ArticlePDF Available

Abstract

Little is known about the mental health impact of having a family member or friend infected with COVID-19. Thus, the purpose of this study was to conduct a comprehensive national assessment of the psychological impact of COVID-19 infection, hospitalization, or death among family members and friends. A multi-item valid and reliable questionnaire was deployed online to recruit adults in the U.S. A total of 2797 adult Americans without a history of COVID-19 infection participated in the study and reported that they had a family member or friend infected with (54%), hospitalized due to (48%), or die (36%) of COVID-19 infection. Symptoms of depression, anxiety, or both (i.e., psychological distress) were statistically significantly higher among those who had family members/friends infected, hospitalized, or die due to COVID-19. Also, this study found that the greater the number of family members/friends affected by COVID-19, or the more severe the COVID-19 infection outcome (i.e., hospitalization vs. death), the higher the odds of symptoms of depression, anxiety, or both. There is an urgent need to develop educational interventions and implement policy measures that address the growing mental health needs of this subgroup of the population that was not infected but indirectly affected by COVID-19 infections among social networks
Citation: Khubchandani, J.; Sharma,
S.; Webb, F.J.; Wiblishauser, M.J.;
Sharma, M. COVID-19 Infection
among Family and Friends: The
Psychological Impact on Non-
Infected Persons. Brain Sci. 2022,12,
1123. https://doi.org/10.3390/
brainsci12091123
Academic Editor: Domenico De
Berardis
Received: 4 August 2022
Accepted: 21 August 2022
Published: 24 August 2022
Publisher’s Note: MDPI stays neutral
with regard to jurisdictional claims in
published maps and institutional affil-
iations.
Copyright: © 2022 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license (https://
creativecommons.org/licenses/by/
4.0/).
brain
sciences
Article
COVID-19 Infection among Family and Friends: The
Psychological Impact on Non-Infected Persons
Jagdish Khubchandani 1, * , Sushil Sharma 2, Fern J. Webb 3, Michael J. Wiblishauser 4and Manoj Sharma 5
1College of Health, Education & Social Transformation, New Mexico State University,
Las Cruces, NM 88003, USA
2Provost Office, Texas A&M University Texarkana, Texarkana, TX 75503, USA
3College of Medicine, University of Florida, Jacksonville, FL 32209, USA
4School of Education, Health Professions & Human Development, University of Houston-Victoria,
Victoria, TX 77901, USA
5School of Public Health, University of Nevada, Las Vegas, NV 89119, USA
*Correspondence: jagdish@nmsu.edu
Abstract:
Little is known about the mental health impact of having a family member or friend infected
with COVID-19. Thus, the purpose of this study was to conduct a comprehensive national assessment
of the psychological impact of COVID-19 infection, hospitalization, or death among family members
and friends. A multi-item valid and reliable questionnaire was deployed online to recruit adults in
the U.S. A total of 2797 adult Americans without a history of COVID-19 infection participated in the
study and reported that they had a family member or friend infected with (54%), hospitalized due to
(48%), or die (36%) of COVID-19 infection. Symptoms of depression, anxiety, or both (i.e., psychologi-
cal distress) were statistically significantly higher among those who had family members/friends
infected, hospitalized, or die due to COVID-19. Also, this study found that the greater the number of
family members/friends affected by COVID-19, or the more severe the
COVID-19
infection outcome
(i.e., hospitalization vs. death), the higher the odds of symptoms of depression, anxiety, or both.
There is an urgent need to develop educational interventions and implement policy measures that
address the growing mental health needs of this subgroup of the population that was not infected
but indirectly affected by COVID-19 infections among social networks.
Keywords: COVID-19; pandemic; infection; depression; anxiety; stress; psychiatry
1. Introduction
The COVID-19 pandemic has caused major upheavals for societies and individuals.
By July 2022, more than six million individuals died of COVID-19 infections and more than
550 million were infected worldwide [
1
]. Beyond the direct health impact of COVID-19
via infections, hospitalizations, and deaths, many other population health problems and
risky health behaviors have been extensively explored and reported in the literature during
the pandemic [
2
7
]. Among the most prominent public health issues explored during the
COVID-19 pandemic, mental health problems have been reported extensively across regions
and populations. For example, a global review from the early stages of the pandemic found
that the prevalence of depression, anxiety, and distress symptoms worldwide were 28.18%,
29.57%, and 25.18%, respectively. In contrast, another review of data from the first year
of the pandemic suggested that the prevalence of depression, anxiety, and distress was
31.4%, 31.9%, and 41.1%, respectively, indicating sharp increases [
8
,
9
]. Several reviews also
focused on special populations. For instance, a review of healthcare workers (HCWs) with
data till April 2020 found the prevalence of depression and anxiety to be 24.1% and 28.6%,
respectively. In contrast, another review of HCWs with data till November 2020 found the
prevalence of anxiety and depression to be 40% and 37%, respectively [
10
,
11
]. Across all
these studies and reviews from various regions and populations, it was noted that the rates
Brain Sci. 2022,12, 1123. https://doi.org/10.3390/brainsci12091123 https://www.mdpi.com/journal/brainsci
Brain Sci. 2022,12, 1123 2 of 12
of psychological problems among individuals worldwide increased substantially during
the pandemic [711].
A plethora of reasons have been cited for the increase in psychological distress and
poor mental health during the COVID-19 pandemic. These findings could be attributed
to a variety of factors such as personality type and pre-pandemic mental health status,
level of control over life, working conditions, household wealth, community resources,
social support, COVID-19-related fears and worries, and above all, resilience [
12
15
]. For
example, an investigation with more than 15,000 European adults earlier in the pandemic
explored resilience and found that good stress response and positive appraisal, specifi-
cally of the consequences of the COVID-19 crisis, were strong predictors of good mental
health. For others, however, since the beginning of the pandemic, stress and associated
maladaptive coping resulted in various health risk behaviors and problems. Subsequently,
within the first year of the COVID-19 pandemic [
13
15
], prolonged lockdowns and social
distancing, isolation and boredom, job insecurity and financial problems, uncertainty re-
lated to the future, and worries and fear were the most common factors cited for poor
mental health [
6
9
,
12
14
]. More recently, misinformation and rumors, internet addiction
or excessive social and mass media consumption, work-life imbalance or altered family
responsibilities, occupational losses or changes, food insecurity and material deprivation,
the stigma of infection or becoming infected with COVID-19, fear of COVID-19 infection,
and prevailing social and political upheaval have also been explored with regards to mental
health during the pandemic [1419].
Despite the extant literature on psychological distress during the pandemic, little is
known about the psychological impact of COVID-19 infections among family and friends.
Thus, the purpose of this investigation was to assess the psychological health of a national
random sample of adult Americans who were not infected with COVID-19 but had family
members or friends infected with COVID-19 virus. Specifically, we aimed to investigate the
proportion of individuals who had a family member or friend infected/hospitalized/die
due to COVID-19, the prevalence of symptoms of depression and anxiety, and the differ-
ences in the burden of anxiety and depression symptoms based on whether or not someone
had a family member or friend infected/hospitalized/die due to COVID-19.
2. Methods
A multi-component valid and reliable questionnaire was deployed via Amazon mTurk
and emails to social networks and community organizations across the United States
from June-September 2021 [
12
,
13
,
15
,
17
]. To estimate the required sample size, an a pri-
ori power analysis was conducted. Based on the total population of adults in the USA
(
n=250 million
), 99% confidence levels, and a conservative 3% margin of error, a total of
1844 participants were needed for the study (assuming that half of them knew someone
who was infected, hospitalized, or died of COVID-19). A total of 2797 adult Americans
participated in this study (exceeding the required sample size) [
12
,
15
]. A comprehensive
literature review was conducted to compile a draft survey with face validity. This initial
survey draft was reviewed by a panel of experts (n= 3) to ensure content validity. Based
on the feedback of the experts, several changes were made to the draft to create the final
questionnaire [
15
20
]. The final survey consisted of three major sections (i.e., questions
on COVID-19 infection, psychological distress, and sociodemographic information of the
study participants). To screen for potential participants, we asked the study participants
if they had ever tested positive for COVID-19 infection (with response options ‘yes’ vs.
‘no’). Only those who never tested positive for COVID-19 infection or never had COVID-19
infection were included in this study.
The study participants were asked if they knew someone (i.e., family members or
friends) who tested positive for COVID-19, was hospitalized due to COVID-19 or died due
to COVID-19 infection. The response options for these questions were: yes, one person’; yes,
more than one person’; or no, I do not know anyone (infected with, hospitalized for, died due
to COVID-19). The internal consistency reliability was computed for these three COVID-19
Brain Sci. 2022,12, 1123 3 of 12
infection-related questions and was found to be high (Cronbach alpha = 0.86). Next, using
the reliable and valid Patient Health Questionnaire-4 (PHQ-4) we assessed symptoms
of anxiety (GAD-2), depression (PHQ-2), or both (PHQ-4) in the study sample [
17
20
].
Internal consistency reliability for the PHQ-4 components was computed and found to
be reasonable (GAD-2 alpha = 0.74; PHQ-2 alpha = 0.72; PHQ-4 alpha = 0.83). In the
last section of the survey, study participants were asked about their sociodemographic
characteristics. IRB approval was sought before data collection for the study.
