Comparison of the capture-recapture method and seroprevalence survey for estimation of COVID-19 prevalence in the Islamic Republic of Iran
Reliable estimation of prevalence is important for monitoring and evaluation of COVID-19 prevention programmes among at-risk populations. We compared the capture-recapture method with a seroprevalence survey for accurate estimation of the prevalence of COVID-19 during a 1-year period in Guilan Provi...
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Veröffentlicht in: | Eastern Mediterranean health journal 2023-02, Vol.29 (2), p.126-131 |
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container_title | Eastern Mediterranean health journal |
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creator | Davoudi Kiakalayeh, Ali Rahbar Taramsari, Morteza Mohammadi, Reza Davoudi Kiakalayeh, Sajad Kavakpour, Hassan |
description | Reliable estimation of prevalence is important for monitoring and evaluation of COVID-19 prevention programmes among at-risk populations.
We compared the capture-recapture method with a seroprevalence survey for accurate estimation of the prevalence of COVID-19 during a 1-year period in Guilan Province, northern Islamic Republic of Iran.
We used the capture-recapture method to estimate the prevalence of COVID-19. Records from the primary care registry system and the Medical Care Monitoring Center were compared, using 4 matching approaches based on combinations of the following variables: name, age, gender, date of death, positive or negative cases, and alive or dead cases.
The estimated prevalence of COVID-19 in the study population from the beginning of the pandemic in February 2020 until the end of January 2021 was 16.2-19.8%, depending on the matching approach used, which was lower than in previous studies.
The capture-recapture method may provide better accuracy than seroprevalence surveys in measuring the prevalence of COVID-19. This method may also reduce the bias in the estimation of prevalence and correct the misconception of policymakers about seroprevalence survey results. |
doi_str_mv | 10.26719/emhj.23.010 |
format | Article |
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We compared the capture-recapture method with a seroprevalence survey for accurate estimation of the prevalence of COVID-19 during a 1-year period in Guilan Province, northern Islamic Republic of Iran.
We used the capture-recapture method to estimate the prevalence of COVID-19. Records from the primary care registry system and the Medical Care Monitoring Center were compared, using 4 matching approaches based on combinations of the following variables: name, age, gender, date of death, positive or negative cases, and alive or dead cases.
The estimated prevalence of COVID-19 in the study population from the beginning of the pandemic in February 2020 until the end of January 2021 was 16.2-19.8%, depending on the matching approach used, which was lower than in previous studies.
The capture-recapture method may provide better accuracy than seroprevalence surveys in measuring the prevalence of COVID-19. This method may also reduce the bias in the estimation of prevalence and correct the misconception of policymakers about seroprevalence survey results.</description><identifier>ISSN: 1020-3397</identifier><identifier>EISSN: 1687-1634</identifier><identifier>DOI: 10.26719/emhj.23.010</identifier><identifier>PMID: 36880494</identifier><language>eng</language><publisher>Egypt: World Health Organization</publisher><subject>Capture-recapture studies ; COVID-19 ; COVID-19 - epidemiology ; Datasets ; Emergency medical care ; Epidemics ; Estimates ; Gender ; Health care ; Health services ; Hospitals ; Humans ; Infections ; Iran - epidemiology ; Matching ; Medical education ; Methods ; Monitoring ; Outpatient care facilities ; Pandemics ; Pneumonia ; Polls & surveys ; Population ; Population studies ; Populations ; Prevalence ; Prevention ; Primary care ; Seroepidemiologic Studies ; Serology ; Severe acute respiratory syndrome coronavirus 2 ; Surveys ; Telemedicine ; Trends</subject><ispartof>Eastern Mediterranean health journal, 2023-02, Vol.29 (2), p.126-131</ispartof><rights>Copyright © Authors 2023; Licensee: World Health Organization. EMHJ is an open access journal. This paper is available under the Creative Commons Attribution Non-Commercial ShareAlike 3.0 IGO licence (CC BY-NC-SA 3.0 IGO; https://creativecommons.org/licenses/by-nc-sa/3.0/igo).</rights><rights>Copyright World Health Organization 2023</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,551,777,781,882,27905,27906</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/36880494$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:152091979$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Davoudi Kiakalayeh, Ali</creatorcontrib><creatorcontrib>Rahbar Taramsari, Morteza</creatorcontrib><creatorcontrib>Mohammadi, Reza</creatorcontrib><creatorcontrib>Davoudi Kiakalayeh, Sajad</creatorcontrib><creatorcontrib>Kavakpour, Hassan</creatorcontrib><title>Comparison of the capture-recapture method and seroprevalence survey for estimation of COVID-19 prevalence in the Islamic Republic of Iran</title><title>Eastern Mediterranean health journal</title><addtitle>East Mediterr Health J</addtitle><description>Reliable estimation of prevalence is important for monitoring and evaluation of COVID-19 prevention programmes among at-risk populations.
