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Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications
IntroductionThe infection fatality rate (IFR) of COVID-19 has been carefully measured and analysed in high-income countries, whereas there has been no systematic analysis of age-specific seroprevalence or IFR for developing countries.MethodsWe systematically reviewed the literature to identify all C...
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Published in: | BMJ global health 2022-05, Vol.7 (5), p.e008477 |
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creator | Levin, Andrew T Owusu-Boaitey, Nana Pugh, Sierra Fosdick, Bailey K Zwi, Anthony B Malani, Anup Soman, Satej Besançon, Lonni Kashnitsky, Ilya Ganesh, Sachin McLaughlin, Aloysius Song, Gayeong Uhm, Rine Herrera-Esposito, Daniel de los Campos, Gustavo Peçanha Antonio, Ana Carolina Pecanha Tadese, Enyew Birru Meyerowitz-Katz, Gideon |
description | IntroductionThe infection fatality rate (IFR) of COVID-19 has been carefully measured and analysed in high-income countries, whereas there has been no systematic analysis of age-specific seroprevalence or IFR for developing countries.MethodsWe systematically reviewed the literature to identify all COVID-19 serology studies in developing countries that were conducted using representative samples collected by February 2021. For each of the antibody assays used in these serology studies, we identified data on assay characteristics, including the extent of seroreversion over time. We analysed the serology data using a Bayesian model that incorporates conventional sampling uncertainty as well as uncertainties about assay sensitivity and specificity. We then calculated IFRs using individual case reports or aggregated public health updates, including age-specific estimates whenever feasible.ResultsIn most locations in developing countries, seroprevalence among older adults was similar to that of younger age cohorts, underscoring the limited capacity that these nations have to protect older age groups.Age-specific IFRs were roughly 2 times higher than in high-income countries. The median value of the population IFR was about 0.5%, similar to that of high-income countries, because disparities in healthcare access were roughly offset by differences in population age structure.ConclusionThe burden of COVID-19 is far higher in developing countries than in high-income countries, reflecting a combination of elevated transmission to middle-aged and older adults as well as limited access to adequate healthcare. These results underscore the critical need to ensure medical equity to populations in developing countries through provision of vaccine doses and effective medications. |
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For each of the antibody assays used in these serology studies, we identified data on assay characteristics, including the extent of seroreversion over time. We analysed the serology data using a Bayesian model that incorporates conventional sampling uncertainty as well as uncertainties about assay sensitivity and specificity. We then calculated IFRs using individual case reports or aggregated public health updates, including age-specific estimates whenever feasible.ResultsIn most locations in developing countries, seroprevalence among older adults was similar to that of younger age cohorts, underscoring the limited capacity that these nations have to protect older age groups.Age-specific IFRs were roughly 2 times higher than in high-income countries. The median value of the population IFR was about 0.5%, similar to that of high-income countries, because disparities in healthcare access were roughly offset by differences in population age structure.ConclusionThe burden of COVID-19 is far higher in developing countries than in high-income countries, reflecting a combination of elevated transmission to middle-aged and older adults as well as limited access to adequate healthcare. These results underscore the critical need to ensure medical equity to populations in developing countries through provision of vaccine doses and effective medications.