Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 6 de 6
Filter
Add more filters










Database
Language
Publication year range
1.
Epidemiol Infect ; 146(9): 1138-1150, 2018 07.
Article in English | MEDLINE | ID: mdl-29785893

ABSTRACT

Vaccination is increasingly being recognised as a potential tool to supplement 'stamping out' for controlling foot-and-mouth disease (FMD) outbreaks in non-endemic countries. Infectious disease simulation models provide the opportunity to determine how vaccination might be used in the face of an FMD outbreak. Previously, consistent relative benefits of specific vaccination strategies across different FMD simulation modelling platforms have been demonstrated, using a UK FMD outbreak scenario. We extended this work to assess the relative effectiveness of selected vaccination strategies in five countries: Australia, New Zealand, the USA, the UK and Canada. A comparable, but not identical, FMD outbreak scenario was developed for each country with initial seeding of Pan Asia type O FMD virus into an area with a relatively high density of livestock farms. A series of vaccination strategies (in addition to stamping out (SO)) were selected to evaluate key areas of interest from a disease response perspective, including timing of vaccination, species considerations (e.g. vaccination of only those farms with cattle), risk area vaccination and resources available for vaccination. The study found that vaccination used with SO was effective in reducing epidemic size and duration in a severe outbreak situation. Early vaccination and unconstrained resources for vaccination consistently outperformed other strategies. Vaccination of only those farms with cattle produced comparable results, with some countries demonstrating that this could be as effective as all species vaccination. Restriction of vaccination to higher risk areas was less effective than other strategies. This study demonstrates consistency in the relative effectiveness of selected vaccination strategies under different outbreak start up conditions conditional on the assumption that each of the simulation models provide a realistic estimation of FMD virus spread. Preferred outbreak management approaches must however balance the principles identified in this study, working to clearly defined outbreak management objectives, while having a good understanding of logistic requirements and the socio-economic implications of different control measures.


Subject(s)
Computer Simulation , Disease Outbreaks/veterinary , Foot-and-Mouth Disease/prevention & control , Models, Biological , Vaccination/veterinary , Animals , Australia/epidemiology , Canada/epidemiology , Cattle , Disease Outbreaks/prevention & control , Foot-and-Mouth Disease/epidemiology , Foot-and-Mouth Disease/transmission , Linear Models , Multivariate Analysis , New Zealand/epidemiology , United Kingdom/epidemiology , United States/epidemiology
2.
Rev Sci Tech ; 30(2): 391-405, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21961212

ABSTRACT

The papers in this issue of the Scientific and Technical Review (the Review) examine uses of modelling as a tool to supportthe formulation of disease control policy and applications of models for various aspects of animal disease management. Different issues in model development and several types of models are described. The experience with modelling during the 2001 foot and mouth disease outbreak in the United Kingdom underlines how models might be appropriately applied by decision-makers when preparing for and dealing with animal health emergencies. This paper outlines the involvement of the World Organisation for Animal Health (OIE) in epidemiological modelling since 2005, with emphasis on the outcome of the 2007 questionnaire survey of model usage among Member Countries, the subsequent OIE General Session resolution and the 2008 epidemiological modelling workshop at the Centers for Epidemiology and Animal Health in the United States. Many of the workshop presentations were developed into the papers that are presented in this issue of the Review.


Subject(s)
Animal Diseases/epidemiology , Epidemics/veterinary , Global Health/statistics & numerical data , Models, Biological , Animal Diseases/prevention & control , Animals , Epidemics/prevention & control , Epidemics/statistics & numerical data , Foot-and-Mouth Disease/epidemiology , International Cooperation , Societies, Scientific/organization & administration , Societies, Scientific/trends , Surveys and Questionnaires , United Kingdom/epidemiology
3.
Rev Sci Tech ; 30(2): 547-54, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21961225

ABSTRACT

Over the past decade there has been a notable increase in the magnitude and variety of modelling work in the realm of animal health. Similarly, there has been an increase in the extent to which modelling is used as a component in the development of animal health policy. The increased dependency on modelling creates a need to enhance understanding and linkages between policy-makers (those that pose the policy or scientific questions, commission modelling work and use model outputs in the development of policy), intermediaries (those that are responsible for working with modellers and communicating model results to policy-makers), and modellers. Development of a lexicon of disease spread modelling terms can help support clear communication and collaboration between all players.


