Identification

Name

Between Farm-Animal Spatial Transmission

Short name

Be-FAST

Contact people
(1) Beatriz Martínez-López, beamartinezlopez@ucdavis.edu
Created

2014-03-25 20:02:13+00:00

Modified

2015-12-03 23:55:50.282345+00:00

Overview

Types
(1) Disease Dynamics
Overview

This spatial stochastic model simulates both the within- and between-farm transmission of classical swine fever (CSFV). This model can be used for decision support and the development of control strategies for the introduction of the disease into disease-free regions.

Question

What is the extent of an epidemic of CSFV and how effective are various control measures?

Purpose

Forecasting

Goals
(1) Consequence management
(2) Early detection
(3) Early warning
(4) Situational awareness
Decision support

Unknown

Based on
Products
(1) Control strategy
(2) Epidemic Spread
Documents
(1) Document Martínez-López B, Ivorra B, Ramos AM, Sanchez-Vizcaino JM: A novel spatial and stochastic model … (2011)
Notes
(2) Document Martínez-López B, Ivorra B, Ramos AM, Sanchez-Vizcaino JM: A novel spatial and stochastic model … (2012)
Notes
(3) Document Ivorra B, Martinez-Lopez B, Ramos AM, Sanchez-Vizcaino JM: Modeling classical swine fever spread… (2009)
Notes

Application

Diseases
(1) Classical swine fever
Locations
(1) Location Spain
Status current
(2) Location Bulgaria
Status

Utility and readiness

Organizations
(1) Organization Ministry of Science and Innovation (Spain)
Role Funding support
(2) Organization Regional Government of Castile and Leon Region (JCyL)
Role
(3) Organization Ministry of the Environment and Rural and Marine Affairs (Spain) (MARM)
Role
Compared to model

Yes

Compared to reality

Yes

Verification & validation notes

Validated and verified with ground truth data

Sensitivity analysis

Yes

Uncertainty documented

Yes

Availability

Implementation language

R

Developer contacted

No

Input

Input datasets
(1) Name Input Variables: Expert Opinion CyL Veterinary Services
Category Personal Communication
Subject
URL
Notes
(2) Name Registered Farms and Movements
Category Established Databases
Subject
URL
Notes