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Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics

The Joint External Evaluation (JEE) assesses national capacities to implement the International Health Regulations (IHR). Previous studies have found that higher JEE scores are associated with fewer communicable disease deaths. But given the impact of COVID-19 in many countries, including those beli...

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Autores principales: Jain, Vageesh, Sharp, Ashley, Neilson, Matthew, Bausch, Daniel G., Beaney, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021717/
https://www.ncbi.nlm.nih.gov/pubmed/36962712
http://dx.doi.org/10.1371/journal.pgph.0000246
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author Jain, Vageesh
Sharp, Ashley
Neilson, Matthew
Bausch, Daniel G.
Beaney, Thomas
author_facet Jain, Vageesh
Sharp, Ashley
Neilson, Matthew
Bausch, Daniel G.
Beaney, Thomas
author_sort Jain, Vageesh
collection PubMed
description The Joint External Evaluation (JEE) assesses national capacities to implement the International Health Regulations (IHR). Previous studies have found that higher JEE scores are associated with fewer communicable disease deaths. But given the impact of COVID-19 in many countries, including those believed to have developed IHR capacities, the validity of the JEE for pandemic preparedness has been questioned. We constructed univariable and multivariable linear regression models to investigate the relationship between JEE scores and i) deaths from communicable diseases before the pandemic and ii) deaths from COVID-19. We adjusted for country differences in age, health system access, national wealth, health expenditure, democratic governance, government restrictions, pre-pandemic tourist arrivals and testing capacity (estimated by test positivity rates). For COVID-19 deaths, we calculated cumulative deaths per 100,000 at 3, 6 and 12 months into the pandemic. A total of 91 countries were included, with a median JEE score of 50%. On multivariable linear regression the association between JEE scores and log COVID-19 deaths was significant and positive at 3 months (β 0.05, p = 0.02), becoming statistically non-significant, at 6 (β 0.02, p = 0.27) and 12 months (β -0.03, p = 0.19), while the association with log communicable disease deaths was significant and negative (β -0.03, p = 0.003). A higher Stringency Index was significantly associated with higher log COVID-19 deaths at 3 (β 0.04, p = 0.003) and 6 (β 0.04, p = 0.001) months, but not at 12 months (β 0.02, p = 0.08). Higher test positivity rates were associated with higher log COVID-19 deaths at all time points, at least partially attenuating the positive association between Stringency Index and log COVID-19 deaths. While universal health coverage indices (β -0.04 p<0.001) and international tourist arrivals were associated with log communicable disease deaths (β 0.02, p = 0.002), they were not associated with log COVID-19 deaths. Although the same tool is used to assess capacities for both epidemics and pandemics, the JEE may be better suited to small outbreaks of known diseases, compared to pandemics of unknown pathogens.
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spelling pubmed-100217172023-03-17 Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics Jain, Vageesh Sharp, Ashley Neilson, Matthew Bausch, Daniel G. Beaney, Thomas PLOS Glob Public Health Research Article The Joint External Evaluation (JEE) assesses national capacities to implement the International Health Regulations (IHR). Previous studies have found that higher JEE scores are associated with fewer communicable disease deaths. But given the impact of COVID-19 in many countries, including those believed to have developed IHR capacities, the validity of the JEE for pandemic preparedness has been questioned. We constructed univariable and multivariable linear regression models to investigate the relationship between JEE scores and i) deaths from communicable diseases before the pandemic and ii) deaths from COVID-19. We adjusted for country differences in age, health system access, national wealth, health expenditure, democratic governance, government restrictions, pre-pandemic tourist arrivals and testing capacity (estimated by test positivity rates). For COVID-19 deaths, we calculated cumulative deaths per 100,000 at 3, 6 and 12 months into the pandemic. A total of 91 countries were included, with a median JEE score of 50%. On multivariable linear regression the association between JEE scores and log COVID-19 deaths was significant and positive at 3 months (β 0.05, p = 0.02), becoming statistically non-significant, at 6 (β 0.02, p = 0.27) and 12 months (β -0.03, p = 0.19), while the association with log communicable disease deaths was significant and negative (β -0.03, p = 0.003). A higher Stringency Index was significantly associated with higher log COVID-19 deaths at 3 (β 0.04, p = 0.003) and 6 (β 0.04, p = 0.001) months, but not at 12 months (β 0.02, p = 0.08). Higher test positivity rates were associated with higher log COVID-19 deaths at all time points, at least partially attenuating the positive association between Stringency Index and log COVID-19 deaths. While universal health coverage indices (β -0.04 p<0.001) and international tourist arrivals were associated with log communicable disease deaths (β 0.02, p = 0.002), they were not associated with log COVID-19 deaths. Although the same tool is used to assess capacities for both epidemics and pandemics, the JEE may be better suited to small outbreaks of known diseases, compared to pandemics of unknown pathogens. Public Library of Science 2022-08-11 /pmc/articles/PMC10021717/ /pubmed/36962712 http://dx.doi.org/10.1371/journal.pgph.0000246 Text en © 2022 Jain et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Jain, Vageesh
Sharp, Ashley
Neilson, Matthew
Bausch, Daniel G.
Beaney, Thomas
Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics
title Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics
title_full Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics
title_fullStr Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics
title_full_unstemmed Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics
title_short Joint External Evaluation scores and communicable disease deaths: An ecological study on the difference between epidemics and pandemics
title_sort joint external evaluation scores and communicable disease deaths: an ecological study on the difference between epidemics and pandemics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021717/
https://www.ncbi.nlm.nih.gov/pubmed/36962712
http://dx.doi.org/10.1371/journal.pgph.0000246
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