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

Q3 Health Professions
J. Wongbutdee, Wacharapong Saengnill, J. Jittimanee, Pawana Panomket, Phairo Saenwang
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引用次数: 0

Abstract

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 of melioidosis distribution during 2009–2018 and determine the association with meteorological factors. The monthly average rainfall and incidence of melioidosis were high from July to September but they not significantly associated (P = 0.576). However, the monthly maximum and minimum temperature were significantly associated with melioidosis incidence (P = 0.002 and P = 0.029, respectively). We estimated the spatial distribution of rainfall and maximum and minimum temperature using the Co-Kriging interpolation method which found that the spatial distribution of the melioidosis incidence was significantly associated with rainfall in 2009, 2010, and 2015; with the maximum temperature in 2009, 2010, 2011, 2013, and 2015; and with the minimum temperature in 2010, 2011, and 2015. Our finding approach may support information and classify a pattern for melioidosis distribution. Keywords: Incidence, Melioidosis, Meteorological factors
2009-2018年泰国乌汶拉差他尼病区类鼻疽发病率分布与气象因子的关系
摘要Melioidosis是热带地区的一个公共卫生问题,由于气象变化而发生。对于10年的类鼻疽疫情,我们创建了2009-2018年类鼻疽病分布的概率图,并确定了与气象因素的关系。7-9月的月平均降雨量和类鼻疽发病率较高,但没有显著相关性(P=0.576)。然而,月最高和最低温度与类鼻疽病发病率显著相关(分别为P=0.002和P=0.029)。我们使用Co-Crisging插值方法估计了降雨量和最高和最低温度的空间分布,发现类鼻疽发病率的空间分布与2009年、2010年和2015年的降雨量显著相关;最高气温出现在2009年、2010年、2011年、2013年和2015年;2010年、2011年和2015年的最低气温。我们的发现方法可能支持信息并对类鼻疽分布模式进行分类。关键词:发病率,Melioidosis,气象因素
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来源期刊
Chiang Mai University journal of natural sciences
Chiang Mai University journal of natural sciences Health Professions-Health Professions (miscellaneous)
CiteScore
1.70
自引率
0.00%
发文量
67
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