The Association between the Mapping Distribution of Melioidosis Incidences and Meteorological Factors in an Endemic Area: Ubon Ratchathani, Thailand (2009–2018)

Abstract Melioidosis is a public health problem in the tropical regions, occurring to meteorological variability. For 10 years of melioidosis outbreaks, we create probability maps distribution during 2009–2018 and determine association with factors. The monthly average rainfall incidence were high from July September but they not significantly associated (P = 0.576). However, maximum minimum temperature 0.002 P 0.029, respectively). We estimated spatial using Co-Kriging interpolation method which found that was 2009, 2010, 2015; 2011, 2013, 2015. Our finding approach may support information classify pattern for distribution. Keywords: Incidence, Melioidosis, Meteorological factors