SARS-CoV-2 seroprevalence in the city of Hyderabad, India in early 2021
- PMID: 35721436
- PMCID: PMC8603330
- DOI: 10.1016/j.ijregi.2021.10.009
SARS-CoV-2 seroprevalence in the city of Hyderabad, India in early 2021
Abstract
Background: COVID-19 emerged as a global pandemic in 2020, spreading rapidly to most parts of the world. The proportion of infected individuals in a population can be reliably estimated via serosurveillance, making it a valuable tool for planning control measures. Our serosurvey study aimed to investigate SARS-CoV-2 seroprevalence in the urban population of Hyderabad at the end of the first wave of infections.
Methods: This cross-sectional survey, conducted in January 2021 and including males and females aged 10 years and above, used multi-stage random sampling. 9363 samples were collected from 30 wards distributed over six zones of Hyderabad, and tested for antibodies against SARS-CoV-2 nucleocapsid antigen.
Results: Overall seropositivity was 54.2%, ranging from 50% to 60% in most wards. Highest exposure appeared to be among those aged 30-39 and 50-59 years, with women showing greater seropositivity. Seropositivity increased with family size, with only marginal differences among people with varying levels of education. Seroprevalence was significantly lower among smokers. Only 11% of the survey subjects reported any COVID-19 symptoms, while 17% had appeared for COVID-19 testing.
Conclusion: Over half the city's population was infected within a year of onset of the pandemic. However, ∼ 46% of people remained susceptible, contributing to subsequent waves of infection.
Keywords: ACE2, angiotensin-converting enzyme 2; CCMB, Centre for Cellular and Molecular Biology; CI, confidence interval; COI, cutoff index; COVID-19; COVID-19, coronavirus disease; CSIR, Council of Scientific and Industrial Research; GHMC, Greater Hyderabad Municipal Corporation; Hyderabad; ICMR, Indian Council of Medical Research; India; NIN, National Institute of Nutrition; ODK, Open Data Kit; RT-PCR, reverse-transcription polymerase chain reaction; SARS, severe acute respiratory syndrome; SARS-CoV-2 antibody; SD, standard deviation; SPSS, Statistical Package for the Social Sciences; seroprevalence; serosurveillance.
© 2021 The Author(s).
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