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Mapping Environmental Dimensions of Dengue Fever Transmission Risk in the Aburrá Valley, Colombia

Author

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  • Sair Arboleda

    (Grupo de Biología y Control de Enfermedades Infecciosas (BCEI), Instituto de Biología, Universidad de Antioquia, Sede de Investigaciones Universitarias, SIU, Calle 62 # 52–59 Laboratory 620, P.O. Box: 1226, Medellín, Colombia)

  • Nicolas Jaramillo-O.

    (Grupo de Biología y Control de Enfermedades Infecciosas (BCEI), Instituto de Biología, Universidad de Antioquia, Sede de Investigaciones Universitarias, SIU, Calle 62 # 52–59 Laboratory 620, P.O. Box: 1226, Medellín, Colombia)

  • A. Townsend Peterson

    (Natural History Museum, the University of Kansas, Lawrence, KS 66045, USA)

Abstract

Dengue fever (DF) is endemic in Medellín, the second largest Colombian city, and surrounding municipalities. We used DF case and satellite environmental data to investigate conditions associated with suitable areas for DF occurrence in 2008 in three municipalities (Bello, Medellín and Itagüí). We develop spatially stratified tests of ecological niche models, and found generally good predictive ability, with all model tests yielding results significantly better than random expectations. We concluded that Bello and Medellín present ecological conditions somewhat different from, and more suitable for DF than, those of Itagüí. We suggest that areas predicted by our models as suitable for DF could be considered as at-risk, and could be used to guide campaigns for DF prevention in these municipalities.

Suggested Citation

  • Sair Arboleda & Nicolas Jaramillo-O. & A. Townsend Peterson, 2009. "Mapping Environmental Dimensions of Dengue Fever Transmission Risk in the Aburrá Valley, Colombia," IJERPH, MDPI, vol. 6(12), pages 1-16, December.
    • Handle: RePEc:gam:jijerp:v:6:y:2009:i:12:p:3040-3055:d:6410
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    References listed on IDEAS

    as
    1. Peterson, A. Townsend & Papeş, Monica & Soberón, Jorge, 2008. "Rethinking receiver operating characteristic analysis applications in ecological niche modeling," Ecological Modelling, Elsevier, vol. 213(1), pages 63-72.
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    Cited by:

    1. Marie Kellemen & Jun Ye & Max J. Moreno-Madriñan, 2021. "Exploring for Municipality-Level Socioeconomic Variables Related to Zika Virus Incidence in Colombia," IJERPH, MDPI, vol. 18(4), pages 1-17, February.
    2. Zhichao Li & Helen Gurgel & Nadine Dessay & Luojia Hu & Lei Xu & Peng Gong, 2020. "Semi-Supervised Text Classification Framework: An Overview of Dengue Landscape Factors and Satellite Earth Observation," IJERPH, MDPI, vol. 17(12), pages 1-29, June.
    3. Daniel Adyro Martínez-Bello & Antonio López-Quílez & Alexander Torres Prieto, 2018. "Spatio-Temporal Modeling of Zika and Dengue Infections within Colombia," IJERPH, MDPI, vol. 15(7), pages 1-18, June.
    4. Bipin Kumar Acharya & Chunxiang Cao & Min Xu & Laxman Khanal & Shahid Naeem & Shreejana Pandit, 2018. "Present and Future of Dengue Fever in Nepal: Mapping Climatic Suitability by Ecological Niche Model," IJERPH, MDPI, vol. 15(2), pages 1-15, January.
    5. Thibault Catry & Zhichao Li & Emmanuel Roux & Vincent Herbreteau & Helen Gurgel & Morgan Mangeas & Frédérique Seyler & Nadine Dessay, 2018. "Wetlands and Malaria in the Amazon: Guidelines for the Use of Synthetic Aperture Radar Remote-Sensing," IJERPH, MDPI, vol. 15(3), pages 1-27, March.

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