Data were analyzed using IBM SPSS 26 software. In the primary approach, we com-
puted descriptive statistics (i.e., frequencies and percentages) to delineate the sociodemo-
graphic characteristics of the study population and the distribution of COVID-19 infection,
hospitalizations, and deaths in the social networks of the study participants. Subsequently,
Chi-square tests were conducted to assess group differences in symptoms of anxiety, de-
pression, or both (psychological distress) based on sociodemographic characteristics and
COVID-19 infection among friends and family members. Finally, a multiple regression
analysis was conducted to explore the relationship between COVID-19 infection among
family members/friends and psychological distress. Depression, anxiety, or symptoms
of both, were the outcome variables while COVID-19 among family members/friends
was treated as the predictor variables (where the ‘no’ infection, hospitalization, or death
groups were used as comparison groups). Adjusted odds ratios (AOR with 95% confidence
intervals) were computed for the probability of psychological distress based on COVID-19
among family/friends. Statistical significance was set at p< 0.05.
3. Results
A total of 2797 adult Americans without COVID-19 infection history participated in
the study where the majority (>50%) were male, 18–35 years old, married, with children
at home, White, employed full-time, college graduates, with incomes
$60,000, and
urban dwellers (Table 1). With regards to the psychological outcomes, almost a third or
more of the study participants reported anxiety symptoms (33%), depression symptoms
(43%), or symptoms of both anxiety and depression (psychological distress; 32%) (Table 1).
These symptoms differed statistically significantly by demographic characteristics and the
prevalence of these symptoms was highest for 18–35-year-olds, married individuals, those
with children at home, college degree holders, those with incomes
$60,000, or living in
rural areas. White individuals were most likely to have anxiety symptoms (38%) while
Hispanics were more likely to have depression symptoms (54%). Those working full-time
were more likely to have anxiety symptoms (34%) while part-time employed persons were
more likely to have depression symptoms (45%) (Table 1).
Table 1.
Background Characteristics of Study Participants Stratified by Anxiety and Depression
Symptoms.
Total Anxiety Symptoms Depression
Symptoms
Psychological
Distress
Variable N (%) N (%) N (%) N (%)
All Participants 2797 (100) 928 (33) 1198 (43) 899 (32)
Sex
Male 1688 (60) 573 (34) 733 (43) 557 (33)
Female 1109 (40) 355 (32) 465 (42) 342 (31)
Age Group
18–25 years 420 (15) 153 (36) * 200 (48) * 155 (37) *
26–35 years 1416 (50) 470 (33) 611 (43) 456 (32)
36–45 years 604 (22) 194 (32) 260 (43) 185 (31)
46–59 years 245 (9) 86 (35) 97 (40) 77 (31)
60 years 112 (4) 25 (22) 30 (27) 26 (23)
Brain Sci. 2022,12, 1123 4 of 12
Table 1. Cont.
Total Anxiety Symptoms Depression
Symptoms
Psychological
Distress
Variable N (%) N (%) N (%) N (%)
Marital Status
Single/never married 791 (28) 269 (34) 330 (42) 264 (33) *
Married 1650 (59) 561 (34) 726 (44) 545 (33)
Engaged/living with a partner
184 (7) 54 (29) 74 (40) 52 (28)
Divorced/separated 133 (5) 32 (24) 52 (39) 26 (20)
Other (e.g., widow) 39 (2) 12 (31) 16 (41) 12 (31)
Children at home
Yes 1649 (59) 600 (36) * 769 (47) * 582 (35) *
No 1148 (41) 328 (29) 429 (37) 317 (28)
Race/Ethnicity
White 1591 (57) 606 (38) * 728 (46) 603 (38) *
Black 467 (17) 134 (29) 186 (40) 129 (28)
Asian 202 (7) 49 (24) 58 (29) 44 (22)
Multiracial 252 (9) 37 (15) 99 (39) 31 (12)
Other race 285 (10) 102 (36) 127 (45) 92 (32)
Hispanic 1141 (41) 418 (37) 617 (54) * 409 (36)
Education
High school 282 (10) 95 (34) 103 (37) 92 (33)
Some college 800 (29) 228 (29) 303 (38) 209 (26)
Bachelor’s degree 1332 (48) 476 (36) * 624 (47) * 465 (35)
Master’s degree 383 (13) 129 (34) 168 (44) 133 (35) *
Employment Status
Full-time 2137 (76) 736 (34) * 922 (43) 724 (34) *
Part-time 477 (17) 140 (29) 215 (45) * 132 (28)
Not employed 183 (7) 52 (28) 61 (33) 43 (24)
Annual Household Income
0–$60,000 1555 (56) 597 (38) * 734 (47) * 574 (37) *
$60,001 1242 (44) 331 (27) 464 (37) 325 (26)
Location
Rural 487 (17) 188 (39) * 237 (49) * 174 (36) *
Urban 1608 (58) 554 (35) 732 (46) 541 (34)
Suburban 702 (25) 186 (27) 229 (33) 184 (26)
* Indicates p< 0.05. N(%) Indicates frequencies and percentages. Psychological distress indicates symptoms of
both depression and anxiety.
When asked about COVID-19 infection among family members and friends, 16% knew
one person and 38% knew more than one COVID-19 infected person (Table 2). Similarly,
20% knew one person and 28% knew more than one person hospitalized due to
COVID-19
infection. More than a third (36%) of participants had at least one family member or
friend die due to COVID-19 infection. Individuals who had a family member/friend
infected, hospitalized, or die due to COVID-19 infection had statistically significantly
higher rates of anxiety, depression, or symptoms of both (Table 2). Compared to those who
did not have a family member/friend affected by COVID-19 infections, knowing even one
COVID-19
affected person increased the rate of psychological distress, and having more
than one family member/friend affected by COVID-19 infection further increased the rate
of psychological distress among study participants (Table 2).
Brain Sci. 2022,12, 1123 5 of 12
Table 2.
COVID-19 Infection Among Family/Friends Stratified by Anxiety and Depression Symptoms.
Total Anxiety
Symptoms
Depression
Symptoms
Psychological
Distress
Variable N (%) N (%) N (%) N (%)
Family Members/Friends Infected with COVID-19
No 1284 (46) 333 (26) 525 (41) 321 (25)
Yes, one person 460 (16) 173 (38) 211 (46) 170 (37)
Yes, more than one person 1053 (38) 422 (40) * 462 (44) 408 (39) *
Family Members/Friends Hospitalized due to COVID-19
No 1455 (52) 363 (25) 555 (38) 337 (23)
Yes, one person 561 (20) 211 (38) 250 (45) 206 (37)
Yes, more than one person 781 (28) 354 (45) * 393 (50) * 356 (46) *
Family Members/Friends Died due to COVID-19
No 1773 (64) 460 (26) 670 (38) 433 (24)
Yes, one person 485 (17) 193 (40) 230 (47) 190 (39)
Yes, more than one person 539 (19) 275 (51) * 298 (55) * 276 (51) *
* Indicates p< 0.05. N(%) Indicates frequencies and percentages. Psychological distress = symptoms of both
depression and anxiety.
Multiple logistic regression analyses were conducted to assess the association between
psychological distress and having a family member/friend who was infected, hospitalized,
or die due to COVID-19 infection (Table 3). Those who did not know anyone who was
infected, hospitalized, or die due to COVID-19 were the comparison group in the logistic
regression. Despite adjustment for sociodemographic characteristics, individuals who re-
ported having family members/friends infected, hospitalized, or die due to COVID-19 were
statistically significantly more likely to report psychological distress. For anxiety symptoms,
knowing one infected person [AOR = 1.70 (95% CI = 1.34–2.15)] or more than one infected
person [AOR = 2.14 (95% CI = 1.78–2.58)] increased the risk of these symptoms. Similarly,
knowing one hospitalized person [AOR = 1.74 (
95% CI = 1.40–2.16)
] or more than one hos-
pitalized person [AOR = 2.54 (95% CI = 2.10–3.09)], significantly increased the risk of anxiety
symptoms. Having one person die due to COVID-19 [
AOR = 1.81
(
95% CI = 1.45–2.26
)] or
more than one person die due to COVID-19 [AOR = 2.93 (
95% CI = 2.38–3.60
)] significantly
increased the risk of anxiety symptoms. For depression symptoms, knowing one infected
person [AOR = 1.30 (95% CI = 1.03–1.63)] or more than one infected person [
AOR= 1.33
(
95% CI
= 1.11–1.59)] increased the risk of these symptoms. Similarly, knowing one hos-
pitalized person [AOR = 1.28 (95% CI = 1.04–1.59)] or more than one hospitalized person
[
AOR = 1.72
(95% CI = 1.43–2.07)], significantly increased the risk of depression symp-
toms. Having one family member/friend die due to COVID-19 infection [
AOR = 1.48
(
95% CI = 1.19–1.83)
] or more than one family member/friend die due to COVID-19 in-
fection [AOR = 2.06 (95% CI = 1.68–2.53)] significantly increased the risk of depression
symptoms. Symptoms of both depression and anxiety (i.e., psychological distress) statisti-
cally significantly increased with having one or more than one family member or friend
infected, hospitalized, or die due to COVID-19 (Table 3). In the final approach, the entire
study population of non-infected adult Americans was grouped into two categories based
on whether or not they had a family member/friend infected, hospitalized, or die due to
COVID-19 (no vs. yes and ‘no’ was the comparison group; Table 3). Compared to those
who did not have a family member/friend infected, hospitalized, or die of COVID-19,
those who had one or more known person who was affected with COVID-19 infection were
statistically significantly more likely to have depression symptoms, anxiety symptoms, or
symptoms of both anxiety and depression.
Brain Sci. 2022,12, 1123 6 of 12
Table 3.