We compared the capture-recapture method with a seroprevalence survey for accurate estimation of the prevalence of COVID-19 during a 1-year period in Guilan Province, northern Islamic Republic of Iran.
We used the capture-recapture method to estimate the prevalence of COVID-19. Records from the primary care registry system and the Medical Care Monitoring Center were compared, using 4 matching approaches based on combinations of the following variables: name, age, gender, date of death, positive or negative cases, and alive or dead cases.
The estimated prevalence of COVID-19 in the study population from the beginning of the pandemic in February 2020 until the end of January 2021 was 16.2-19.8%, depending on the matching approach used, which was lower than in previous studies.
The capture-recapture method may provide better accuracy than seroprevalence surveys in measuring the prevalence of COVID-19. This method may also reduce the bias in the estimation of prevalence and correct the misconception of policymakers about seroprevalence survey results.</description><subject>Capture-recapture studies</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Datasets</subject><subject>Emergency medical care</subject><subject>Epidemics</subject><subject>Estimates</subject><subject>Gender</subject><subject>Health care</subject><subject>Health services</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Infections</subject><subject>Iran - epidemiology</subject><subject>Matching</subject><subject>Medical education</subject><subject>Methods</subject><subject>Monitoring</subject><subject>Outpatient care facilities</subject><subject>Pandemics</subject><subject>Pneumonia</subject><subject>Polls & surveys</subject><subject>Population</subject><subject>Population studies</subject><subject>Populations</subject><subject>Prevalence</subject><subject>Prevention</subject><subject>Primary care</subject><subject>Seroepidemiologic Studies</subject><subject>Serology</subject><subject>Severe acute respiratory syndrome coronavirus 2</subject><subject>Surveys</subject><subject>Telemedicine</subject><subject>Trends</subject><issn>1020-3397</issn><issn>1687-1634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>D8T</sourceid><recordid>eNpNkUtr3DAYRUVJ6CRpd10XQbbxRK_qsSyTRwcCgZB2K2T5E-Pp2HIlOyV_Ib86mkeHrnQRh8OVLkJfKJkzqai5hm61njM-J5R8QGdUalVRycVJyYSRinOjZug85zUhTGvBPqIZl1oTYcQZelvEbnCpzbHHMeBxBdi7YZwSVAkOCXcwrmKDXd_gDCkOCV7cBnoPOE_pBV5xiAlDHtvOje1etHj8tbypqMH_wW2_8y_zxnWtx08wTPWmhIIvk-s_odPgNhk-H84L9PPu9nnxo3p4vF8uvj9Unn9jY-W8rA1nhnjqXAjC6VowTlnQ0vBGGCl1DaCaEHQQRAhQhnHPlW9cUFB-5gJVe2_-u21gh1R6p1cbXWsPV79LAiuE4mzLX-75IcU_U3mmXccp9aWiZUoTKQndUVd7yqeYc4Jw9FJid0PZ7VCWcVuGKvjXg3SqO2iO8L9l-DuQepEO</recordid><startdate>20230226</startdate><enddate>20230226</enddate><creator>Davoudi Kiakalayeh, Ali</creator><creator>Rahbar Taramsari, Morteza</creator><creator>Mohammadi, Reza</creator><creator>Davoudi Kiakalayeh, Sajad</creator><creator>Kavakpour, Hassan</creator><general>World Health Organization</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>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>CWDGH</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>NAPCQ</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope></search><sort><creationdate>20230226</creationdate><title>Comparison of the capture-recapture method and seroprevalence survey for estimation of COVID-19 prevalence in the Islamic Republic of Iran</title><author>Davoudi Kiakalayeh, Ali ; Rahbar Taramsari, Morteza ; Mohammadi, Reza ; Davoudi Kiakalayeh, Sajad ; Kavakpour, Hassan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c352t-ac6b93290c1aaff4a8b42312f8693d49668bee7dff8f4044e7923c37cdaf7e163</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Capture-recapture studies</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Datasets</topic><topic>Emergency medical care</topic><topic>Epidemics</topic><topic>Estimates</topic><topic>Gender</topic><topic>Health care</topic><topic>Health