Pandemic preparedness improves national-level SARS-CoV-2 infection and mortality data completeness: a cross-country ecologic analysis.
Popul Health Metr
; 22(1): 12, 2024 Jun 15.
Article
en En
| MEDLINE
| ID: mdl-38879515
ABSTRACT
BACKGROUND:
Heterogeneity in national SARS-CoV-2 infection surveillance capabilities may compromise global enumeration and tracking of COVID-19 cases and deaths and bias analyses of the pandemic's tolls. Taking account of heterogeneity in data completeness may thus help clarify analyses of the relationship between COVID-19 outcomes and standard preparedness measures.METHODS:
We examined country-level associations of pandemic preparedness capacities inventories, from the Global Health Security (GHS) Index and Joint External Evaluation (JEE), on SARS-CoV-2 infection and COVID-19 death data completion rates adjusted for income. Analyses were stratified by 100, 100-300, 300-500, and 500-700 days after the first reported case in each country. We subsequently reevaluated the relationship of pandemic preparedness on SARS-CoV-2 infection and age-standardized COVID-19 death rates adjusted for cross-country differentials in data completeness during the pre-vaccine era.RESULTS:
Every 10% increase in the GHS Index was associated with a 14.9% (95% confidence interval 8.34-21.8%) increase in SARS-CoV-2 infection completion rate and a 10.6% (5.91-15.4%) increase in the death completion rate during the entire observation period. Disease prevention (infections ß = 1.08 [1.05-1.10], deaths ß = 1.05 [1.04-1.07]), detection (infections ß = 1.04 [1.01-1.06], deaths ß = 1.03 [1.01-1.05]), response (infections ß = 1.06 [1.00-1.13], deaths ß = 1.05 [1.00-1.10]), health system (infections ß = 1.06 [1.03-1.10], deaths ß = 1.05 [1.03-1.07]), and risk environment (infections ß = 1.27 [1.15-1.41], deaths ß = 1.15 [1.08-1.23]) were associated with both data completeness outcomes. Effect sizes of GHS Index on infection completion (Low income ß = 1.18 [1.04-1.34], Lower Middle income ß = 1.41 [1.16-1.71]) and death completion rates (Low income ß = 1.19 [1.09-1.31], Lower Middle income ß = 1.25 [1.10-1.43]) were largest in LMICs. After adjustment for cross-country differences in data completeness, each 10% increase in the GHS Index was associated with a 13.5% (4.80-21.4%) decrease in SARS-CoV-2 infection rate at 100 days and a 9.10 (1.07-16.5%) decrease at 300 days. For age-standardized COVID-19 death rates, each 10% increase in the GHS Index was with a 15.7% (5.19-25.0%) decrease at 100 days and a 10.3% (- 0.00-19.5%) decrease at 300 days.CONCLUSIONS:
Results support the pre-pandemic hypothesis that countries with greater pandemic preparedness capacities have larger SARS-CoV-2 infection and mortality data completeness rates and lower COVID-19 disease burdens. More high-quality data of COVID-19 impact based on direct measurement are needed.Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Salud Global
/
COVID-19
/
Preparación para una Pandemia
Límite:
Humans
Idioma:
En
Revista:
Popul Health Metr
Año:
2024
Tipo del documento:
Article
País de afiliación:
Estados Unidos
Pais de publicación:
Reino Unido