Multiple Regression to Predict Depression/Anxiety Symptoms Based on COVID-19 Infection
Among Family/Friends.
Predictor (3 Categories)
Anxiety
Symptoms
Depression
Symptoms
Psychological
Distress
AOR (95% CI) AOR (95% CI) AOR (95% CI)
Family Members/Friends Infected with COVID-19
No Ref Ref Ref
Yes, one person 1.70 (1.34–2.15) * 1.30 (1.03–1.63) * 1.73 (1.36–2.21) *
Yes, more than one person 2.14 (1.78–2.58) ** 1.33 (1.11–1.59) * 2.12 (1.75–2.56) **
Family Members/Friends Hospitalized due to COVID-19
No Ref Ref Ref
Yes, one person 1.74 (1.40–2.16) * 1.28 (1.04–1.59) * 1.85 (1.48–2.31) *
Yes, more than one person 2.54 (2.10–3.09) ** 1.72 (1.43–2.07) * 2.84 (2.34–3.45) **
Family Members/Friends Died due to COVID-19
No Ref Ref Ref
Yes, one person 1.81 (1.45–2.26) * 1.48 (1.19–1.83) * 1.93 (1.54–2.40) *
Yes, more than one person 2.93 (2.38–3.60) ** 2.06 (1.68–2.53) ** 3.22 (2.61–3.96) **
Predictor (2 Categories = No & Yes)
Anxiety
Symptoms
Depression
Symptoms
Psychological
Distress
AOR (95% CI) AOR (95% CI) AOR (95% CI)
Family Members/Friends Infected with COVID-19
No Ref Ref Ref
Yes, one or more than one 1.90 (1.60–2.25) ** 1.28 (1.08–1.53) ** 1.86 (1.54–2.25) **
Family Members/Friends Hospitalized due to COVID-19
No Ref Ref Ref
Yes, one or more than one 2.00 (1.77–2.07) ** 1.44 (1.26–1.71) ** 2.25 (1.90–2.70) **
Family Members/Friends Died due to COVID-19
No Ref Ref Ref
Yes, one or more than one 2.27 (1.90–2.71) ** 1.76 (1.48–2.08) ** 2.46 (2.07–2.93) **
* Indicates p< 0.05. ** Indicates p< 0.01. AOR = adjusted odds ratios. 95% CI = confidence intervals. The binary
outcomes were depression, anxiety, and moderate to severe psychological distress (yes vs. no). The predictor
variable was COVID-19 infection, hospitalization, or death among family and friends (No was comparison group;
Ref. OR = 1). Multiple regression analyses show the odds of various psychological outcomes after adjusting for
the demographic characteristics from Table 1.
4. Discussion
By August 2022, more than 95 million Americans were infected and more than a mil-
lion died due to COVID-19 infection [
1
,
21
]. In this national study, 54% of the participants
reported having a family member/friend infected with COVID-19 and 48% knew a person
who was hospitalized due to COVID-19. These findings indicate the rampant spread of the
virus across communities nationwide and the impact of this pandemic on the entire popula-
tion, including those not infected. For example, having at least one family member/friend
infected, hospitalized, or die from COVID-19 was found to be associated with an increased
risk of anxiety or depression symptoms or both anxiety and depression (psychological
distress). Also, the relationship between having a family member/friend infected, hos-
pitalized, or die from COVID-19 and psychological distress had a dose-response pattern;
the higher the number of family members/friends affected by COVID-19, the greater the
odds of having symptoms of psychological distress among non-infected adult Americans.
Furthermore, the odds of psychological distress symptoms increased in a graded manner
among study participants based on the severity of COVID-19-related outcomes among
family members/friends (i.e., odds of psychological distress increased from infection to
hospitalization to death of a family member/friend due to COVID-19).
Compared to those who did not know anyone who was infected, those who knew one
or more infected persons were statistically significantly more likely to have symptoms of
Brain Sci. 2022,12, 1123 7 of 12
both depression and anxiety (25% vs. 37% vs. 39%). The fear of getting infected by someone
in the social networks, having a family member/friend in quarantine, uncertainty about
the outcome of infection among family members/friends, work-family disruption, and
stress due to the illness of a member in the social network could have led to the higher risk
of anxiety and depression symptoms among non-infected individuals [
7
9
,
12
,
18
,
22
24
].
Similarly, compared to those who did not have a family member/friend hospitalized due
to COVID-19 infection, those who had one or more family members/friends hospitalized
due to COVID-19 were more likely to have symptoms of both depression and anxiety (23%
vs. 37% vs. 46%). Recent studies suggest that hospitalized COVID-19 patients and their
relatives may have a nearly equal prevalence of psychological distress. Also, the rates of
psychological distress were found to be higher in relatives of COVID-19 intensive care
patients than relatives of intensive care patients who had other health problems [
23
27
].
There are a myriad of reasons postulated for psychological distress, such as caregiver
burden, uncertainty about infection outcomes in family members, fear of death of a dear
one, not being supported by healthcare facilities and providers, communication-related
challenges with medical providers and other family members, lack of social connections and
support, financial concerns, added household responsibilities, and inability to see/meet
COVID-19 infected family members (especially, if they are in an intensive care unit) [
23
29
].
Unfortunately, healthcare workers who took care of COVID-19 patients have also been
shown to suffer similar or nearly the same levels of psychological distress [10,11].
An additional key finding in this national study was that more than a third (36%) of
the participants had a family member/friend die due to COVID-19 infection. Compared
to those who did not have a family member/friend die due to COVID-19, those who had
one or more than one person die were significantly more likely to have symptoms of both
depression and anxiety (24% vs. 39% vs. 51%). Studies before the pandemic established
the relationship between sudden deaths in the family, bereavement, prolonged grief, and
multidimensional psychological distress [
29
32
]. The COVID-19 pandemic has created
unprecedented circumstances with mass bereavement, inability to see loved ones before
death, overwhelming stress and fear, disruption of rituals/traditions, unusual management
of dead bodies and funerals (to contain infection), unexpected life changes or alterations in
family responsibilities and caregiving, losing a head of the household or income earners,
multiple infected members in the household, and lack of emotional and social support for
families who have lost a family member due to COVID-19 infection [
28
33
]. Unsurprisingly,
the highest odds of psychological distress were observed among those who lost more than
one family member or friend due to COVID-19 [AOR = 3.22 (95% CI = 2.61–3.96)].
Findings from our study provide significant information about the mental status
of the general population throughout the United States during the COVID-19 pandemic
(especially of those who had family members/friends/relatives hospitalized or die due
to COVID-19 infection). For example, a back-of-the-envelope calculation suggests that
by August 2022, there were approximately 200+ million Americans without a confirmed
COVID-19 infection [
1
,
21
]. Based on our national survey findings, approximately half of
the non-infected Americans had a family member/friend infected or hospitalized due to
COVID-19 (equating to roughly 100 million people) and another third lost a family mem-
ber/friend due to COVID-19 infection (equating to roughly 70 million people). Considering
our study results, even if a third of these people now have new onset of symptoms of
anxiety or depression due to COVID-19-related hospitalizations and death in the social
networks, the estimated number of additional Americans with these symptoms would
easily exceed 25 million people (in addition to more than 50 million who had a diagnosable
mental illness before the pandemic) [
3
,
12
,
15
,
20
]. Experts estimate that without urgent
interventions, the burden of mental disorders, associated disability, and loss of productivity
will continue to increase in the U.S. due to the pandemic, and for each additional person
needing mental healthcare (e.g., had a family member die due to COVID-19), the total
cost could run into trillions of dollars [
3
,
12
,
19
]. The results of our national assessment
indicate an urgent need to prioritize the exploration and implementation of multipronged
Brain Sci. 2022,12, 1123 8 of 12
interventions for mental health promotion that are customized to families, close relatives,
and friends of those individuals who were hospitalized for or died due to COVID-19.
The United States has suffered some of the worst outbreaks of COVID-19 infections
during the pandemic and profound upheaval across the nation. In response, federal and
statewide efforts are underway to increase awareness about mental illness and the impor-
tance of obtaining help for psychological stress (e.g., online resources from government
agencies) [
34
,
35
]. Additional initiatives and interventions are being explored by regional
professional organizations, community-based agencies, worksites, and schools [
33
,
34
,
36
,
37
].
Experts have also made recommendations on bereavement services, grief counseling, cop-
ing with stress during public health emergencies, trauma-informed approaches to public
mental health promotion, and best practices for healthcare workers who deal with psycho-
logical distress among patients and their relatives [
23
32
,
38
40
]. However, there remains a
lack of coordinated national programs across countries to provide direct consumer services
to address mental health problems during the COVID-19 pandemic. The need for the
development and provision of mental health care-related programs designed to engage
large population groups from various settings continues to increase, in part as a result of
the ongoing COVID-19 pandemic. Two major areas of research need greater resources and
attention. First, future research should focus on the scalability, reach, and impact of existing
initiatives and interventions to determine the extent to which they mitigate psychological
distress among those who have been affected by COVID-19 directly and indirectly. Second,
innovations using technology should be explored to provide a wider array of population
mental health promotion services [7,9,18,37,38].
