Title: Mapping Populations at Risk: Improving Spatial Demographic Data for Infectious Disease Modeling and Metric Derivation
نویسندگان
چکیده
Andrew J Tatem ([email protected]) Susana Adamo ([email protected]) Nita Bharti ([email protected]) Clara R Burgert ([email protected]) Marcia Castro ([email protected]) Audrey Dorelien ([email protected]) Gunther Fink ([email protected]) Catherine Linard ([email protected]) John Mendelsohn ([email protected]) Livia Montana ([email protected]) Mark R Montgomery ([email protected]) Andrew Nelson ([email protected]) Abdisalan M Noor ([email protected]) Deepa Pindolia ([email protected]) Greg Yetman ([email protected]) Deborah Balk ([email protected])
منابع مشابه
Mapping populations at risk: improving spatial demographic data for infectious disease modeling and metric derivation
The use of Global Positioning Systems (GPS) and Geographical Information Systems (GIS) in disease surveys and reporting is becoming increasingly routine, enabling a better understanding of spatial epidemiology and the improvement of surveillance and control strategies. In turn, the greater availability of spatially referenced epidemiological data is driving the rapid expansion of disease mappin...
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