Spatial and statistical analysis of leptospirosis in Thailand from 2013 to 2015

Geospat Health. 2019 May 14;14(1). doi: 10.4081/gh.2019.739.

Abstract

This study analyzes the temporal pattern and spatial clustering of leptospirosis, a disease recognized as an emerging public health problem in Thailand. The majority of those infected are farmers and fishermen. Severe epidemics of leptospirosis in association with the rainy reason have occurred since 1996. Still, an understanding of the annual variation and spatial clustering of the disease is lacking. Data were collected from the Center of Epidemiological Information, Bureau of Epidemiology, Ministry of Public Health, covering the nationwide incidence of leptospirosis during the period 2013-2015. Clustering techniques, including local indicators of spatial association and local Getis-Ord Gi* statistic, were used for the analysis and evaluation of the annual spatial distribution of the disease. Both these statistics revealed similar results for the areas with the highest clustering patterns of leptospirosis. Specifically, there were persisting hotspots in north-eastern and southern parts of Thailand over the three years covered by the study. This outcome suggests that healthcare resources should be allocated to the areas characterized by leptospirosis clustering.

MeSH terms

  • Animals
  • Farmers / statistics & numerical data
  • Fishes
  • Humans
  • Incidence
  • Leptospirosis / epidemiology*
  • Leptospirosis / mortality
  • Longitudinal Studies
  • Occupations / statistics & numerical data*
  • Risk Factors
  • Seasons
  • Spatio-Temporal Analysis*
  • Thailand / epidemiology