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Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries

BACKGROUND: Dengue fever is a mosquito-borne illness that places significant burden on tropical developing countries with unplanned urbanization. A surveillance system using Google Earth and GIS mapping technologies was developed in Nicaragua as a management tool. METHODS AND RESULTS: Satellite imag...

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Autores principales: Chang, Aileen Y, Parrales, Maria E, Jimenez, Javier, Sobieszczyk, Magdalena E, Hammer, Scott M, Copenhaver, David J, Kulkarni, Rajan P
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2729741/
https://www.ncbi.nlm.nih.gov/pubmed/19627614
http://dx.doi.org/10.1186/1476-072X-8-49
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author Chang, Aileen Y
Parrales, Maria E
Jimenez, Javier
Sobieszczyk, Magdalena E
Hammer, Scott M
Copenhaver, David J
Kulkarni, Rajan P
author_facet Chang, Aileen Y
Parrales, Maria E
Jimenez, Javier
Sobieszczyk, Magdalena E
Hammer, Scott M
Copenhaver, David J
Kulkarni, Rajan P
author_sort Chang, Aileen Y
collection PubMed
description BACKGROUND: Dengue fever is a mosquito-borne illness that places significant burden on tropical developing countries with unplanned urbanization. A surveillance system using Google Earth and GIS mapping technologies was developed in Nicaragua as a management tool. METHODS AND RESULTS: Satellite imagery of the town of Bluefields, Nicaragua captured from Google Earth was used to create a base-map in ArcGIS 9. Indices of larval infestation, locations of tire dumps, cemeteries, large areas of standing water, etc. that may act as larval development sites, and locations of the homes of dengue cases collected during routine epidemiologic surveying were overlaid onto this map. Visual imagery of the location of dengue cases, larval infestation, and locations of potential larval development sites were used by dengue control specialists to prioritize specific neighborhoods for targeted control interventions. CONCLUSION: This dengue surveillance program allows public health workers in resource-limited settings to accurately identify areas with high indices of mosquito infestation and interpret the spatial relationship of these areas with potential larval development sites such as garbage piles and large pools of standing water. As a result, it is possible to prioritize control strategies and to target interventions to highest risk areas in order to eliminate the likely origin of the mosquito vector. This program is well-suited for resource-limited settings since it utilizes readily available technologies that do not rely on Internet access for daily use and can easily be implemented in many developing countries for very little cost.
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spelling pubmed-27297412009-08-21 Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries Chang, Aileen Y Parrales, Maria E Jimenez, Javier Sobieszczyk, Magdalena E Hammer, Scott M Copenhaver, David J Kulkarni, Rajan P Int J Health Geogr Methodology BACKGROUND: Dengue fever is a mosquito-borne illness that places significant burden on tropical developing countries with unplanned urbanization. A surveillance system using Google Earth and GIS mapping technologies was developed in Nicaragua as a management tool. METHODS AND RESULTS: Satellite imagery of the town of Bluefields, Nicaragua captured from Google Earth was used to create a base-map in ArcGIS 9. Indices of larval infestation, locations of tire dumps, cemeteries, large areas of standing water, etc. that may act as larval development sites, and locations of the homes of dengue cases collected during routine epidemiologic surveying were overlaid onto this map. Visual imagery of the location of dengue cases, larval infestation, and locations of potential larval development sites were used by dengue control specialists to prioritize specific neighborhoods for targeted control interventions. CONCLUSION: This dengue surveillance program allows public health workers in resource-limited settings to accurately identify areas with high indices of mosquito infestation and interpret the spatial relationship of these areas with potential larval development sites such as garbage piles and large pools of standing water. As a result, it is possible to prioritize control strategies and to target interventions to highest risk areas in order to eliminate the likely origin of the mosquito vector. This program is well-suited for resource-limited settings since it utilizes readily available technologies that do not rely on Internet access for daily use and can easily be implemented in many developing countries for very little cost. BioMed Central 2009-07-23 /pmc/articles/PMC2729741/ /pubmed/19627614 http://dx.doi.org/10.1186/1476-072X-8-49 Text en Copyright © 2009 Chang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methodology
Chang, Aileen Y
Parrales, Maria E
Jimenez, Javier
Sobieszczyk, Magdalena E
Hammer, Scott M
Copenhaver, David J
Kulkarni, Rajan P
Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
title Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
title_full Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
title_fullStr Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
title_full_unstemmed Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
title_short Combining Google Earth and GIS mapping technologies in a dengue surveillance system for developing countries
title_sort combining google earth and gis mapping technologies in a dengue surveillance system for developing countries
topic Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2729741/
https://www.ncbi.nlm.nih.gov/pubmed/19627614
http://dx.doi.org/10.1186/1476-072X-8-49
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