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

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Date
2018
Authors
Ashby, Jeffrey L.
Moreno-Madriñán, Max J.
Language
American English
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Health Policy and Management, School of Public Health
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OJPHI
Abstract

In 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.

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Boosted Regression Trees, Dengue Fever (DF)
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Ashby, 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.v10i1.8336
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Online Journal of Public Health Informatics
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Attribution-NonCommercial-NoDerivs 3.0 United States Creative Commons licenses
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https://hdl.handle.net/1805/19237
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https://doi.org/10.5210/ojphi.v10i1.8336
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