Spatiotemporal trends and meteorological influence on hand, foot, and mouth disease in Ho Chi Minh City: insights from 2015–2022 using machine learning and trend analysis
Abstract This work used seven meteorological indicators to investigate their effects on hand, foot, and mouth disease (HFMD) in Ho Chi Minh City (HCMC) and the spatiotemporal pattern trends of HFMD from 2015 to 2022 by integrating multiple approaches, including Innovative Polygon Trend Analysis (IPT...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-06-01
|
| Series: | Discover Public Health |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12982-025-00718-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|