Niche Modeling of Dengue Fever Using Remotely Sensed Environmental Factors and BRT

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dc.contributor.authorAshby, Jeffrey L.
dc.contributor.authorMoreno-Madriñán, Max J.
dc.contributor.departmentHealth Policy and Management, School of Public Healthen_US
dc.date.accessioned2019-05-10T17:54:31Z
dc.date.available2019-05-10T17:54:31Z
dc.date.issued2018
dc.description.abstractIn this paper we used Boosted Regression Tree analysis coupled with environmental factors gathered from satellite data, such as temperature, elevation, and precipitation, to model the niche of Dengue Fever (DF) in Colombia.en_US
dc.identifier.citationAshby, J. L., & Moreno-Madriñán, M. J. (2018). Niche Modeling of Dengue Fever Using Remotely Sensed Environmental Factors and BRT. Online Journal of Public Health Informatics, 10(1), e18. doi:10.5210/ojphi.v10i1.8336en_US
dc.identifier.urihttps://hdl.handle.net/1805/19237
dc.language.isoen_USen_US
dc.publisherOJPHIen_US
dc.relation.isversionof10.5210/ojphi.v10i1.8336en_US
dc.relation.journalOnline Journal of Public Health Informaticsen_US
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
dc.sourcePMCen_US
dc.subjectBoosted Regression Treesen_US
dc.subjectDengue Fever (DF)en_US
dc.titleNiche Modeling of Dengue Fever Using Remotely Sensed Environmental Factors and BRTen_US
dc.typeArticleen_US
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