European and other countries are at increasing risk for new or re-emerging vector-borne diseases. Among the top ten vector-borne diseases with greatest potential to affect European citizens are Dengue fever, Chikungunya, Hantavirus, and Crimean-Congo hemorrhagic fever. Despite the risk of disease transmission, many vectors like the Asian tiger mosquito or ticks are also a nuisance in daily life. The examination of disease vector spread and a better understanding of spatio-temporal patterns in disease transmission and diffusion is greatly facilitated by Geoinformatics. New methods including the use of high resolution time series from space in spatial models enable us to predict species invasion and survival, and to assess potential health risks. Geoinformatics is able to address the increasing challenge for human and veterinary public health not only in Europe, but across the globe, assisting decision makers and public health authorities to develop surveillance plans and vector control.

Neteler, M.G.; Metz, M.; Rocchini, D.; Marcantonio, M.; Rizzoli, A. (2014). Tracking emerging diseases from space: Geoinformatics for human health. In: Geoinformatics: Solving global challenges? IFGI anniversary celebration, Muenster, 10-12 June 2014. url: https://www.uni-muenster.de/Geoinformatics/en/anniversary/symposium/neteler.html handle: http://hdl.handle.net/10449/23671

Tracking emerging diseases from space: Geoinformatics for human health

Neteler, Markus Georg;Metz, Markus;Rocchini, Duccio;Marcantonio, Matteo;Rizzoli, Annapaola
2014-01-01

Abstract

European and other countries are at increasing risk for new or re-emerging vector-borne diseases. Among the top ten vector-borne diseases with greatest potential to affect European citizens are Dengue fever, Chikungunya, Hantavirus, and Crimean-Congo hemorrhagic fever. Despite the risk of disease transmission, many vectors like the Asian tiger mosquito or ticks are also a nuisance in daily life. The examination of disease vector spread and a better understanding of spatio-temporal patterns in disease transmission and diffusion is greatly facilitated by Geoinformatics. New methods including the use of high resolution time series from space in spatial models enable us to predict species invasion and survival, and to assess potential health risks. Geoinformatics is able to address the increasing challenge for human and veterinary public health not only in Europe, but across the globe, assisting decision makers and public health authorities to develop surveillance plans and vector control.
Infectious diseases
Remote sensing
Vector-borne diseases
GIS
Malattie infettive
Telerilevamento
Malattie infettive trasmesse da vettori
GIS
2014
Neteler, M.G.; Metz, M.; Rocchini, D.; Marcantonio, M.; Rizzoli, A. (2014). Tracking emerging diseases from space: Geoinformatics for human health. In: Geoinformatics: Solving global challenges? IFGI anniversary celebration, Muenster, 10-12 June 2014. url: https://www.uni-muenster.de/Geoinformatics/en/anniversary/symposium/neteler.html handle: http://hdl.handle.net/10449/23671
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