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...
Published in: | Parasitology |
---|---|
Main Authors: | , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Cambridge University Press
|
Subjects: | |
Online Access: | http://hdl.handle.net/11336/106042 |
id |
ftconicet:oai:ri.conicet.gov.ar:11336/106042 |
---|---|
record_format |
openpolar |
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 |
container_volume |
137 |
container_issue |
8 |
container_start_page |
1227 |
op_container_end_page |
1237 |
_version_ |
1779321378393030656 |