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Geoprocessing and Expected Distribution of Diseases (Including Deforestation, Global Warming, and Other Changes)

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Arthropod Borne Diseases

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Abstract

In epidemiology, in order to estimate risks and plan control measures, it is very important to predict when and where a disease may occur, even in areas not previously studied. It is also relevant for decision making to estimate or predict a priori the impacts resulting from changes in land use, land cover, and climate, among others, on the potential occurrence, distribution, or incidence of a disease. The meteorological and environmental products derived from satellite imagery can be used to monitor some conditions that favor or alternatively preclude the proliferation of vectors or affect the transmission of pathogens. In this chapter, we intend to make an introduction of the use of remote sensing and GIS technology for the study and surveillance of vector populations and for risk assessment of vector-borne diseases. In addition, some of the relations between anthropic and environmental changes and selected vector-borne diseases are revised.

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Notes

  1. 1.

    Degree-days are temperature units above a threshold, accumulated over 24-h periods, that are used to measure or represent the physiological time (or age) of a poikilotherm organism, i.e., the amount of heat the organism requires to develop from one stage to the next.

  2. 2.

    More information on the influence of climate on diseases, on R0 and on vector capacity may be found in Chap. 2 (Epidemiology) (CBM).

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Authors and Affiliations

  1. Centro de Relevamiento y Evaluación de Recursos Agrícolas y Naturales, Instituto Multidisciplinario de Biología Vegetal (IMBIV), Universidad Nacional de Córdoba (UNC), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Av. Valparaíso Sn (5016) and Facultad de Ciencias Exactas, Físicas y Naturales, UNC, Av. Vélez Sársfield 299, Córdoba, Argentina

    Raquel M. Gleiser

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Correspondence to Raquel M. Gleiser .

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  1. Department of Microbiology Immunology and Parasitology Center of Biological Sciences, Federal University of Santa Catarina, Florianópolis, Santa Catarina, Brazil

    Carlos Brisola Marcondes

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Gleiser, R.M. (2017). Geoprocessing and Expected Distribution of Diseases (Including Deforestation, Global Warming, and Other Changes). In: Marcondes, C. (eds) Arthropod Borne Diseases. Springer, Cham. https://doi.org/10.1007/978-3-319-13884-8_37

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  • DOI: https://doi.org/10.1007/978-3-319-13884-8_37

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