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

Published online by Cambridge University Press:  14 April 2010

B. R. KRASNOV*
Affiliation:
Mitrani Department of Desert Ecology, Institute for Dryland Environmental Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer Campus, 84990 Midreshet Ben-Gurion, Israel
N. P. KORALLO-VINARSKAYA
Affiliation:
Laboratory of Arthropod-Borne Viral Infections, Omsk Research Institute of Natural Foci Infections, Mira Street 7, 644080 Omsk, Russia
M. V. VINARSKI
Affiliation:
Department of Zoology and Physiology, Faculty of Chemistry and Biology, Omsk State Pedagogical University, Tukhachevskogo Embankment 14, 644099 Omsk, Russia
M. LARESCHI
Affiliation:
Center for Parasitological Studies and Vectors, National Research Council of Argentina and School of Natural Sciences and Museum of La Plata National University, Calle 2 N 584, 1900 La Plata, Argentina
*
*Corresponding author: Mitrani Department of Desert Ecology, Institute for Dryland Environmental Research, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, Sede-Boqer Campus, 84990 Midreshet Ben-Gurion, Israel. Tel: +972 8 6596841. Fax: +972 8 6596772. E-mail: [email protected]

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.

Type
Research Article
Copyright
Copyright © Cambridge University Press 2010

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