Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions

Autores
Krasnov, Boris R.; Korallo Vinarskalla, N. P.; Vinarski, M. V.; Lareschi, Marcela
Año de publicación
2010
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
We analysed data on the abundance and distribution of 26 species of mesostigmate mites with different feeding habits collected from bodies of small mammalian hosts in 2 geographical regions (West Siberia and Argentina). We tested whether prevalence of a mite can be reliably predicted from a simple epidemiological model that takes into account mean abundance and its variance. We theorized that the difference between prevalence predicted from the model and observed prevalence would be smallest in obligatory haematophagous mites, intermediate in facultatively haematophagous mites and greatest in non-haematophagous mites. We also theorized that prevalence of mites from the region with sharp seasonality (Siberia) would be predicted accurately only if host number would be taken into account. We found that the success of a simple epidemiological model to predict prevalence in mites was similar to that reported earlier for other ectoparasitic arthropods. Surprisingly, the model predicted prevalence of obligatory exclusively haematophagous mites less successfully than that of mites with other feeding habits. No difference in the model performance between mites occurring in the 2 geographical regions were found independent of whether the model took the number of hosts into account.
Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; Israel
Fil: Korallo Vinarskalla, N. P.. Omsk Research Institute of Natural Foci Infections. Laboratory of Arthropod-Borne Viral Infections; Rusia
Fil: Vinarski, M. V.. Omsk State Pedagogical University. Faculty of Chemistry and Biology. Department of Zoology and Physiology; Rusia
Fil: Lareschi, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina
Materia
ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/106042
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regionsKrasnov, Boris R.Korallo Vinarskalla, N. P.Vinarski, M. V.Lareschi, MarcelaABUNDANCEEPIDEMIOLOGICAL MODELHAEMATOPHAGYMESOSTIGMATE MITEShttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1We analysed data on the abundance and distribution of 26 species of mesostigmate mites with different feeding habits collected from bodies of small mammalian hosts in 2 geographical regions (West Siberia and Argentina). We tested whether prevalence of a mite can be reliably predicted from a simple epidemiological model that takes into account mean abundance and its variance. We theorized that the difference between prevalence predicted from the model and observed prevalence would be smallest in obligatory haematophagous mites, intermediate in facultatively haematophagous mites and greatest in non-haematophagous mites. We also theorized that prevalence of mites from the region with sharp seasonality (Siberia) would be predicted accurately only if host number would be taken into account. We found that the success of a simple epidemiological model to predict prevalence in mites was similar to that reported earlier for other ectoparasitic arthropods. Surprisingly, the model predicted prevalence of obligatory exclusively haematophagous mites less successfully than that of mites with other feeding habits. No difference in the model performance between mites occurring in the 2 geographical regions were found independent of whether the model took the number of hosts into account.Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; IsraelFil: Korallo Vinarskalla, N. P.. Omsk Research Institute of Natural Foci Infections. Laboratory of Arthropod-Borne Viral Infections; RusiaFil: Vinarski, M. V.. Omsk State Pedagogical University. Faculty of Chemistry and Biology. Department of Zoology and Physiology; RusiaFil: Lareschi, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; ArgentinaCambridge University Press2010-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/106042Krasnov, Boris R.; Korallo Vinarskalla, N. P.; Vinarski, M. V.; Lareschi, Marcela; Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions; Cambridge University Press; Parasitology; 137; 8; 7-2010; 1227-12370031-1820CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.cambridge.org/core/journals/parasitology/article/prediction-of-prevalence-from-mean-abundance-via-a-simple-epidemiological-model-in-mesostigmate-mites-from-two-geographical-regions/3426F00AC37996B6687299102E8F9AE7info:eu-repo/semantics/altIdentifier/doi/10.1017/S0031182010000090info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:02:03Zoai:ri.conicet.gov.ar:11336/106042instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:02:03.764CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
title Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
spellingShingle Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
Krasnov, Boris R.
ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
title_short Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
title_full Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
title_fullStr Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
title_full_unstemmed Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
title_sort Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
dc.creator.none.fl_str_mv Krasnov, Boris R.
