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dc.creatorlozano, saul
dc.creatorelizondo, darwin
dc.creatorfarfan, jose arturo
dc.creatorloroño, maria alba
dc.creatorgarcia, julian
dc.creatorgomez, salvador
dc.creatorlira, victor
dc.creatornajera, rosario
dc.creatorcalderon, joaquin
dc.creatordominguez, marco
dc.creatormis, pedro
dc.creatorcoleman, michael
dc.creatormorris, natashia
dc.creatormoore, chester g.
dc.creatorbeaty, barry
dc.creatoreisen, lars
dc.identifierlozano, saul y elizondo, darwin y farfan, jose arturo y loroño, maria alba y garcia, julian y gomez, salvador y lira, victor y najera, rosario y FERNANDEZ, ILDEFONSO y calderon, joaquin y dominguez, marco y mis, pedro y coleman, michael y morris, natashia y moore, chester g. y beaty, barry y eisen, lars (2008) Use of Google EarthTM to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments. Bulletin World Health Organization. , 86 (9). pp. 718-725.
dc.descriptionOBJECTIVE: Novel, inexpensive solutions are needed for improved management of vector-borne and other diseases in resource-poor environments. Emerging free software providing access to satellite imagery and simple editing tools (e.g. Google EarthTM) complement existing geographic information system (GIS) software and provide new opportunities for: (i) strengthening overall public health capacity through development of information for city infrastructures; and (ii) display of public health data directly on an image of the physical environment. METHODS: We used freely accessible satellite imagery and a set of feature-making tools included in the software (allowing for production of polygons, lines and points) to generate information for city infrastructure and to display disease data in a dengue decision support system (DDSS) framework. FINDINGS: Two cities in Mexico (Chetumal and Merida) were used to demonstrate that a basic representation of city infrastructure useful as a spatial backbone in a DDSS can be rapidly developed at minimal cost. Data layers generated included labelled polygons representing city blocks, lines representing streets, and points showing the locations of schools and health clinics. City blocks were colour-coded to show presence of dengue cases. The data layers were successfully imported in a format known as shapefile into a GIS software. CONCLUSION: The combination of Google EarthTM and free GIS software (e.g. HealthMapper, developed by WHO, and SIGEpi, developed by PAHO) has tremendous potential to strengthen overall public health capacity and facilitate decision support system approaches to prevention and control of vector-borne diseases in resource-poor environments.
dc.subjectQH301 Biology
dc.subjectQH426 Genetics
dc.titleUse of Google EarthTM to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environments

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