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

SUMMARY 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...

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Published in:Parasitology
Main Authors: KRASNOV, B. R., KORALLO-VINARSKAYA, N. P., VINARSKI, M. V., LARESCHI, M.
Format: Article in Journal/Newspaper
Language:English
Published: Cambridge University Press (CUP) 2010
Subjects:
Online Access:http://dx.doi.org/10.1017/s0031182010000090
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0031182010000090
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spelling crcambridgeupr:10.1017/s0031182010000090 2024-04-28T08:41:34+00:00 Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions KRASNOV, B. R. KORALLO-VINARSKAYA, N. P. VINARSKI, M. V. LARESCHI, M. 2010 http://dx.doi.org/10.1017/s0031182010000090 https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0031182010000090 en eng Cambridge University Press (CUP) https://www.cambridge.org/core/terms Parasitology volume 137, issue 8, page 1227-1237 ISSN 0031-1820 1469-8161 Infectious Diseases Animal Science and Zoology Parasitology journal-article 2010 crcambridgeupr https://doi.org/10.1017/s0031182010000090 2024-04-02T06:54:22Z SUMMARY 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. Article in Journal/Newspaper Mite Siberia Cambridge University Press Parasitology 137 8 1227 1237
institution Open Polar
collection Cambridge University Press
op_collection_id crcambridgeupr
language English
topic Infectious Diseases
Animal Science and Zoology
Parasitology
spellingShingle Infectious Diseases
Animal Science and Zoology
Parasitology
KRASNOV, B. R.
KORALLO-VINARSKAYA, N. P.
VINARSKI, M. V.
LARESCHI, M.
Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions
topic_facet Infectious Diseases
Animal Science and Zoology
Parasitology
description SUMMARY 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.
format Article in Journal/Newspaper
author KRASNOV, B. R.
KORALLO-VINARSKAYA, N. P.
VINARSKI, M. V.
LARESCHI, M.
author_facet KRASNOV, B. R.
KORALLO-VINARSKAYA, N. P.
VINARSKI, M. V.
LARESCHI, M.
author_sort KRASNOV, B. 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 (CUP)
publishDate 2010
url http://dx.doi.org/10.1017/s0031182010000090
https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S0031182010000090
genre Mite
Siberia
genre_facet Mite
Siberia
op_source Parasitology
volume 137, issue 8, page 1227-1237
ISSN 0031-1820 1469-8161
op_rights https://www.cambridge.org/core/terms
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
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