Subject(s)
Disease Transmission, Infectious , Models, Biological , Animals , Humans
4.
Rev Sci Tech ; 30(2): 541-5, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21961224

ABSTRACT

The degree of disease risk represented by the introduction, spread, or establishment of one or several diseases through the importation of animals and animal products is assessed by importing countries through an analysis of risk. The components of a risk analysis include hazard identification, risk assessment, risk management, and risk communication. A risk assessment starts with identification of the hazard(s) and then continues with four interrelated steps: release assessment, exposure assessment, consequence assessment, and risk estimation. Risk assessments may be either qualitative or quantitative. This paper describes how, through the integration of epidemiological and economic models, the potential adverse biological and economic consequences of exposure can be quantified.


Subject(s)
Animal Diseases/epidemiology , Commerce/organization & administration , Models, Biological , Models, Economic , Animal Diseases/economics , Animal Diseases/transmission , Animals , Birds , Commerce/legislation & jurisprudence , Computer Simulation , Influenza A Virus, H5N1 Subtype , Influenza in Birds/economics , Influenza in Birds/epidemiology , Influenza in Birds/transmission , Risk , Risk Assessment , Stochastic Processes , United Nations
5.
Rev Sci Tech ; 30(2): 527-40, 2011 Aug.
Article in English | MEDLINE | ID: mdl-21961223

ABSTRACT

Researchers from Australia, New Zealand, Canada and the United States collaborated to validate their foot and mouth disease models--AusSpread, InterSpread Plus and the North American Animal Disease Spread Model--in an effort to build confidence in their use as decision-support tools. The final stage of this project involved using the three models to simulate a number of disease outbreak scenarios, with data from the Republic of Ireland. The scenarios included an uncontrolled epidemic, and epidemics managed by combinations of stamping out and vaccination. The predicted numbers of infected premises, the duration of each epidemic, and the size of predicted outbreak areas were compared. Relative within-model between-scenario changes resulting from different control strategies or resource constraints in different scenarios were quantified and compared. Although there were differences between the models in absolute outcomes, between-scenario comparisons within each model were similar. In all three models, early use of ring vaccination resulted in the largest drop in number of infected premises compared with the standard stamping-out regimen. This consistency implies that the assumptions made by each of the three modelling teams were appropriate, which in turn serves to increase end-user confidence in predictions made by these models.


Subject(s)
Computer Simulation/standards , Disease Outbreaks/veterinary , Foot-and-Mouth Disease/epidemiology , Livestock , Models, Biological , Animal Husbandry/standards , Animal Husbandry/statistics & numerical data , Animals , Australia , Canada , Disease Outbreaks/statistics & numerical data , Foot-and-Mouth Disease/transmission , International Cooperation , Ireland/epidemiology , New Zealand , Reproducibility of Results , Statistics, Nonparametric , United States
6.
Prev Vet Med ; 90(3-4): 204-10, 2009 Aug 01.
Article in English | MEDLINE | ID: mdl-19501925

ABSTRACT

The National Animal Health Monitoring System (NAHMS) Small-Enterprise Chicken study was conducted to better understand bird movement and biosecurity practices of commercial poultry operations having fewer than 20,000 chickens. A stratified random sample of 2511 operations having 1000-19,999 chickens was selected from a list maintained by the National Agricultural Statistics Service (NASS), based primarily upon data from the 2002 Census of Agriculture; 1789 (72.1%) operations participated in the study. Over one-half of operations were contract operations with breeding birds, and one-fourth were contract operations without breeding birds. Only 17% of operations were independent (noncontract) operations. Independent operations were primarily table-egg producers and to a lesser extent, growers. Independent operations were more likely to have birds other than chickens, to allow outdoor access to birds, and had less stringent biosecurity requirements compared to contract operations.


Subject(s)
Animal Husbandry/economics , Chickens , Animal Husbandry/methods , Animals , Data Collection , Socioeconomic Factors , Surveys and Questionnaires , United States , United States Department of Agriculture
SELECTION OF CITATIONS
SEARCH DETAIL
...