Time series modeling of pneumonia admissions and its association with air pollution and climate variables in Chiang Mai Province, Thailand

This study aimed to predict the number of pneumonia cases in Chiang Mai Province. An autoregressive integrated moving average (ARIMA) was used in data fitting and to predict future pneumonia cases monthly. Total pneumonia cases of 67,583 were recorded in Chiang Mai during 2003–2014 that the monthly...

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Detalles Bibliográficos
Autores principales: Ruchiraset, Apaporn, Tantrakarnapa, Kraichat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245022/
https://www.ncbi.nlm.nih.gov/pubmed/30255274
http://dx.doi.org/10.1007/s11356-018-3284-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6245022/
https://www.ncbi.nlm.nih.gov/pubmed/30255274
http://dx.doi.org/10.1007/s11356-018-3284-4

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