RT-PCR Mediated Identification of SARS-CoV-2 Patients from Particular Regions of Bangladesh and the Multi-factorial Analysis Considering Their Pre and Post Infection Health Conditions

Background: SARS-CoV-2 is a type of coronavirus shows bizarre features with fatality rates at 34.4%. The clinical and non-clinical features of COVID-19 might be causative factors for more rapid community spreading compared to MERS and SARS-CoV-1.

Objectives: To study the efficacy of RT-PCR based detection of SARS-CoV-2 patients. Besides, the patients' pre and post-infection health conditions depending on selective clinical and nonclinical parameters were analyzed.

Materials and Methods: Clinical and non- clinical data were collected from 205 randomly selected COVID-19 patients, identified through RT-PCR from different areas of Bangladesh. The data were analyzed using statistical and analytical tools to illustrate the impact of the pandemic situation on the sufferers.

Results: Molecular identification of the patients through RT-PCR has been observed as the most efficient option for detecting SARS-CoV-2 patients. Patients with the smoking habit have been reported to be more prone to the COVID-19 infection; surprisingly the non-smoker female was the worse suffers. The patients aged 60-69 years were the worst sufferers with every adverse health conditions mentioned. Professionally, 28% self-employed male and 8.19% female were infected. The most infected individuals were house wife (32.029%), as next to the health care workers (22.1%). With the increased age group, a decreased number of smokers were found. Nebulization of 5% home and 12% hospital treated patients were provided, with Oxygen for 26% of hospitalized patients. After recovery, combined physical and psychological complications were observed in 19% of male and 11% female. The socioeconomic, environmental and geographical annotations exposed a clear relationship with the rate of infection as revealed from the nonclinical data analysis.

Conclusion: RT-PCR proved its specialty in COVID-19 detection. In addition, impacts of different clinical and nonclinical factors on the physical conditions of the nCoV patients were found significant in the research.