scholarly journals Correction for Nelson et al., “Predicting the Ability of Preclinical Diagnosis To Improve Control of Farm-to-Farm Foot-and-Mouth Disease Transmission in Cattle”

2017 ◽  
Vol 55 (10) ◽  
pp. 3146-3146
Author(s):  
Noel Nelson ◽  
David J. Paton ◽  
Simon Gubbins ◽  
Claire Colenutt ◽  
Emma Brown ◽  
...  
2017 ◽  
Vol 55 (6) ◽  
pp. 1671-1681 ◽  
Author(s):  
Noel Nelson ◽  
David J. Paton ◽  
Simon Gubbins ◽  
Claire Colenutt ◽  
Emma Brown ◽  
...  

ABSTRACT Foot-and-mouth disease (FMD) can cause large disruptive epidemics in livestock. Current eradication measures rely on the rapid clinical detection and removal of infected herds. Here, we evaluated the potential for preclinical diagnosis during reactive surveillance to reduce the risk of between-farm transmission. We used data from transmission experiments in cattle where both samples from individual animals, such as blood, probang samples, and saliva and nasal swabs, and herd-level samples, such as air samples, were taken daily during the course of infection. The sensitivity of each of these sample types for the detection of infected cattle during different phases of the early infection period was quantified. The results were incorporated into a mathematical model for FMD, in a cattle herd, to evaluate the impact of the early detection and culling of an infected herd on the infectious output. The latter was expressed as the between-herd reproduction ratio, R h , where an effective surveillance approach would lead to a reduction in the R h value to <1. Applying weekly surveillance, clinical inspection alone was found to be ineffective at blocking transmission. This was in contrast to the impact of weekly random sampling (i.e., using saliva swabs) of at least 10 animals per farm or daily air sampling (housed cattle), both of which were shown to reduce the R h to <1. In conclusion, preclinical detection during outbreaks has the potential to allow earlier culling of infected herds and thereby reduce transmission and aid the control of epidemics.


2018 ◽  
Vol 157 ◽  
pp. 8-18 ◽  
Author(s):  
Sibylle Mohr ◽  
Michael Deason ◽  
Mikhail Churakov ◽  
Thomas Doherty ◽  
Rowland R. Kao

2019 ◽  
Vol 10 (1) ◽  
pp. 20190054 ◽  
Author(s):  
Kimberly Tsao ◽  
Stefan Sellman ◽  
Lindsay M. Beck-Johnson ◽  
Deedra J. Murrieta ◽  
Clayton Hallman ◽  
...  

Foot-and-mouth disease (FMD) is a fast-spreading viral infection that can produce large and costly outbreaks in livestock populations. Transmission occurs at multiple spatial scales, as can the actions used to control outbreaks. The US cattle industry is spatially expansive, with heterogeneous distributions of animals and infrastructure. We have developed a model that incorporates the effects of scale for both disease transmission and control actions, applied here in simulating FMD outbreaks in US cattle. We simulated infection initiating in each of the 3049 counties in the contiguous US, 100 times per county. When initial infection was located in specific regions, large outbreaks were more likely to occur, driven by infrastructure and other demographic attributes such as premises clustering and number of cattle on premises. Sensitivity analyses suggest these attributes had more impact on outbreak metrics than the ranges of estimated disease parameter values. Additionally, although shipping accounted for a small percentage of overall transmission, areas receiving the most animal shipments tended to have other attributes that increase the probability of large outbreaks. The importance of including spatial and demographic heterogeneity in modelling outbreak trajectories and control actions is illustrated by specific regions consistently producing larger outbreaks than others.


2018 ◽  
Vol 99 (6) ◽  
pp. 1625-1632 ◽  
Author(s):  
Yirong Chen ◽  
Hishamuddin Badaruddin ◽  
Vernon J. Lee ◽  
Jeffery Cutter ◽  
Alex R. Cook

1996 ◽  
Vol 116 (3) ◽  
pp. 363-371 ◽  
Author(s):  
M. E. J. Woolhouse ◽  
D. T. Haydon ◽  
A. Pearson ◽  
R. P. Kitching

SUMMARYOutbreaks of foot-and-mouth disease persist in dairy cattle herds in Saudi Arabia despite revaccination at intervals of 4–6 months. Vaccine trials provide data on antibody responses following vaccination. Using this information we developed a mathematical model of the decay of protective antibodies with which we estimated the fraction of susceptible animals at a given time after vaccination. The model describes the data well, suggesting over 95% take with an antibody half-life of 43 days. Farm records provided data on the time course of five outbreaks. We applied a ‘SLIR’ epidemiological model to these data, fitting a single parameter representing disease transmission rate. The analysis provides estimates of the basic reproduction number,R0, which may exceed 70 in some cases. We conclude that the critical intervaccination interval which would provide herd immunity against FMDV is unrealistically short, especially for heterologous challenge. We suggest that it may not be possible to prevent foot-and-mouth disease outbreaks on these farms using currently available vaccines.


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