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Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms

BACKGROUND: The population-based serosurveys are essential for estimating Coronavirus Disease-19 (COVID-19) burden and monitoring the progression of this pandemic. We aimed to assess the seroprevalence of SARS-CoV-2 antibodies and potential predictors of seropositivity in the Pakistani population. M...

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Autores principales: Javed, Wajiha, Abidi, Syed Hussain Baqar, Baqar, Jaffer Bin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120800/
https://www.ncbi.nlm.nih.gov/pubmed/35596145
http://dx.doi.org/10.1186/s12879-022-07461-9
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author Javed, Wajiha
Abidi, Syed Hussain Baqar
Baqar, Jaffer Bin
author_facet Javed, Wajiha
Abidi, Syed Hussain Baqar
Baqar, Jaffer Bin
author_sort Javed, Wajiha
collection PubMed
description BACKGROUND: The population-based serosurveys are essential for estimating Coronavirus Disease-19 (COVID-19) burden and monitoring the progression of this pandemic. We aimed to assess the seroprevalence of SARS-CoV-2 antibodies and potential predictors of seropositivity in the Pakistani population. METHODOLOGY: This population-based seroprevalence study includes consenting subjects from the workplaces (factories, corporates, restaurants, media houses, schools, banks, and hospitals) located in the urban areas of Karachi, Lahore, Multan, Peshawar, and Quetta. We analyzed each subject's serum sample for SARS-CoV-2-IgM and/or IgG antibodies using UNIPER IgG/IgM Rapid COVID-19 Testing Kit. The subject's demographics, exposure history, and symptoms experienced (in last 7 days) were also obtained. The collected data was analyzed using SPSS version 22.0. RESULTS: The overall seroprevalence of SARS-CoV-2 antibodies was 16.0% (2810/17,764). The total antibody seropositivity was higher in males than females (OR 1.22, 95% CI 1.110–1.340). The symptomatic subjects had 2.18 times higher odds of IgG seropositivity while 1.2 times for IgM seropositivity than the asymptomatic subjects. The multivariable logistic regression model showed that the odds of SARS-CoV-2 total antibody seroprevalence were affected by the number of dependents (OR = 1.077; 95% CI 1.054–1.099), apparent symptomology (OR = 1.288; 95% CI 1.011–1.643), close unprotected contact with a confirmed or probable case of COVID-19 (OR 2.470; 95% CI 2.164–2.819), traveling history (last 14 days) (OR = 1.537; 95% CI 1.234–1.914) and proximity with someone who traveled (OR = 1.534; 95% CI 1.241–1.896). CONCLUSION: We found a reasonable seroprevalence of SARS-CoV-2 antibodies in the studied population. Several factors like the number of dependents, apparent symptoms, close unprotected contact with a confirmed or probable case of COVID-19, traveling history, and proximity with someone who traveled are associated with increased odds of SARS-CoV-2 antibody seropositivity.
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spelling pubmed-91208002022-05-20 Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms Javed, Wajiha Abidi, Syed Hussain Baqar Baqar, Jaffer Bin BMC Infect Dis Research BACKGROUND: The population-based serosurveys are essential for estimating Coronavirus Disease-19 (COVID-19) burden and monitoring the progression of this pandemic. We aimed to assess the seroprevalence of SARS-CoV-2 antibodies and potential predictors of seropositivity in the Pakistani population. METHODOLOGY: This population-based seroprevalence study includes consenting subjects from the workplaces (factories, corporates, restaurants, media houses, schools, banks, and hospitals) located in the urban areas of Karachi, Lahore, Multan, Peshawar, and Quetta. We analyzed each subject's serum sample for SARS-CoV-2-IgM and/or IgG antibodies using UNIPER IgG/IgM Rapid COVID-19 Testing Kit. The subject's demographics, exposure history, and symptoms experienced (in last 7 days) were also obtained. The collected data was analyzed using SPSS version 22.0. RESULTS: The overall seroprevalence of SARS-CoV-2 antibodies was 16.0% (2810/17,764). The total antibody seropositivity was higher in males than females (OR 1.22, 95% CI 1.110–1.340). The symptomatic subjects had 2.18 times higher odds of IgG seropositivity while 1.2 times for IgM seropositivity than the asymptomatic subjects. The multivariable logistic regression model showed that the odds of SARS-CoV-2 total antibody seroprevalence were affected by the number of dependents (OR = 1.077; 95% CI 1.054–1.099), apparent symptomology (OR = 1.288; 95% CI 1.011–1.643), close unprotected contact with a confirmed or probable case of COVID-19 (OR 2.470; 95% CI 2.164–2.819), traveling history (last 14 days) (OR = 1.537; 95% CI 1.234–1.914) and proximity with someone who traveled (OR = 1.534; 95% CI 1.241–1.896). CONCLUSION: We found a reasonable seroprevalence of SARS-CoV-2 antibodies in the studied population. Several factors like the number of dependents, apparent symptoms, close unprotected contact with a confirmed or probable case of COVID-19, traveling history, and proximity with someone who traveled are associated with increased odds of SARS-CoV-2 antibody seropositivity. BioMed Central 2022-05-20 /pmc/articles/PMC9120800/ /pubmed/35596145 http://dx.doi.org/10.1186/s12879-022-07461-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Javed, Wajiha
Abidi, Syed Hussain Baqar
Baqar, Jaffer Bin
Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
title Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
title_full Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
title_fullStr Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
title_full_unstemmed Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
title_short Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
title_sort seroprevalence and characteristics of coronavirus disease (covid-19) in workers with non-specific disease symptoms
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9120800/
https://www.ncbi.nlm.nih.gov/pubmed/35596145
http://dx.doi.org/10.1186/s12879-022-07461-9
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