Mapping the distribution of Nipah virus infections: a geospatial modelling analysis
Authors: Yan-Qun Sun, Yuan-Yuan Zhang, Mei-Chen Liu, Jin-Jin Chen, Ting-Ting Li, Yan-Ning Liu
Year: 2024
Journal: Lancet Planet Health
DOI: 10.1016/S2542-5196(24)00119-0
Summary
This study maps the distribution of Nipah virus infections using geospatial modeling analysis.
Key Findings
- The study provides a detailed map of Nipah virus infections across China.
- The findings highlight areas with high risk for Nipah virus transmission.
Methodology
- Study Type: Geospatial Modelling Analysis
- Geographic Focus: China
Topics
Epidemiology, Virology
Relevance
This research helps identify high-risk areas for Nipah virus transmission and aids in public health preparedness and response.