학술논문

Geospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand.
Document Type
Article
Source
International Journal of Geoinformatics. Jan2023, Vol. 19 Issue 1, p57-65. 9p.
Subject
*MELIOIDOSIS
*BURKHOLDERIA pseudomallei
*COMMUNICABLE diseases
*GRAM-negative bacteria
*DISEASE prevalence
*AT-risk people
Language
ISSN
1686-6576
Abstract
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. [ABSTRACT FROM AUTHOR]