泰国西萨省Melioidosis防治的地理空间分析与建模

Q4 Social Sciences International Journal of Geoinformatics Pub Date : 2023-01-31 DOI:10.52939/ijg.v19i1.2501
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引用次数: 1

摘要

Melioidosis是一种由假槌伯克霍尔德菌革兰氏阴性菌引起的传染病。它们存在于土壤、水中和哺乳动物中。2017年,泰国是东北地区Melioidosis发病率最高的国家。本研究的目的是确定影响Melioidosis患病率的因素。根据样本,2018-2019年共有265名患者通过IHA/IFA确诊。结果显示,大多数样本中67.17%为男性,31.32%为农业,41.89%有潜在疾病。与该地区疾病流行率相关的因素有:性别(p值0.019,95%CI=1.108-3.132)、家庭环境(p值0.025,95%CI=0.163-0.885)、,患者暴露[p值=0.001,95%CI=0.186–0.644)、吸烟(p值<0.001,95%CI=1.468–2.914)、潜在疾病(p值<0.001,95%CI=1.48–4.047)、季节(p值0.016,95%CI=1.112–2.763)、感知易感性(p值<0.001,95%CI=0.207–0.726)和感知严重性(p值0.005,95%CI=0.416–0.854)最后,应使用监测风险区域的地理地图,建立人们对疾病风险的认识,并结合这些监测,以便为风险区域的人们适当预防和控制Melioidosis。
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Geospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand
Melioidosis is a communicable disease caused by the gram-negative bacterium of Burkholderia pseudomallei. There were founded in soil, water and mammals. In 2017, Thailand was highest a prevalence of Melioidosis at Northeast area. The aimed of this study were to determine the factors affecting the prevalence of Melioidosis. According to sample, there was 265 patients, who has diagnosed by IHA/IFA in 2018-2019. The results showed that the majority of the samples 67.17% were male, 31.32% were agriculture, and 41.89% had underlying disease. The factors associated with the prevalence of disease in the area were: Sex (p-value 0.019, 95%CI = 1.108 - 3.132), household environment (p-value 0.025, 95%CI = 0.163 - 0.885), patient exposure [p-value= 0.001, 95%CI = 0.186 – 0.644), smoking (p-value <0.001, 95%CI = 1.468 – 2.914), underlying disease (p-value<0.001, 95%CI = 1.48 – 4.047), season (p-value 0.016, 95%CI = 1.112 – 2.763), perceived susceptibility (p-value<0.001, 95%CI = 0.207 - 0.726) and perceived severity (p-value 0.005, 95%CI = 0.416 – 0.854). Finally, establishing people aware of the risk of disease combined with these surveillances should be carried out using a geographic map that monitors risk areas, so that can prevent and control Melioidosis appropriately for people at risk area.
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来源期刊
International Journal of Geoinformatics
International Journal of Geoinformatics Social Sciences-Geography, Planning and Development
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