In light of the burden of mental health problems nationally and globally, public
health practitioners need to address this issue at both the educational level and policy
level [
39
45
]. The major challenges that can be addressed through public health education
interventions are improving communication with health care providers, enhancing com-
munication within the social networks of individuals affected by COVID-19, enhancing the
comprehension of medical information, promoting health literacy, providing information
on grief/bereavement counseling and related services, reducing stigma around mental
health problems and help-seeking, promoting stress management strategies, advertising
resources available to the general public, and sensitizing people on the risk factors for poor
mental health [
42
45
]. For policy-level interventions, there is an urgent need to allocate
greater funding for mental health promotion interventions and strengthening the physi-
cal infrastructure and social services. For example, public policy initiatives should help
increase community capacity for COVID-19 prevention and mental health promotion, re-
sources for community mental health surveillance, mental health promotion interventions
in healthcare systems, mental health related training and professional development for com-
munity health workers, workplace incentives and practices for physical and mental health
promotion, support for schools/colleges to provide healthy lifestyle interventions and men-
tal health/case management services, suicide prevention and awareness campaigns, group
and family based interventions (e.g., problem solving, coping, etc.), creating pipelines
of linguistically and culturally competent mental healthcare providers, primary care and
community-based screening services and gatekeeping efforts, web-based interventions
to promote sleep hygiene and stress management, community based strategies to reduce
substance use and promote healthier lifestyles (e.g., exercise), social services/benefits for
those who are most at risk (e.g., those who lost an income earner), telehealth and tech-
nology investments, and assistance with the deployment of community-based activities
and services (e.g., phone lines, support groups, social/mass media channels, counseling
sessions, bereavement support, funeral services, etc.) [3747].
Most of the existing studies before this national assessment had critical limitations
[2333]
.
First, most of the existing studies were from hospital or healthcare facility-based samples
of family members of infected/hospitalized patients. Second, these studies were mostly
regional with small sample sizes. Third, the majority of the studies were outside the
United States and were not population-based random samples. Fourth, the studies did
Brain Sci. 2022,12, 1123 9 of 12
not delineate the number of family members/friends infected, hospitalized, or dead due
to COVID-19 (we used a scale of 0, 1, or more than 1 to assess the graded impact on
psychological distress). Finally, earlier studies did not assess the psychological impact of
COVID-19 infections among non-infected family members or friends [2333].
Limitations and Future Directions
Despite our attempt to address the aforementioned limitations of previous studies, the
results of our study are restricted by all the threats to validity and reliability inherent to
survey study design (e.g., reliance on self-reported behaviors, recall bias in participants,
and the inability to establish cause-and-effect relationships). Another threat to validity is
the nature of the sample (e.g., limited to those with internet connection or understanding
of online surveys). Since the beginning of the COVID-19 pandemic, the United States has
experienced several very distinct waves of infection surge. It could be possible that with
each wave the psychological status or morbidity and mortality in social networks could
have changed. We could not correlate the impact of such waves on psychological symptoms
and COVID-19-related morbidity and mortality in social networks due to the cross-sectional
nature of this one-time survey study. Also, we did not ascertain nuances such as the time
since the death of a family member/friend or the duration of hospitalization of a family
member/friend due to COVID-19; these details could have an impact on the level of
psychological distress (i.e., temporal sequence of events and duration of distress).
Additional and longitudinal studies with larger samples of those who have had
family members or friends hospitalized or die due to COVID-19 infection are warranted to
understand the true and long-term burden of grief, worries, other mental health problems
(e.g., PTSD), and psychological distress among adults and children affected. In addition,
among those who had a family member or friend directly affected by COVID-19, future
studies should also examine in community settings any confounders such as pre-existing
mental illness, family structure, household wealth and resources, access to and usage
of mental healthcare, social support, and relationship with those who were hospitalized
or died due to COVID-19 [
19
,
23
26
]. An examination of such variables would provide
precise and critical insights into the nature and extent of psychological problems among
those who had a family member or friend infected with COVID-19. Finally, in addition to
the aforementioned education and policy interventions, professional organizations and
government agencies should increase funding for mental health research. As COVID-
19 continues to disrupt the social and economic fabric of societies along with impacting
the physical and mental health of the public, such funding is much needed and will
be critical for our understanding of COVID-19-related fear, trauma, neurobiological and
cognitive changes, and resilience. Such research initiatives will help design evidence-based
interventions for rehabilitation, healing, and providing solutions for population mental
health problems that have become rampant due to the ongoing COVID-19 assault [
46
48
].
5. Conclusions
In this national assessment, a large proportion of American people without a history
of COVID-19 infection reported having a family member or friend infected, hospitalized,
or die due to COVID-19 infection. These individuals were significantly more likely to
have symptoms of psychological distress compared to those who did not have family
members or friends infected with COVID-19. Family members, friends, and relatives of
those affected by COVID-19 through infection, hospitalization, or death suffer from a higher
level of anxiety and depression symptoms. There is an urgent need to develop educational
interventions and implement policy measures that address the growing mental health
needs and provide the necessary support to, this subgroup of the population not infected
but indirectly affected by COVID-19 infections.
Brain Sci. 2022,12, 1123 10 of 12
Author Contributions:
Conceptualization/methodology: J.K. and S.S.; data collection, J.K., S.S.,
M.J.W. and F.J.W.; formal analysis, J.K. and M.J.W.; writing—original draft preparation, S.S., M.J.W.,
F.J.W. and M.S.; writing—review and editing, M.S., M.J.W. and F.J.W.; project administration, J.K. and
S.S. All authors have read and agreed to the published version of the manuscript.
Funding: No external funding was received for this study.
Institutional Review Board Statement:
The study was conducted according to the guidelines of the
Declaration of Helsinki, and approved by the Institutional Review Board of Ball State University.
Informed Consent Statement:
Informed consent was obtained from all subjects involved in the study.
Data Availability Statement:
The data presented in this study are available on request from the
corresponding author.
Conflicts of Interest: The authors have no conflicts of interest to declare.
References
1.
New York Times. Coronavirus World Map: Tracking the Global Outbreak. 2022. Available online: https://www.nytimes.com/
interactive/2021/world/covid-cases.html (accessed on 24 August 2022).
2.
Abrams, E.M.; Greenhawt, M.; Shaker, M.; Pinto, A.D.; Sinha, I.; Singer, A. The COVID-19 pandemic: Adverse effects on the social
determinants of health in children and families. Ann. Allergy Asthma Immunol. 2022,128, 19–25. [CrossRef] [PubMed]
3.
Cutler, D.M.; Summers, L.H. The COVID-19 pandemic and the $16 trillion virus. JAMA
2020
,324, 1495–1496. [CrossRef] [PubMed]
4.
Khubchandani, J.; Price, J.H.; Sharma, S.; Wiblishauser, M.J.; Webb, F.J. COVID-19 pandemic and weight gain in American adults:
A nationwide population-based study. Diabetes Metab. Syndr. 2022,16, 102392. [CrossRef] [PubMed]
5.
Jacob, L.; Loosen, S.H.; Kalder, M.; Luedde, T.; Roderburg, C.; Kostev, K. Impact of the COVID-19 pandemic on cancer diagnoses
in general and specialized practices in Germany. Cancers 2021,13, 408. [CrossRef]
6. Chen, L.; Li, J.; Xia, T.; Matthews, T.A.; Tseng, T.-S.; Shi, L.; Zhang, D.; Chen, Z.; Han, X.; Li, Y.; et al. Changes of exercise, screen
time, fast food consumption, alcohol, and cigarette smoking during the COVID-19 pandemic among adults in the United States.
Nutrients 2021,13, 3359. [CrossRef]
7.
Maarefvand, M.; Hosseinzadeh, S.; Farmani, O.; Safarabadi Farahani, A.; Khubchandani, J. Coronavirus outbreak and stress in
Iranians. Int. J. Environ. Res. Public Health 2020,17, 4441. [CrossRef]
8.
Wu, T.; Jia, X.; Shi, H.; Niu, J.; Yin, X.; Xie, J.; Wang, X. Prevalence of mental health problems during the COVID-19 pandemic: A
systematic review and meta-analysis. J. Affect. Disord. 2021,281, 91–98. [CrossRef]
9.
Mahmud, S.; Mohsin, M.; Dewan, M.; Muyeed, A. The global prevalence of depression, anxiety, stress, and insomnia among
general population during COVID-19 pandemic: A systematic review and meta-analysis. Trends Psychol. 2022, 1–28. [CrossRef]
10.
Saragih, I.D.; Tonapa, S.I.; Saragih, I.S.; Advani, S.; Batubara, S.O.; Suarilah, I.; Lin, C.J. Global prevalence of mental health
problems among healthcare workers during the Covid-19 pandemic: A systematic review and meta-analysis. Int. J. Nurs. Stud.
2021,121, 104002. [CrossRef]
11.
Hao, Q.; Wang, D.; Xie, M.; Tang, Y.; Dou, Y.; Zhu, L.; Wu, Y.; Dai, M.; Wu, H.; Wang, Q. Prevalence and risk factors of mental
health problems among healthcare workers during the COVID-19 pandemic: A systematic review and meta-analysis. Front.
Psychiatry 2021,12, 567381. [CrossRef]
12.
Khubchandani, J.; Sharma, S.; Webb, F.J.; Wiblishauser, M.J.; Bowman, S.L. Post-lockdown depression and anxiety in the USA
during the COVID-19 pandemic. J. Public Health 2021,43, 246–253. [CrossRef] [PubMed]
13.
Veer, I.M.; Riepenhausen, A.; Zerban, M.; Wackerhagen, C.; Puhlmann, L.M.; Engen, H.; Kalisch, R. Psycho-social factors
associated with mental resilience in the Corona lockdown. Transl. Psychiatry 2021,11, 67. [CrossRef] [PubMed]
14.
