Serial population-based serosurveys for COVID-19 in two neighbourhoods of Karachi, Pakistan
Adult
Male
Adolescent
Urban Population
Seroprevalence
Infectious and parasitic diseases
RC109-216
Antibodies, Viral
Article
COVID-19 Serological Testing
03 medical and health sciences
0302 clinical medicine
Seroepidemiologic Studies
Humans
Pakistan
Child
Antibody
Seroepidemiology
Immunoassay
Surveillance
SARS-CoV-2
COVID-19
Infant
Bayes Theorem
Middle Aged
16. Peace & justice
3. Good health
Cross-Sectional Studies
Child, Preschool
Female
DOI:
10.1016/j.ijid.2021.03.040
Publication Date:
2021-03-18T17:20:14Z
AUTHORS (19)
ABSTRACT
To determine population-based estimates of coronavirus disease 2019 (COVID-19) in a densely populated urban community of Karachi, Pakistan.Three cross-sectional surveys were conducted in April, June and August 2020 in low- and high-transmission neighbourhoods. Participants were selected at random to provide blood for Elecsys immunoassay for detection of anti-severe acute respiratory syndrome coronavirus-2 antibodies. A Bayesian regression model was used to estimate seroprevalence after adjusting for the demographic characteristics of each district.In total, 3005 participants from 623 households were enrolled in this study. In Phase 2, adjusted seroprevalence was estimated as 8.7% [95% confidence interval (CI) 5.1-13.1] and 15.1% (95% CI 9.4-21.7) in low- and high-transmission areas, respectively, compared with 0.2% (95% CI 0-0.7) and 0.4% (95% CI 0-1.3) in Phase 1. In Phase 3, it was 12.8% (95% CI 8.3-17.7) and 21.5% (95% CI 15.6-28) in low- and high-transmission areas, respectively. The conditional risk of infection was 0.31 (95% CI 0.16-0.47) and 0.41 (95% CI 0.28-0.52) in low- and high-transmission neighbourhoods, respectively, in Phase 2. Similar trends were observed in Phase 3. Only 5.4% of participants who tested positive for COVID-19 were symptomatic. The infection fatality rate was 1.66%, 0.37% and 0.26% in Phases 1, 2 and 3, respectively.Continuing rounds of seroprevalence studies will help to improve understanding of secular trends and the extent of infection during the course of the pandemic.
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