Geospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand
Issued Date
2023-01-01
Resource Type
ISSN
16866576
eISSN
26730014
Scopus ID
2-s2.0-85149385908
Journal Title
International Journal of Geoinformatics
Volume
19
Issue
1
Start Page
57
End Page
65
Rights Holder(s)
SCOPUS
Bibliographic Citation
International Journal of Geoinformatics Vol.19 No.1 (2023) , 57-65
Suggested Citation
Kanjaras P., Bumrerraj S., Seng R., Noradee S., Nithikathkul C. Geospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand. International Journal of Geoinformatics Vol.19 No.1 (2023) , 57-65. 65. doi:10.52939/ijg.v19i1.2501 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/81835
Title
Geospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand
Author(s)
Other Contributor(s)
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.