Kinser, P.A.; Jallo, N.; Amstadter, A.B.; Jones, E.; Moyer, S.; Rider, A.; Karjane, N.; Salisbury, A.L. Depression, anxiety, resilience,
and coping: The experience of pregnant and new mothers during the first few months of the COVID-19 pandemic. J. Womens
Health 2021,30, 654–664. [CrossRef] [PubMed]
15.
Khubchandani, J.; Sharma, S.; Price, J.H. COVID-19 pandemic and the burden of internet addiction in the United States. Psychiatry
Int. 2021,2, 402–409. [CrossRef]
16.
Buturoiu, R.; Udrea, G.; Oprea, D.A.; Corbu, N. Who believes in conspiracy theories about the COVID-19 pandemic in Romania?
An analysis of conspiracy theories believers’ profiles. Societies 2021,11, 138. [CrossRef]
17.
Khubchandani, J.; Sharma, S.; Wiblishauser, M.J.; Price, J.H.; Webb, F.J. COVID-19 related information and psychological distress:
Too much or too bad? Brain Behav. Immun. Health 2021,12, 100213. [CrossRef]
18.
Clemente-Suárez, V.J.; Martínez-González, M.B.; Benitez-Agudelo, J.C.; Navarro-Jiménez, E.; Beltran-Velasco, A.I.; Ruisoto, P.;
Arroyo, E.D.; Laborde-Cárdenas, C.; Tornero-Aguilera, J.F. The impact of the COVID-19 pandemic on mental disorders. A critical
review. Int. J. Environ. Res. Public Health 2021,18, 10041. [CrossRef]
19.
Khubchandani, J.; Price, J.H.; Sharma, S.; Wiblishauser, M.J.; Webb, F.J. COVID-19 infection survivors and the risk of depression
and anxiety symptoms: A nationwide study of adults in the United States. Eur. J. Intern. Med. 2022,97, 119–121. [CrossRef]
Brain Sci. 2022,12, 1123 11 of 12
20.
Khubchandani, J.; Brey, R.; Kotecki, J.; Kleinfelder, J.; Anderson, J. The psychometric properties of PHQ-4 depression and anxiety
screening scale among college students. Arch. Psychiatr. Nurs. 2016,30, 457–462. [CrossRef]
21.
Centers for Disease Control and Prevention. COVID Data Tracker: Daily Update for the United States. 2022. Available online:
https://covid.cdc.gov/covid-data-tracker/#datatracker-home (accessed on 18 August 2022).
22.
Burkova, V.N.; Butovskaya, M.L.; Randall, A.K.; Fedenok, J.N.; Ahmadi, K.; Alghraibeh, A.M.; Allami, F.B.M.; Alpaslan, F.S.;
Al-Zu’Bi, M.A.A.; Al-Mseidin, K.I.M.; et al. Factors associated with highest symptoms of anxiety during COVID-19: Cross-cultural
study of 23 Countries. Front. Psychol. 2022,13, 805586. [CrossRef]
23.
Koçak, O.; Koçak, Ö.E.; Younis, M.Z. The psychological consequences of COVID-19 fear and the moderator effects of individuals’
underlying illness and witnessing infected friends and family. Int. J. Environ. Res. Public Health
2021
,18, 1836. [CrossRef]
[PubMed]
24.
Hertz-Palmor, N.; Gothelf, D.; Matalon, N.; Dorman-Ilan, S.; Basel, D.; Bursztyn, S.; Shani, S.; Mosheva, M.; Gross, R.; Pessach,
I.M.; et al. Left alone outside: A prospective observational cohort study on mental health outcomes among relatives of COVID-19
hospitalized patients. Psychiatry Res. 2022,307, 114328. [CrossRef] [PubMed]
25.
Greenberg, J.A.; Basapur, S.; Quinn, T.V.; Bulger, J.L.; Schwartz, N.H.; Oh, S.K.; Shah, R.C.; Glover, C.M. Challenges faced
by families of critically ill patients during the first wave of the COVID-19 pandemic. Patient Educ. Couns.
2022
,105, 297–303.
[CrossRef]
26.
Vincent, A.; Beck, K.; Becker, C.; Zumbrunn, S.; Ramin-Wright, M.; Urben, T.; Quinto, A.; Schaefert, R.; Meinlschmidt, G.;
Gaab, J.; et al. Psychological burden in patients with COVID-19 and their relatives 90 days after hospitalization: A prospective
observational cohort study. J. Psychosom. Res. 2021,147, 110526. [CrossRef] [PubMed]
27.
Kosovali, B.D.; Tezcan, B.; Aytaç, I.; Peker, T.T.; Soyal, O.B.; Mutlu, N.M. Anxiety and depression in the relatives of COVID-19 and
non-COVID-19 intensive care patients during the pandemic. Cureus 2021,13, e20559. [CrossRef]
28.
Dorman-Ilan, S.; Hertz-Palmor, N.; Brand-Gothelf, A.; Hasson-Ohayon, I.; Matalon, N.; Gross, R.; Chen, W.; Abramovich, A.;
Afek, A.; Ziv, A.; et al. Anxiety and depression symptoms in COVID-19 isolated patients and in their relatives. Front. Psychiatry
2020,11, 581598. [CrossRef]
29.
Dorman-Ilan, S.; Hertz-Palmor, N.; Brand-Gothelf, A.; Hasson-Ohayon, I.; Matalon, N.; Gross, R.; Chen, W.; Abramovich, A.;
Afek, A.; Ziv, A.; et al. Prevalence and factors associated with psychological burden in COVID-19 patients and their relatives: A
prospective observational cohort study. PLoS ONE 2021,16, e0250590. [CrossRef]
30.
Chen, C.Y.C. Grieving during the COVID-19 pandemic: In-person and virtual “goodbye”. Omega
2022
, 302228221090754.
[CrossRef]
31.
Aguiar, A.; Pinto, M.; Duarte, R. A qualitative study on the impact of death during COVID-19: Thoughts and feelings of
Portuguese bereaved adults. PLoS ONE 2022,17, e0265284. [CrossRef]
32.
Jordan, T.R.; Wotring, A.J.; McAfee, C.A.; Polavarapu, M.; Cegelka, D.; Wagner-Greene, V.R.; Hamdan, Z. The COVID-19
pandemic has changed dying and grief: Will there be a surge of complicated grief? Death Stud. 2022,46, 84–90. [CrossRef]
33.
Selman, L.E.; Farnell, D.J.J.; Longo, M.; Goss, S.; Seddon, K.; Torrens-Burton, A.; Mayland, C.R.; Wakefield, D.; Johnston, B.; Byrne,
A.; et al. Risk factors associated with poorer experiences of end-of-life care and challenges in early bereavement: Results of a
national online survey of people bereaved during the COVID-19 pandemic. Palliat. Med.
2022
,36, 717–729. [CrossRef] [PubMed]
34.
Center for Disease Control and Prevention. Coping with Stress. 2022. Available online: https://www.cdc.gov/mentalhealth/
stress-coping/cope-with-stress/index.html (accessed on 9 August 2022).
35.
Khubchandani, J.; Kandiah, J.; Saiki, D. The COVID-19 pandemic, stress, and eating practices in the United States. Eur. J. Investig.
Health Psychol. Educ. 2020,10, 950–956. [CrossRef] [PubMed]
36.
Rodriguez-Quintana, N.; Meyer, A.E.; Bilek, E.; Flumenbaum, R.; Miner, K.; Scoville, L.; Warner, K.; Koschmann, E. Development
of a brief group CBT intervention to reduce COVID-19 related distress among school-age youth. Cogn. Behav. Pract.
2021
,28,
642–652. [CrossRef] [PubMed]
37.
Rodriguez-Quintana, N.; Meyer, A.E.; Bilek, E.; Flumenbaum, R.; Miner, K.; Scoville, L.; Warner, K.; Koschmann, E. Mental health
of health care workers (HCWs): A review of organizational interventions put in place by local institutions to cope with new
psychosocial challenges resulting from COVID-19. Psychiatry Res. 2021,299, 113847. [CrossRef]
38.
Boden, M.; Zimmerman, L.; Azevedo, K.J.; Ruzek, J.I.; Gala, S.; Magid, H.S.A.; Cohen, N.; Walser, R.; Mahtani, N.D.; Hoggatt,
K.J.; et al. Addressing the mental health impact of COVID-19 through population health. Clin. Psychol. Rev.
2021
,85, 102006.
[CrossRef]
39.
Campion, J.; Javed, A.; Lund, C.; Sartorius, N.; Saxena, S.; Marmot, M.; Allan, J.; Udomratn, P. Public mental health: Required
actions to address implementation failure in the context of COVID-19. Lancet Psychiatry 2022,9, 169–182. [CrossRef]
40.
Kola, L.; Kohrt, B.A.; Hanlon, C.; Naslund, J.A.; Sikander, S.; Balaji, M.; Benjet, C.; Cheung, E.Y.L.; Eaton, J.; Gonsalves, P.; et al.
COVID-19 mental health impact and responses in low-income and middle-income countries: Reimagining global mental health.
Lancet Psychiatry 2021,8, 535–550. [CrossRef]
41.
Jordan, T.R.; Khubchandani, J.; Wiblishauser, M. The impact of perceived stress and coping adequacy on the health of nurses: A
pilot investigation. Nurs. Res. Pract. 2016,2016, 5843256. [CrossRef]
42.
