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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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| Publicado no: | Environ Sci Pollut Res Int |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Berlin Heidelberg
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6245022/ https://ncbi.nlm.nih.gov/pubmed/30255274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s11356-018-3284-4 |
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