Aplication of a k-medoids Algorithm to Dengue Mosquito Ovitramps Problem

Authors

  • María Beatríz Bernábe Loranca Benemérita Universidad Autónoma de Puebla
  • Marco Antonio Rodríguez Flores Benemérita Universidad Autónoma de Puebla
  • Elias Olivares Benitez Universidad Popular Autónoma del Estado de Puebla
  • David Pinto Avendaño Benemérita Universidad Autónoma de Puebla
  • José Luis Martínez Flores Universidad Popular Autónoma del Estado de Puebla

Keywords:

Cases, Clustering, Dengue, Mosquito, Ovitraps

Abstract

The efforts to locate the ovitraps in an homogenous way in a determined community must be redouble still, the reality is that the location of these depends too much of the will of the community and of the use that is given to the piece of land
where the ovitrap should be located.
Given that around the spot of the dengue cases the transmission is more probable (infected mosquitos) and that it’s been documented that vertical transmission exists (adult mosquito to eggs), to the viral and entomological vigilance of endemic communities is important to know and to monitor, through the research of the material obtained by the ovitraps, the strains of Dengue virus that circulate between the human population and the mosquito populations.
If the ovitraps were located according to a random representative design and homogenous in the community of study, the vigilance system described above would consist in studying the ovitraps in the range of flight of the mosquito (200 meters approximately). However, in reality this is not the case, therefore a probabilistic approximation is required to establish which ovitraps should be evaluated by the system of sanitary vigilance to have a higher probability of success in the diagnosis, making the process cost-efficient.
In this scenery, in accordance to the mobility of the mosquito, a clustering algorithm has been associated and adapted based in
P-means that promises to construct groups where the center of each group is a case and the closest ovitraps are associated to
establish a systematic and homogenous configuration of the relationship between a registered case and the ovitraps.

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Published

2013-01-01

How to Cite

María Beatríz Bernábe Loranca, Marco Antonio Rodríguez Flores, Elias Olivares Benitez, David Pinto Avendaño, & José Luis Martínez Flores. (2013). Aplication of a k-medoids Algorithm to Dengue Mosquito Ovitramps Problem. Journal of Network and Innovative Computing, 1, 10. Retrieved from https://cspub-jnic.org/index.php/jnic/article/view/16

Issue

Vol. 1 (2013)

Section

Original Article

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