Price, J.H.; Khubchandani, J.; Price, J.A.; Whaley, C.; Bowman, S. Reducing premature mortality in the mentally ill through health
promotion programs. Health Promot. Pract. 2016,17, 617–622. [CrossRef]
Brain Sci. 2022,12, 1123 12 of 12
43.
Kandiah, J.; Khubchandani, J.; Saiki, D. COVID-19 and Americans’ perceptions of change in diet quality. J. Fam. Consum. Sci.
2021,113, 17–24. [CrossRef]
44.
Castillo, E.G.; Ijadi-Maghsoodi, R.; Shadravan, S.; Moore, E.; Mensah, M.O.; Docherty, M.; Nunez, M.G.A.; Barcelo, N.; Goodsmith,
N.; Halpin, L.E.; et al. Community interventions to promote mental health and social equity. Curr. Psychiatry Rep.
2019
,21, 35.
[CrossRef] [PubMed]
45.
Barry, M.M.; Clarke, A.M.; Petersen, I.; Jenkins, R. (Eds.) Implementing Mental Health Promotion; Springer Nature: Cham,
Switzerland, 2019. [CrossRef]
46.
Holmes, E.A.; O’Connor, R.C.; Perry, V.H.; Tracey, I.; Wessely, S.; Arseneault, L.; Ballard, C.; Christensen, H.; Silver, R.C.; Everall,
I.; et al. Multidisciplinary research priorities for the COVID-19 pandemic: A call for action for mental health science. Lancet
Psychiatry 2020,7, 547–560. [CrossRef]
47.
O’Connor, D.B.; Aggleton, J.P.; Chakrabarti, B.; Cooper, C.L.; Creswell, C.; Dunsmuir, S.; Fiske, S.T.; Gathercole, S.; Gough, B.;
Ireland, J.L.; et al. Research priorities for the COVID-19 pandemic and beyond: A call to action for psychological science. Br. J.
Psychol. 2020,111, 603–629. [CrossRef] [PubMed]
48.
Taylor, S.; Landry, C.A.; Rachor, G.S.; Paluszek, M.M.; Asmundson, G.J. Fear and avoidance of healthcare workers: An important,
under-recognized form of stigmatization during the COVID-19 pandemic. J. Anxiety Disord.
2020
,75, 102289. [CrossRef]
[PubMed]
... The study by highlights that 20.7% of nurses worldwide refused to be vaccinated against COVID-19. This refusal among nurses could be attributed to various factors such as concerns about vaccine safety, side effects, fear of contracting COVID-19 despite vaccination, and doubts about vaccine efficacy [59]. Additionally, the study by Gu et al. (2022) indicates that healthcare workers, including nurses, exhibit vaccine hesitancy, with 23% of correctional healthcare workers and 17% of general healthcare workers refusing to be vaccinated against COVID-19. ...
Article
Full-text available
Background This study aimed to assess COVID-19 vaccine confidence among healthcare personnel in the safety net sector of the United States and Puerto Rico. This study aimed to examine the extent to which increased knowledge and positive attitudes toward COVID-19 vaccine safety and efficacy were associated with healthcare workers’ COVID-19 vaccination status and their recommendation of the vaccine to all patients. Methods Online survey data were collected from health care workers working in Free and Charitable Clinics across the United States and Federally Qualified Health Centers in Puerto Rico. The survey consisted of 62 questions covering various demographic measures and constructs related to healthcare workers’ vaccination status, beliefs, and recommendations for COVID-19 vaccination. Statistical analyses, including multivariate analysis, were conducted to identify the factors associated with the COVID-19 vaccine status and recommendations among healthcare personnel. Results Among the 2273 respondents, 93% reported being vaccinated against COVID-19. The analysis revealed that respondents who believed that COVID-19 vaccines were efficacious and safe were three times more likely to be vaccinated and twice as likely to recommend them to all their patients. Respondents who believed they had received adequate information about COVID-19 vaccination were 10 times more likely to be vaccinated and four times more likely to recommend it to all their patients. Conclusions The study results indicate that healthcare workers’ confidence in COVID-19 vaccines is closely tied to their level of knowledge, positive beliefs, and attitudes about vaccine safety and efficacy. The study emphasizes the significance of healthcare workers feeling well informed and confident in their knowledge to recommend the vaccine to their patients. These findings have important implications for the development of strategies to boost COVID-19 vaccine confidence among healthcare workers and increase vaccine uptake among patients.
... Interestingly, similar symptoms were reported by noninfected compared to infected participants, except for fatigue, which was less prevalent (5.6% versus 7.2%). This can be explained by the psychological impact of the pandemic, such as increased awareness about COVID-19 symptoms and by other health conditions, not related to SARS-CoV-2 infection [28,29]. These findings highlight the phenomenon of presence of COVID-19-related symptoms among individuals, irrespective of their infection status, emphasising the importance of addressing and managing these symptoms in both groups. ...
Article
Full-text available
Background During the COVID-19 pandemic swift implementation of research cohorts was key. While many studies focused exclusively on infected individuals, population based cohorts are essential for the follow-up of SARS-CoV-2 impact on public health. Here we present the CON-VINCE cohort, estimate the point and period prevalence of the SARS-CoV-2 infection, reflect on the spread within the Luxembourgish population, examine immune responses to SARS-CoV-2 infection and vaccination, and ascertain the impact of the pandemic on population psychological wellbeing at a nationwide level. Methods A representative sample of the adult Luxembourgish population was enrolled. The cohort was followed-up for twelve months. SARS-CoV-2 RT-qPCR and serology were conducted at each sampling visit. The surveys included detailed epidemiological, clinical, socio-economic, and psychological data. Results One thousand eight hundred sixty-five individuals were followed over seven visits (April 2020—June 2021) with the final weighted period prevalence of SARS-CoV-2 infection of 15%. The participants had similar risks of being infected regardless of their gender, age, employment status and education level. Vaccination increased the chances of IgG-S positivity in infected individuals. Depression, anxiety, loneliness and stress levels increased at a point of study when there were strict containment measures, returning to baseline afterwards. Conclusion The data collected in CON-VINCE study allowed obtaining insights into the infection spread in Luxembourg, immunity build-up and the impact of the pandemic on psychological wellbeing of the population. Moreover, the study holds great translational potential, as samples stored at the biobank, together with self-reported questionnaire information, can be exploited in further research. Trial registration Trial registration number: NCT04379297, 10 April 2020.
... While the COVID-19 pandemic had exceptionally high rates of mortality and morbidity in the U.S., some newer and intelligent technologies saw a rapid increase in use across the U.S. to help with disease diagnosis, prevention, surveillance and prediction; data collection and reporting; workforce development; healthcare facility functioning; supply change management; medication allocation; vaccination and drug development; and patient monitoring and care [39,40]. Some studies also suggest that the U.S. was a frontrunner in research and development, funding, and innovation related to healthcare technologies that could have helped during the COVID-19 pandemic. ...
Article
Full-text available
The rapid growth of healthcare technology, information systems, and their adjuncts indicates a need for well-considered policies, greater research, actions, and active involvement of stakeholders at all levels in modern-day healthcare systems. Health-related technology is created, maintained, and integrated into medical infrastructure by humans, for humans, and throughout human systems, making health technology a critical social determinant of population and individual health. Healthcare technology in health systems and infrastructure is omnipresent, has expanded and been used a lot during the COVID-19 pandemic, and continues to evolve and develop along with influencing people and population health in numerous ways. In this editorial, we discuss research and action priorities for the U.S. healthcare system as it relates to existing and emerging technologies, a futuristic digital healthcare ecosystem, and considerations of equity and inclusion in healthcare technology solutions, practices, and policies.
... In a similar study conducted by Khubchandani, Sharma,Web, Wiblishauser, Sharma [11] in 2021 (N=2797) to assess the psychological impact of covid-19 infection among family and friends in united states. out of 2797 participants 50% belonged to age group (26-35) years, 60% were males and 40% were females, 48%% were graduate. ...
Research
Full-text available
A Comparative Study to Assess the Post Traumatic Stress Disorder Symptoms among the Caretakers of Covid-19 Patients and Caretakers of Non-Covid-19 Patients in a Tertiary Care Hospital
... 2,3 The pandemic altered people's daily lives in a myriad of ways, including their employment, income, socialization, and family dynamic, which in turn impacted their physical, emotional, and mental health. [4][5][6][7][8][9][10][11][12] Exposure to the virus, and the degree to which individuals were able to cope with and follow stay-at-home orders, varied. 6,[13][14][15] The effects of the COVID-19 pandemic, state-level, and local community response, The COVID-19 Survey was developed to collect data on COVID-19 exposures and symptoms, healthcare access, employment, caregiving, and daily behaviors. ...
Preprint
Full-text available
Background: National and large city mortality and morbidity data emerged during the early years of the COVID-19 pandemic, yet statewide data to assess the impact COVID-19 had across urban and rural landscapes on subpopulations was lacking. The SHOW COVID-19 cohort was established to provide descriptive and longitudinal data to examine the influence the social determinants of health had on COVID-19 related outcomes. Methods: Participants were recruited from the 5,742 adults in the Survey of the Health of Wisconsin (SHOW) cohort who were all residents of Wisconsin, United States when they joined the cohort between 2008-2019. Online surveys were administered at three timepoints during 2020-2021. Survey topics included COVID-19 exposure, testing and vaccination, COVID-19 impact on economic wellbeing, healthcare access, mental and emotional health, caregiving, diet, lifestyle behaviors, social cohesion, and resilience. Results: A total of 2,304 adults completed at least one COVID-19 online survey, with n=1,090 completing all three survey timepoints. Non-Whites were 2-3 times more likely to report having had COVID-19 compared to Whites, females were more likely than males to experience disruptions in their employment, and those with children in the home were more likely to report moderate to high levels of stress compared to adults without children. Conclusion: Longitudinal, statewide cohorts are important for investigating how the social determinants of health affect health and well-being during the first years of a pandemic and offer insight into future pandemic preparation. The data are available for researchers and cohort is active for continued and future follow-up.