</description><identifier>ISSN: 2059-7908</identifier><identifier>EISSN: 2059-7908</identifier><identifier>DOI: 10.1136/bmjgh-2022-008477</identifier><identifier>PMID: 35618305</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd</publisher><subject>Age ; Aged ; Bayes Theorem ; Coronaviruses ; COVID-19 ; COVID-19 - epidemiology ; Developing Countries ; Disease transmission ; Epidemiology ; Health care ; Health Services Accessibility ; High income ; Humans ; Income ; LDCs ; Meta-analysis ; Middle Aged ; Older people ; Original Research ; Public Health ; Public Policy ; Seroepidemiologic Studies ; Serology ; Systematic review</subject><ispartof>BMJ global health, 2022-05, Vol.7 (5), p.e008477</ispartof><rights>Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2022 Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ . Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. 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Published by BMJ. 2022</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b531t-8c3b2be075f7d448c66b4cef119bb401beb8b0638d7c2b9e177dffed30f490a23</citedby><cites>FETCH-LOGICAL-b531t-8c3b2be075f7d448c66b4cef119bb401beb8b0638d7c2b9e177dffed30f490a23</cites><orcidid>0000-0001-6146-1247 ; 0000-0002-2594-5778 ; 0000-0001-8450-7025 ; 0000-0002-1136-6900 ; 0000-0002-1156-9345</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://gh.bmj.com/content/7/5/e008477.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://gh.bmj.com/content/7/5/e008477.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27901,27902,53766,53768,55325,77402,77428</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/35618305$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Levin, Andrew T</creatorcontrib><creatorcontrib>Owusu-Boaitey, Nana</creatorcontrib><creatorcontrib>Pugh, Sierra</creatorcontrib><creatorcontrib>Fosdick, Bailey K</creatorcontrib><creatorcontrib>Zwi, Anthony B</creatorcontrib><creatorcontrib>Malani, Anup</creatorcontrib><creatorcontrib>Soman, Satej</creatorcontrib><creatorcontrib>Besançon, Lonni</creatorcontrib><creatorcontrib>Kashnitsky, Ilya</creatorcontrib><creatorcontrib>Ganesh, Sachin</creatorcontrib><creatorcontrib>McLaughlin, Aloysius</creatorcontrib><creatorcontrib>Song, Gayeong</creatorcontrib><creatorcontrib>Uhm, Rine</creatorcontrib><creatorcontrib>Herrera-Esposito, Daniel</creatorcontrib><creatorcontrib>de los Campos, Gustavo</creatorcontrib><creatorcontrib>Peçanha Antonio, Ana Carolina Pecanha</creatorcontrib><creatorcontrib>Tadese, Enyew Birru</creatorcontrib><creatorcontrib>Meyerowitz-Katz, Gideon</creatorcontrib><title>Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications</title><title>BMJ global health</title><addtitle>BMJ Glob Health</addtitle><addtitle>BMJ Global Health</addtitle><addtitle>BMJ Glob Health</addtitle><description>IntroductionThe infection fatality rate (IFR) of COVID-19 has been carefully measured and analysed in high-income countries, whereas there has been no systematic analysis of age-specific seroprevalence or IFR for developing countries.MethodsWe systematically reviewed the literature to identify all COVID-19 serology studies in developing countries that were conducted using representative samples collected by February 2021. For each of the antibody assays used in these serology studies, we identified data on assay characteristics, including the extent of seroreversion over time. We analysed the serology data using a Bayesian model that incorporates conventional sampling uncertainty as well as uncertainties about assay sensitivity and specificity. We then calculated IFRs using individual case reports or aggregated public health updates, including age-specific estimates whenever feasible.ResultsIn most locations in developing countries, seroprevalence among older adults was similar to that of younger age cohorts, underscoring the limited capacity that these nations have to protect older age groups.Age-specific IFRs were roughly 2 times higher than in high-income countries. The median value of the population IFR was about 0.5%, similar to that of high-income countries, because disparities in healthcare access were roughly offset by differences in population age structure.ConclusionThe burden of COVID-19 is far higher in developing countries than in high-income countries, reflecting a combination of elevated transmission to middle-aged and older adults as well as limited access to adequate healthcare. These results underscore the critical need to ensure medical equity to populations in developing countries through provision of vaccine doses and effective medications.