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COVID-19 seroprevalence in military police force, Southern Brazil
Limited data is available regarding the frequency of COVID-19 in populations that are highly exposed to SARS-CoV-2. In this cross-section study we evaluated COVID-19 seroprevalence in military police forces of 10 major cities in Rio Grande do Sul, South of Brazil. Sampling was randomly performed in...
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Published in: | PloS one 2021-04, Vol.16 (4), p.e0249672-e0249672 |
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creator | Pasqualotto, Alessandro C Pereira, Paula de Castro Lana, Daiane F Dalla Schwarzbold, Alexandre V Ribeiro, Marco S Riche, Cezar V W Castro, Cristiani Pilati P Korsack, Paula L Ferreira, Paulo Emilio B Domingues, Guilherme de C Ribeiro, Giorgia T Carneiro, Marcelo Caurio, Cassia Ferreira B Vasconcellos, Izadora Clezar da S Knebel, Lidiana M Zamberlan, Lucas Stolz, Andressa P Vilanova, Macarthur Watte, Guilherme Kalil, Antonio N |
description | Limited data is available regarding the frequency of COVID-19 in populations that are highly exposed to SARS-CoV-2. In this cross-section study we evaluated COVID-19 seroprevalence in military police forces of 10 major cities in Rio Grande do Sul, South of Brazil.
Sampling was randomly performed in clusters, in respect to the number of professionals at service per city and military unit. Research subjects were evaluated on July 23, 2020 (first wave peak in Brazil). Clinical information was obtained, and venous blood was taken for ELISA testing (IgA, and IgG antibodies). Sample size consisted of 1,592 military workers (33.6% of study population). They were mostly man (81.2%) and young (median 34 years-old). Most had been asymptomatic (75.3%) during pandemic, and 27.5% reported close contact with COVID-19 cases (after a median time of 21 days). Antibodies were detected in 3.3% of the participants, mostly IgA (2.7%), and IgG (1.7%). After 3 weeks, 66.7% of IgA and IgG results turned negative, in addition to 78.3% and 100% of borderline IgA and IgG results, respectively.
The seroprevalence of COVID-19 amongst military police was at least 3.4 higher than the findings of other studies performed in the general population, in the same cities and dates. Most detectable antibodies were of IgA class, which implies recent exposure. Asymptomatic people were more prone to have negative antibody titters in the second run. |
doi_str_mv | 10.1371/journal.pone.0249672 |
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Sampling was randomly performed in clusters, in respect to the number of professionals at service per city and military unit. Research subjects were evaluated on July 23, 2020 (first wave peak in Brazil). Clinical information was obtained, and venous blood was taken for ELISA testing (IgA, and IgG antibodies). Sample size consisted of 1,592 military workers (33.6% of study population). They were mostly man (81.2%) and young (median 34 years-old). Most had been asymptomatic (75.3%) during pandemic, and 27.5% reported close contact with COVID-19 cases (after a median time of 21 days). Antibodies were detected in 3.3% of the participants, mostly IgA (2.7%), and IgG (1.7%). After 3 weeks, 66.7% of IgA and IgG results turned negative, in addition to 78.3% and 100% of borderline IgA and IgG results, respectively.