... At the same time, students in this school lived in the "medium risk area for the risk of COVID-19 pandemic" at the end of July 2021 (Finance Department of Henan Province, 2021, p. 2), indicating that higher numbers of confirmed cases of COVID-19 had emerged and forced residents to quarantine at home for 14 days (Zhengzhou Municipal People's Government, 2021). The inclusion criteria were as follows: (1) participants' parents and teachers were healthy and had no history of infectious disease or COVID-19 (Khubchandani et al., 2022); (2) none of the participants' family members were injured or had died during the floods (Johannesson et al., 2009); and (3) participants were not in a state of current major depressive or anxiety episodes (Campos et al., 2022). All participants met the inclusion criteria. ...
Article
Full-text available
The coronavirus disease 2019 (COVID-19) pandemic has increased the risk of psychological distress among adolescents. Moreover, adolescents in 70 countries have suffered simultaneously from the COVID-19 pandemic and flood disasters. Research on the protective role of mindfulness on psychological distress is warranted; moreover, the practical needs arising from disasters require a deeper understanding of the potentially complex interplay between mindfulness and psychological distress. Using social–ecological systems theory, this study examined the moderating effects of self-harm and negotiable fate on the relationship between mindfulness and psychological distress in adolescents suffering from concurrent dual disasters (COVID-19 and flood disasters). High school adolescents ( N = 1679; 49.3% adolescent boys) in Zhengzhou, China, completed the Child and Adolescent Mindfulness Measure, Suicide Thoughts and Behaviors Checklist, Negotiable Fate Questionnaire, and Depression Anxiety Stress Scales-21. A three-way interaction model was developed. The results indicate that mindfulness has a significant negative relationship with psychological distress during disasters. Moreover, self-harm and negotiable fate significantly moderated the negative associations between mindfulness and psychological distress in adolescents enduring concurrent dual disasters (three-way interaction effects model). These findings highlight the significance of the interactions between different ecological system factors in the negative associations between mindfulness and psychological distress amid disasters.
Article
Full-text available
There exist a plethora of studies examining the psychological and physical impacts of COVID-19 on infected victims. Fewer studies have been published assessing the different types of impacts that an individual’s COVID-19 infection has on close friends and family members. This is the first scoping review to gauge the reported psychosocial issues and daily hassles that impact the relatives and friends of infected individuals. This study was conducted by inputting key terms/MeSH terms into selected internet databases to locate prospective studies. The frameworks of scoping reviews by Arksey et al. and the preferred reporting items for systematic review and meta-analyses (PRISMA) were utilized in the methodology for identifying and selecting the studies. After data extraction, 37 studies were deemed suitable for analysis. The findings generated from each study were placed into combined categories. A total of 16 combined categories were generated from the amalgamation of the findings. The results show that psychosocial feelings (e.g., anxiety, stress, and depression) were the category with the highest prevalence of grouped findings. The results from this study may serve as the impetus for future interventions targeting the alleviation of psychosocial feelings or day-to-day hassles associated with having a loved one inflicted with a severe illness.
Preprint
Full-text available
There exists a plethora of studies examining the psychological and physical impacts of COVID-19 on infected victims. Fewer studies have been published assessing the different types of impacts that an individual’s COVID-19 infection has on close friends and family members. This is the first scoping review to gauge the reported psychosocial issues and daily hassles that impact the relatives and friends of infected individuals. This study was conducted by inputting key terms/MeSH terms into selected internet databases to locate prospective studies. The frameworks of scoping reviews by Arksey et al. and the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA) were utilized in the methodology for identifying and selecting the studies. After data extraction, 37 studies were deemed suitable for analysis. The findings generated from each study was placed into combined categories. A total of 16 combined categories were generated from the amalgamation of the findings. The results show that psychosocial feelings (e.g., anxiety, stress, depression) was the category with the highest prevalence of grouped findings. The results from this study may serve as the impetus for future interventions targeting the alleviation of psychosocial feelings or day to day hassles associated with having a loved one inflicted with a severe illness.
Article
Full-text available
The COVID-19 restrictions have impacted people’s lifestyles in all spheres (social, psychological, political, economic, and others). This study explored which factors affected the level of anxiety during the time of the first wave of COVID-19 and subsequent quarantine in a substantial proportion of 23 countries, included in this study. The data was collected from May to August 2020 (5 June 2020). The sample included 15,375 participants from 23 countries: (seven from Europe: Belarus, Bulgaria, Croatia, Hungary, Italy, Romania, Russia; 11 from West, South and Southeast Asia: Armenia, India, Indonesia, Iran, Iraq, Jordan, Malaysia, Pakistan, Saudi Arabia, Thailand, Turkey; two African: Nigeria and Tanzania; and three from North, South, and Central America: Brazil, Canada, United States). Level of anxiety was measured by means of the 7-item Generalized Anxiety Disorder Scale (GAD-7) and the 20-item first part of The State-Trait Anxiety Inventory (STAI)—State Anxiety Inventory (SAI). Respondents were also asked about their personal experiences with COVID-19, attitudes toward measures introduced by governments, changes in attitudes toward migrants during a pandemic, family income, isolation conditions, etc. The factor analysis revealed that four factors explained 45.08% of variance in increase of anxiety, and these components were interpreted as follows: (1) personal awareness of the threat of COVID-19, (2) personal reaction toward officially undertaken measures and attitudes to foreigners, (3) personal trust in official sources, (4) personal experience with COVID-19. Three out of four factors demonstrated strong associations with both scales of anxiety: high level of anxiety was significantly correlated with high level of personal awareness of the threat of COVID-19, low level of personal reaction toward officially undertaken measures and attitudes to foreigners, and high level of presence of personal experience with COVID-19. Our study revealed significant main effects of sex, country, and all four factors on the level of anxiety. It was demonstrated that countries with higher levels of anxiety assessed the real danger of a pandemic as higher, and had more personal experience with COVID-19. Respondents who trusted the government demonstrated lower levels of anxiety. Finally, foreigners were perceived as the cause of epidemic spread.
Article
Full-text available
As a global threat, the COVID-19 pandemic has been an important factor in increasing death rate worldwide. As the virus spreads across international borders, it causes severe illness, death, and disruptions in our daily lives. Death and dying rituals and customs aid bereaved people in overcoming their grief. In this sense, the purpose of this study was to access thoughts and feelings of Portuguese adults and the impact of the loss in daily life during COVID-19. A structured online questionnaire was applied (snowball sampling) and qualitative data on death and mourning namely the impact of the loss in daily life, was collected. One hundred and sixty-six individuals have lost someone since the beginning of the pandemic and were included. Analysis was inspired by Braun and Clark’s content analysis. Most participants were female (66.9%), the median age was of 37.3 years, and 70.5% had a high education degree. Moreover, 30.7% of the participants present anxiety symptoms and 10.2% depression symptoms. The answers of studied participants gave insights on the extent of the loss in day-to-day life and four thematic themes were found: (1) The perceived inadequacy of the funeral rituality, (2) Sadness, fear and loneliness, (3) Changes in sleeping and concentration and increased levels of anxiety and (4) Concerns regarding the pandemic situation. We found a high prevalence of anxiety and depression symptoms in the study sample. Also, the changes in post mortem procedures, have shown to be of great importance in the mourning procedure of the participants.
Article
Full-text available
Background Experiences of end-of-life care and early bereavement during the COVID-19 pandemic are poorly understood. Aim To identify clinical and demographic risk factors for sub-optimal end-of-life care and pandemic-related challenges prior to death and in early bereavement, to inform clinical practice, policy and bereavement support. Design Online national survey of adults bereaved in the UK (deaths between 16 March 2020 and 2 January 2021), recruited via media, social media, national associations and organisations. Setting/participants 711 participants, mean age 49.5 (SD 12.9, range 18–90). 628 (88.6%) were female. Mean age of the deceased was 72.2 (SD 16.1, range miscarriage to 102 years). 311 (43.8%) deaths were from confirmed/suspected COVID-19. Results Deaths in hospital/care home increased the likelihood of poorer experiences at the end of life; for example, being unable to visit or say goodbye as wanted ( p < 0.001). COVID-19 was also associated with worse experiences before and after death; for example, feeling unsupported by healthcare professionals ( p < 0.001), social isolation/loneliness (OR = 0.439; 95% CI: 0.261–0.739), and limited contact with relatives/friends (OR = 0.465; 95% CI: 0.254–0.852). Expected deaths were associated with a higher likelihood of positive end-of-life care experiences. The deceased being a partner or child also increased the likelihood of positive experiences, however being a bereaved partner strongly increased odds of social isolation/loneliness, for example, OR = 0.092 (95% CI: 0.028–0.297) partner versus distant family member. Conclusions Four clear risk factors were found for poorer end-of-life care and pandemic-related challenges in bereavement: place, cause and expectedness of death, and relationship to the deceased.
Article
Full-text available
A total of 3,633 participants responded to the questionnaire and were predominantly White (61%), males (61%), married (63%), working full time (79%), urban dwellers (57%), and with a bachelor's degree or higher (65%) (Table 1). Almost a quarter of the participants reported a history of COVID-19 infection (23%) and more than a third had symptoms of depression (47%), anxiety (40%), or both depression and anxiety (38%). Those who had symptoms of depression were statistically significantly more likely to be Hispanics (58%), White (52%), aged 18–25 years (50%), married (50%) or divorced/separated (46%), living in rural areas (56%), earning $30,001-$60,000 annually (53%), and had a history of COVID-19 infection (64%). Symptoms of anxiety were significantly more likely to be reported by Whites (46%), Hispanics (45%), aged 18–25 years (43%), married (42%), living in rural areas (49%), earning $30,001-$60,000 per year (45%), and those had a history of COVID-19 infection (63%). Similarly, psychological distress (i.e., symptoms of both depression and anxiety) were more likely to be reported by Whites, Hispanics, younger (18–25-year-old), married, earning $30,001-$60,000 per year, living in rural areas, or those with a history of COVID-19 infection (60%) (Table 1). Logistic regression analyses were conducted to assess the probability of depression and anxiety symptoms in those with a history of COVID-19 infections (those without a history of COVID-19 infection were treated as the reference category) (Table 2). In unadjusted analyses, COVID-19 infection survivors were significantly more likely to have moderate or severe psychological distress (OR= 3.16; 95%Ci=2.70–3.71) and more specifically, symptoms of either depression (OR=2.31; 95% Ci=1.97–2.72) or anxiety (OR=3.49, 95% Ci=2.97–4.10). In the final regression model, we adjusted for eight sociodemographic characteristics (from Table 1) and found that those who had survived a COVID-19 infection were about two and a half times (AOR=2.58) more likely to have moderate to severe psychological distress, almost three times more likely to report anxiety symptoms (AOR=2.93), and almost twice as likely to report symptoms of depression (AOR=1.83), compared to those who did not have a COVID-19 infection.
Article
Full-text available
Background The COVID-19 pandemic has affected the lives of people in many ways. However, little is known about weight gain in American adults during the pandemic. Aims and methods The purpose of this study was to conduct a national assessment of weight gain in adult Americans after the first year of the pandemic. An online questionnaire was employed to explore perceptions of adults regarding pandemic weight gain and the relationship between weight gain and sociodemographic characteristics, pre-pandemic weight status, and psychological distress. Multiple methods were used to assess the psychometric properties of the questionnaire (i.e., face validity, content validity, and internal consistency reliability testing). Chi-Square tests and logistic regression analysis were used to assess group differences and predictors of weight gain in the study participants. Results A total of 3473 individuals participated in the study with weight changes distributed as: gained weight (48%), remained the same weight (34%), or lost weight (18%). Those who reported being very overweight before the pandemic were most likely to gain weight (65%) versus those who reported being slightly overweight (58%) or normal weight before the pandemic (40%). Weight gain was statistically significantly higher in those with anxiety (53%), depression (52%), or symptoms of both (52%). The final multiple regression model found that the statistically significant predictors of pandemic weight gain were psychological distress, pre-pandemic weight status, having children at home; and time since last bodyweight check. Conclusions Population health promotion strategies in the pandemic should emphasize stress reduction to help individuals manage body weight and avoid chronic diseases in the future.
Article
Full-text available
This study aimed to examine research findings related to depression, anxiety, stress, and insomnia during the COVID-19 pandemic. This study also explored periodic changes in the prevalence of depression, anxiety, stress, and insomnia among the general people during this pandemic. We performed a meta-analysis by searching articles from several sources (PubMed, MEDLINE, and Google Scholar). We used the random-efects models, subgroup analysis, and heterogeneity test approaches. Results show that the prevalence of depression, stress, and insomnia increased during March to April 2020 (30.51%, 29.4%, and 25%, respectively) compared to the study period before February 2020 (25.25%, 16.27%, and 22.63%, respectively) and followed in May to June 2020 (16.47%, 5.1%, and 19.86, respectively). The prevalence of depression and anxiety from k=30 studies was 28.18% (95% CI: 23.81– 32.54) and 29.57% (95% CI: 24.67–34.47), respectively. And the prevalence of stress (k=13) was 25.18% (95% CI: 14.82–35.54), and the prevalence of insomnia (k=12) was 23.50% (95% CI: 16.44–30.57). These prevalence estimates during the pandemic are very high compared to normal times. Hence, the governments and policymakers should apply proven strategies and interventions to avoid psychological adversity and improve overall mental health during the COVID-19 pandemic.
Article
Full-text available
Background and aim In the literature, there is no study on the anxiety and depression status of the relatives of intensive care COVID-19 and non-COVID-19 patients during the pandemic period. In this study, we aimed to compare the risk of developing anxiety and depression in the relatives of COVID-19 and non-COVID-19 intensive care patients during the pandemic, and also to determine the factors that may cause anxiety and depression. Materials and methods Relatives of patients admitted to Ankara City Hospital COVID-19 (n=45) and non-COVID-19 (n=45) intensive care units between 15 May and 31 July 2021 were included in this prospective study. The Hospital Anxiety and Depression Scale (HADS) questionnaire was administered to the relatives of the patients within the first 48 hours of their admission to the intensive care unit. The answers were recorded and HADS, HADS-A (anxiety) and HADS-D (depression) scores were calculated accordingly. Demographics, education and marital statuses of both the patients and their relatives were recorded. Logistic regression analysis was performed to determine the factors associated with depression and anxiety. Receiver operator characteristics (ROC) curves were drawn for the factors affecting depression and anxiety, and the area under the curve values were calculated. Results Demographics, APACHE II score, and patient affiliation were similar in both groups. The mean HADS scores of the relatives of COVID-19 and non-COVID-19 patients were 24.76 and 16.04 (p<0.001). The mean HADS-A scores were 12.89 and 7.78 (p<0.001), and the mean of HADS-D scores were 11.87 and 8.27 (p=0.001). Moderate and high-risk anxiety and depression were significantly higher in relatives of COVID-19 patients (p=0.018, p=0.001, respectively). The area under curve (AUC) values were 0.727 in the ROC curve plotted for the independent risk factor Q3 responses that reduced anxiety, and 0.791 and 0.785 in the ROC curve drawn for the independent risk factor Q1 and Q3 responses that reduced the development of depression. Conclusion We found that the anxiety and depression risk of the relatives of COVID-19 patients in the intensive care unit during the pandemic period is significantly higher than the relatives of non-COVID-19 patients in the intensive care unit. In addition, regardless of the diagnosis, younger intensive care patients may increase the anxiety and depression of the relatives of the patients during the pandemic. The higher-education level of the relatives of patients was determined as a factor reducing anxiety and depression.
Article
This study examined the relationship between having an opportunity to say goodbye to a dying family member or friend in personal or virtually, as well as attending their funeral services in person or virtually, and the bereaved individuals' psychological distress and complicated grief during the COVID-19 pandemic. Five hundred and nineteen US adults who had lost a family member or a friend between January 2020 and June 2021 completed an online survey for this study. Only a small proportion of participants were able to say goodbye to their dying family member or friend in person, and saying goodbye virtually was associated with higher levels of complicated grief and psychological distress. Those who physically attended a formal, in-person funeral or memorial service reported lower levels of psychological distress. The findings suggest a complicated process of saying goodbye in different formats during the pandemic.
Article
Mental disorders account for at least 18% of global disease burden, and the associated annual global costs are projected to be US$6 trillion by 2030. Evidence-based, cost-effective public mental health (PMH) interventions exist to prevent mental disorders from arising, prevent associated impacts of mental disorders (including through treatment), and promote mental wellbeing and resilience. However, only a small proportion of people with mental disorders receive minimally adequate treatment. Compared with treatment, there is even less coverage of interventions to prevent the associated impacts of mental disorders, prevent mental disorders from arising, or promote mental wellbeing and resilience. This implementation failure breaches the right to health, has increased during the COVID-19 pandemic, and results in preventable suffering, broad impacts, and associated economic costs. In this Health Policy paper, we outline specific actions to improve the coverage of PMH interventions, including PMH needs assessments, collaborative advocacy and leadership, PMH practice to inform policy and implementation, training and improvement of population literacy, settings-based and integrated approaches, use of digital technology, maximising existing resources, focus on high-return interventions, human rights approaches, legislation, and implementation research. Increased interest in PMH in populations and governments since the onset of the COVID-19 pandemic supports these actions. Improved implementation of PMH interventions can result in broad health, social, and economic impacts, even in the short-term, which support the achievement of a range of policy objectives, sustainable economic development, and recovery.
Article
Hospitalization due to COVID-19 bears many psychological challenges. While focusing on infected patients, their relatives are being largely neglected. Here, we investigated the mental health implications of hospitalization among relatives over a one-month course. A single center study was conducted to assess relatives of COVID-19 patients during the first month from their admission to the hospital and elucidate risk and protective factors for mental health deterioration. Ninety-one relatives of the first patients to be hospitalized in Israel were contacted by phone and screened for anxiety, depression, and posttraumatic stress symptoms (PTSS) at three time points (25-72 hours, 7-18 days, and one month). We found that anxiety and depression decreased significantly during the first month from their admission. Risk factors for deteriorated mental health at one month included feelings of mental exhaustion, financial concerns, and social disconnection. Being ultra-orthodox was a protective factor for anxiety and depression but not PTSS. Our findings emphasize the importance of addressing the mental health status of close relatives and adjust support for the unique setting of COVID-19.