Understanding the Disease Vector Operational Environment by Predicting Presence of Anopheles Mosquito Breeding Sites Using Maximum Entropy Modeling and the Maxent Software Platform
Abstract
This technical note (TN) describes research using the maximum entropy model to predict the presence of breeding sites for mosquitos of the genus Anopheles throughout the Korean peninsula. This methodology is also applicable to many other types of ecological niche modeling problems where analysts only have access to data related to the location a species has been found. The purpose of this study is to help address the need for new and innovative methods that promote military readiness through better understanding of vector-borne disease threats in familiar and unfamiliar operational environments. These methods can be used to provide military planners with valuable information to support their operations, particularly when operations expand into areas lacking direct disease vector surveillance. Disease vector risk information is vital for force readiness, because historically, soldiers are more likely to be unable to perform warfighting due to disease and non-combat injuries than as a direct result of combat (U.S. Department of the Army 2015).
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 01, 2020
- Accession Number
- AD1108826
Entities
People
- Kathleen V. Payne
- Susan L. Lyon
Organizations
- Engineer Research and Development Center