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A compartment and metapopulation model of Rocky Mountain spotted fever in southwestern United States and northern Mexico.
Backus, Laura; Foley, Patrick; Foley, Janet.
Affiliation
  • Backus L; School of Veterinary Medicine, Department of Medicine and Epidemiology, University of California, Davis, CA, USA.
  • Foley P; Department of Biological Sciences, California State University, Sacramento, CA, USA.
  • Foley J; School of Veterinary Medicine, Department of Medicine and Epidemiology, University of California, Davis, CA, USA.
Infect Dis Model ; 9(3): 713-727, 2024 Sep.
Article in En | MEDLINE | ID: mdl-38659493
ABSTRACT
Rocky Mountain spotted fever (RMSF) is a fatal tick-borne zoonotic disease that has emerged as an epidemic in western North America since the turn of the 21st century. Along the US south-western border and across northern Mexico, the brown dog tick, Rhipicephalus sanguineus, is responsible for spreading the disease between dogs and humans. The widespread nature of the disease and the ongoing epidemics contrast with historically sporadic patterns of the disease. Because dogs are amplifying hosts for the Rickettsia rickettsii bacteria, transmission dynamics between dogs and ticks are critical for understanding the epidemic. In this paper, we developed a compartment metapopulation model and used it to explore the dynamics and drivers of RMSF in dogs and brown dog ticks in a theoretical region in western North America. We discovered that there is an extended lag-as much as two years-between introduction of the pathogen to a naïve population and epidemic-level transmission, suggesting that infected ticks could disseminate extensively before disease is detected. A single large city-size population of dogs was sufficient to maintain the disease over a decade and serve as a source for disease in surrounding smaller towns. This model is a novel tool that can be used to identify high risk areas and key intervention points for epidemic RMSF spread by brown dog ticks.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Country/Region as subject: Mexico Language: En Journal: Infect Dis Model Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Country/Region as subject: Mexico Language: En Journal: Infect Dis Model Year: 2024 Document type: Article Affiliation country: