Population-based cross-sectional seroprevalence study of SARS-CoV-2 infection in urban residential areas in Ghana.

ABSTRACT:

Introduction

Estimates of SARS-CoV-2-specific IgG antibodies using robust designs and serological assays have been a key component in assessing and reporting the overall occurrence of COVID-19 infection burden in the general population. The objective of this study was to estimate the seroprevalence and characteristics of COVID-19 infection transmission in Ghana.

Methods

We conducted a cross-sectional survey using a two-stage stratified random sampling of community household members from February 2021 to February 2022 in Ghana, to estimate SARS-CoV-2 seroprevalence. Bayesian models with poststratification weighting of the demographic structure of the sample population were used for seroprevalence estimates, accounting for the uncertainty of diagnostic assay in a hierarchical

SUBMITTER: Amuasi JH 

PROVIDER: S-EPMC12186045 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature