<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Bhuiyan TR</submitter><funding>NIAID NIH HHS</funding><funding>FIC NIH HHS</funding><pagination>198-203</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8809641</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>2</volume><pubmed_abstract>&lt;h4>Design&lt;/h4>A cross-sectional study was conducted amongst household members in 32 districts of Bangladesh to build knowledge about disease epidemiology and seroepidemiology of coronavirus disease 2019 (COVID-19).&lt;h4>Objective&lt;/h4>Antibody responses to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) were assessed in people between April and October 2020.&lt;h4>Results&lt;/h4>The national seroprevalence rates of immunoglobulin G (IgG) and IgM were estimated to be 30.4% and 39.7%, respectively. In Dhaka, the seroprevalence of IgG was 35.4% in non-slum areas and 63.5% in slum areas. In areas outside of Dhaka, the seroprevalence of IgG was 37.5% in urban areas and 28.7% in rural areas. Between April and October 2020, the highest seroprevalence rate (57% for IgG and 64% for IgM) was observed in August. IgM antibody was more prevalent in younger participants, while older participants had more frequent IgG seropositivity. Follow-up specimens from patients with COVID-19 and their household members suggested that both IgG and IgM seropositivity increased significantly at day 14 and day 28 compared with day 1 after enrolment. &lt;i>Conclusions&lt;/i>: SARS-CoV-2 had spread extensively in Bangladesh by October 2020. This highlights the importance of monitoring seroprevalence data, particularly with the emergence of new SARS-CoV-2 variants over time.</pubmed_abstract><journal>IJID regions</journal><pubmed_title>Seroprevalence of SARS-CoV-2 antibodies in Bangladesh related to novel coronavirus infection.</pubmed_title><pmcid>PMC8809641</pmcid><funding_grant_id>R01 AI130378</funding_grant_id><funding_grant_id>K43 TW010362</funding_grant_id><pubmed_authors>Charles RC</pubmed_authors><pubmed_authors>Arifeen SE</pubmed_authors><pubmed_authors>Qadri F</pubmed_authors><pubmed_authors>Bablu AR</pubmed_authors><pubmed_authors>Alamgir ASM</pubmed_authors><pubmed_authors>Ferdous J</pubmed_authors><pubmed_authors>Rahman SIA</pubmed_authors><pubmed_authors>Hossain K</pubmed_authors><pubmed_authors>Shirin T</pubmed_authors><pubmed_authors>Calderwood SB</pubmed_authors><pubmed_authors>Akhtar M</pubmed_authors><pubmed_authors>Flora MS</pubmed_authors><pubmed_authors>Nazneen A</pubmed_authors><pubmed_authors>Tony SR</pubmed_authors><pubmed_authors>LaRocque RC</pubmed_authors><pubmed_authors>Bhuiyan TR</pubmed_authors><pubmed_authors>Akter A</pubmed_authors><pubmed_authors>Khaton F</pubmed_authors><pubmed_authors>Harris JB</pubmed_authors><pubmed_authors>Rahman M</pubmed_authors><pubmed_authors>Sumon SA</pubmed_authors><pubmed_authors>Banik KC</pubmed_authors><pubmed_authors>Banu S</pubmed_authors><pubmed_authors>Ryan ET</pubmed_authors><pubmed_authors>Chakraborty N</pubmed_authors></additional><is_claimable>false</is_claimable><name>Seroprevalence of SARS-CoV-2 antibodies in Bangladesh related to novel coronavirus infection.</name><description>&lt;h4>Design&lt;/h4>A cross-sectional study was conducted amongst household members in 32 districts of Bangladesh to build knowledge about disease epidemiology and seroepidemiology of coronavirus disease 2019 (COVID-19).&lt;h4>Objective&lt;/h4>Antibody responses to severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) were assessed in people between April and October 2020.&lt;h4>Results&lt;/h4>The national seroprevalence rates of immunoglobulin G (IgG) and IgM were estimated to be 30.4% and 39.7%, respectively. In Dhaka, the seroprevalence of IgG was 35.4% in non-slum areas and 63.5% in slum areas. In areas outside of Dhaka, the seroprevalence of IgG was 37.5% in urban areas and 28.7% in rural areas. Between April and October 2020, the highest seroprevalence rate (57% for IgG and 64% for IgM) was observed in August. IgM antibody was more prevalent in younger participants, while older participants had more frequent IgG seropositivity. Follow-up specimens from patients with COVID-19 and their household members suggested that both IgG and IgM seropositivity increased significantly at day 14 and day 28 compared with day 1 after enrolment. &lt;i>Conclusions&lt;/i>: SARS-CoV-2 had spread extensively in Bangladesh by October 2020. This highlights the importance of monitoring seroprevalence data, particularly with the emergence of new SARS-CoV-2 variants over time.</description><dates><release>2022-01-01T00:00:00Z</release><publication>2022 Mar</publication><modification>2025-04-18T12:19:23.713Z</modification><creation>2025-04-06T21:48:50.771Z</creation></dates><accession>S-EPMC8809641</accession><cross_references><pubmed>35721426</pubmed><doi>10.1016/j.ijregi.2022.01.013</doi></cross_references></HashMap>