The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysis.

ABSTRACT:

Background

We conducted a distributed lag non-linear time series analysis to quantify the association between air pollution and scarlet fever in Qingdao city during 2014-2018.

Methods

A distributed lag non-linear model (DLNM) combined with a generalized additive mixed model (GAMM) was applied to quantify the distributed lag effects of air pollutions on scarlet fever, with daily incidence of scarlet fever as the dependent variable and air pollutions as the independent variable adjusted for potential confounders.

Results

A total of 6316 cases of scarlet fever were notified, and there were 376 days occurring air pollution during the study period. Scarlet fever was significantly associated with air pollutions at a lag of 7 days with different relative risk (RR) of air pol

SUBMITTER: Jiang F 

PROVIDER: S-EPMC8456591 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature