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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Veröffentlicht in:BMJ global health 2021-12, Vol.6 (12), p.e007581
Hauptverfasser: Rose, Sophie M, Paterra, Michael, Isaac, Christopher, Bell, Jessica, Stucke, Amanda, Hagens, Arnold, Tyrrell, Sarah, Guterbock, Michael, Nuzzo, Jennifer B
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container_end_page
container_issue 12
container_start_page e007581
container_title BMJ global health
container_volume 6
creator Rose, Sophie M
Paterra, Michael
Isaac, Christopher
Bell, Jessica
Stucke, Amanda
Hagens, Arnold
Tyrrell, Sarah
Guterbock, Michael
Nuzzo, Jennifer B
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.
doi_str_mv 10.1136/bmjgh-2021-007581
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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 &amp; 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. 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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.</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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