Use of the function semivariogram and kriging estimation in the spacial analysis of Aedes aegypti (Diptera: Culicidae) distributions
Keywords:
Aedes aegypti, models, statistical, epidemiological surveillance, disease vectors, risk map, Colombia
Abstract
Introduction. Aedes aegypti is the main vector of dengue in the Americas. The prevention and control of this disease require new monitoring techniques for this mosquito. Knowledge of the spatial and temporal distributions of A. aegypti populations allow the planning and evaluation of measures to decrease the vector-human contact.Objective. The spatial variation pattern of the A. aegypti container index (defined as the percentage of artificial containers infested with A. aegypti larva) was analyzed for the purpose of developing a graphical representation.
Materials and methods. Larval surveys were undertaken in every household of La Independencia neighborhood in May 2007 (Acacías-Meta). Spatial statistics employing the semivariogram function and kriging estimations were applied to these data.
Results. The experimental semivariogram output was adjusted to the gaussian mathematical model, whose sill was calculated to be 5.1, the range as 57.1 meters and the nugget as 0.01. A bidimensional graph of the kriging estimation was built, allowing the identification of the urban areas with highest container index.
Conclusion. The analysis of the container index and distribution map provided a useful tool in monitoring, evaluating and making control decisions concerning A. aegypti infestations.
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References
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13. Regis L, Monterior AM, Varial MA, Silveira JC Jr, Furtado AF, Acioli RV, et al. Developing new approaches for detecting and preventing Aedes aegypti population outbreaks: basis for surveillance, alert and control system. Mem Inst Oswaldo Cruz. 2008;103:50-9
14. Lagrotta M, Silva W, Souza-Santos R. Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguaçu, Rio de Janeiro State, Brazil. Cad. Saúde Pública. 2008;24:70-80.
15. Fantinatti E, Duque J, Silva A, Navarro-Silva M. Abundância e agregação de ovos de Aedes aegypti L. e Aedes albopictus (Skuse) (Diptera: Culicidae) no Norte e Noroeste do Paraná. Neotrop Entomol. 2007;36:960-5.
2. Tinker M, Olano V. Ecología del Aedes aegypti en un pueblo de Colombia, Sur América. Biomédica. 1993;13:5-14.
3. Fernández W, Iannacone J, Rodríguez E, Salazar N, Valderrama B, Morales A. Comportamiento poblacional de larvas de Aedes aegypti para estimar los casos de Dengue en Yurimaguas, Perú, 2000- 2004. Rev Peru Med Exp Salud Pública. 2005;22:175-82.
4. Taylor L. Assessing and interpreting the spatial distributions of insect populations. Annu Rev Entomol. 1984;29:321-57.
5. Niño L. Características de las comunidades de Diptera (Arthropoda: Insecta) y su relación con el paisaje en la altillanura de la Orinoquia (Meta, Colombia) (trabajo de grado). Bogotá D.C.: Universidad Nacional de Colombia; 2005. 6. Liebhold AM, Rossi RE, Kemp WP. Geostatistics and geographic information systems in applied insect ecology. Annu Rev Entomol. 1993;38:303-27.
7. Burrough P, MacDonell R. Principles of geographical information systems. New York: Oxford University Press; 1998.
8. Moral F. Aplicación de la geoestadística en las ciencias ambientales. Ecosistemas. 2004;13:78-86.
9. Isaaks E, Srivastava R. An introduction to applied geostatistics. New York: Oxford University Press; 1989.
10. Dale M, Dixon P, Fortin M, Legendre P, Myers D, Rosemberg M. Conceptual and mathematical relationships among methods for spatial analysis. Ecography. 2002;25:558-77.
11. Journel A, Huijbregts C. Mining geostatistics. New York: Academic Press; 1978.
12. Kyle J, Harris E. Global spread and persistence of dengue. Annu Rev Microbiol. 2008;62:71-92.
13. Regis L, Monterior AM, Varial MA, Silveira JC Jr, Furtado AF, Acioli RV, et al. Developing new approaches for detecting and preventing Aedes aegypti population outbreaks: basis for surveillance, alert and control system. Mem Inst Oswaldo Cruz. 2008;103:50-9
14. Lagrotta M, Silva W, Souza-Santos R. Identification of key areas for Aedes aegypti control through geoprocessing in Nova Iguaçu, Rio de Janeiro State, Brazil. Cad. Saúde Pública. 2008;24:70-80.
15. Fantinatti E, Duque J, Silva A, Navarro-Silva M. Abundância e agregação de ovos de Aedes aegypti L. e Aedes albopictus (Skuse) (Diptera: Culicidae) no Norte e Noroeste do Paraná. Neotrop Entomol. 2007;36:960-5.
How to Cite
1.
Niño L. Use of the function semivariogram and kriging estimation in the spacial analysis of Aedes aegypti (Diptera: Culicidae) distributions. Biomed. [Internet]. 2008 Dec. 1 [cited 2025 Apr. 4];28(4):578-86. Available from: https://revistabiomedicaorg.biteca.online/index.php/biomedica/article/view/64
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