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Statistical analysis of an endemic disease from a capture-recapture experiment.

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Statistical analysis of an endemic disease from a capture-recapture experiment. / Wei, Yinghui; Neal, Peter; Telfer, Sandra et al.
In: Journal of Applied Statistics, Vol. 39, No. 12, 12.2012, p. 2759-2773.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Wei, Y, Neal, P, Telfer, S & Begon, M 2012, 'Statistical analysis of an endemic disease from a capture-recapture experiment.', Journal of Applied Statistics, vol. 39, no. 12, pp. 2759-2773. https://doi.org/10.1080/02664763.2012.725467

APA

Wei, Y., Neal, P., Telfer, S., & Begon, M. (2012). Statistical analysis of an endemic disease from a capture-recapture experiment. Journal of Applied Statistics, 39(12), 2759-2773. https://doi.org/10.1080/02664763.2012.725467

Vancouver

Wei Y, Neal P, Telfer S, Begon M. Statistical analysis of an endemic disease from a capture-recapture experiment. Journal of Applied Statistics. 2012 Dec;39(12):2759-2773. Epub 2012 Sept 17. doi: 10.1080/02664763.2012.725467

Author

Wei, Yinghui ; Neal, Peter ; Telfer, Sandra et al. / Statistical analysis of an endemic disease from a capture-recapture experiment. In: Journal of Applied Statistics. 2012 ; Vol. 39, No. 12. pp. 2759-2773.

Bibtex

@article{41613ad9ea9f47c8bb9759034c42c896,
title = "Statistical analysis of an endemic disease from a capture-recapture experiment.",
abstract = "There are a number of statistical techniques for analysing epidemic outbreaks. However, many diseases are endemic within populations and the analysis of such diseases is complicated by changing population demography. Motivated by the spread of cowpox amongst rodent populations, a combined mathematical model for population and disease dynamics is introduced. A Markov chain Monte Carlo algorithm is then constructed to make statistical inference for the model based on data being obtained from a capture–recapture experiment. The statistical analysis is used to identify the key elements in the spread of the cowpox virus.",
keywords = "open population, infectious diseases , endemicity, MCMC",
author = "Yinghui Wei and Peter Neal and Sandra Telfer and Mike Begon",
year = "2012",
month = dec,
doi = "10.1080/02664763.2012.725467",
language = "English",
volume = "39",
pages = "2759--2773",
journal = "Journal of Applied Statistics",
issn = "0266-4763",
publisher = "Routledge",
number = "12",

}

RIS

TY - JOUR

T1 - Statistical analysis of an endemic disease from a capture-recapture experiment.

AU - Wei, Yinghui

AU - Neal, Peter

AU - Telfer, Sandra

AU - Begon, Mike

PY - 2012/12

Y1 - 2012/12

N2 - There are a number of statistical techniques for analysing epidemic outbreaks. However, many diseases are endemic within populations and the analysis of such diseases is complicated by changing population demography. Motivated by the spread of cowpox amongst rodent populations, a combined mathematical model for population and disease dynamics is introduced. A Markov chain Monte Carlo algorithm is then constructed to make statistical inference for the model based on data being obtained from a capture–recapture experiment. The statistical analysis is used to identify the key elements in the spread of the cowpox virus.

AB - There are a number of statistical techniques for analysing epidemic outbreaks. However, many diseases are endemic within populations and the analysis of such diseases is complicated by changing population demography. Motivated by the spread of cowpox amongst rodent populations, a combined mathematical model for population and disease dynamics is introduced. A Markov chain Monte Carlo algorithm is then constructed to make statistical inference for the model based on data being obtained from a capture–recapture experiment. The statistical analysis is used to identify the key elements in the spread of the cowpox virus.

KW - open population

KW - infectious diseases

KW - endemicity

KW - MCMC

U2 - 10.1080/02664763.2012.725467

DO - 10.1080/02664763.2012.725467

M3 - Journal article

VL - 39

SP - 2759

EP - 2773

JO - Journal of Applied Statistics

JF - Journal of Applied Statistics

SN - 0266-4763

IS - 12

ER -