New tools for epidemiology: a space odyssey

• Published in: Memórias do Instituto Oswaldo Cruz Vol. 106; no. 7; pp. 892 - 900
• Main Author: Bergquist, Robert
• Format: Journal Article
• Language: English
• Published: Brazil Instituto Oswaldo Cruz, Ministério da Saúde 01.11.2011; Fundação Oswaldo Cruz (FIOCRUZ)
• Subjects: climate change; Epidemiologic Methods; Geographic Information Systems - instrumentation; GIS; Humans; parasite; PARASITOLOGY; remote-sensing; satellite; Satellite Communications; Space-Time Clustering; spatio-temporal epidemiology; Topography, Medical - instrumentation; Topography, Medical - methods; TROPICAL MEDICINE; GIS; spatio-temporal epidemiology; parasite; satellite; remote-sensing; climate change
• ISSN: 0074-0276; 1678-8060; 0074-0276; 1678-8060
• DOI: 10.1590/S0074-02762011000700016

Geographical Information Systems (GIS) facilitate access to epidemiological data through visualization and may be consulted for the development of mathematical models and analysis by spatial statistics. Variables such as land-cover, land-use, elevations, surface temperatures, rainfall etc. emanating from earth-observing satellites, complement GIS as this information allows the analysis of disease distribution based on environmental characteristics. The strength of this approach issues from the specific environmental requirements of those causative infectious agents, which depend on intermediate hosts for their transmission. The distribution of these diseases is restricted, both by the environmental requirements of their intermediate hosts/vectors and by the ambient temperature inside these hosts, which effectively govern the speed of maturation of the parasite. This paper discusses the current capabilities with regard to satellite data collection in terms of resolution (spatial, temporal and spectral) of the sensor instruments on board drawing attention to the utility of computer-based models of the Earth for epidemiological research. Virtual globes, available from Google and other commercial firms, are superior to conventional maps as they do not only show geographical and man-made features, but also allow instant import of data-sets of specific interest, e.g. environmental parameters, demographic information etc., from the Internet.