Geospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand

dc.contributor.authorKanjaras P.
dc.contributor.authorBumrerraj S.
dc.contributor.authorSeng R.
dc.contributor.authorNoradee S.
dc.contributor.authorNithikathkul C.
dc.contributor.otherMahidol University
dc.date.accessioned2023-05-19T07:41:20Z
dc.date.available2023-05-19T07:41:20Z
dc.date.issued2023-01-01
dc.description.abstractMelioidosis 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.
dc.identifier.citationInternational Journal of Geoinformatics Vol.19 No.1 (2023) , 57-65
dc.identifier.doi10.52939/ijg.v19i1.2501
dc.identifier.eissn26730014
dc.identifier.issn16866576
dc.identifier.scopus2-s2.0-85149385908
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/81835
dc.rights.holderSCOPUS
dc.subjectEarth and Planetary Sciences
dc.titleGeospatial Analysis and Modeling of Melioidosis Prevention and Control in Si Sa Ket Province, Thailand
dc.typeArticle
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85149385908&origin=inward
oaire.citation.endPage65
oaire.citation.issue1
oaire.citation.startPage57
oaire.citation.titleInternational Journal of Geoinformatics
oaire.citation.volume19
oairecerif.author.affiliationFaculty of Tropical Medicine, Mahidol University
oairecerif.author.affiliationFaculty of Medicine, Khon Kaen University
oairecerif.author.affiliationMahasarakham University

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