Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021

<h4>Background</h4> Seroprevalence studies have been carried out in many developed and developing countries to evaluate ongoing and past infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Data on this infection in marginalized populations in urban slums are limi...

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Main Authors: Rubhana Raqib, Protim Sarker, Evana Akhtar, Tarique Mohammad Nurul Huda, Md. Ahsanul Haq, Anjan Kumar Roy, Md. Biplob Hosen, Farjana Haque, Md. Razib Chowdhury, Daniel D. Reidpath, Dewan Md. Emdadul Hoque, Zahirul Islam, Shehlina Ahmed, Tahmeed Ahmed, Fahmida Tofail, Abdur Razzaque
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126397/?tool=EBI
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author Rubhana Raqib
Protim Sarker
Evana Akhtar
Tarique Mohammad Nurul Huda
Md. Ahsanul Haq
Anjan Kumar Roy
Md. Biplob Hosen
Farjana Haque
Md. Razib Chowdhury
Daniel D. Reidpath
Dewan Md. Emdadul Hoque
Zahirul Islam
Shehlina Ahmed
Tahmeed Ahmed
Fahmida Tofail
Abdur Razzaque
author_facet Rubhana Raqib
Protim Sarker
Evana Akhtar
Tarique Mohammad Nurul Huda
Md. Ahsanul Haq
Anjan Kumar Roy
Md. Biplob Hosen
Farjana Haque
Md. Razib Chowdhury
Daniel D. Reidpath
Dewan Md. Emdadul Hoque
Zahirul Islam
Shehlina Ahmed
Tahmeed Ahmed
Fahmida Tofail
Abdur Razzaque
author_sort Rubhana Raqib
collection DOAJ
description <h4>Background</h4> Seroprevalence studies have been carried out in many developed and developing countries to evaluate ongoing and past infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Data on this infection in marginalized populations in urban slums are limited, which may offer crucial information to update prevention and mitigation policies and strategies. We aimed to determine the seroprevalence of SARS-CoV-2 infection and factors associated with seropositivity in slum and non-slum communities in two large cities in Bangladesh. <h4>Methods</h4> A cross-sectional study was carried out among the target population in Dhaka and Chattogram cities between October 2020 and February 2021. Questionnaire-based data, anthropometric and blood pressure measurements and blood were obtained. SARS-CoV-2 serology was assessed by Roche Elecsys® Anti-SARS-CoV-2 immunoassay. <h4>Results</h4> Among the 3220 participants (2444 adults, ≥18 years; 776 children, 10–17 years), the overall weighted seroprevalence was 67.3% (95% confidence intervals (CI) = 65.2, 69.3) with 71.0% in slum (95% CI = 68.7, 72.2) and 62.2% in non-slum (95% CI = 58.5, 65.8). The weighted seroprevalence was 72.9% in Dhaka and 54.2% in Chattogram. Seroprevalence was positively associated with limited years of formal education (adjusted odds ratio [aOR] = 1.61; 95% CI = 1.43, 1.82), lower income (aOR = 1.23; 95% CI = 1.03, 1.46), overweight (aOR = 1.2835; 95% CI = 1.26, 1.97), diabetes (aOR = 1.67; 95% CI = 1.21, 2.32) and heart disease (aOR = 1.38; 95% CI = 1.03, 1.86). Contrarily, negative associations were found between seropositivity and regular wearing of masks and washing hands, and prior BCG vaccination. About 63% of the population had asymptomatic infection; only 33% slum and 49% non-slum population showed symptomatic infection. <h4>Conclusion</h4> The estimated seroprevalence of SARS-CoV-2 was more prominent in impoverished informal settlements than in the adjacent middle-income non-slum areas. Additional factors associated with seropositivity included limited education, low income, overweight and pre-existing chronic conditions. Behavioral factors such as regular wearing of masks and washing hands were associated with lower probability of seropositivity.
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spelling doaj.art-4f6844000c7e4523a653fa21ed5962742022-12-22T00:26:49ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01175Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021Rubhana RaqibProtim SarkerEvana AkhtarTarique Mohammad Nurul HudaMd. Ahsanul HaqAnjan Kumar RoyMd. Biplob HosenFarjana HaqueMd. Razib ChowdhuryDaniel D. ReidpathDewan Md. Emdadul HoqueZahirul IslamShehlina AhmedTahmeed AhmedFahmida TofailAbdur Razzaque<h4>Background</h4> Seroprevalence studies have been carried out in many developed and developing countries to evaluate ongoing and past infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Data on this infection in marginalized populations in urban slums are limited, which may offer crucial information to update prevention and mitigation policies and strategies. We aimed to determine the seroprevalence of SARS-CoV-2 infection and factors associated with seropositivity in slum and non-slum communities in two large cities in Bangladesh. <h4>Methods</h4> A cross-sectional study was carried out among the target population in Dhaka and Chattogram cities between October 2020 and February 2021. Questionnaire-based data, anthropometric and blood pressure measurements and blood were obtained. SARS-CoV-2 serology was assessed by Roche Elecsys® Anti-SARS-CoV-2 immunoassay. <h4>Results</h4> Among the 3220 participants (2444 adults, ≥18 years; 776 children, 10–17 years), the overall weighted seroprevalence was 67.3% (95% confidence intervals (CI) = 65.2, 69.3) with 71.0% in slum (95% CI = 68.7, 72.2) and 62.2% in non-slum (95% CI = 58.5, 65.8). The weighted seroprevalence was 72.9% in Dhaka and 54.2% in Chattogram. Seroprevalence was positively associated with limited years of formal education (adjusted odds ratio [aOR] = 1.61; 95% CI = 1.43, 1.82), lower income (aOR = 1.23; 95% CI = 1.03, 1.46), overweight (aOR = 1.2835; 95% CI = 1.26, 1.97), diabetes (aOR = 1.67; 95% CI = 1.21, 2.32) and heart disease (aOR = 1.38; 95% CI = 1.03, 1.86). Contrarily, negative associations were found between seropositivity and regular wearing of masks and washing hands, and prior BCG vaccination. About 63% of the population had asymptomatic infection; only 33% slum and 49% non-slum population showed symptomatic infection. <h4>Conclusion</h4> The estimated seroprevalence of SARS-CoV-2 was more prominent in impoverished informal settlements than in the adjacent middle-income non-slum areas. Additional factors associated with seropositivity included limited education, low income, overweight and pre-existing chronic conditions. Behavioral factors such as regular wearing of masks and washing hands were associated with lower probability of seropositivity.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126397/?tool=EBI
spellingShingle Rubhana Raqib
Protim Sarker
Evana Akhtar
Tarique Mohammad Nurul Huda
Md. Ahsanul Haq
Anjan Kumar Roy
Md. Biplob Hosen
Farjana Haque
Md. Razib Chowdhury
Daniel D. Reidpath
Dewan Md. Emdadul Hoque
Zahirul Islam
Shehlina Ahmed
Tahmeed Ahmed
Fahmida Tofail
Abdur Razzaque
Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021
PLoS ONE
title Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021
title_full Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021
title_fullStr Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021
title_full_unstemmed Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021
title_short Seroprevalence of SARS-CoV-2 infection and associated factors among Bangladeshi slum and non-slum dwellers in pre-COVID-19 vaccination era: October 2020 to February 2021
title_sort seroprevalence of sars cov 2 infection and associated factors among bangladeshi slum and non slum dwellers in pre covid 19 vaccination era october 2020 to february 2021
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9126397/?tool=EBI
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