Evaluation of the Global Health Security Index as a predictor of COVID-19 excess mortality standardised for under-reporting and age structure
BackgroundPrevious 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...
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Veröffentlicht in: | BMJ global health 2023-06, Vol.8 (7), p.e012203 |
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Zusammenfassung: | BackgroundPrevious 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.MethodsWe 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.ResultsThe GHS Index was negatively associated with excess COVID-19 CMRs (table 2; β= −0.21, 95% CI= −0.35 to −0.08). Greater capacities related to prevention (β= −0.11, 95% CI= −0.22 to −0.00), detection (β= −0.09, 95% CI= −0.19 to −0.00), response (β = −0.19, 95% CI= −0.36 to −0.01), international commitments (β= −0.17, 95% CI= −0.33 to −0.01) and risk environments (β= −0.30, 95% CI= −0.46 to −0.15) were each associated with lower CMRs. Results were not replicated using excess mortality models that rely more heavily on reported COVID-19 deaths (eg, WHO and The Economist).ConclusionThe 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. |
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ISSN: | 2059-7908 2059-7908 |
DOI: | 10.1136/bmjgh-2023-012203 |