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

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 e...

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Published in:Parasitology
Main Authors: Krasnov, Boris R., Korallo Vinarskalla, N. P., Vinarski, M. V., Lareschi, Marcela
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press
Subjects:
Online Access:http://hdl.handle.net/11336/106042
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spelling ftconicet:oai:ri.conicet.gov.ar:11336/106042 2023-10-09T21:56:33+02:00 Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions Krasnov, Boris R. Korallo Vinarskalla, N. P. Vinarski, M. V. Lareschi, Marcela application/pdf http://hdl.handle.net/11336/106042 eng eng Cambridge University Press 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 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 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc-sa/2.5/ar/ ABUNDANCE EPIDEMIOLOGICAL MODEL HAEMATOPHAGY MESOSTIGMATE MITES https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion ftconicet https://doi.org/10.1017/S0031182010000090 2023-09-24T19:19:57Z 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 Article in Journal/Newspaper Mite Siberia CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas) Argentina Parasitology 137 8 1227 1237
institution Open Polar
collection CONICET Digital (Consejo Nacional de Investigaciones Científicas y Técnicas)
op_collection_id ftconicet
language English
topic ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
spellingShingle ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
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
topic_facet ABUNDANCE
EPIDEMIOLOGICAL MODEL
HAEMATOPHAGY
MESOSTIGMATE MITES
https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
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. 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
format Article in Journal/Newspaper
author Krasnov, Boris R.
Korallo Vinarskalla, N. P.
Vinarski, M. V.
Lareschi, Marcela
author_facet Krasnov, Boris R.
Korallo Vinarskalla, N. P.
Vinarski, M. V.
Lareschi, Marcela
author_sort Krasnov, Boris R.
title Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
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
publisher Cambridge University Press
url http://hdl.handle.net/11336/106042
geographic Argentina
geographic_facet Argentina
genre Mite
Siberia
genre_facet Mite
Siberia
op_relation 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
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
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
op_doi https://doi.org/10.1017/S0031182010000090
container_title Parasitology
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