Modeling the effects of duration and size of the control zones on the consequences of a hypothetical African Swine fever epidemic in Denmark

Tariq Halasa*, Anette Bøtner, Sten Mortensen, Hanne Christensen, Sisse Birk Wulff, Anette Boklund

*Corresponding author for this work
7 Citations (Scopus)

Abstract

African swine fever (ASF) is a notifiable infectious disease. The disease is endemic in certain regions in Eastern Europe constituting a risk of ASF spread toward Western Europe. Therefore, as part of contingency planning, it is important to continuously explore strategies that can effectively control an epidemic of ASF. A previously published and well documented simulation model for ASF virus spread between herds was used to examine the epidemiologic and economic impacts of the duration and size of the control zones around affected herds. In the current study, scenarios were run, where the duration of the protection and surveillance zones were reduced from 50 and 45 days to 35 and 25 days or to 35 and 25 days, respectively. These scenarios were run with or without enlargement of the surveillance zone around detected herds from 10 to 15 km. The scenarios were also run with only clinical or clinical and serological surveillance of herds within the zones. Sensitivity analysis was conducted on influential input parameters in the model. The model predicts that reducing the duration of the protection and surveillance zones has no impact on the epidemiological consequences of the epidemics, while it may result in a substantial reduction in the total economic losses. In addition, the model predicts that increasing the size of the surveillance zone from 10 to 15 km may reduce both the epidemic duration and the total economic losses, in case of large epidemics. The ranking of the control strategies by the total costs of the epidemics was not influenced by changes of input parameters in the sensitivity analyses.

Original languageEnglish
Article number49
JournalFrontiers in Veterinary Science
Volume5
ISSN2297-1769
DOIs
Publication statusPublished - 19 Mar 2018
Externally publishedYes

Keywords

  • African swine fever
  • Control
  • Model
  • Simulation
  • Surveillance

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