Literature DB >> 16188334

Spatial statistical modeling of disease outbreaks with particular reference to the UK foot and mouth disease (FMD) epidemic of 2001.

A B Lawson1, H Zhou.   

Abstract

In this paper we examine issues relating to the analysis of spatially-referenced disease data. Initially, we discuss the use of exploratory statistical tools such as density estimation and nonparametric regression. We then consider the need for descriptive epidemic models in space, time, and space-time models for epidemic dynamics. Implicitly space-time must be considered in any analysis of the spatial structure of epidemics. The use of Bayesian models for disease spread is discussed and applied to the recent foot and mouth outbreak in the UK.

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Year:  2005        PMID: 16188334     DOI: 10.1016/j.prevetmed.2005.07.002

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


  5 in total

1.  Bayesian spatiotemporal analysis of foot-and-mouth disease data from the Republic of Turkey.

Authors:  A J Branscum; A M Perez; W O Johnson; M C Thurmond
Journal:  Epidemiol Infect       Date:  2007-07-05       Impact factor: 2.451

2.  Brazilian foot and mouth disease status and meat exportation to the European Union.

Authors:  Luiz Felipe Ramos Carvalho; Cristiano Barros de Melo; Luiza Seixas; Concepta McManus
Journal:  Trop Anim Health Prod       Date:  2013-12-15       Impact factor: 1.559

3.  Assessing North American influenza dynamics with a statistical SIRS model.

Authors:  Mevin B Hooten; Jessica Anderson; Lance A Waller
Journal:  Spat Spatiotemporal Epidemiol       Date:  2010-07

4.  Bayesian hierarchical models for disease mapping applied to contagious pathologies.

Authors:  Sylvain Coly; Myriam Garrido; David Abrial; Anne-Françoise Yao
Journal:  PLoS One       Date:  2021-01-13       Impact factor: 3.240

Review 5.  Biothreat Reduction and Economic Development: The Case of Animal Husbandry in Central Asia.

Authors:  Robert Walker; Jason Blackburn
Journal:  Front Public Health       Date:  2015-12-23
  5 in total

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