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Clinical features of COVID-19 across different regions.

Clinical features of COVID-19 across different regions.

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The coronavirus disease 2019 (COVID-19) pandemic has triggered a worldwide unprecedented public health crisis. Initially, COVID-19 was considered a disease of the respiratory system, as fever and at least one respiratory symptom was used to identify a suspected COVID-19 case. But there are now numerous reports of COVID-19 patients presenting with m...

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... the variable expression of ACE2 in different populations suggests there would be differences in the clinical spectrum [84]. As such, although published studies are not homogenous, a noticeable difference in the clinical spectrum is clearly discernible across different regions and countries ( Table 2). For example, data suggest that clinical outcomes may be significantly different among different provinces of China. ...

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... Bangladesh has a history of becoming the hub for many transmissible diseases with its dense population (1,265 per square kilometer), where about 35.3% of its residents are below 14, about 60% are between 15 to 64 and just 4.7% are above 65 years of age 22 . It makes it more difficult to prevent or control, as SARS-CoV-2 has already thrived on several intermediates and final host before infecting Humans. ...
... Hence it dominates with higher transmissibility and infectivity. The infectivity, virulence, and severity of the outcome of SARS-CoV-2 may vary on factors such as age, sex, geographic locations, other chronic diseases, and so on 22,23 . Though SARS-CoV-2 varies no age, sex, or race; pregnant women, newborn, male (71%) individuals, and individuals over 20 years of age are prone to get infected by SARS-CoV-2 2,24,25 . ...
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Introduction: The pervasiveness of SARS-CoV-2 infection over millions of people renders a variety of symptoms among group of people and ages. This study aimed to appraise the clinical assessment, characterization, and comparative study on suspected SARS-CoV-2 infected patients and further illuminate its transmission dynamics. Methods: It includes all the suspected SARS-CoV-2 infected cases from July 2020 to March 2022 in this retrospective single center study. All the cases confirmed by the golden method of detection (real-time RT-PCR) and analyzed for clinical and demographic features and laboratory data. Result: Out of 35,630 cases, 11.4% cases confirmed with SARS-CoV-2 infection. With 91.4% new and 8.6% follow-up suspected cases in total, SARS-CoV-2 infection confirmed with 85.5% new cases and 14.5% from follow-up cases. 86.1% male suspected cases found where SARS-CoV-2 infection confirmed for 73.8% with this gender group. 56.7% SARS-CoV-2 infection confirmed for age range 20-39 and this age group counts 59.3% from the total suspected cases. Most confirmed cases (28.3%) counted from Uttara, Dhaka and this area covers 34.9% suspected cases from the total. Conclusion: This study exhibited that, SARS-CoV-2 is more prone to male individual, individuals aged between 20-39 and occurs re infection hardly but not limited to. Symptoms observed for almost half of the confirmed cases.