</description><subject>Age</subject><subject>Aged</subject><subject>Bayes Theorem</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>COVID-19 - epidemiology</subject><subject>Developing Countries</subject><subject>Disease transmission</subject><subject>Epidemiology</subject><subject>Health care</subject><subject>Health Services Accessibility</subject><subject>High income</subject><subject>Humans</subject><subject>Income</subject><subject>LDCs</subject><subject>Meta-analysis</subject><subject>Middle Aged</subject><subject>Older people</subject><subject>Original Research</subject><subject>Public Health</subject><subject>Public Policy</subject><subject>Seroepidemiologic Studies</subject><subject>Serology</subject><subject>Systematic review</subject><issn>2059-7908</issn><issn>2059-7908</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>DOA</sourceid><recordid>eNp1kk1v1DAQhiMEolXpD-CCLHHhQMAfiR1zQKqWr5Uq9QJcLdsZ73qVxIudbJV_j3dTSovExWPZz7zjGb9F8ZLgd4Qw_t70u822pJjSEuOmEuJJcU5xLUshcfP0wf6suExphzEmIi-YPy_OWM1Jw3B9XsxXKUFKftigcQvITLGFAQWHVjc_159KIpEfUAsH6ML-CNkwDWP0kD6gNKcRej16iyIcPNy-RT2MutSD7ubkE9JDi_aT6TKwD3mdke_3OeaUMKQXxTOnuwSXd_Gi-PHl8_fVt_L65ut6dXVdmpqRsWwsM9QAFrUTbVU1lnNTWXCESGMqTAyYxmDOmlZYaiQQIVrnoGXYVRJryi6K9aLbBr1T--h7HWcVtFengxA3SsfcRAeKEKqJYRqzPFDnjMaGE8GkA5trE561Pi5aua0eWgt5Frp7JPr4ZvBbtQkHJfOPcVlngTd3AjH8miCNqvfJQtfpAcKUFOWCUN5wfkRf_4PuwhTzbE8U5XXdVDJTZKFsDClFcPePIVgdfaJOPlFHn6jFJznn1cMu7jP-uCID5QLk3L9V_y_4Gw7Gya8</recordid><startdate>20220501</startdate><enddate>20220501</enddate><creator>Levin, Andrew T</creator><creator>Owusu-Boaitey, Nana</creator><creator>Pugh, Sierra</creator><creator>Fosdick, Bailey K</creator><creator>Zwi, Anthony B</creator><creator>Malani, Anup</creator><creator>Soman, Satej</creator><creator>Besançon, Lonni</creator><creator>Kashnitsky, Ilya</creator><creator>Ganesh, Sachin</creator><creator>McLaughlin, Aloysius</creator><creator>Song, Gayeong</creator><creator>Uhm, Rine</creator><creator>Herrera-Esposito, Daniel</creator><creator>de los Campos, Gustavo</creator><creator>Peçanha Antonio, Ana Carolina Pecanha</creator><creator>Tadese, Enyew Birru</creator><creator>Meyerowitz-Katz, Gideon</creator><general>BMJ Publishing Group Ltd</general><general>BMJ Publishing Group LTD</general><general>BMJ Publishing Group</general><scope>9YT</scope><scope>ACMMV</scope><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>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6146-1247</orcidid><orcidid>https://orcid.org/0000-0002-2594-5778</orcidid><orcidid>https://orcid.org/0000-0001-8450-7025</orcidid><orcidid>https://orcid.org/0000-0002-1136-6900</orcidid><orcidid>https://orcid.org/0000-0002-1156-9345</orcidid></search><sort><creationdate>20220501</creationdate><title>Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications</title><author>Levin, Andrew T ; Owusu-Boaitey, Nana ; Pugh, Sierra ; Fosdick, Bailey K ; Zwi, Anthony B ; Malani, Anup ; Soman, Satej ; Besançon, Lonni ; Kashnitsky, Ilya ; Ganesh, Sachin ; McLaughlin, Aloysius ; Song, Gayeong ; Uhm, Rine ; Herrera-Esposito, Daniel ; de los Campos, Gustavo ; Peçanha Antonio, Ana Carolina Pecanha ; Tadese, Enyew Birru ; Meyerowitz-Katz, Gideon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b531t-8c3b2be075f7d448c66b4cef119bb401beb8b0638d7c2b9e177dffed30f490a23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Age</topic><topic>Aged</topic><topic>Bayes Theorem</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>COVID-19 - epidemiology</topic><topic>Developing Countries</topic><topic>Disease transmission</topic><topic>Epidemiology</topic><topic>Health care</topic><topic>Health Services Accessibility</topic><topic>High income</topic><topic>Humans</topic><topic>Income</topic><topic>LDCs</topic><topic>Meta-analysis</topic><topic>Middle Aged</topic><topic>Older people</topic><topic>Original Research</topic><topic>Public Health</topic><topic>Public Policy</topic><topic>Seroepidemiologic Studies</topic><topic>Serology</topic><topic>Systematic review</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Levin, Andrew T</creatorcontrib><creatorcontrib>Owusu-Boaitey, Nana</creatorcontrib><creatorcontrib>Pugh, Sierra</creatorcontrib><creatorcontrib>Fosdick, Bailey K</creatorcontrib><creatorcontrib>Zwi, Anthony B</creatorcontrib><creatorcontrib>Malani, Anup</creatorcontrib><creatorcontrib>Soman, Satej</creatorcontrib><creatorcontrib>Besançon, Lonni</creatorcontrib><creatorcontrib>Kashnitsky, Ilya</creatorcontrib><creatorcontrib>Ganesh, Sachin</creatorcontrib><creatorcontrib>McLaughlin, Aloysius</creatorcontrib><creatorcontrib>Song, Gayeong</creatorcontrib><creatorcontrib>Uhm, Rine</creatorcontrib><creatorcontrib>Herrera-Esposito, Daniel</creatorcontrib><creatorcontrib>de