Inferring within-herd transmission parameters for African swine fever virus using mortality data from outbreaks in the Russian Federation

C Guinat, Thibaud Porphyre, A Gogin, L. Dixon, D Pfeiffer, Simon Gubbins

Research output: Contribution to journalArticlepeer-review

Abstract

Mortality data are routinely collected for many livestock and poultry species, and they are often used for epidemiological purposes, including estimating transmission parameters. In this study, we infer transmission rates for African swine fever virus (ASFV), an important transboundary disease of swine, using mortality data collected from nine pig herds in the Russian Federation with confirmed outbreaks of ASFV. Parameters in a stochastic model for the transmission of ASFV within a herd were estimated using approximate Bayesian computation. Estimates for the basic reproduction number varied amongst herds, ranging from 4.4 to 17.3. This was primarily a consequence of differences in transmission rate (range: 0.7-2.2), but also differences in the mean infectious period (range: 4.5-8.3 days). We also found differences amongst herds in the mean latent period (range: 5.8-9.7 days). Furthermore, our results suggest that ASFV could be circulating in a herd for several weeks before a substantial increase in mortality is observed in a herd, limiting the usefulness of mortality data as a means of early detection of an outbreak. However, our results also show that mortality data are a potential source of data from which to infer transmission parameters, at least for diseases which cause high mortality.
Original languageEnglish
Pages (from-to)e264-e271
JournalTransboundary and Emerging Diseases
Volume65
Issue number2
Early online date9 Nov 2017
DOIs
Publication statusPublished - Apr 2018

Keywords

  • epidemiology
  • modelling
  • pigs
  • mortality data
  • approximate Bayesian computation
  • disease control

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