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Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure
BACKGROUND: Previous studies have observed that countries with the strongest levels of pandemic preparedness capacities experience the greatest levels of COVID-19 burden. However, these analyses have been limited by cross-country differentials in surveillance system quality and demographics. Here, w...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335545/ https://www.ncbi.nlm.nih.gov/pubmed/37414431 http://dx.doi.org/10.1136/bmjgh-2023-012203 |
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author | Ledesma, Jorge Ricardo Isaac, Christopher R Dowell, Scott F Blazes, David L Essix, Gabrielle V Budeski, Katherine Bell, Jessica Nuzzo, Jennifer B |
author_facet | Ledesma, Jorge Ricardo Isaac, Christopher R Dowell, Scott F Blazes, David L Essix, Gabrielle V Budeski, Katherine Bell, Jessica Nuzzo, Jennifer B |
author_sort | Ledesma, Jorge Ricardo |
collection | PubMed |
description | BACKGROUND: Previous studies have observed that countries with the strongest levels of pandemic preparedness capacities experience the greatest levels of COVID-19 burden. However, these analyses have been limited by cross-country differentials in surveillance system quality and demographics. Here, we address limitations of previous comparisons by exploring country-level relationships between pandemic preparedness measures and comparative mortality ratios (CMRs), a form of indirect age standardisation, of excess COVID-19 mortality. METHODS: We indirectly age standardised excess COVID-19 mortality, from the Institute for Health Metrics and Evaluation modelling database, by comparing observed total excess mortality to an expected age-specific COVID-19 mortality rate from a reference country to derive CMRs. We then linked CMRs with data on country-level measures of pandemic preparedness from the Global Health Security (GHS) Index. These data were used as input into multivariable linear regression analyses that included income as a covariate and adjusted for multiple comparisons. We conducted a sensitivity analysis using excess mortality estimates from WHO and The Economist. RESULTS: The GHS Index was negatively associated with excess COVID-19 CMRs (β= −0.21, 95% CI=−0.33, −0.10). Greater capacities related to prevention (β= −0.11, 95% CI= −0.20 to −0.03), detection (β=−0.09, 95% CI= −0.17 to −0.02), response (β = −0.19, 95% CI= −0.32 to −0.05), international commitments (β= −0.17, 95% CI= −0.30 to −0.04) and risk environments (β= −0.30, 95% CI= −0.42 to −0.18) were each associated with lower CMRs. After adjustment for multiple hypotheses, the GHS Index (table 2; β= −0.21, adjusted 95% CI=−0.41, −0.02) and risk environment (β= −0.30, adjusted 95% CI=−0.50, −0.10) remained associated with excess deaths. Results were not replicated using excess mortality models that rely more heavily on reported COVID-19 deaths (eg, WHO and The Economist). CONCLUSION: The first direct comparison of COVID-19 excess mortality rates across countries accounting for under-reporting and age structure confirms that greater levels of preparedness were associated with lower excess COVID-19 mortality. Additional research is needed to confirm these relationships as more robust national-level data on COVID-19 impact become available. |
format | Online Article Text |
id | pubmed-10335545 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-103355452023-07-12 Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure Ledesma, Jorge Ricardo Isaac, Christopher R Dowell, Scott F Blazes, David L Essix, Gabrielle V Budeski, Katherine Bell, Jessica Nuzzo, Jennifer B BMJ Glob Health Original Research BACKGROUND: Previous studies have observed that countries with the strongest levels of pandemic preparedness capacities experience the greatest levels of COVID-19 burden. However, these analyses have been limited by cross-country differentials in surveillance system quality and demographics. Here, we address limitations of previous comparisons by exploring country-level relationships between pandemic preparedness measures and comparative mortality ratios (CMRs), a form of indirect age standardisation, of excess COVID-19 mortality. METHODS: We indirectly age standardised excess COVID-19 mortality, from the Institute for Health Metrics and Evaluation modelling database, by comparing observed total excess mortality to an expected age-specific COVID-19 mortality rate from a reference country to derive CMRs. We then linked CMRs with data on country-level measures of pandemic preparedness from the Global Health Security (GHS) Index. These data were used as input into multivariable linear regression analyses that included income as a covariate and adjusted for multiple comparisons. We conducted a sensitivity analysis using excess mortality estimates from WHO and The Economist. RESULTS: The GHS Index was negatively associated with excess COVID-19 CMRs (β= −0.21, 95% CI=−0.33, −0.10). Greater capacities related to prevention (β= −0.11, 95% CI= −0.20 to −0.03), detection (β=−0.09, 95% CI= −0.17 to −0.02), response (β = −0.19, 95% CI= −0.32 to −0.05), international commitments (β= −0.17, 95% CI= −0.30 to −0.04) and risk environments (β= −0.30, 95% CI= −0.42 to −0.18) were each associated with lower CMRs. After adjustment for multiple hypotheses, the GHS Index (table 2; β= −0.21, adjusted 95% CI=−0.41, −0.02) and risk environment (β= −0.30, adjusted 95% CI=−0.50, −0.10) remained associated with excess deaths. Results were not replicated using excess mortality models that rely more heavily on reported COVID-19 deaths (eg, WHO and The Economist). CONCLUSION: The first direct comparison of COVID-19 excess mortality rates across countries accounting for under-reporting and age structure confirms that greater levels of preparedness were associated with lower excess COVID-19 mortality. Additional research is needed to confirm these relationships as more robust national-level data on COVID-19 impact become available. BMJ Publishing Group 2023-07-06 /pmc/articles/PMC10335545/ /pubmed/37414431 http://dx.doi.org/10.1136/bmjgh-2023-012203 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://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/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Ledesma, Jorge Ricardo Isaac, Christopher R Dowell, Scott F Blazes, David L Essix, Gabrielle V Budeski, Katherine Bell, Jessica Nuzzo, Jennifer B Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure |
title | Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure |
title_full | Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure |
title_fullStr | Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure |
title_full_unstemmed | Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure |
title_short | Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure |
title_sort | evaluation of the global health security index as a predictor of covid-19 excess mortality standardised for under-reporting and age structure |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10335545/ https://www.ncbi.nlm.nih.gov/pubmed/37414431 http://dx.doi.org/10.1136/bmjgh-2023-012203 |
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