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Spatiotemporal analysis of historical records (2001-2012) on dengue fever in Vietnam and development of a statistical model for forecasting risk.

Bernard BettDelia GraceHu Suk LeeJohanna LindahlHung Nguyen-VietPham-Duc PhucNguyen Huu QuyenTran Anh TuTran Dac PhuDang Quang TanVu Sinh Nam
Published in: PloS one (2019)
The study identified temperature, rainfall, altitude and area under urban settlement as being significant predictors of dengue incidence. The statistical model fitted the data well based on Theil's coefficient of inequality, and risk maps generated from its predictions identified most of the high-risk provinces throughout the country.
Keyphrases
  • zika virus
  • dengue virus
  • aedes aegypti
  • risk factors
  • electronic health record
  • machine learning
  • big data