The Interactive Effects between Drought and Air Pollutants on Children’s Upper Respiratory Tract Infection
A Time-Series Analysis in Gansu, China
Bibliographic Data
| ID | 15480825 |
|---|---|
| Authors | Yanlin Li (0000-0002-1093-7898, Lanzhou University), Jianyun Sun (0000-0002-1547-1855, Gansu Provincial Center for Disease Control and Prevention), Ruoyi Lei (Lanzhou University), Jie Zheng (0009-0002-7853-6721, Lanzhou University), Xiaoyu Tian (0000-0001-8405-9680, Lanzhou University), Baode Xue (Lanzhou University), Bin Luo (0000-0001-9324-8942, Shanghai Meteorological Bureau, corresponding author) |
| Year | 2023 |
| Volume | 20 |
| Issue | 3 |
| Pages | 1959-1959 |
| Publication date | 2023-01-20 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | International Journal of Environmental Research and Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1661-7827 • E-ISSN: 1660-4601 |
| Publisher | Multidisciplinary Digital Publishing Institute (PUBLISHER • CH) |
| DOI | 10.3390/ijerph20031959 |
| PMID | 36767324 |
| OpenAlex | W4317619102 |
| Language | EN |
| References cited | 59 |
As a destructive and economic disaster in the world, drought shows an increasing trend under the continuous global climate change and adverse health effects have been reported. The interactive effects between drought and air pollutants, which may also be harmful to respiratory systems, remain to be discussed. We built the generalized additive model (GAM) and distributed lag nonlinear model (DLNM) to estimate the effects of drought and air pollutants on daily upper respiratory infections (URTI) outpatient visits among children under 6 in three cities of Gansu province. The Standardized Precipitation Index (SPI) based on monthly precipitation (SPI-1) was used as an indicator of drought. A non-stratified model was established to explore the interaction effect of SPI-1 and air pollutants. We illustrated the number of daily pediatric URTI outpatient visits increased with the decrease in SPI-1. The interactive effects between air pollutants and the number of daily pediatric URTIs were significant. According to the non-stratified model, we revealed highly polluted and drought environments had the most significant impact on URTI in children. The occurrence of drought and air pollutants increased URTI in children and exhibited a significant interactive effect
Air pollutants · Air pollution · Biology · China · Distributed lag · Environmental health · Generalized additive model · Geography · Lag · Lag time · Meteorology · Pollutant · Precipitation · Statistics · Air Quality and Health Impacts · Climate Change and Health Impacts · Environmental Science · Hydrology and Drought Analysis · Mathematics · Medicine · Ecology
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| Highly cited | No |
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