Analysing COVID-19 outcomes in the context of the 2019 Global Health Security (GHS) Index
IntroductionThe Global Health Security Index benchmarks countries’ capacities to carry out the functions necessary to prevent, detect and respond to biological threats. The COVID-19 pandemic served as an opportunity to evaluate whether the Index contained the correct array of variables that influenc...
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description | IntroductionThe Global Health Security Index benchmarks countries’ capacities to carry out the functions necessary to prevent, detect and respond to biological threats. The COVID-19 pandemic served as an opportunity to evaluate whether the Index contained the correct array of variables that influence countries’ abilities to respond to these threats; assess additional variables that may influence preparedness; and examine how the impact of preparedness components change during public health crises.MethodsLinear regression models were examined to determine the relationship between excess mortality per capita for the first 500 days of countries’ COVID-19 pandemic and internal Index variables, as well as external variables including social cohesion; island status; perceived corruption; elderly population size; previous epidemic experience; stringency of non-pharmaceutical interventions; and social and political polarisation.ResultsCOVID-19 outcomes were significantly associated with sociodemographic, political and governance variables external to the 2019 Index: social cohesion, reduction in social polarisation and reduced perceptions of corruption were consistently correlated with reduced excess mortality throughout the pandemic. The association of other variables assessed by the Index, like epidemiological workforce robustness, changed over time. Fixed country features, including geographic connectedness, larger elderly population and lack of prior coronavirus outbreak experience were detrimental to COVID-19 outcomes. Finally, there was evidence that countries that lacked certain capacities were able to develop these over the course of the pandemic.ConclusionsAdditional sociodemographic, political and governance variables should be included in future indices to improve their ability to characterise preparedness. Fixed characteristics, while not directly addressable, are useful for establishing countries’ inherent risk profile and can motivate those at greater risk to invest in preparedness. Particular components of preparedness vary in their impact on outcomes over the course of the pandemic, which may inform resource direction during ongoing crises. Future research should seek to further characterise time-dependent impacts as additional COVID-19 outcome data become available. |
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The COVID-19 pandemic served as an opportunity to evaluate whether the Index contained the correct array of variables that influence countries’ abilities to respond to these threats; assess additional variables that may influence preparedness; and examine how the impact of preparedness components change during public health crises.MethodsLinear regression models were examined to determine the relationship between excess mortality per capita for the first 500 days of countries’ COVID-19 pandemic and internal Index variables, as well as external variables including social cohesion; island status; perceived corruption; elderly population size; previous epidemic experience; stringency of non-pharmaceutical interventions; and social and political polarisation.ResultsCOVID-19 outcomes were significantly associated with sociodemographic, political and governance variables external to the 2019 Index: social cohesion, reduction in social polarisation and reduced perceptions of corruption were consistently correlated with reduced excess mortality throughout the pandemic. The association of other variables assessed by the Index, like epidemiological workforce robustness, changed over time. Fixed country features, including geographic connectedness, larger elderly population and lack of prior coronavirus outbreak experience were detrimental to COVID-19 outcomes. Finally, there was evidence that countries that lacked certain capacities were able to develop these over the course of the pandemic.ConclusionsAdditional sociodemographic, political and governance variables should be included in future indices to improve their ability to characterise preparedness. Fixed characteristics, while not directly addressable, are useful for establishing countries’ inherent risk profile and can motivate those at greater risk to invest in preparedness. Particular components of preparedness vary in their impact on outcomes over the course of the pandemic, which may inform resource direction during ongoing crises. Future research should seek to further characterise time-dependent impacts as additional COVID-19 outcome data become available.</description><identifier>ISSN: 2059-7908</identifier><identifier>EISSN: 2059-7908</identifier><identifier>DOI: 10.1136/bmjgh-2021-007581</identifier><identifier>PMID: 34893478</identifier><language>eng</language><publisher>England: BMJ Publishing Group Ltd</publisher><subject>Aged ; Benchmarks ; Cohesion ; Coronaviruses ; Corruption ; COVID-19 ; Fire alarms ; Global Health ; health systems evaluation ; Humans ; Infectious diseases ; Jurisdiction ; Mortality ; Original Research ; Pandemics ; Pandemics - prevention & control ; Politics ; Population number ; Public health ; SARS-CoV-2 ; Social Cohesion ; Variables</subject><ispartof>BMJ global health, 2021-12, Vol.6 (12), p.e007581</ispartof><rights>Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.