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Mapping Disease Transmission Risk of Nipah Virus in South and Southeast Asia
1Department of Geography, Texas State University, 601 University Drive, San Marcos, TX 78666, USA. mad214@txstate.edu.
Abstract:
Since 1998, Nipah virus (NiV) (genus: Henipavirus; family: Paramyxoviridae), an often-fatal and highly virulent zoonotic pathogen, has caused sporadic outbreak events. Fruit bats from the genus Pteropus are the wildlife reservoirs and have a broad distribution throughout South and Southeast Asia, and East Africa. Understanding the disease biogeography of NiV is critical to comprehending the potential geographic distribution of this dangerous zoonosis. This study implemented the R packages ENMeval and BIOMOD2 as a means of modeling regional disease transmission risk and additionally measured niche similarity between the reservoir Pteropus and the ecological characteristics of outbreak localities with the Schoener's D index and I statistic. Results indicate a relatively high degree of niche overlap between models in geographic and environmental space (D statistic, 0.64; and I statistic, 0.89), and a potential geographic distribution encompassing 19% (2,963,178 km²) of South and Southeast Asia. This study should contribute to current and future efforts to understand the critical ecological contributors and geography of NiV. Furthermore, this study can be used as a geospatial guide to identify areas of high disease transmission risk and to inform national public health surveillance programs.
Insights
Nipah virus (NiV) poses a significant zoonotic threat. This study models NiV
Area of Science:
- Veterinary Epidemiology
- Disease Ecology
- Geographic Information Systems (GIS)
Background:
- Nipah virus (NiV), a highly virulent zoonotic pathogen in the *Henipavirus* genus, has caused sporadic, often fatal, outbreaks since 1998.
- Fruit bats of the genus *Pteropus* are identified wildlife reservoirs, widely distributed across South and Southeast Asia, and East Africa.
- Understanding NiV's disease biogeography is crucial for predicting its potential geographic spread and informing public health strategies.
Purpose of the Study:
- To model the regional disease transmission risk of Nipah virus.
- To assess niche similarity between *Pteropus* bat ecological characteristics and NiV outbreak locations.
- To identify critical ecological contributors and the geographic distribution of NiV.
Main Methods:
- Utilized R packages ENMeval and BIOMOD2 for disease transmission risk modeling.
- Employed Schoener's D index and the *I* statistic to measure niche overlap.
- Integrated ecological data with outbreak locality information.
Main Results:
- Demonstrated a high degree of niche overlap between models in geographic and environmental spaces (D statistic = 0.64; *I* statistic = 0.89).
- Projected a potential geographic distribution for NiV encompassing 19% (2,963,178 km²) of South and Southeast Asia.
- Identified significant ecological similarities between bat habitats and outbreak sites.
Conclusions:
- The findings highlight critical ecological factors influencing NiV distribution.
- The study provides a geospatial framework for identifying high-risk areas for NiV transmission.
- Results can inform and enhance national public health surveillance programs for Nipah virus.
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