Literature DB >> 25962955

Capture-recapture approaches and the surveillance of livestock diseases: A review.

Timothée Vergne1, Victor J Del Rio Vilas2, Angus Cameron3, Barbara Dufour4, Vladimir Grosbois5.   

Abstract

In disease surveillance, capture-recapture approaches have been used to estimate the frequency of endemic diseases monitored by imperfect surveillance systems. A standard output of these techniques is an estimate of the sensitivity of the surveillance. In addition, capture-recapture applications contribute to a better understanding of the disease detection processes and of the relationships between different surveillance data sources, and help identify variables associated with the under-detection of diseases. Although capture-recapture approaches have long been used in public health, their application to livestock disease surveillance is only recent. In this paper, we review the different capture-recapture approaches applied in livestock disease surveillance, and discuss their benefits and limitations in the light of the characteristics of the surveillance and control practices used in animal health.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Capture–recapture; Disease surveillance; Epidemiology; Evaluation; Under-detection

Mesh:

Year:  2015        PMID: 25962955     DOI: 10.1016/j.prevetmed.2015.04.003

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


  7 in total

1.  Estimating the number of farms experienced foot and mouth disease outbreaks using capture-recapture methods.

Authors:  Chalutwan Sansamur; Anuwat Wiratsudakul; Arisara Charoenpanyanet; Veerasak Punyapornwithaya
Journal:  Trop Anim Health Prod       Date:  2020-11-19       Impact factor: 1.559

2.  Inference of the infection status of individuals using longitudinal testing data from cryptic populations: Towards a probabilistic approach to diagnosis.

Authors:  Svetlana N Buzdugan; Timothée Vergne; Vladimir Grosbois; Richard J Delahay; Julian A Drewe
Journal:  Sci Rep       Date:  2017-04-19       Impact factor: 4.379

3.  Epidemiology and National Surveillance System for Foot and Mouth Disease in Cattle in Thailand during 2008-2019.

Authors:  Orapun Arjkumpa; Tedsak Yano; Rotchana Prakotcheo; Chalutwan Sansamur; Veerasak Punyapornwithaya
Journal:  Vet Sci       Date:  2020-07-24

4.  Modelling the Spatial Distribution of ASF-Positive Wild Boar Carcasses in South Korea Using 2019-2020 National Surveillance Data.

Authors:  Jun-Sik Lim; Timothée Vergne; Son-Il Pak; Eutteum Kim
Journal:  Animals (Basel)       Date:  2021-04-22       Impact factor: 2.752

5.  Sensitivity of contact-tracing for COVID-19 in Thailand: a capture-recapture application.

Authors:  R Lerdsuwansri; P Sangnawakij; D Böhning; C Sansilapin; W Chaifoo; Jonathan A Polonsky; Victor J Del Rio Vilas
Journal:  BMC Infect Dis       Date:  2022-01-29       Impact factor: 3.090

6.  Sensitivity of an international notification system for wildlife diseases: A case study using the OIE-WAHIS data on tularemia.

Authors:  Angela Fanelli; Lina Awada; Paula Caceres-Soto; François Diaz; Tiggy Grillo; Itlala Gizo; Keith Hamilton; Christine Leon Rolez; Peter Melens; Roberta Morales; Lina Mur; Sophie Muset; Lorenz Nake; Lesa Thompson; Chadia Wannous; Paolo Tizzani
Journal:  Zoonoses Public Health       Date:  2022-01-29       Impact factor: 2.954

7.  Capture-Recapture Estimators in Epidemiology with Applications to Pertussis and Pneumococcal Invasive Disease Surveillance.

Authors:  Toon Braeye; Jan Verheagen; Annick Mignon; Wim Flipse; Denis Pierard; Kris Huygen; Carole Schirvel; Niel Hens
Journal:  PLoS One       Date:  2016-08-16       Impact factor: 3.240

  7 in total

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