ArticleBMC infectious diseases2021
The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysis.
Article in BMC infectious diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 17 citations in OpenAlex.
- Health risk and disease burden of daily hospitalizations for vaginitis due to air pollution: evidence from a heavily-polluted-city in China.BMC public health · 2025Article
- Seasonally modulated nonlinear effects of PMPeerJ · 2025Article
- Patterns in the Incidence of Scarlet Fever Among Children Aged 0-9 Years - China, 2010-2019.China CDC weekly · 2023Article
- Effects of Ambient Air Pollution on Precocious Puberty: A Case-Crossover Analysis in Nanjing, China.Journal of clinical medicine · 2022Article
- Spatiotemporal dynamics and potential ecological drivers of acute respiratory infectious diseases: an example of scarlet fever in Sichuan Province.BMC public health · 2022Article
- Epidemiological trend in scarlet fever incidence in China during the COVID-19 pandemic: A time series analysis.Frontiers in public health · 2022Article
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundWe 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.
methodsA 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.
resultsA 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 pollution degrees [1.172, 95% confidence interval (CI): 1.038-1.323 in mild air pollution; 1.374, 95% CI 1.078-1.749 in moderate air pollution; 1.610, 95% CI 1.163-2.314 in severe air pollution; 1.887, 95% CI 1.163-3.061 in most severe air pollution].
conclusionsOur findings show that air pollution is positively associated with scarlet fever in Qingdao, and the risk of scarlet fever could be increased along with the degrees of air pollution. It contributes to developing strategies to prevent and reduce health impact from scarlet fever and other non-vaccine-preventable respiratory infectious diseases in air polluted areas.
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