Use of Google Earth (TM) to strengthen public health capacity and facitlitate management of vector-borne diseases in resource-poor environments

Lozano-Fuentes, S., Elizondo-Quiroga, D., Farfan-Ale, J. A., Lorono-Pino, M. A., Garcia-Rejon, J., Gomez-Carro, S., Lira-Zumbardo, V., Najera-Vazquez, R., Fernandez-Salas, I., Calderon-Martinez, J., Dominguez-Galera, M., Mis-Avila, P., Morris, N., Coleman, Michael ORCID: https://orcid.org/0000-0003-4186-3526, Moore, C. G., Beaty, B. J. and Eisen, L. (2008) 'Use of Google Earth (TM) to strengthen public health capacity and facitlitate management of vector-borne diseases in resource-poor environments'. Bulletin of the World Health Organization, Vol 86, Issue 9, pp. 718-725.

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Abstract

Objective 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 Earth (TM)) 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 DOSS 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 Earth (TM) 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.

Item Type:	Article
Uncontrolled Keywords:	south-africa, information-system, malaria, dengue, transmission, Argentina, risk, maps, Google Earth™, HealthMapper software, Mexico, SIGEpi software
Subjects:	WA Public Health > WA 30 Socioeconomic factors in public health (General) WB Practice of Medicine > Medical Climatology > WB 700 Medical climatology. Geography of disease WC Communicable Diseases > Tropical and Parasitic Diseases > WC 765 Prevention and control QX Parasitology > Insects. Other Parasites > QX 650 Insect vectors
Faculty: Department:	Groups (2002 - 2012) > Vector Group
Digital Object Identifer (DOI):	https://doi.org/10.2471/BLT.07.045880
Depositing User:	Users 183 not found.
Date Deposited:	27 Apr 2010 14:38
Last Modified:	06 Feb 2018 13:00
URI:	https://archive.lstmed.ac.uk/id/eprint/845

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