MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO

Detalhes bibliográficos
Autor(a) principal: Rojas,José Alfonso Barajas
Data de Publicação: 1993
Outros Autores: Riemann,Hans, Franti,Charles
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Ciência Rural
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84781993000300014
Resumo: Endemic diseases measured by prevalence of IgG antibodies by ELISA all showed remarkably stable overall prevalences over a study period of 3 years. This however does not mean that incidence is low or absent. Observed transition from the state of being positive for a disease to the state of being negative and vice versa suggested fairly high incidence rates (and rates of waning antibodies) for all 19 disease agents tested for. In spite of this dynamic situation Markov Chain simulations indicate that a steady prevalence is reached in a fairly short time. Markov Chain simulations may also be useful in elucidating seasonal changes in prevalence.
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spelling MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICOprevalenceMarkov ChainMéxicoELISAEndemic diseases measured by prevalence of IgG antibodies by ELISA all showed remarkably stable overall prevalences over a study period of 3 years. This however does not mean that incidence is low or absent. Observed transition from the state of being positive for a disease to the state of being negative and vice versa suggested fairly high incidence rates (and rates of waning antibodies) for all 19 disease agents tested for. In spite of this dynamic situation Markov Chain simulations indicate that a steady prevalence is reached in a fairly short time. Markov Chain simulations may also be useful in elucidating seasonal changes in prevalence.Universidade Federal de Santa Maria1993-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84781993000300014Ciência Rural v.23 n.3 1993reponame:Ciência Ruralinstname:Universidade Federal de Santa Maria (UFSM)instacron:UFSM10.1590/S0103-84781993000300014info:eu-repo/semantics/openAccessRojas,José Alfonso BarajasRiemann,HansFranti,Charleseng2014-09-03T00:00:00ZRevista
dc.title.none.fl_str_mv MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
title MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
spellingShingle MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
Rojas,José Alfonso Barajas
prevalence
Markov Chain
México
ELISA
title_short MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
title_full MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
title_fullStr MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
title_full_unstemmed MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
title_sort MARKOV CHAIN MODELING OF ENDEMIC CATTLE DISEASES IN THE TROPICS OF MEXICO
author Rojas,José Alfonso Barajas
author_facet Rojas,José Alfonso Barajas
Riemann,Hans
Franti,Charles
author_role author
author2 Riemann,Hans
Franti,Charles
author2_role author
author
dc.contributor.author.fl_str_mv Rojas,José Alfonso Barajas
Riemann,Hans
Franti,Charles
dc.subject.por.fl_str_mv prevalence
Markov Chain
México
ELISA
topic prevalence
Markov Chain
México
ELISA
description Endemic diseases measured by prevalence of IgG antibodies by ELISA all showed remarkably stable overall prevalences over a study period of 3 years. This however does not mean that incidence is low or absent. Observed transition from the state of being positive for a disease to the state of being negative and vice versa suggested fairly high incidence rates (and rates of waning antibodies) for all 19 disease agents tested for. In spite of this dynamic situation Markov Chain simulations indicate that a steady prevalence is reached in a fairly short time. Markov Chain simulations may also be useful in elucidating seasonal changes in prevalence.
publishDate 1993
dc.date.none.fl_str_mv 1993-12-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84781993000300014
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-84781993000300014
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-84781993000300014
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Rural v.23 n.3 1993
reponame:Ciência Rural
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Rural
collection Ciência Rural
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1749140518315491328

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