| Autor: |
Minh Dien Tran, Tu Le, Thi Trang Huyen Nguyen, Thi Kim Ngan Nguyen, Thi Bich Lien Nguyen, Thuy Linh Nguyen |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Journal of Health and Development Studies. :40-52 |
| ISSN: |
2588-1442 |
| DOI: |
10.38148/jhds.0404skpt20-041 |
| Popis: |
Time series has been widely used in environmental epidemiology; especially in identifying the short-term associations between ambient air pollution and health outcomes. For both exposure and outcome, data are available at regular time intervals (daily hospital admissions and pollution levels) to explore short-term associations between them. In this article, we described main steps to conduct time series regression and highlighted some key ideas when applying this technique. A sample data was used to investigate short-term association between PM10 and daily hospital admission among children in Hanoi between 2008 and 2016. This analysis was conducted with R software. Keywords: time series, air pollution, short-term effect |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
|
