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How Much Can Diptera-Borne Viruses Persist over Unfavourable Seasons?

Overview of attention for article published in PLOS ONE, September 2013
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Title
How Much Can Diptera-Borne Viruses Persist over Unfavourable Seasons?
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0074213
Pubmed ID
Authors

Maud V. P. Charron, Thomas Balenghien, Henri Seegers, Michel Langlais, Pauline Ezanno

Abstract

Diptera are vectors of major human and animal pathogens worldwide, such as dengue, West-Nile or bluetongue viruses. In seasonal environments, vector-borne disease occurrence varies with the seasonal variations of vector abundance. We aimed at understanding how diptera-borne viruses can persist for years under seasonal climates while vectors overwinter, which should stop pathogen transmission during winter. Modeling is a relevant integrative approach for investigating the large panel of persistence mechanisms evidenced through experimental and observational studies on specific biological systems. Inter-seasonal persistence of virus may occur in hosts due to viremia duration, chronic infection, or vertical transmission, in vector resistance stages, and due to a low continuous transmission in winter. Using a generic stochastic modeling framework, we determine the parameter ranges under which virus persistence could occur via these different mechanisms. The parameter ranges vary according to the host demographic regime: for a high host population turnover, persistence increases with the mechanism parameter, whereas for a low turnover, persistence is maximal for an optimal range of parameter. Persistence in hosts due to long viremia duration in a few hosts or due to vertical transmission is an effective strategy for the virus to overwinter. Unexpectedly, a low continuous transmission during winter does not give rise to certain persistence, persistence barely occurring for a low turnover of the susceptible population. We propose a generic framework adaptable to most diptera-borne diseases. This framework allows ones to assess the plausibility of each persistence mechanism in real epidemiological situations and to compare the range of parameter values theoretically allowing persistence with the range of values determined experimentally.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
Unknown 39 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Bachelor 7 18%
Other 4 10%
Student > Doctoral Student 4 10%
Student > Master 4 10%
Other 6 15%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 38%
Medicine and Dentistry 11 28%
Biochemistry, Genetics and Molecular Biology 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Veterinary Science and Veterinary Medicine 2 5%
Other 3 8%
Unknown 4 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 September 2013.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from PLOS ONE
#154,206
of 193,977 outputs
Outputs of similar age
#146,515
of 196,876 outputs
Outputs of similar age from PLOS ONE
#3,791
of 5,049 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 5,049 others from the same source and published within six weeks on either side of this one. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.