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

Sir Salimullah Medical College & Mitford Hospital, University of Dhaka, Dhaka, Bangladesh.

Tanjum Tushi

Department of Sociology, University of Dhaka, Dhaka, Bangladesh.

Sabrina Jahan Mily

Chittagong Medical College, University of Chittagong, Chattagram, Bangladesh.

Rashenda Aziz Mohona

Department of Public Health, North South University, Dhaka, Bangladesh.

Samin Anis

Chattagram Maa-O-Shishu Hospital Medical College, University of Chittagong, Chattagram, Bangladesh.

Adittya Kishor Chakraborty

Department of Physiotherapy, State College of Health Sciences, University of Dhaka, Dhaka, Bangladesh.

Elmee Tabassum

Department of Geography and Environment, University of Dhaka, Dhaka, Bangladesh.

Tahmid Ul Islam

Department of Sociology, University of Dhaka, Dhaka, Bangladesh.

Ozifatun Jannat Akhi

Department of Computer Science and Engineering, Pabna University of Science and Technology, Pabna, Bangladesh.

Israt Sultana Nishe

Department of Sociology, University of Dhaka, Dhaka, Bangladesh.

Badrun Nahar Laxy

Department of Economics, Eden Mohila Collage, University of Dhaka, Dhaka, Bangladesh.

Sanjida Sultana Zerin

Department of Sociology, University of Dhaka, Dhaka, Bangladesh.

Abdiqani Jama Roble

Department of Public Health, North South University, Dhaka, Bangladesh.

Md. Imran Hossain

Marks Dental College, University of Dhaka, Dhaka, Bangladesh.

Sharmin Ahmed

Department of Medicine, Jashore Medical College, Jashore, Bangladesh.

Salauddin Al Azad *

Fermentation Engineering Discipline, School of Biotechnology, Jiangnan University, Wuxi, Jiangsu, China

*Author to whom correspondence should be addressed.


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.

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


How to Cite

Akter, K. M., Tushi, T., Jahan Mily, S., Mohona, R. A., Anis, S., Chakraborty, A. K., Tabassum, E., Islam, T. U., Akhi, O. J., Nishe, I. S., Laxy, B. N., Zerin, S. S., Roble, A. J., Hossain, M. I., Ahmed, S., & Azad, S. A. (2020). 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. Biotechnology Journal International, 24(6), 43–56. https://doi.org/10.9734/bji/2020/v24i630121

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