Eliminating infectious diseases of livestock: a metapopulation model of infection control.
Abstract: When novel disease outbreaks occur in livestock, policy makers must respond promptly to eliminate disease, and are typically called on to make control decisions before detailed analysis of disease parameters can be undertaken. We present a flexible metapopulation model of disease spread that incorporates variation in livestock density and includes occasional high-mixing locations or events, such as markets or race meetings. Using probability generating functions derived from this branching process model, we compare the likely success of reactive control strategies in eliminating disease spread. We find that the optimal vaccine strategy varies according to the disease transmission rate, with homogeneous vaccination most effective for low transmission rates, and heterogeneous vaccination preferable for high levels of transmission. Quarantine combines well with vaccination, with the chance of disease elimination enhanced even for vaccines with low efficacy. Control decisions surrounding horse race meetings were of particular concern during the 2007 outbreak of equine influenza in Australia. We show that this type of high-mixing event is a powerful spread mechanism, even when the proportion of time spent at such events is low. If such locations remain open, elimination will require a highly effective vaccine with high coverage. However, a policy of banning animals from quarantined regions from attending such events can provide an effective alternative if full closure of events is economically or politically untenable.
Copyright © 2013 Elsevier Inc. All rights reserved.
Publication Date: 2013-03-04 PubMed ID: 23466402DOI: 10.1016/j.tpb.2013.02.002Google Scholar: Lookup
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- Journal Article
Summary
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The research article discusses the use of a mathematical model to determine effective strategies for controlling infectious disease outbreaks in livestock. The model takes into account factors like livestock density and events where high mixing of livestock occurs, and it compares reactive disease control strategies, finding that the best strategy varies depending on factors such as the rate of disease transmission.
Metapopulation Model of Disease Spread
- The research introduces a metapopulation model, which is a type of mathematical model used in epidemiology to simulate the spread and control of diseases within a population. This model is applied specifically to livestock populations.
- The model also considers variations in livestock density, or the number of animals per unit area. This is significant as variations in density can influence the spread of disease.
- The researchers also account for high-mixing locations or events, such as markets or race meetings. These events are characterized by the coming together of large numbers of animals, which can increase the probability of disease spread.
Comparing Control Strategies
- Using probability generating functions derived from their model, the researchers compare different control strategies. These include reactive strategies, where measures are employed after a disease outbreak has already begun.
- The study found that the optimal vaccine strategy depended on the disease transmission rate, indicating that responses need to be tailored according to specific disease characteristics.
- For low transmission rates, homogeneous vaccination – where all individuals receive the same vaccine – was most effective. Contrastingly, for high transmission rates, heterogeneous vaccination strategies – where different vaccines or doses are used among the population – were preferable.
Combination of Strategies
- The research also explores the combined implementation of quarantine measures with vaccination strategies.
- The findings suggest that quarantine measures can enhance the effectiveness of vaccinations in eliminating disease, even when the vaccines themselves have low efficacy.
Addressing High-mixing Events
- High-mixing events, such as horse race meetings, can act as powerful mechanisms for disease spread, even when they account for only a small proportion of the animals’ time.
- If high-mixing locations remain open during outbreaks, disease elimination will require a highly effective vaccine with extensive coverage among the population.
- However, banning animals from quarantined regions from attending these events offers an effective alternative control strategy, particularly if closing such events completely is economically or politically unfeasible.
Cite This Article
APA
Glass K, Barnes B.
(2013).
Eliminating infectious diseases of livestock: a metapopulation model of infection control.
Theor Popul Biol, 85, 63-72.
https://doi.org/10.1016/j.tpb.2013.02.002 Publication
Researcher Affiliations
- National Centre for Epidemiology and Population Health, Australian National University, Canberra, Australia. kathryn.glass@anu.edu.au
MeSH Terms
- Animal Diseases / prevention & control
- Animals
- Communicable Diseases / transmission
- Communicable Diseases / veterinary
- Infection Control / methods
- Livestock
- Models, Theoretical
- Quarantine
- Vaccination / veterinary
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