Prediction of tuberculosis cases based on sociodemographic and environmental factors in gombak, Selangor, Malaysia: A comparative assessment of multiple linear regression and artificial neural network models.

Journal: International journal of mycobacteriology
Published Date: Jan 1, 2021

Abstract

BACKGROUND: Early prediction of tuberculosis (TB) cases is very crucial for its prevention and control. This study aims to predict the number of TB cases in Gombak based on sociodemographic and environmental factors.

Authors

  • Nur Adibah Mohidem
    Department of Environmental and Occupational Health, Universiti Putra Malaysia, Selangor, Malaysia.
  • Malina Osman
    Department of Medical Microbiology, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia, Selangor, Malaysia.
  • Farrah Melissa Muharam
    Department of Agriculture Technology, Faculty of Agriculture, Universiti Putra Malaysia, Serdang, Selangor, Malaysia.
  • Saliza Mohd Elias
    Department of Environmental and Occupational Health, Universiti Putra Malaysia, Selangor, Malaysia.
  • Rafiza Shaharudin
    Institute for Medical Research, National Institutes of Health, Selangor, Malaysia.
  • Zailina Hashim
    Department of Environmental and Occupational Health, Universiti Putra Malaysia, Selangor, Malaysia.

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