Imperial College London
Alternate

DrIsobelBlake

Faculty of Medicine, School of Public Health

Lecturer
 
 
 
//

Contact

 

isobel.blake

 
 
//

Location

 

Desk 1103Sir Michael Uren HubWhite City Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Blake:2014:10.1371/currents.outbreaks.6fd216fc24317f2ce04a7c5705a30c69,
author = {Blake, IM and Donnelly, CA},
doi = {10.1371/currents.outbreaks.6fd216fc24317f2ce04a7c5705a30c69},
journal = {PLoS Curr},
title = {A simple incidence-based method to avoid misinterpretation of bovine tuberculosis incidence trends in great britain.},
url = {http://dx.doi.org/10.1371/currents.outbreaks.6fd216fc24317f2ce04a7c5705a30c69},
volume = {6},
year = {2014}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The incidence of bovine tuberculosis (TB) in Great Britain has generally been increasing in recent decades. Routine ante-mortem testing of cattle herds is required for disease surveillance and control, due to the asymptomatic nature of the infection. The Department for Environment, Food and Rural Affairs (Defra) publishes TB incidence trends as the percentage of officially TB-free (OTF) herds tested per month with OTF status withdrawn due to post-mortem evidence of infection. This method can result in artefactual fluctuations. We have previously demonstrated an alternative method, that distributes incidents equally over the period of risk, provides a more accurate representation of underlying risk. However, this method is complex and it may not be sufficiently straightforward for use in the national statistics. Here we present a simple incidence-based method that adjusts for the time between tests and show it can provide a reasonable representation of the underlying risk without artefactual fluctuations.
AU  - Blake,IM
AU  - Donnelly,CA
DO  - 10.1371/currents.outbreaks.6fd216fc24317f2ce04a7c5705a30c69
PY  - 2014///
TI  - A simple incidence-based method to avoid misinterpretation of bovine tuberculosis incidence trends in great britain.
T2  - PLoS Curr
UR  - http://dx.doi.org/10.1371/currents.outbreaks.6fd216fc24317f2ce04a7c5705a30c69
UR  - https://www.ncbi.nlm.nih.gov/pubmed/24498536
VL  - 6
ER  -
Download