Qualitative prevalence assessment of SARS-CoV2 infection by comparing first, second and third wave data: A sentinel surveillance testing centre study

Abstract

Corona virus disease 2019 (COVID-19) is an infectious disease caused by the severe acute respiratory syndrome–related corona virus 2 (SARS-CoV-2). Most of the infected people experience with mild to moderate respiratory illness and recovering without any special treatment. Present study is intended to identify the number of people infected with COVID-19 at the time of 1st wave (Aug 2020 to Mar 2021), 2nd wave (Apr 2020 to Nov 2021) and 3rd wave (Dec 2021 to Mar 2022) of pandemic situations, also classify the risk category of subjects and future expectations. Total of 67,165 subjects nasopharyngeal swab samples collected from Government General Hospital, Siddipet and Primary Healthcare Centres of all over the Siddipet district, Telangana, India. Out off 67,165 samples during 1st wave 3550 (23.81%) subjects got COVID-19 infection, in that 2341 (15.70%) were males and 1209 (8.11%) were females. During 2nd wave 5697 (16.93%) subjects infected with COVID-19, in that 3566 (10.60%) were males and 2131 (6.33%) were females and during 3rd wave 3064 (16.46%) subjects infected with COVID-19, in that 1968 (10.57%) were males and 1096 (5.89%) were females. In all three time points males were predominantly infected with SARS-CoV2 compare to females. And also 21-40 age group subjects were highly infected at all three time points 1st wave (11.15%), 2nd wave (9.54%) and 3rd wave (8.63%).