services</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Infections</topic><topic>Iran - epidemiology</topic><topic>Matching</topic><topic>Medical education</topic><topic>Methods</topic><topic>Monitoring</topic><topic>Outpatient care facilities</topic><topic>Pandemics</topic><topic>Pneumonia</topic><topic>Polls & surveys</topic><topic>Population</topic><topic>Population studies</topic><topic>Populations</topic><topic>Prevalence</topic><topic>Prevention</topic><topic>Primary care</topic><topic>Seroepidemiologic Studies</topic><topic>Serology</topic><topic>Severe acute respiratory syndrome coronavirus 2</topic><topic>Surveys</topic><topic>Telemedicine</topic><topic>Trends</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Davoudi Kiakalayeh, Ali</creatorcontrib><creatorcontrib>Rahbar Taramsari, Morteza</creatorcontrib><creatorcontrib>Mohammadi, Reza</creatorcontrib><creatorcontrib>Davoudi Kiakalayeh, Sajad</creatorcontrib><creatorcontrib>Kavakpour, Hassan</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>Middle East & Africa Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Nursing & Allied Health Premium</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Environmental Science Collection</collection><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>Eastern Mediterranean health journal</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Davoudi Kiakalayeh, Ali</au><au>Rahbar Taramsari, Morteza</au><au>Mohammadi, Reza</au><au>Davoudi Kiakalayeh, Sajad</au><au>Kavakpour, Hassan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Comparison of the capture-recapture method and seroprevalence survey for estimation of COVID-19 prevalence in the Islamic Republic of Iran</atitle><jtitle>Eastern Mediterranean health journal</jtitle><addtitle>East Mediterr Health J</addtitle><date>2023-02-26</date><risdate>2023</risdate><volume>29</volume><issue>2</issue><spage>126</spage><epage>131</epage><pages>126-131</pages><issn>1020-3397</issn><eissn>1687-1634</eissn><abstract>Reliable estimation of prevalence is important for monitoring and evaluation of COVID-19 prevention programmes among at-risk populations.
We compared the capture-recapture method with a seroprevalence survey for accurate estimation of the prevalence of COVID-19 during a 1-year period in Guilan Province, northern Islamic Republic of Iran.
We used the capture-recapture method to estimate the prevalence of COVID-19. Records from the primary care registry system and the Medical Care Monitoring Center were compared, using 4 matching approaches based on combinations of the following variables: name, age, gender, date of death, positive or negative cases, and alive or dead cases.
The estimated prevalence of COVID-19 in the study population from the beginning of the pandemic in February 2020 until the end of January 2021 was 16.2-19.8%, depending on the matching approach used, which was lower than in previous studies.
The capture-recapture method may provide better accuracy than seroprevalence surveys in measuring the prevalence of COVID-19. This method may also reduce the bias in the estimation of prevalence and correct the misconception of policymakers about seroprevalence survey results.</abstract><cop>Egypt</cop><pub>World Health Organization</pub><pmid>36880494</pmid><doi>10.26719/emhj.23.010</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Capture-recapture studies COVID-19 COVID-19 - epidemiology Datasets Emergency medical care Epidemics Estimates Gender Health care Health services Hospitals Humans Infections Iran - epidemiology Matching Medical education Methods Monitoring Outpatient care facilities Pandemics Pneumonia Polls & surveys Population Population studies Populations Prevalence Prevention Primary care Seroepidemiologic Studies Serology Severe acute respiratory syndrome coronavirus 2 Surveys Telemedicine Trends |
title | Comparison of the capture-recapture method and seroprevalence survey for estimation of COVID-19 prevalence in the Islamic Republic of Iran |
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