Application of geographically weighted regression to assess risk factors for water pollution related human diseases
  • Article Type: Research Article
  • Eurasian Journal of Biosciences, 2020 - Volume 14 Issue 2, pp. 4415-4420
  • Published Online: 26 Oct 2020
  • Open Access Full Text (PDF)

Abstract

Water is essential for survival. Human health may be affected directly or indirectly by the ingestion of contaminated water and by the use of polluted water for purposes of personal hygiene. The water related diseases data and water pollution data were analysed with ordinary linear regression and geographically weighted regression by using R software. The results of the analysis show that geographically weighted regression model can be used to geographically differentiate the relationships of water related diseases with water pollutants. This paper studied the factors affecting human health due to drinking water quality in Tirunelveli district, Tamil Nadu.

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License

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.