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Spatial association of canine rabies outbreak and ecological urban corridors, Arequipa, Peru

  • Ricardo Castillo-Neyra
  • , Edith Zegarra
  • , Ynes Monroy
  • , Reyno F. Bernedo
  • , Ismael Cornejo-Rosello
  • , Valerie A. Paz-Soldan
  • , Michael Z. Levy
  • Perelman School of Medicine at University of Pennsylvania
  • Ministry of Health of Peru
  • Tulane University School of Public Health and Tropical Medicine
  • Universidad Peruana Cayetano Heredia

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

In the city of Arequipa, Peru, a rabid dog was detected in March 2015, marking the reintroduction of the rabies virus in the area; more rabid dogs have been detected since then. The presence of free-roaming dogs in Arequipa seems to be higher in dry water channels, which are widespread in the city. We created a geographic information system (GIS) with surveillance data on the location of rabid dogs detected during the first year of the outbreak, as well as the water channels. We conducted a spatial analysis using Monte Carlo simulations to determine if detected rabid dogs were closer to the water channels than expected. Thirty rabid dogs were detected during the first year of the outbreak, and they were statistically associated with the water channels (average distance to closest water channel = 334 m; p-value = 0.027). Water channels might play a role in the ecology of free-roaming dog populations, functioning as ecological corridors. Landscape ecology could assist in understanding the impact of these urban structures on control activities and the persistence of transmission.

Original languageEnglish
Article number38
JournalTropical Medicine and Infectious Disease
Volume2
Issue number3
DOIs
StatePublished - 13 Aug 2017

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

  • Dogs
  • GIS
  • Geographical information system
  • Monte Carlo method
  • Rabies
  • Spatial analysis
  • Zoonosis

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