https://doi.org/10.4081/gh.2023.1189

Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand

Vol. 18 No. 2 (2023)
Submitted: 25 January 2023
Accepted: 21 June 2023
Published: 5 July 2023
Melioidosis, interpolated mapping, spatial autocorrelation, Burkholderia pseudomallei Thailand
Abstract Views: 1249
PDF: 626
HTML: 51
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Authors

Jaruwan Wongbutdee
https://orcid.org/0009-0009-1884-9006
Geospatial Health Research Group, College of Medicine and Public Health, Ubon Ratchathani University, Thailand.
Jutharat Jittimanee
Geospatial Health Research Group, College of Medicine and Public Health, Ubon Ratchathani University, Thailand.
Wacharapong Saengnill
watcharapong.s@ubu.ac.th
https://orcid.org/0000-0001-7293-0635
Geospatial Health Research Group, College of Medicine and Public Health, Ubon Ratchathani University, Thailand.

Melioidosis, a bacterial, infectious disease contracted from contaminated soil or water, is a public health problem identified in tropical regions and endemic several regions of Thailand. Surveillance and prevention are important for determining its distribution patterns and mapping its risk, which have been analysed in the present study. Case reports in Thailand were collected from 1 January 2016 to 31 December 2020. Spatial autocorrelation was analyzed using Moran’s I and univariate local Moran’s I. Spatial point data of melioidosis incidence were calculated, with riskmapping interpolation performed by Kriging. It was highest in 2016, at 32.37 cases per 100,000 people, and lowest in 2020, at 10.83 cases per 100,000 people. General observations revealed that its incidence decreased slightly from 2016 to 2018 and drastically in 2019 and 2020. The Moran’s I values for melioidosis incidence exhibited a random spatial pattern in 2016 and clustered distribution from 2017 to 2020. The risk and variance maps show interval values. These findings may contribute to the monitoring and surveillance of melioidosis outbreaks.

Dimensions

Altmetric

PlumX Metrics

Downloads

Download data is not yet available.

