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

  • Saul Lozano-Fuentes
  • , Darwin Elizondo-Quiroga
  • , Jose Arturo Farfan-Ale
  • , Maria Alba Loroño-Pino
  • , Julian Garcia-Rejon
  • , Salvador Gomez-Carro
  • , Victor Lira-Zumbardo
  • , Rosario Najera-Vazquez
  • , Ildefonso Fernandez-Salas
  • , Joaquin Calderon-Martinez
  • , Marco Dominguez-Galera
  • , Pedro Mis-Avila
  • , Natashia Morris
  • , Michael Coleman
  • , Chester G. Moore
  • , Barry J. Beatya
  • , Lars Eisen
  • Colorado State University
  • Universidad Autonoma de Yucatan
  • Servicios de Salud de Yucatán
  • Universidad Autonoma de Nuevo Leon
  • Servicios Estatales de Salud de Quintana Roo
  • South African Medical Research Council

Research output: Contribution to journalArticlepeer-review

65 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)718-725
Number of pages8
JournalBulletin of the World Health Organization
Volume86
Issue number9
DOIs
Publication statusPublished - 1 Sept 2008

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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