Empirical Estimation of R0 for Unknown Transmission Functions: The Case of Chronic Wasting Disease in Alberta

PLoS One. 2015 Oct 9;10(10):e0140024. doi: 10.1371/journal.pone.0140024. eCollection 2015.

Abstract

We consider the problem of estimating the basic reproduction number R0 from data on prevalence dynamics at the beginning of a disease outbreak. We derive discrete and continuous time models, some coefficients of which are to be fitted from data. We show that prevalence of the disease is sufficient to determine R0. We apply this method to chronic wasting disease spread in Alberta determining a range of possible R0 and their sensitivity to the probability of deer annual survival.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Alberta / epidemiology
  • Animals
  • Basic Reproduction Number / statistics & numerical data*
  • Basic Reproduction Number / veterinary
  • Deer
  • Empirical Research*
  • Humans
  • Models, Statistical
  • Models, Theoretical
  • Statistics as Topic
  • Wasting Disease, Chronic / epidemiology*
  • Wasting Disease, Chronic / transmission

Grants and funding

This work has been supported by Alberta Prion Research Institute and Alberta Innovation through grants (E. Merrill: RES0004230), Natural Sciences and Engineering Research Council of Canada Discovery Grants (EM, MAL) Alberta Conservation Association Grant (EM,AP), and an NSERC Accelerator Grant, a Killam Research Fellowship and a Canada Research Chair to MAL. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.