Detection of 2019-Novel Coronavirus (2019-nCoV) by rRT-PCR at Mymensingh Medical College, Mymensingh, Bangladesh
Mymensingh Med J
The coronavirus disease (COVID-19) is highly pathogenic viral infection caused by SARS-CoV-2. Currently, COVID-19 has caused global health concern. WHO has declared COVID-19 as a pandemic disease on March 11, 2020 and characterized by fever, dry cough, fatigue, myalgia and chest pain with pneumonia in severe cases. The virus has spread to at least 213 countries and more than 9093827 confirmed cases and 471490 deaths have been recorded. In the beginning, the world public health authorities tried to eradicate the disease in China through quarantine but are now transitioning to prevention strategies worldwide to delay its spread. There are some newly developed and promising methods for detection of SARS-CoV-2, in order to facilitate the development of novel approaches for early diagnosis. Nucleic acid based tests currently offer the most sensitive and early detection and confirmation for SARS-CoV-2 infection. Among them Real-time reverse transcription polymerase chain reaction (rRT-PCR) is the most popular and the "gold standard" testing method for the detection of SARS-CoV-2. The present study was carried out to detect 2019-Novel Coronavirus (2019-nCoV) by rRT-PCR method at Mymensingh Medical College, Mymensingh, Bangladesh from 1st April, 2020 to 31st May, 2020. A total of 14356 samples were tested from four districts of Mymensingh division namely, Mymensingh, Jamalpur, Sherpur, Netrokona and some parts of Sunamganj for rRT-PCR. Among them 1086 (7.5%) patients were positive for SARS-CoV-2. Out of 1086 positive cases 716(65.9%) were male and 370(34.1%) were female with a Mean±SD age 34.1±12 years. Maximum positivity was found in Mymensingh district followed by Netrokona, Jamalpur, Sherpur and Sunamganj respectively. This is the first base line study for genetic detection of 2019-nCoV in Mymensingh division which may reflect the total scenario of Bangladesh situation. We hope this paper will help the researcher to increase the availability, accuracy, and speed of widespread COVID-19 testing throughout the world in this crisis moment.