Malaria risk assessment and mapping using satellite imagery and boosted regression trees in the Peruvian Amazon

Volume: 9, Issue: 1
Published: Oct 23, 2019
Abstract
This is the first study to assess the risk of co-endemic Plasmodium vivax and Plasmodium falciparum transmission in the Peruvian Amazon using boosted regression tree (BRT) models based on social and environmental predictors derived from satellite imagery and data. Yearly cross-validated BRT models were created to discriminate high-risk (annual parasite index API > 10 cases/1000 people) and very-high-risk for malaria (API > 50 cases/1000...
Paper Details
Title
Malaria risk assessment and mapping using satellite imagery and boosted regression trees in the Peruvian Amazon
Published Date
Oct 23, 2019
Volume
9
Issue
1
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.