Geospatial Analysis of Environmental Suitability for Burkholderia species Using Data Analytics

dc.creatorShensky, Michael G.
dc.creatorTrelogan, Jessica
dc.creatorAcquaye-Seedah, Edith
dc.creatorRoux, Stanley J.
dc.creatorBrown, Katherine A.
dc.date.accessioned2020-07-30T16:18:19Z
dc.date.available2020-07-30T16:18:19Z
dc.date.issued2019-10-15
dc.descriptionPoster presented at the 2019 World Melioidosis Congress in Hanoi, Vietnam held October 15-18, 2019.en_US
dc.description.abstractThe spread of tropical diseases to regions previously free of these diseases is one consequence of climate change. Burkholderia pseudomallei is a soil-dwelling Gram-negative saprophyte that is the causative agent of melioidosis. Increased temperatures, flooding events, and movements of infected animals are cited as possible mechanisms for the spread of melioidosis beyond the tropics. Key aims of this project are to use existing data about soil, water, weather, land use and melioidosis risk factors to generate geospatial data and maps that can identify ecological niches for B. pseudomallei and related soil organisms. We are using geographic information systems data and a new data analytics platform, DataX, to create models and simulations of how climate change events may affect the current and potential future presence of this organism in the environment. We will present our strategy and discuss how we are integrating geospatial analysis tools in this project.en_US
dc.description.departmentUT Librariesen_US
dc.description.sponsorshipUniversity of Texas at Austin Bridging Barriers Planet Texas 2050 initiativeen_US
dc.identifier.urihttps://hdl.handle.net/2152/82326
dc.identifier.urihttp://dx.doi.org/10.26153/tsw/9331
dc.language.isoengen_US
dc.relation.ispartofUT Faculty/Researcher Worksen_US
dc.rights.restrictionOpenen_US
dc.subjectBurkholderia pseudomalleien_US
dc.subjectmelioidosis
dc.subjectGIS
dc.subjectgeospatial analysis
dc.subjectenvironmental niche model
dc.titleGeospatial Analysis of Environmental Suitability for Burkholderia species Using Data Analyticsen_US
dc.typePosteren_US

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