</rights><rights>2021 Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 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)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-b465t-5285d7520d76b8d5b5116ae7d070f200f9b4563989f11154ebb48471bd6584fd3</citedby><cites>FETCH-LOGICAL-b465t-5285d7520d76b8d5b5116ae7d070f200f9b4563989f11154ebb48471bd6584fd3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://gh.bmj.com/content/6/12/e007581.full.pdf$$EPDF$$P50$$Gbmj$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://gh.bmj.com/content/6/12/e007581.full$$EHTML$$P50$$Gbmj$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768,55325,77403,77429</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34893478$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Rose, Sophie M</creatorcontrib><creatorcontrib>Paterra, Michael</creatorcontrib><creatorcontrib>Isaac, Christopher</creatorcontrib><creatorcontrib>Bell, Jessica</creatorcontrib><creatorcontrib>Stucke, Amanda</creatorcontrib><creatorcontrib>Hagens, Arnold</creatorcontrib><creatorcontrib>Tyrrell, Sarah</creatorcontrib><creatorcontrib>Guterbock, Michael</creatorcontrib><creatorcontrib>Nuzzo, Jennifer B</creatorcontrib><title>Analysing COVID-19 outcomes in the context of the 2019 Global Health Security (GHS) Index</title><title>BMJ global health</title><addtitle>BMJ Glob Health</addtitle><addtitle>BMJ Global Health</addtitle><addtitle>BMJ Glob Health</addtitle><description>IntroductionThe Global Health Security Index benchmarks countries’ capacities to carry out the functions necessary to prevent, detect and respond to biological threats. The COVID-19 pandemic served as an opportunity to evaluate whether the Index contained the correct array of variables that influence countries’ abilities to respond to these threats; assess additional variables that may influence preparedness; and examine how the impact of preparedness components change during public health crises.MethodsLinear regression models were examined to determine the relationship between excess mortality per capita for the first 500 days of countries’ COVID-19 pandemic and internal Index variables, as well as external variables including social cohesion; island status; perceived corruption; elderly population size; previous epidemic experience; stringency of non-pharmaceutical interventions; and social and political polarisation.ResultsCOVID-19 outcomes were significantly associated with sociodemographic, political and governance variables external to the 2019 Index: social cohesion, reduction in social polarisation and reduced perceptions of corruption were consistently correlated with reduced excess mortality throughout the pandemic. The association of other variables assessed by the Index, like epidemiological workforce robustness, changed over time. Fixed country features, including geographic connectedness, larger elderly population and lack of prior coronavirus outbreak experience were detrimental to COVID-19 outcomes. Finally, there was evidence that countries that lacked certain capacities were able to develop these over the course of the pandemic.ConclusionsAdditional sociodemographic, political and governance variables should be included in future indices to improve their ability to characterise preparedness. Fixed characteristics, while not directly addressable, are useful for establishing countries’ inherent risk profile and can motivate those at greater risk to invest in preparedness. Particular components of preparedness vary in their impact on outcomes over the course of the pandemic, which may inform resource direction during ongoing crises. Future research should seek to further characterise time-dependent impacts as additional COVID-19 outcome data become available.</description><subject>Aged</subject><subject>Benchmarks</subject><subject>Cohesion</subject><subject>Coronaviruses</subject><subject>Corruption</subject><subject>COVID-19</subject><subject>Fire alarms</subject><subject>Global Health</subject><subject>health systems evaluation</subject><subject>Humans</subject><subject>Infectious diseases</subject><subject>Jurisdiction</subject><subject>Mortality</subject><subject>Original Research</subject><subject>Pandemics</subject><subject>Pandemics - prevention & control</subject><subject>Politics</subject><subject>Population number</subject><subject>Public health</subject><subject>SARS-CoV-2</subject><subject>Social Cohesion</subject><subject>Variables</subject><issn>2059-7908</issn><issn>2059-7908</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>9YT</sourceid><sourceid>ACMMV</sourceid><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNp1kUtP3DAUhS1EBQj4Ad0gS2zoInDtxK8NEpqWmZGQWEArdWXZiTOTURJD7CDm39fMUAqV2Pih-53je30Q-krgnJCcX9hutVhmFCjJAASTZAcdUGAqEwrk7rvzPjoOYQUARKQF-B7azwup8kLIA_T7qjftOjT9Ak9uf82_Z0RhP8bSdy7gpsdx6XDp--ieI_b15kohMdPWW9PimTNtXOI7V45DE9f4bDq7-4bnfeWej9CX2rTBHb_uh-jn9Y_7ySy7uZ3OJ1c3mS04ixmjklWCUagEt7JilhHCjRMVCKgpQK1swXiupKoJIaxw1hayEMRWnMmirvJDdLn1fRht56rS9XEwrX4Yms4Ma-1Noz9W-mapF_5JK-BMCEgGZ68Gg38cXYi6a0Lp2tb0zo9BUw4qtcAoS-jpf-jKj0P6wQ0lueKSkkSRLVUOPoTB1W_NENAv2elNdvolO73NLmlO3k_xpvibVAKyLZC0_1793PAPt5igfA</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Rose, Sophie M</creator><creator>Paterra, Michael</creator><creator>Isaac, Christopher</creator><creator>Bell, Jessica</creator><creator>Stucke, Amanda</creator><creator>Hagens, Arnold</creator><creator>Tyrrell, Sarah</creator><creator>Guterbock, Michael</creator><creator>Nuzzo, Jennifer