Citations

Crossref
Scopus
Google Scholar
Europe PMC
Bulterys PL, Bulterys MA, Phommasone K, Luangraj M, Mayxay M, Kloprogge S, Miliya T, Vongsouvath M, Newton PN, Phetsouvanh R, French CT, Miller JF, Turner P, Dance DAB. 2018. Climatic drivers of melioidosis in Laos and Cambodia: a 16-year case series analysis. Lancet Planet Health 2:e334-e343. DOI: https://doi.org/10.1016/S2542-5196(18)30172-4
Bureau of Epidemiology, Department of Disease Control, MoPH, Thailand. 2023. National Disease Surveillance (Report 506): Melioidosis. Accessed January, 2023. Available from: http://doe.moph.go.th/surdata/disease.php?dcontent=old&ds=72
Chen YS, Lin HH, Mu JJ, Chiang CS, Chen CH, Buu LM, Lin YE, Chen YL. 2012. Distribution of melioidosis cases and viable Burkholderiapseudomallei in soil: evidence for emerging melioidosis in Taiwan. J Clin Microbiol 48:1432-4. DOI: https://doi.org/10.1128/JCM.01720-09
Corkeron ML, Norton R, Nelson PN. 2010. Spatial analysis of melioidosis distribution in a suburban area. Epidemiol Infect 138:1346-52. DOI: https://doi.org/10.1017/S0950268809991634
Currie BJ, Ward L, Cheng AC. 2010. The epidemiology and clinical spectrum of melioidosis: 540 cases from the 20 year Darwin prospective study. PLoSNegl Trop Dis 4:e900. DOI: https://doi.org/10.1371/journal.pntd.0000900
Dai D, Chen YS, Chen PS, Chen YL. 2012. Case cluster shifting and contaminant source as determinants of melioidosis in Taiwan. Trop Med Int Health 17:1005-13. DOI: https://doi.org/10.1111/j.1365-3156.2012.03036.x
Dance DAB, Luangraj M, Rattanavong S, Sithivong N, Vongnalaysane O, Vongsouvath M, Newton PN. 2018. Melioidosis in the Lao People's Democratic Republic. Trop Med Infect Dis 3:21. DOI: https://doi.org/10.3390/tropicalmed3010021
Finkelstein RA, Atthasampunna P, Chulasamaya M. 2000. Pseudomonas (Burkholderia) pseudomallei in Thailand, 1964-1967: geographic distribution of the organism, attempts to identify cases of active infection, and presence of antibody in representative sera. Am J Trop Med Hyg 62:232-9. DOI: https://doi.org/10.4269/ajtmh.2000.62.232
GEODA software. Available from: https://gisgeography.com/geoda-software/
Han J, Zhu L, Kulldorff M, Hostovich S, Stinchcomb DG, Tatalovich Z, Lewis DR, Feuer EJ. 2016. Using Gini coefficient to determining optimal cluster reporting sizes for spatial scan statistics. Int J Health Geogr 15. DOI: https://doi.org/10.1186/s12942-016-0056-6
Hantrakun V, Kongyu S, Klaytong P, Rongsumlee S, Day NPJ, Peacock SJ, Hinjoy S, Limmathurotsakul D. 2019. Clinical Epidemiology of 7126 Melioidosis Patients in Thailand and the Implications for a National Notifiable Diseases Surveillance System. Open Forum Infect Dis 6:ofz498. DOI: https://doi.org/10.1093/ofid/ofz498
Kaestli M, Mayo M, Harrington G, Ward L, Watt F, Hill JV, Cheng AC, Currie B.J. 2009. Landscape Changes Influence the Occurrence of the Melioidosis Bacterium Burkholderia pseudomallei in Soil in Northern Australia. PLoS Negl Trop Dis 3:e364. DOI: https://doi.org/10.1371/journal.pntd.0000364
Kulldorff M. 1997. A spatial scan statistic. Communications in Statistics - Theory and Methods. 26:1481–1496. DOI: https://doi.org/10.1080/03610929708831995
Limmathurotsakul D, Kanoksil M, Wuthiekanun V, Kitphati R, Destavola B, Day NP, Peacock SJ. 2013. Activities of daily living associated with acquisition of melioidosis in northeast Thailand: a matched case-control study. PLoS Negl Trop Dis 7:e2072. DOI: https://doi.org/10.1371/journal.pntd.0002072
Limmathurotsakul D, Wongratanacheewin S, Teerawattanasook N, Wongsuvan G, Chaisuksant S, Chetchotisakd P, Chaowagul W, Day NP, Peacock SJ. 2010. Increasing incidence of human melioidosis in Northeast Thailand. Am J Trop Med Hyg 82:1113-7. DOI: https://doi.org/10.4269/ajtmh.2010.10-0038
Limmathurotsakul D, Wuthiekanun V, Chantratita N, Wongsuvan G, Amornchai P, Day NP, Peacock SJ. 2010. Burkholderiapseudomallei is spatially distributed in soil in northeast Thailand. PLoS Negl Trop Dis 4:e694. DOI: https://doi.org/10.1371/journal.pntd.0000694
Liu X, Pang L, Sim SH, Goh KT, Ravikumar S, Win MS, Tan G, Cook AR, Fisher D, Chai LY. 2015. Association of melioidosis incidence with rainfall and humidity, Singapore, 2003-2012. Emerg Infect Dis 21:159-62. DOI: https://doi.org/10.3201/eid2101.140042
Mu JJ, Cheng PY, Chen YS, Chen PS, Chen YL. 2014. The occurrence of melioidosis is related to different climatic conditions in distinct topographical areas of Taiwan. Epidemiol Infect 142:415-23 DOI: https://doi.org/10.1017/S0950268813001271
Nachiangmai N, Patamasucon P, Tipayamonthein B, Kongpon A, Nakaviroj S. 1985. Pseudomonas pseudomallei in southern Thailand. Southeast Asian J Trop Med Public Health 16:83-7.
Paksanont S, Sintiprungrat K, Yimthin T, Pumirat P, Peacock SJ, Chantratita N. 2018. Effect of temperature on Burkholderia pseudomallei growth, proteomic changes, motility and resistance to stress environments. Scientific Reports 8:9167. DOI: https://doi.org/10.1038/s41598-018-27356-7
Palasatien S, Lertsirivorakul R, Royros P, Wongratanacheewin S, Sermswan RW. 2008. Soil physicochemical properties related to the presence of Burkholdoria pseudomallei. Trans R Soc Trop Med Hyg 102(Suppl 1): S5-9. DOI: https://doi.org/10.1016/S0035-9203(08)70003-8
QGIS. Available from: https://qgis.org/
R gstat package. Available from: https://cran.r-project.org/web/packages/gstat/index.html
Rachlin A, Luangraj M, Kaestli M, Rattanavong S, Phoumin P, Webb JR, Mayo M, Currie BJ, Dance DAB. 2020. Using Land Runoff to Survey the Distribution and Genetic Diversity of Burkholderiapseudomallei in Vientiane, Laos. Appl Environ Microbiol 87:e02112-20. DOI: https://doi.org/10.1128/AEM.02112-20
Saengnill W, Charoenjit K, Hrimpeng K, Jittimanee J. 2020. Mapping the probability of detecting Burkholderiapseudomallei in rural rice paddy soil based on indicator kriging and spatial soil factor analysis. Trans R Soc Trop Med Hyg 114:521-530. DOI: https://doi.org/10.1093/trstmh/traa029
Sam IC, Puthucheary SD. 2007. Melioidosis and rainfall in Kuala Lumpur, Malaysia. J Infect 54:519-20. DOI: https://doi.org/10.1016/j.jinf.2006.07.007
Thaipadungpanit J, Chierakul W, Pattanaporkrattana W, Phoodaeng A, Wongsuvan G, Huntrakun V, Amornchai P, Chatchen S, Kitphati R, Wuthiekanun V, Day NP, Peacock SJ, Limmathurotsakul D. 2014. Burkholderia pseudomallei in water supplies, southern Thailand. Emerg Infect Dis 20:1947-1949. DOI: https://doi.org/10.3201/eid2011.140832
Wang-Ngarm S, Chareonsudjai S, Chareonsudjai P. 2014. Physicochemical factors affecting the growth of Burkholderiapseudomallei in soil microcosm. Am J Trop Med Hyg 90:480-5. DOI: https://doi.org/10.4269/ajtmh.13-0446
Wongbutdee J, Saengnill W, Jittimanee J, Panomket P, Saenwang P. 2021. The association between the mapping distribution of melioidosis incidences and meteorological factors in an endemic area: Ubon Ratchathani, Thailand (2009–2018). CMU J Nat Sci 20:e2021083. DOI: https://doi.org/10.12982/CMUJNS.2021.083

How to Cite

Wongbutdee, J., Jittimanee, J., & Saengnill, W. (2023). Spatiotemporal distribution and geostatistically interpolated mapping of the melioidosis risk in an endemic zone in Thailand. Geospatial Health, 18(2). https://doi.org/10.4081/gh.2023.1189
Copyright (c) 2023 the Author(s) Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.