The seroprevalence of COVID-19 amongst military police was at least 3.4 higher than the findings of other studies performed in the general population, in the same cities and dates. Most detectable antibodies were of IgA class, which implies recent exposure. Asymptomatic people were more prone to have negative antibody titters in the second run.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0249672</identifier><identifier>PMID: 33886596</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Antibodies ; Asymptomatic ; Biology and life sciences ; Brazil ; Brazil - epidemiology ; Computer programs ; Coronaviruses ; COVID-19 ; COVID-19 - diagnosis ; COVID-19 - epidemiology ; COVID-19 Serological Testing ; Cross-Sectional Studies ; Demographic aspects ; Distribution ; Earth Sciences ; Editing ; Enzyme-linked immunosorbent assay ; Epidemics ; Ethylenediaminetetraacetic acids ; Female ; Gels ; Genetic aspects ; Health aspects ; Humans ; IgG antibody ; Immunoglobulin A ; Immunoglobulin G ; Male ; Medical supplies ; Medicine and Health Sciences ; Middle Aged ; Military ; Military Personnel ; Military police ; Pandemics ; People and places ; Police ; Research and Analysis Methods ; Reviews ; SARS-CoV-2 - isolation & purification ; Separators ; Seroepidemiologic Studies ; Serology ; Severe acute respiratory syndrome coronavirus 2 ; Social Sciences ; Software ; Standard deviation ; Tubes ; Viral diseases</subject><ispartof>PloS one, 2021-04, Vol.16 (4), p.e0249672-e0249672</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Pasqualotto et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 Pasqualotto et al 2021 Pasqualotto et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c557t-bab0907a99e0e4ce6e798b59d1424211cde0decc2df696425d0bc2e1677ad8363</citedby><cites>FETCH-LOGICAL-c557t-bab0907a99e0e4ce6e798b59d1424211cde0decc2df696425d0bc2e1677ad8363</cites><orcidid>0000-0003-1120-217X ; 0000-0002-6782-5395</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2516826903?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2516826903?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33886596$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Pasqualotto, Alessandro C</creatorcontrib><creatorcontrib>Pereira, Paula de Castro</creatorcontrib><creatorcontrib>Lana, Daiane F Dalla</creatorcontrib><creatorcontrib>Schwarzbold, Alexandre V</creatorcontrib><creatorcontrib>Ribeiro, Marco S</creatorcontrib><creatorcontrib>Riche, Cezar V W</creatorcontrib><creatorcontrib>Castro, Cristiani Pilati P</creatorcontrib><creatorcontrib>Korsack, Paula L</creatorcontrib><creatorcontrib>Ferreira, Paulo Emilio B</creatorcontrib><creatorcontrib>Domingues, Guilherme de C</creatorcontrib><creatorcontrib>Ribeiro, Giorgia T</creatorcontrib><creatorcontrib>Carneiro, Marcelo</creatorcontrib><creatorcontrib>Caurio, Cassia Ferreira B</creatorcontrib><creatorcontrib>Vasconcellos, Izadora Clezar da S</creatorcontrib><creatorcontrib>Knebel, Lidiana M</creatorcontrib><creatorcontrib>Zamberlan, Lucas</creatorcontrib><creatorcontrib>Stolz, Andressa P</creatorcontrib><creatorcontrib>Vilanova, Macarthur</creatorcontrib><creatorcontrib>Watte, Guilherme</creatorcontrib><creatorcontrib>Kalil, Antonio N</creatorcontrib><title>COVID-19 seroprevalence in military police force, Southern Brazil</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Limited data is available regarding the frequency of COVID-19 in populations that are highly exposed to SARS-CoV-2. In this cross-section study we evaluated COVID-19 seroprevalence in military police forces of 10 major cities in Rio Grande do Sul, South of Brazil.
Sampling was randomly performed in clusters, in respect to the number of professionals at service per city and military unit. Research subjects were evaluated on July 23, 2020 (first wave peak in Brazil). Clinical information was obtained, and venous blood was taken for ELISA testing (IgA, and IgG antibodies). Sample size consisted of 1,592 military workers (33.6% of study population). They were mostly man (81.2%) and young (median 34 years-old). Most had been asymptomatic (75.3%) during pandemic, and 27.5% reported close contact with COVID-19 cases (after a median time of 21 days). Antibodies were detected in 3.3% of the participants, mostly IgA (2.7%), and IgG (1.7%). After 3 weeks, 66.7% of IgA and IgG results turned negative, in addition to 78.3% and 100% of borderline IgA and IgG results, respectively.
