Literature DB >> 25457133

Modeling the impact of vaccination control strategies on a foot and mouth disease outbreak in the Central United States.

Sara W McReynolds1, Michael W Sanderson2, Aaron Reeves3, Ashley E Hill4.   

Abstract

The central United States (U.S.) has a large livestock population including cattle, swine, sheep and goats. Simulation models were developed to assess the impact of livestock herd types and vaccination on foot and mouth disease (FMD) outbreaks using the North American Animal Disease Spread Model. In this study, potential FMD virus outbreaks in the central region of the U.S. were simulated to compare different vaccination strategies to a depopulation only scenario. Based on data from the U.S. Department of Agriculture National Agricultural Statistics Service, a simulated population of 151,620 livestock operations characterized by latitude and longitude, production type, and herd size was generated. For the simulations, a single 17,000 head feedlot was selected as the initial latently infected herd in an otherwise susceptible population. Direct and indirect contact rates between herds were based on survey data of livestock producers in Kansas and Colorado. Control methods included ring vaccination around infected herds. Feedlots ≥3000 head were either the only production type that was vaccinated or were assigned the highest vaccination priority. Simulated vaccination scenarios included low and high vaccine capacity, vaccination zones of 10 km or 50 km around detected infected premises, and vaccination trigger of 10 or 100 detected infected herds. Probability of transmission following indirect contact, movement controls and contact rate parameters were considered uncertain and so were the subjects of sensitivity analysis. All vaccination scenarios decreased number of herds depopulated but not all decreased outbreak duration. Increased size of the vaccination zone during an outbreak decreased the length of the outbreak and number of herds destroyed. Increased size of the vaccination zone primarily resulted in vaccinating feedlots ≥3000 head across a larger area. Increasing the vaccination capacity had a smaller impact on the outbreak and may not be feasible if vaccine production and delivery is limited. The ability to vaccinate all the production types surrounding an infected herd did not appear as beneficial as priority vaccination of feedlot production types that have high numbers of indirect contacts. Outbreak duration, number of herds depopulated and the effectiveness of vaccination were sensitive to indirect contact transmission probability and movement restrictions. The results of this study will provide information about the impacts of disease control protocols which may be useful in choosing the optimal control methods to meet the goals of rapid effective control and eradication.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Disease control; Disease eradication; Disease modeling; Foot and mouth disease

Mesh:

Year:  2014        PMID: 25457133     DOI: 10.1016/j.prevetmed.2014.10.005

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  6 in total

1.  Decision-making for foot-and-mouth disease control: Objectives matter.

Authors:  William J M Probert; Katriona Shea; Christopher J Fonnesbeck; Michael C Runge; Tim E Carpenter; Salome Dürr; M Graeme Garner; Neil Harvey; Mark A Stevenson; Colleen T Webb; Marleen Werkman; Michael J Tildesley; Matthew J Ferrari
Journal:  Epidemics       Date:  2015-12-10       Impact factor: 4.396

2.  Modeling Classical Swine Fever Outbreak-Related Outcomes.

Authors:  Shankar Yadav; Nicole J Olynk Widmar; Hsin-Yi Weng
Journal:  Front Vet Sci       Date:  2016-02-03

3.  Evaluation of Movement Restriction Zone Sizes in Controlling Classical Swine Fever Outbreaks.

Authors:  Shankar Yadav; Nicole Olynk Widmar; Donald C Lay; Candace Croney; Hsin-Yi Weng
Journal:  Front Vet Sci       Date:  2017-01-10

4.  Modeling Intervention Scenarios During Potential Foot-and-Mouth Disease Outbreaks Within U.S. Beef Feedlots.

Authors:  Aurelio H Cabezas; Michael W Sanderson; Victoriya V Volkova
Journal:  Front Vet Sci       Date:  2021-02-16

5.  Using heterogeneity in the population structure of U.S. swine farms to compare transmission models for porcine epidemic diarrhoea.

Authors:  Eamon B O'Dea; Harry Snelson; Shweta Bansal
Journal:  Sci Rep       Date:  2016-03-07       Impact factor: 4.379

6.  A Meta-Population Model of Potential Foot-and-Mouth Disease Transmission, Clinical Manifestation, and Detection Within U.S. Beef Feedlots.

Authors:  Aurelio H Cabezas; Michael W Sanderson; Victoriya V Volkova
Journal:  Front Vet Sci       Date:  2020-09-23
  6 in total

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