Mostrar el registro sencillo del ítem

dc.contributor.author
Krasnov, Boris R.  
dc.contributor.author
Korallo Vinarskalla, N. P.  
dc.contributor.author
Vinarski, M. V.  
dc.contributor.author
Lareschi, Marcela  
dc.date.available
2020-05-27T18:46:52Z  
dc.date.issued
2010-07  
dc.identifier.citation
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  
dc.identifier.issn
0031-1820  
dc.identifier.uri
http://hdl.handle.net/11336/106042  
dc.description.abstract
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.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
Cambridge University Press  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
ABUNDANCE  
dc.subject
EPIDEMIOLOGICAL MODEL  
dc.subject
HAEMATOPHAGY  
dc.subject
MESOSTIGMATE MITES  
dc.subject.classification
Ecología  
dc.subject.classification
Ciencias Biológicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Prediction of prevalence from mean abundance via a simple epidemiological model in mesostigmate mites from two geographical regions  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2020-05-11T15:19:41Z  
dc.journal.volume
137  
dc.journal.number
8  
dc.journal.pagination
1227-1237  
dc.journal.pais
Reino Unido  
dc.journal.ciudad
Cambridge  
dc.description.fil
Fil: Krasnov, Boris R.. Ben Gurion University of the Negev; Israel  
dc.description.fil
Fil: Korallo Vinarskalla, N. P.. Omsk Research Institute of Natural Foci Infections. Laboratory of Arthropod-Borne Viral Infections; Rusia  
dc.description.fil
Fil: Vinarski, M. V.. Omsk State Pedagogical University. Faculty of Chemistry and Biology. Department of Zoology and Physiology; Rusia  
dc.description.fil
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  
dc.journal.title
Parasitology  
dc.relation.alternativeid
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  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1017/S0031182010000090