los Campos, Gustavo</creatorcontrib><creatorcontrib>Peçanha Antonio, Ana Carolina Pecanha</creatorcontrib><creatorcontrib>Tadese, Enyew Birru</creatorcontrib><creatorcontrib>Meyerowitz-Katz, Gideon</creatorcontrib><collection>BMJ Open Access Journals</collection><collection>BMJ Journals:Open Access</collection><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>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</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)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Nursing & Allied Health Premium</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>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>BMJ global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Levin, Andrew T</au><au>Owusu-Boaitey, Nana</au><au>Pugh, Sierra</au><au>Fosdick, Bailey K</au><au>Zwi, Anthony B</au><au>Malani, Anup</au><au>Soman, Satej</au><au>Besançon, Lonni</au><au>Kashnitsky, Ilya</au><au>Ganesh, Sachin</au><au>McLaughlin, Aloysius</au><au>Song, Gayeong</au><au>Uhm, Rine</au><au>Herrera-Esposito, Daniel</au><au>de los Campos, Gustavo</au><au>Peçanha Antonio, Ana Carolina Pecanha</au><au>Tadese, Enyew Birru</au><au>Meyerowitz-Katz, Gideon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications</atitle><jtitle>BMJ global health</jtitle><stitle>BMJ Glob Health</stitle><stitle>BMJ Global Health</stitle><addtitle>BMJ Glob Health</addtitle><date>2022-05-01</date><risdate>2022</risdate><volume>7</volume><issue>5</issue><spage>e008477</spage><pages>e008477-</pages><issn>2059-7908</issn><eissn>2059-7908</eissn><abstract>IntroductionThe infection fatality rate (IFR) of COVID-19 has been carefully measured and analysed in high-income countries, whereas there has been no systematic analysis of age-specific seroprevalence or IFR for developing countries.MethodsWe systematically reviewed the literature to identify all COVID-19 serology studies in developing countries that were conducted using representative samples collected by February 2021. For each of the antibody assays used in these serology studies, we identified data on assay characteristics, including the extent of seroreversion over time. We analysed the serology data using a Bayesian model that incorporates conventional sampling uncertainty as well as uncertainties about assay sensitivity and specificity. We then calculated IFRs using individual case reports or aggregated public health updates, including age-specific estimates whenever feasible.ResultsIn most locations in developing countries, seroprevalence among older adults was similar to that of younger age cohorts, underscoring the limited capacity that these nations have to protect older age groups.Age-specific IFRs were roughly 2 times higher than in high-income countries. The median value of the population IFR was about 0.5%, similar to that of high-income countries, because disparities in healthcare access were roughly offset by differences in population age structure.ConclusionThe burden of COVID-19 is far higher in developing countries than in high-income countries, reflecting a combination of elevated transmission to middle-aged and older adults as well as limited access to adequate healthcare. These results underscore the critical need to ensure medical equity to populations in developing countries through provision of vaccine doses and effective medications.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd</pub><pmid>35618305</pmid><doi>10.1136/bmjgh-2022-008477</doi><orcidid>https://orcid.org/0000-0001-6146-1247</orcidid><orcidid>https://orcid.org/0000-0002-2594-5778</orcidid><orcidid>https://orcid.org/0000-0001-8450-7025</orcidid><orcidid>https://orcid.org/0000-0002-1136-6900</orcidid><orcidid>https://orcid.org/0000-0002-1156-9345</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Age Aged Bayes Theorem Coronaviruses COVID-19 COVID-19 - epidemiology Developing Countries Disease transmission Epidemiology Health care Health Services Accessibility High income Humans Income LDCs Meta-analysis Middle Aged Older people Original Research Public Health Public Policy Seroepidemiologic Studies Serology Systematic review |
title | Assessing the burden of COVID-19 in developing countries: systematic review, meta-analysis and public policy implications |
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