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The Effects of City Streets on an Urban Disease Vector

Author

Listed:
  • Corentin M Barbu
  • Andrew Hong
  • Jennifer M Manne
  • Dylan S Small
  • Javier E Quintanilla Calderón
  • Karthik Sethuraman
  • Víctor Quispe-Machaca
  • Jenny Ancca-Juárez
  • Juan G Cornejo del Carpio
  • Fernando S Málaga Chavez
  • César Náquira
  • Michael Z Levy

Abstract

With increasing urbanization vector-borne diseases are quickly developing in cities, and urban control strategies are needed. If streets are shown to be barriers to disease vectors, city blocks could be used as a convenient and relevant spatial unit of study and control. Unfortunately, existing spatial analysis tools do not allow for assessment of the impact of an urban grid on the presence of disease agents. Here, we first propose a method to test for the significance of the impact of streets on vector infestation based on a decomposition of Moran's spatial autocorrelation index; and second, develop a Gaussian Field Latent Class model to finely describe the effect of streets while controlling for cofactors and imperfect detection of vectors. We apply these methods to cross-sectional data of infestation by the Chagas disease vector Triatoma infestans in the city of Arequipa, Peru. Our Moran's decomposition test reveals that the distribution of T. infestans in this urban environment is significantly constrained by streets (p

Suggested Citation

  • Corentin M Barbu & Andrew Hong & Jennifer M Manne & Dylan S Small & Javier E Quintanilla Calderón & Karthik Sethuraman & Víctor Quispe-Machaca & Jenny Ancca-Juárez & Juan G Cornejo del Carpio & Fernan, 2013. "The Effects of City Streets on an Urban Disease Vector," PLOS Computational Biology, Public Library of Science, vol. 9(1), pages 1-9, January.
    • Handle: RePEc:plo:pcbi00:1002801
    DOI: 10.1371/journal.pcbi.1002801
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    References listed on IDEAS

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    1. Maneerat, Somsakun & Daudé, Eric, 2016. "A spatial agent-based simulation model of the dengue vector Aedes aegypti to explore its population dynamics in urban areas," Ecological Modelling, Elsevier, vol. 333(C), pages 66-78.

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