Korallo Vinarskalla, N. P.
Vinarski, M. V.
Lareschi, Marcela
author Krasnov, Boris R.
author_facet Krasnov, Boris R.
Korallo Vinarskalla, N. P.
Vinarski, M. V.
Lareschi, Marcela
author_role author
author2 Korallo Vinarskalla, N. P.
Vinarski, M. V.
Lareschi, Marcela
author2_role author
author
author
dc.subject.none.fl_str_mv ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
topic ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv We analysed data on the abundance and distribution of 26 species of mesostigmate mites with different feeding habits collected from bodies of small mammalian hosts in 2 geographical regions (West Siberia and Argentina). We tested whether prevalence of a mite can be reliably predicted from a simple epidemiological model that takes into account mean abundance and its variance. We theorized that the difference between prevalence predicted from the model and observed prevalence would be smallest in obligatory haematophagous mites, intermediate in facultatively haematophagous mites and greatest in non-haematophagous mites. We also theorized that prevalence of mites from the region with sharp seasonality (Siberia) would be predicted accurately only if host number would be taken into account. We found that the success of a simple epidemiological model to predict prevalence in mites was similar to that reported earlier for other ectoparasitic arthropods. Surprisingly, the model predicted prevalence of obligatory exclusively haematophagous mites less successfully than that of mites with other feeding habits. No difference in the model performance between mites occurring in the 2 geographical regions were found independent of whether the model took the number of hosts into account.
Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; Israel
Fil: Korallo Vinarskalla, N. P.. Omsk Research Institute of Natural Foci Infections. Laboratory of Arthropod-Borne Viral Infections; Rusia
Fil: Vinarski, M. V.. Omsk State Pedagogical University. Faculty of Chemistry and Biology. Department of Zoology and Physiology; Rusia
Fil: Lareschi, Marcela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Estudios Parasitológicos y de Vectores. Universidad Nacional de La Plata. Facultad de Ciencias Naturales y Museo. Centro de Estudios Parasitológicos y de Vectores; Argentina
description We analysed data on the abundance and distribution of 26 species of mesostigmate mites with different feeding habits collected from bodies of small mammalian hosts in 2 geographical regions (West Siberia and Argentina). We tested whether prevalence of a mite can be reliably predicted from a simple epidemiological model that takes into account mean abundance and its variance. We theorized that the difference between prevalence predicted from the model and observed prevalence would be smallest in obligatory haematophagous mites, intermediate in facultatively haematophagous mites and greatest in non-haematophagous mites. We also theorized that prevalence of mites from the region with sharp seasonality (Siberia) would be predicted accurately only if host number would be taken into account. We found that the success of a simple epidemiological model to predict prevalence in mites was similar to that reported earlier for other ectoparasitic arthropods. Surprisingly, the model predicted prevalence of obligatory exclusively haematophagous mites less successfully than that of mites with other feeding habits. No difference in the model performance between mites occurring in the 2 geographical regions were found independent of whether the model took the number of hosts into account.
publishDate 2010
dc.date.none.fl_str_mv 2010-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/106042
Krasnov, Boris R.; Korallo Vinarskalla, N. P.; Vinarski, M. V.; Lareschi, Marcela; Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions; Cambridge University Press; Parasitology; 137; 8; 7-2010; 1227-1237
0031-1820
CONICET Digital
CONICET
url http://hdl.handle.net/11336/106042
identifier_str_mv Krasnov, Boris R.; Korallo Vinarskalla, N. P.; Vinarski, M. V.; Lareschi, Marcela; Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions; Cambridge University Press; Parasitology; 137; 8; 7-2010; 1227-1237
0031-1820
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://www.cambridge.org/core/journals/parasitology/article/prediction-of-prevalence-from-mean-abundance-via-a-simple-epidemiological-model-in-mesostigmate-mites-from-two-geographical-regions/3426F00AC37996B6687299102E8F9AE7
info:eu-repo/semantics/altIdentifier/doi/10.1017/S0031182010000090
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Cambridge University Press
publisher.none.fl_str_mv Cambridge University Press
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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