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Assessing Chikungunya risk in a metropolitan area of Argentina through satellite images and mathematical models

Overview of attention for article published in BMC Infectious Diseases, February 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

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14 X users
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1 Facebook page

Citations

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6 Dimensions

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127 Mendeley
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Title
Assessing Chikungunya risk in a metropolitan area of Argentina through satellite images and mathematical models
Published in
BMC Infectious Diseases, February 2016
DOI 10.1186/s12879-016-1348-y
Pubmed ID
Authors

Diego Ruiz-Moreno

Abstract

Chikungunya fever is a viral disease that recently invaded the American continent. In America, it is transmitted mainly by the mosquito Aedes aegypti, but Aedes albopictus is the main vector in other regions of the world. This work estimates the risk of disease emergence and the corresponding population at risk for the case of a naive population in the metropolitan area of Buenos Aires, the capital city of Argentina. A classic metapopulation epidemiological model, that considers human and mosquito populations, was extended in order to include different environmental signals. First, the vital rates of the mosquitoes were affected by local temperature. Second, habitat availability estimated from satellite images was used to determine the carrying capacity for local mosquito populations. Disease invasion was proposed to occur at different moments of the year. For each scenario, Monte Carlo simulations were used to estimate the risk of disease invasion and the population at risk. The risk of a Chikungunya outbreak displays strong temporal (seasonal) patterns as well as spatial variability at the level of neighborhoods in the study area. According to the model, Summer and Fall display high risk for a Chikungunya invasion. The population at risk displays less variation over the year underlying the importance of preventive actions. The ability of mapping habitat quality for vector-borne diseases allows developing risk analysis at scales that are easily manageable for public health officers. For this location, the correlation of disease risk with the season of the year and the habitat availability could provide information to develop efficient control strategies. This also underlines the importance of involving the whole community when developing control measures for Chikungunya fever and other recently invading vector-borne diseases such as Zika fever.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 X users 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 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
United Kingdom 2 2%
Brazil 1 <1%
Argentina 1 <1%
Switzerland 1 <1%
Unknown 119 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 24%
Student > Master 20 16%
Student > Ph. D. Student 16 13%
Student > Bachelor 15 12%
Other 11 9%
Other 22 17%
Unknown 13 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 22%
Medicine and Dentistry 23 18%
Biochemistry, Genetics and Molecular Biology 9 7%
Environmental Science 9 7%
Social Sciences 8 6%
Other 29 23%
Unknown 21 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 09 February 2016.
All research outputs
#4,043,587
of 23,505,064 outputs
Outputs from BMC Infectious Diseases
#1,278
of 7,837 outputs
Outputs of similar age
#70,145
of 400,453 outputs
Outputs of similar age from BMC Infectious Diseases
#16
of 101 outputs
Altmetric has tracked 23,505,064 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has done well, scoring higher than 83% of its peers.
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 400,453 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 101 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.