Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

Journal: BMC infectious diseases
PMID: 31722676

Abstract

BACKGROUND: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT to eradicate leptospirosis, it remains a public health problem in this province. Modelling and Prediction of this disease may play an important role in reduction of the prevalence.

Authors

  • Ali Mohammadinia
    GIS Division, Faculty of Geodesy and Geomatics, K. N. Toosi University of Technology, Tehran, Iran.
  • Bahram Saeidian
    GIS Division, Faculty of Geodesy and Geomatics, K. N. Toosi University of Technology, Tehran, Iran.
  • Biswajeet Pradhan
    School of Systems, Management, and Leadership, Faculty of Engineering and IT, University of Technology Sydney, New South Wales, Australia; Department of Energy and Mineral Resources Engineering, Choongmu-gwan, Sejong University, 209 Neungdong-ro Gwangjin-gu, 05006 Seoul, South Korea.
  • Zeinab Ghaemi
    GIS Division, Faculty of Geodesy and Geomatics, K. N. Toosi University of Technology, Tehran, Iran.

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