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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

Kazi Mahmuda Akter, Tanjum Tushi, Sabrina Jahan Mily, Rashenda Aziz Mohona, Samin Anis, Adittya Kishor Chakraborty, Elmee Tabassum, Tahmid Ul Islam, Ozifatun Jannat Akhi, Israt Sultana Nishe, Badrun Nahar Laxy, Sanjida Sultana Zerin, Abdiqani Jama Roble, Md. Imran Hossain, Sharmin Ahmed, Salauddin Al Azad

Biotechnology Journal International · pp. 43–56 · Published 11 Dec 2020

10.9734/bji/2020/v24i630121

Abstract

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.

SARS-CoV-2 RT-PCR mediated identification Bangladesh multi-factorial analysis pre and post infection health conditions

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