Literature DB >> 16814886

Spatial distribution of foot-and-mouth disease in Pakistan estimated using imperfect data.

Andres M Perez1, Mark C Thurmond, Tim E Carpenter.   

Abstract

We estimated the spatial distribution of foot-and-mouth disease (FMD) in Pakistan; we used a probability co-kriging model and the number of FMD outbreaks reported between 1996 and 2000 by Pakistan to the Office International des Epizooties. We used a k-Bessel model and small-ruminant and human densities as surrogate covariates for the population at risk and for livestock markets and movements, respectively. Compared to no or only one covariate, the co-kriging model with both densities provided the best fit to independently obtained data on the spatial distribution of virus isolations (P=0.57). The estimated probability of an FMD outbreak per 25km(2) cell ranged from 0.017 to 0.812, with the maximum relative probability of 47.8 (0.812/0.017). Areas with the highest relative probability of having an FMD outbreak were located in the Punjab region; this is a major animal-production area located along a traditional international animal-trade route.

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Year:  2006        PMID: 16814886     DOI: 10.1016/j.prevetmed.2006.05.013

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


  6 in total

1.  Spatial trend of Foot and Mouth Disease virus (FMDV) serotypes in cattle and buffaloes, Pakistan.

Authors:  Muhammad Abubakar; Muhammad Javed Arshed; Qurban Ali; Manzoor Hussain
Journal:  Virol Sin       Date:  2012-10-11       Impact factor: 4.327

Review 2.  Data-Driven Models of Foot-and-Mouth Disease Dynamics: A Review.

Authors:  L W Pomeroy; S Bansal; M Tildesley; K I Moreno-Torres; M Moritz; N Xiao; T E Carpenter; R B Garabed
Journal:  Transbound Emerg Dis       Date:  2015-11-18       Impact factor: 5.005

3.  Seroprevalence and risk factors for foot-and-mouth disease in cattle in Baghlan Province, Afghanistan.

Authors:  Arash Osmani; Ian Duncan Robertson; Ihab Habib
Journal:  Vet Med Sci       Date:  2021-03-23

4.  A Probability Co-Kriging Model to Account for Reporting Bias and Recognize Areas at High Risk for Zebra Mussels and Eurasian Watermilfoil Invasions in Minnesota.

Authors:  Kaushi S T Kanankege; Moh A Alkhamis; Nicholas B D Phelps; Andres M Perez
Journal:  Front Vet Sci       Date:  2018-01-04

Review 5.  Review of epidemiological risk models for foot-and-mouth disease: Implications for prevention strategies with a focus on Africa.

Authors:  Bachir Souley Kouato; Kris De Clercq; Emmanuel Abatih; Fabiana Dal Pozzo; Donald P King; Eric Thys; Hamani Marichatou; Claude Saegerman
Journal:  PLoS One       Date:  2018-12-13       Impact factor: 3.240

6.  Vector Surveillance, Host Species Richness, and Demographic Factors as West Nile Disease Risk Indicators.

Authors:  John M Humphreys; Katherine I Young; Lee W Cohnstaedt; Kathryn A Hanley; Debra P C Peters
Journal:  Viruses       Date:  2021-05-18       Impact factor: 5.048

  6 in total

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