The seroprevalence of COVID-19 amongst military police was at least 3.4 higher than the findings of other studies performed in the general population, in the same cities and dates. Most detectable antibodies were of IgA class, which implies recent exposure. Asymptomatic people were more prone to have negative antibody titters in the second run.</description><subject>Adult</subject><subject>Antibodies</subject><subject>Asymptomatic</subject><subject>Biology and life sciences</subject><subject>Brazil</subject><subject>Brazil - epidemiology</subject><subject>Computer programs</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - diagnosis</subject><subject>COVID-19 - epidemiology</subject><subject>COVID-19 Serological Testing</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Distribution</subject><subject>Earth Sciences</subject><subject>Editing</subject><subject>Enzyme-linked immunosorbent assay</subject><subject>Epidemics</subject><subject>Ethylenediaminetetraacetic acids</subject><subject>Female</subject><subject>Gels</subject><subject>Genetic aspects</subject><subject>Health aspects</subject><subject>Humans</subject><subject>IgG antibody</subject><subject>Immunoglobulin A</subject><subject>Immunoglobulin G</subject><subject>Male</subject><subject>Medical supplies</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Military</subject><subject>Military Personnel</subject><subject>Military police</subject><subject>Pandemics</subject><subject>People and places</subject><subject>Police</subject><subject>Research and Analysis Methods</subject><subject>Reviews</subject><subject>SARS-CoV-2 - isolation & purification</subject><subject>Separators</subject><subject>Seroepidemiologic Studies</subject><subject>Serology</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Social Sciences</subject><subject>Software</subject><subject>Standard deviation</subject><subject>Tubes</subject><subject>Viral diseases</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>COVID</sourceid><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk1v1DAQhiMEoqXwDxBEQkI9NIu_Y1-QlqWFlSr1wMfVcpzJrlfeONhJJfj1uN20ahEnW-Nn3pnxvEXxGqMFpjX-sAtT7I1fDKGHBSJMiZo8KY6xoqQSBNGnD-5HxYuUdghxKoV4XhxRKqXgShwXy9XVz_XnCqsyQQxDhGvjobdQur7cO-9GE3-XQ_Auh7oQLZyV38I0biH25ado_jj_snjWGZ_g1XyeFD8uzr-vvlaXV1_Wq-VlZTmvx6oxDVKoNkoBAmZBQK1kw1WLGWEEY9sCasFa0nZCCUZ4ixpLAIu6Nq2kgp4Ubw-6gw9Jz9MnTTgWkgiFaCbWB6INZqeH6Pa5eR2M07eBEDfaxNFZDxohi1qsbAdEstqYpumQoLgTpOsQB8haH-dqU7OH1kI_RuMfiT5-6d1Wb8K1lkjkb2dZ4HQWiOHXBGnUe5cseG96CNNt35IQwhnJ6Lt_0P9P9_5AbfKG9BaMH7cp-Gl0oU96mddJGZFUZZAdQBtDShG6-64x0jfWuZPXN9bRs3Vy2puHE98n3XmF_gVQwMC-</recordid><startdate>20210422</startdate><enddate>20210422</enddate><creator>Pasqualotto, Alessandro C</creator><creator>Pereira, Paula de Castro</creator><creator>Lana, Daiane F Dalla</creator><creator>Schwarzbold, Alexandre V</creator><creator>Ribeiro, Marco S</creator><creator>Riche, Cezar V W</creator><creator>Castro, Cristiani Pilati P</creator><creator>Korsack, Paula L</creator><creator>Ferreira, Paulo Emilio B</creator><creator>Domingues, Guilherme de C</creator><creator>Ribeiro, Giorgia T</creator><creator>Carneiro, Marcelo</creator><creator>Caurio, Cassia Ferreira B</creator><creator>Vasconcellos, Izadora Clezar da S</creator><creator>Knebel, Lidiana M</creator><creator>Zamberlan, Lucas</creator><creator>Stolz, Andressa P</creator><creator>Vilanova, Macarthur</creator><creator>Watte, Guilherme</creator><creator>Kalil, Antonio N</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>COVID</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PJZUB</scope><scope>PKEHL</scope><scope>PPXIY</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-1120-217X</orcidid><orcidid>https://orcid.org/0000-0002-6782-5395</orcidid></search><sort><creationdate>20210422</creationdate><title>COVID-19 seroprevalence in military police force, Southern Brazil</title><author>Pasqualotto, Alessandro C ; Pereira, Paula de Castro ; Lana, Daiane F Dalla ; Schwarzbold, Alexandre V ; Ribeiro, Marco S ; Riche, Cezar V W ; Castro, Cristiani Pilati P ; Korsack, Paula L ; Ferreira, Paulo Emilio B ; Domingues, Guilherme de C ; Ribeiro, Giorgia T ; Carneiro, Marcelo ; Caurio, Cassia Ferreira B ; Vasconcellos, Izadora Clezar da S ; Knebel, Lidiana M ; Zamberlan, Lucas ; Stolz, Andressa P ; Vilanova, Macarthur ; Watte, Guilherme ; Kalil, Antonio N</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c557t-bab0907a99e0e4ce6e798b59d1424211cde0decc2df696425d0bc2e1677ad8363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Antibodies</topic><topic>Asymptomatic</topic><topic>Biology and life sciences</topic><topic>Brazil</topic><topic>Brazil - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pasqualotto, Alessandro C</au><au>Pereira, Paula de Castro</au><au>Lana, Daiane F Dalla</au><au>Schwarzbold, Alexandre V</au><au>Ribeiro, Marco S</au><au>Riche, Cezar V W</au><au>Castro, Cristiani Pilati P</au><au>Korsack, Paula L</au><au>Ferreira, Paulo Emilio B</au><au>Domingues, Guilherme de C</au><au>Ribeiro, Giorgia T</au><au>Carneiro, Marcelo</au><au>Caurio, Cassia Ferreira B</au><au>Vasconcellos, Izadora Clezar da S</au><au>Knebel, Lidiana M</au><au>Zamberlan, Lucas</au><au>Stolz, Andressa P</au><au>Vilanova, Macarthur</au><au>Watte, Guilherme</au><au>Kalil, Antonio N</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>COVID-19 seroprevalence in military police force, Southern Brazil</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2021-04-22</date><risdate>2021</risdate><volume>16</volume><issue>4</issue><spage>e0249672</spage><epage>e0249672</epage><pages>e0249672-e0249672</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Limited data is available regarding the frequency of COVID-19 in populations that are highly exposed to SARS-CoV-2. In this cross-section study we evaluated COVID-19 seroprevalence in military police forces of 10 major cities in Rio Grande do Sul, South of Brazil.
Sampling was randomly performed in clusters, in respect to the number of professionals at service per city and military unit. Research subjects were evaluated on July 23, 2020 (first wave peak in Brazil). Clinical information was obtained, and venous blood was taken for ELISA testing (IgA, and IgG antibodies). Sample size consisted of 1,592 military workers (33.6% of study population). They were mostly man (81.2%) and young (median 34 years-old). Most had been asymptomatic (75.3%) during pandemic, and 27.5% reported close contact with COVID-19 cases (after a median time of 21 days). Antibodies were detected in 3.3% of the participants, mostly IgA (2.7%), and IgG (1.7%). After 3 weeks, 66.7% of IgA and IgG results turned negative, in addition to 78.3% and 100% of borderline IgA and IgG results, respectively.
The seroprevalence of COVID-19 amongst military police was at least 3.4 higher than the findings of other studies performed in the general population, in the same cities and dates. Most detectable antibodies were of IgA class, which implies recent exposure. Asymptomatic people were more prone to have negative antibody titters in the second run.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>33886596</pmid><doi>10.1371/journal.pone.0249672</doi><orcidid>https://orcid.org/0000-0003-1120-217X</orcidid><orcidid>https://orcid.org/0000-0002-6782-5395</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2021-04, Vol.16 (4), p.e0249672-e0249672 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_2516826903 |
source | Publicly Available Content Database; PubMed Central; Coronavirus Research Database |
subjects | Adult Antibodies Asymptomatic Biology and life sciences Brazil Brazil - epidemiology Computer programs Coronaviruses COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 Serological Testing Cross-Sectional Studies Demographic aspects Distribution Earth Sciences Editing Enzyme-linked immunosorbent assay Epidemics Ethylenediaminetetraacetic acids Female Gels Genetic aspects Health aspects Humans IgG antibody Immunoglobulin A Immunoglobulin G Male Medical supplies Medicine and Health Sciences Middle Aged Military Military Personnel Military police Pandemics People and places Police Research and Analysis Methods Reviews SARS-CoV-2 - isolation & purification Separators Seroepidemiologic Studies Serology Severe acute respiratory syndrome coronavirus 2 Social Sciences Software Standard deviation Tubes Viral diseases |
title | COVID-19 seroprevalence in military police force, Southern Brazil |
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