Spatial Distribution of Dengue Based on Geographic Information Systems Tools, Aburra Valley

Authors

  • Libardo A. Londoño C. Jaime Isaza Cadavid Colombian Polytechnic
  • Carolina Restrepo E. University of San Buenaventura
  • Elisabeth Marulanda O. University of San Buenaventura

DOI:

https://doi.org/10.17533/udea.rfnsp.15464

Keywords:

dengue, goegraphical information systems, distribution patterns

Abstract

Tropical diseases are infections caused by mosquitoes and flies which transmit parasites, bacteria or viruses of people. One of these diseases is dengue, which particularly attacks those living in poor or marginalized conditions, proliferating in places lacking basic sanitation, which has significantly increased the number of cases. Objective: Geographic Information Systems (GIS) were used in this paper for the purpose of modeling the spatial distribution patterns of tropical diseases. Monthly reports on dengue from the years 2008, 2009 and 2011 in the Aburrá valley, under the jurisdiction of Medellín, Colombia, were taken as a case study. Methodology: Dengue cases of which the Medellín Health Secretary was notified were spatially located using the addresses of the patients' homes. ArcGis 10 software was used to geo-spatially locate the cases, while IDW and Slope spatial analysis tools were employed to demonstrate that the dengue phenomenon complies with the principle of spatial auto-correlation. Results and discussion: The disease shows spatial patterns in the south-west sector of Medellín; the Altavista township and the Belén and Guayabal municipalities, and it would be of great interest to study this phenomenon with environmental variables and to have more tools available for decision-making in activities for preventing dengue.
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Author Biographies

Libardo A. Londoño C., Jaime Isaza Cadavid Colombian Polytechnic

Petroleum Engineer, Specialist in Geographic Information System (GIS), University of San Buenaventura, Dean of the Faculty of Engineering of the Jaime Isaza Cadavid Colombian Polytechnic, Medellín, Colombia.

Carolina Restrepo E., University of San Buenaventura

Manager in health information systems, student of the Specialization in Geographic Information Systems (GIS), University of San Buenaventura, Medellín, Colombia.

Elisabeth Marulanda O., University of San Buenaventura

Chemical engineer, student of the Specialization in Geographic Information Systems (GIS), University of San Buenaventura, Medellín, Colombia.

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Published

2014-02-03

How to Cite

1.
Londoño C. LA, Restrepo E. C, Marulanda O. E. Spatial Distribution of Dengue Based on Geographic Information Systems Tools, Aburra Valley. Rev. Fac. Nac. Salud Pública [Internet]. 2014 Feb. 3 [cited 2025 Apr. 9];32(1):7-15. Available from: https://revistas.udea.edu.co/index.php/fnsp/article/view/15464

Issue

Vol. 32 No. 1 (2014)

Section

Research

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