Literature DB >> 10588003

EpiMAN-FMD: a decision support system for managing epidemics of vesicular disease.

R L Sanson1, R S Morris, M W Stern.   

Abstract

A comprehensive epidemiological information system (EpiMAN-FMD) has been developed to assist national disease control authorities contain and eradicate outbreaks of animal diseases as efficiently and cost-effectively as possible. The system was initially developed to control an incursion of foot and mouth disease (FMD) or any clinically indistinguishable vesicular disease, although it has since been progressively expanded to manage other exotic and endemic diseases. Design objectives for the information management elements of EpiMAN-FMD included the following: the need to manage the vast quantities of data that eradication procedures for an FMD epidemic would generate within a very short time the ability to innovatively apply epidemiological understanding of disease spread to the data processing tasks the reduction of some of the foreseen processing bottlenecks the provision of decision support tools for data entry personnel. Design objectives for the veterinary management elements of the system included the following: the presentation of up-to-date status reports in formats that facilitate decision-making at the national or regional level the ability to optimise manpower resource allocation the capacity to evaluate the relative merits of alternative technical decisions, each of which carry different implicit risks. The system combines a multi-user database management system, expert system elements, various computer simulation models of specific aspects of FMD epidemiology and a range of statistical analyses designed to monitor the state of the epidemic. Although designed in New Zealand, EpiMAN-FMD has been constructed in a flexible style which makes adoption of the system possible in other countries with broadly similar 'stamping-out' contingency plans.

Entities:  

Mesh:

Year:  1999        PMID: 10588003     DOI: 10.20506/rst.18.3.1181

Source DB:  PubMed          Journal:  Rev Sci Tech        ISSN: 0253-1933            Impact factor:   1.181


  4 in total

Review 1.  Models of foot-and-mouth disease.

Authors:  Matt J Keeling
Journal:  Proc Biol Sci       Date:  2005-06-22       Impact factor: 5.349

2.  Big data-based risk assessment of poultry farms during the 2020/2021 highly pathogenic avian influenza epidemic in Korea.

Authors:  Hachung Yoon; Ilseob Lee; Hyeonjeong Kang; Kyung-Sook Kim; Eunesub Lee
Journal:  PLoS One       Date:  2022-06-07       Impact factor: 3.752

3.  Estimated Dissemination Ratio-A Practical Alternative to the Reproduction Number for Infectious Diseases.

Authors:  Francisco J Pérez-Reche; Nick Taylor; Chris McGuigan; Philip Conaglen; Ken J Forbes; Norval J C Strachan; Naomi Honhold
Journal:  Front Public Health       Date:  2021-07-14

4.  The Biosurveillance Analytics Resource Directory (BARD): Facilitating the Use of Epidemiological Models for Infectious Disease Surveillance.

Authors:  Kristen J Margevicius; Nicholas Generous; Esteban Abeyta; Ben Althouse; Howard Burkom; Lauren Castro; Ashlynn Daughton; Sara Y Del Valle; Geoffrey Fairchild; James M Hyman; Richard Kiang; Andrew P Morse; Carmen M Pancerella; Laura Pullum; Arvind Ramanathan; Jeffrey Schlegelmilch; Aaron Scott; Kirsten J Taylor-McCabe; Alessandro Vespignani; Alina Deshpande
Journal:  PLoS One       Date:  2016-01-28       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.