ArticleInternational journal of environmental research and public health2016
The Association between Environmental Factors and Scarlet Fever Incidence in Beijing Region: Using GIS and Spatial Regression Models.
Article in International journal of environmental research and public health, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
18 citing papers in PubMed, 58 citations in OpenAlex.
- Scarlet fever and meteorological exposures in Jiangsu, China: a time-stratified case-crossover study.BMC public health · 2025Article
- Impact of outdoor air pollution on the incidence of pertussis in China: a time-series study.BMC public health · 2023Article
- Patterns in the Incidence of Scarlet Fever Among Children Aged 0-9 Years - China, 2010-2019.China CDC weekly · 2023Article
- Forecasting the monthly incidence of scarlet fever in Chongqing, China using the SARIMA model.Epidemiology and infection · 2022Article
- The association between ambient air pollution and scarlet fever in Qingdao, China, 2014-2018: a quantitative analysis.BMC infectious diseases · 2021Article
- Use of meteorological parameters for forecasting scarlet fever morbidity in Tianjin, Northern China.Environmental science and pollution research international · 2021Article
- Exploring the Nexus of Energy Burden, Social Capital, and Environmental Quality in Shaping Health in US Counties.International journal of environmental research and public health · 2021Article
- Models for Heart Failure Admissions and Admission Rates, 2016 through 2018.Healthcare (Basel, Switzerland) · 2020Article
- The long-term effects of meteorological parameters on pertussis infections in Chongqing, China, 2004-2018.Scientific reports · 2020Article
- Epidemiological study of scarlet fever in Shenyang, China.BMC infectious diseases · 2019Article
- A Bayesian Spatiotemporal Analysis of Pediatric Group A Streptococcal Infections.Open forum infectious diseases · 2019Article
- Analysis of the Spatial Distribution Characteristics of Urban Resilience and Its Influencing Factors: A Case Study of 56 Cities in China.International journal of environmental research and public health · 2019Article
- Analysis of Epidemiological Characteristics of Scarlet Fever in Zhejiang Province, China, 2004-2018.International journal of environmental research and public health · 2019Article
- Health impact of climate change in cities of middle-income countries: the case of China.British medical bulletin · 2019Review
- Spatial Accessibility to Primary Healthcare Services by Multimodal Means of Travel: Synthesis and Case Study in the City of Calgary.International journal of environmental research and public health · 2019Article
- Detecting spatio-temporal hotspots of scarlet fever in Taiwan with spatio-temporal Gi* statistic.PloS one · 2019Article
- Association of Neighborhood Geographic Spatial Factors With Rates of Childhood Obesity.JAMA network open · 2018Article
- Spatiotemporal epidemiology of scarlet fever in Jiangsu Province, China, 2005-2015.BMC infectious diseases · 2017Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Background: Evidence regarding scarlet fever and its relationship with meteorological, including air pollution factors, is not very available. This study aimed to examine the relationship between ambient air pollutants and meteorological factors with scarlet fever occurrence in Beijing, China. (2) Methods: A retrospective ecological study was carried out to distinguish the epidemic characteristics of scarlet fever incidence in Beijing districts from 2013 to 2014. Daily incidence and corresponding air pollutant and meteorological data were used to develop the model. Global Moran's
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