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Total number of cases (including Total active cases, total death, total cases per day) for Malaysia.
Source publication
After a breakdown notified in Wuhan, China in December 2019, COVID-19 is declared as pandemic diseases. To the date more than 13 million confirmed cases and more than half a million are dead around the world. This virus also attached Malaysia in its immature stage where 8718 cases were confirmed and 122 were declared as death. Malaysia responsibly...
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Citations
... Using Routh-Hurwitz criteria Altahir [14], we proposed the following theorem: ...
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Purpose
The novel coronavirus (COVID-19) has almost affected more than two million people and has taken more than one hundred thousand lives around the globe. At this current state, researchers are trying their best level to drive the permanent solution for this menace; hence, till now social distancing and hygienic lifestyle are the only solutions. This paper proposes a smart entrance disinfectant gate based on the sanitizer spray station and ultraviolet irradiation mechanisms. This innovative and embedded system design-oriented gate will first capture the image of the entrant, second, measure the temperature, third, spray the sanitizers and, last, provide the ultraviolet irradiation to make sure that the person entering any space may have fewer chances to carry coronavirus. The purpose of this study is to enable the IoT feature that helps the government officials to keep the data record of suspectable, exposed, infected and recovered people which will later help to reduce the reproductive co-efficient Ro of COVID-19 within any state of Malaysia.
Design/methodology/approach
In the current manuscript, design proposes a smart entrance disinfectant gate based on the sanitizer spray station and ultraviolet irradiation mechanisms. This design of the gate is enabled with the feature of the internet of things (IoT) and some efficient sensors along with computer vision facilities.
Findings
This paper bridges an academic research on COVID-19 and addresses IoT and data prediction-based solution to compute the reproductive number for this novel coronavirus.
Originality/value
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The human life-threatening novel Severe Acute Respiratory Syndrome Corona-virus-2 (SARS-CoV-2) has lasted for over a year escalating and posing simultaneous anxiety day-by-day globally since its first report in the late December 2019. The scientific arena has been kept animated via continuous investigations in an effort to understand the spread dynamics and the impact of various mitigation measures to keep this pandemic diminished. Despite a lot of research works having been accomplished this far, the pandemic is still deep-rooted in many regions worldwide signaling for more scientific investigations. This study joins the field by developing a modified SEIR (Susceptible-Exposed-Infectious-Removed) compartmental deterministic model whose key distinct feature is the incorporation of the COVID Alert SA app use by the general public in prolific intention to control the spread of the epidemic. Validation of the model is performed by fitting the model to the Republic of South Africa's COVID-19 cases reported data using the Maximum Likelihood Estimation algorithm implemented in fitR package. The model's sensitivity analysis and simulations stipulate that gradual to complete use of the app would be perfect in contact tracing and substantially reduce the plateau number of COVID-19 infections. This would consequentially contribute remarkably to the eradication of the SARS-CoV-2 over time. Proportional amalgamation of the app use and test for COVID-19 on individuals not using the app would also reduce the peak number of infections apart from the 50 − 50% ratio which spikes the plateau number beyond any other proportion. The study establishes that at least 30% implementation of the app use with gradual increase in tests conducted for individuals not using the app would suffice to stabilize the disease free equilibrium resulting to gradual eradication of the pandemic.
The readiness and mental challenges of health care front-liners are one of the big issues that need to be addressed by the Ministry of Health Malaysia (MOH) and also the Malaysian Board of Counselors (MBC). This is to ensure that all threats to health care front-liners can be overcome in order to streamline the duties of fighting the COVID-19 pandemic in Malaysia. Therefore, this study aims to understand the readiness and mental challenges of health front workers (Font liners) in facing the COVID-19 pandemic. This study uses a qualitative design with a case study approach. The study participants consisted of two medical officers and two nurses from the states of Johor and Sabah who had more than six months of experience in handling COVID-19 cases. Study data were obtained through semi-structured interview techniques. The findings state that there are two sub-theme codes from the mental readiness of health care front liners and four subtrahend codes from the mental challenges of health care front liners in facing the COVID-19 pandemic. Information from this study can be used by the MOH and MBC in dealing with the possible mental health issues of the health care front liner, post-COVID-19 in Malaysia.
Background
COVID-19 has rapidly spread across the globe. Critical to the control of COVID-19 is the characterisation of its epidemiology. Despite this, there has been a paucity of evidence from many parts of the world, including Malaysia. We aim to describe the epidemiology of COVID-19 in Malaysia to inform prevention and control policies better.
Methods
Malaysian COVID-19 data was extracted from 16 March 2020 up to 31 May 2021. We estimated the following epidemiological indicators: 7-day incidence rates, 7-day mortality rates, case fatality rates, test positive ratios, testing rates and the time-varying reproduction number (Rt).
Findings
Between 16 March 2020 and 31 May 2021, Malaysia has reported 571,901 cases and 2,796 deaths. Malaysia's average 7-day incidence rate was 26•6 reported infections per 100,000 population (95% CI: 17•8, 38•1). The average test positive ratio and testing rate were 4•3% (95% CI: 1•6, 10•2) and 0•8 tests per 1,000 population (95% CI: <0•1, 3•7), respectively. The case fatality rates (CFR) was 0•6% (95% CI: <0•1, 3•7). Among the 2,796 cases who died, 87•3% were ≥ 50 years.
Interpretation
The public health response was successful in the suppression of COVID-19 transmission or the first half of 2020. However, a state election and outbreaks in institutionalised populations have been the catalyst for more significant community propagation. This rising community transmission has continued in 2021, leading to increased incidence and strained healthcare systems. Calibrating NPI based on epidemiological indicators remain critical for us to live with the virus. (243 words)
Funding
This study is part of the COVID-19 Epidemiological Analysis and Strategies (CEASe) Project with funding from the Ministry of Science, Technology and Innovation (UM.0000245/HGA.GV).
