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Statistical analysis of the dynamics of antibody loss to a disease-causing agent: plague in natural populations of great gerbils as an example
Journal article   Open access   Peer reviewed

Statistical analysis of the dynamics of antibody loss to a disease-causing agent: plague in natural populations of great gerbils as an example

Siyun Park, Kung-Sik Chan, Hildegunn Viljugrein, Larissa Nekrassova, Bakhtiyar Suleimenov, Vladimir S Ageyev, Nikolay L Klassovskiy, Sergey B Pole and Nils Chr Stenseth
Journal of the Royal Society interface, Vol.4(12), pp.57-64
02/22/2007
DOI: 10.1098/rsif.2006.0160
PMCID: PMC2219429
PMID: 17254979
url
https://doi.org/10.1098/rsif.2006.0160View
Published (Version of record) Open Access

Abstract

We propose a new stochastic framework for analysing the dynamics of the immunity response of wildlife hosts against a disease-causing agent. Our study is motivated by the need to analyse the monitoring time-series data covering the period from 1975 to 1995 on bacteriological and serological tests-samples from great gerbils being the main host of Yersinia pestis in Kazakhstan. Based on a four-state continuous-time Markov chain, we derive a generalized nonlinear mixed-effect model for analysing the serological test data. The immune response of a host involves the production of antibodies in response to an antigen. Our analysis shows that great gerbils recovered from a plague infection are more likely to keep their antibodies to plague and survive throughout the summer-to-winter season than throughout the winter-to-summer season. Provided the seasonal mortality rates are similar (which seems to be the case based on a mortality analysis with abundance data), our finding indicates that the immune function of the sampled great gerbils is seasonal.
Serology continuous-time Markov chain generalized nonlinear mixed-effect model specific immunity Yersinia pestis

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