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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
Main Authors: 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
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cited_by cdi_FETCH-LOGICAL-b531t-8c3b2be075f7d448c66b4cef119bb401beb8b0638d7c2b9e177dffed30f490a23
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container_issue 5
container_start_page e008477
container_title BMJ global health
container_volume 7
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.
doi_str_mv 10.1136/bmjgh-2022-008477
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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 ; 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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.</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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source BMJ Open Access Journals; PubMed Central
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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