Evidence map›Paper›PMID 35604947›Full record

ArticlePloS one2022

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.

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 and 6 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Rubhana RaqibInfectious Diseases Division, icddrb, Dhaka, Bangladesh.ORCID 0000-0002-8116-4511
Protim SarkerInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Evana AkhtarInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Tarique Mohammad Nurul HudaInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Md Ahsanul HaqInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Anjan Kumar RoyInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Md Biplob HosenInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Farjana HaqueInfectious Diseases Division, icddrb, Dhaka, Bangladesh.
Md Razib ChowdhuryHealth Systems and Population Studies Division, icddrb, Dhaka, Bangladesh.
Daniel D ReidpathHealth Systems and Population Studies Division, icddrb, Dhaka, Bangladesh.
Dewan Md Emdadul HoqueUnited Nations Population Fund (UNFPA), Dhaka, Bangladesh.ORCID 0000-0001-8219-9196
Zahirul IslamEmbassy of Sweden, Dhaka, Bangladesh.ORCID 0000-0002-2213-8591
Shehlina AhmedForeign, Commonwealth & Development Office (FCDO), Dhaka, Bangladesh.
Tahmeed AhmedNutrition and Clinical Services Division, icddrb, Dhaka, Bangladesh.
Fahmida TofailNutrition and Clinical Services Division, icddrb, Dhaka, Bangladesh.
Abdur RazzaqueHealth Systems and Population Studies Division, icddrb, Dhaka, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSeroprevalence 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.

methodsA 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.

resultsAmong 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.

conclusionThe 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.

Indexed as

COVID-19AdultAntibodies, ViralBangladeshChildCOVID-19 VaccinesCross-Sectional StudiesHumansOverweightPoverty AreasSARS-CoV-2Seroepidemiologic StudiesVaccinationAntibodies, ViralCOVID-19 Vaccines

Identifiers

PMID35604947
PMCPMC9126397

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.