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Suggestions for chikungunya control based on a sensitivity analysis of a mathematical model.

Overview of attention for article published in Revista Peruana de Medicina Experimental y Salud Pública, March 2016
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Title
Suggestions for chikungunya control based on a sensitivity analysis of a mathematical model.
Published in
Revista Peruana de Medicina Experimental y Salud Pública, March 2016
DOI 10.17843/rpmesp.2016.331.2017
Pubmed ID
Authors

David Requena, José L Segovia-Juárez

Abstract

Chikungunya fever seriously affects peoples' health and causes chronic joint pain and even disability. Chikungunya is transmitted by the bite of Aedes aegypti and Aedes albopictus. Outbreaks have been reported in throughout the world, including Latin America. Mathematical modeling studies of these outbreaks have calculated the values of various​ epidemiological parameters. Based on them, a mathematical model was prepared to simulate a chikungunya outbreak in a local population, which was transmitted from an neighboring infected population. A sensitivity and uncertainty analysis revealed that the mosquito-to-human and human-to-mosquito transmission rates are the variables with the highest correlation with the number infected people, which were greatest at 60 days after the first case in the neighboring population. Therefore, it is recommended to take this into consideration when planning policies to control such variables as isolation of infected people, distribution of mosquito netting and repellents, fumigation, among others.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
United States 1 2%
Unknown 41 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 14%
Student > Postgraduate 6 14%
Student > Ph. D. Student 5 12%
Other 4 9%
Student > Master 4 9%
Other 7 16%
Unknown 11 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 26%
Mathematics 4 9%
Medicine and Dentistry 4 9%
Biochemistry, Genetics and Molecular Biology 2 5%
Arts and Humanities 2 5%
Other 9 21%
Unknown 11 26%
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 27 March 2018.
All research outputs
#22,760,732
of 25,377,790 outputs
Outputs from Revista Peruana de Medicina Experimental y Salud Pública
#370
of 458 outputs
Outputs of similar age
#271,908
of 314,790 outputs
Outputs of similar age from Revista Peruana de Medicina Experimental y Salud Pública
#5
of 6 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 458 research outputs from this source. They receive a mean Attention Score of 2.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 314,790 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.