B</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></search><sort><creationdate>20211201</creationdate><title>Analysing COVID-19 outcomes in the context of the 2019 Global Health Security (GHS) Index</title><author>Rose, Sophie M ; Paterra, Michael ; Isaac, Christopher ; Bell, Jessica ; Stucke, Amanda ; Hagens, Arnold ; Tyrrell, Sarah ; Guterbock, Michael ; Nuzzo, Jennifer B</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-b465t-5285d7520d76b8d5b5116ae7d070f200f9b4563989f11154ebb48471bd6584fd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Aged</topic><topic>Benchmarks</topic><topic>Cohesion</topic><topic>Coronaviruses</topic><topic>Corruption</topic><topic>COVID-19</topic><topic>Fire alarms</topic><topic>Global Health</topic><topic>health systems evaluation</topic><topic>Humans</topic><topic>Infectious diseases</topic><topic>Jurisdiction</topic><topic>Mortality</topic><topic>Original Research</topic><topic>Pandemics</topic><topic>Pandemics - prevention & control</topic><topic>Politics</topic><topic>Population number</topic><topic>Public health</topic><topic>SARS-CoV-2</topic><topic>Social Cohesion</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rose, Sophie M</creatorcontrib><creatorcontrib>Paterra, Michael</creatorcontrib><creatorcontrib>Isaac, Christopher</creatorcontrib><creatorcontrib>Bell, Jessica</creatorcontrib><creatorcontrib>Stucke, Amanda</creatorcontrib><creatorcontrib>Hagens, Arnold</creatorcontrib><creatorcontrib>Tyrrell, Sarah</creatorcontrib><creatorcontrib>Guterbock, Michael</creatorcontrib><creatorcontrib>Nuzzo, Jennifer B</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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</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><jtitle>BMJ global health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rose, Sophie M</au><au>Paterra, Michael</au><au>Isaac, Christopher</au><au>Bell, Jessica</au><au>Stucke, Amanda</au><au>Hagens, Arnold</au><au>Tyrrell, Sarah</au><au>Guterbock, Michael</au><au>Nuzzo, Jennifer B</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Analysing COVID-19 outcomes in the context of the 2019 Global Health Security (GHS) Index</atitle><jtitle>BMJ global health</jtitle><stitle>BMJ Glob Health</stitle><stitle>BMJ Global Health</stitle><addtitle>BMJ Glob Health</addtitle><date>2021-12-01</date><risdate>2021</risdate><volume>6</volume><issue>12</issue><spage>e007581</spage><pages>e007581-</pages><issn>2059-7908</issn><eissn>2059-7908</eissn><abstract>IntroductionThe Global Health Security Index benchmarks countries’ capacities to carry out the functions necessary to prevent, detect and respond to biological threats. The COVID-19 pandemic served as an opportunity to evaluate whether the Index contained the correct array of variables that influence countries’ abilities to respond to these threats; assess additional variables that may influence preparedness; and examine how the impact of preparedness components change during public health crises.MethodsLinear regression models were examined to determine the relationship between excess mortality per capita for the first 500 days of countries’ COVID-19 pandemic and internal Index variables, as well as external variables including social cohesion; island status; perceived corruption; elderly population size; previous epidemic experience; stringency of non-pharmaceutical interventions; and social and political polarisation.ResultsCOVID-19 outcomes were significantly associated with sociodemographic, political and governance variables external to the 2019 Index: social cohesion, reduction in social polarisation and reduced perceptions of corruption were consistently correlated with reduced excess mortality throughout the pandemic. The association of other variables assessed by the Index, like epidemiological workforce robustness, changed over time. Fixed country features, including geographic connectedness, larger elderly population and lack of prior coronavirus outbreak experience were detrimental to COVID-19 outcomes. Finally, there was evidence that countries that lacked certain capacities were able to develop these over the course of the pandemic.ConclusionsAdditional sociodemographic, political and governance variables should be included in future indices to improve their ability to characterise preparedness. Fixed characteristics, while not directly addressable, are useful for establishing countries’ inherent risk profile and can motivate those at greater risk to invest in preparedness. Particular components of preparedness vary in their impact on outcomes over the course of the pandemic, which may inform resource direction during ongoing crises. Future research should seek to further characterise time-dependent impacts as additional COVID-19 outcome data become available.</abstract><cop>England</cop><pub>BMJ Publishing Group Ltd</pub><pmid>34893478</pmid><doi>10.1136/bmjgh-2021-007581</doi><oa>free_for_read</oa></addata></record> |
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subjects | Aged Benchmarks Cohesion Coronaviruses Corruption COVID-19 Fire alarms Global Health health systems evaluation Humans Infectious diseases Jurisdiction Mortality Original Research Pandemics Pandemics - prevention & control Politics Population number Public health SARS-CoV-2 Social Cohesion Variables |
title | Analysing COVID-19 outcomes in the context of the 2019 Global Health Security (GHS) Index |
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