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ABSTRACT: Background/aim
In sub-Sahara Africa, few studies have investigated the short-term association between hospital admissions and ambient air pollution. Therefore, this study explored the association between multiple air pollutants and hospital admissions in Cape Town, South Africa.Methods
Generalized additive quasi-Poisson models were used within a distributed lag linear modelling framework to estimate the cumulative effects of PM10, NO2, and SO2 up to a lag of 21 days. We further conducted multi-pollutant models and stratified our analysis by age group, sex, and season.Results
The overall relative risk (95% confidence interval (CI)) for PM10, NO2, and SO2 at lag 0-1 for hospital admissions due to respir
SUBMITTER: Adebayo-Ojo TC
PROVIDER: S-EPMC8744938 | biostudies-literature | 2022 Jan
REPOSITORIES: biostudies-literature