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Pan-European Chikungunya surveillance: designing risk stratified surveillance zones

Overview of attention for article published in International Journal of Health Geographics, October 2009
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1 policy source

Citations

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41 Dimensions

Readers on

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119 Mendeley
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1 CiteULike
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Title
Pan-European Chikungunya surveillance: designing risk stratified surveillance zones
Published in
International Journal of Health Geographics, October 2009
DOI 10.1186/1476-072x-8-61
Pubmed ID
Authors

Natasha Tilston, Chris Skelly, Phil Weinstein

Abstract

The first documented transmission of Chikungunya within Europe took place in Italy during the summer of 2007. Chikungunya, a viral infection affecting millions of people across Africa and Asia, can be debilitating and no prophylactic treatment exists. Although imported cases are reported frequently across Europe, 2007 was the first confirmed European outbreak and available evidence suggests that Aedes albopictus was the vector responsible and the index case was a visitor from India. This paper proposed pan-European surveillance zones for Chikungunya, based on the climatic conditions necessary for vector activity and viral transmission. Pan-European surveillance provides the best hope for an early-warning of outbreaks, because national boundaries do not play a role in defining the risk of this new vector borne disease threat. A review of climates, where Chikungunya has been active, was used to inform the delineation of three pan-European surveillance zones. These vary in size each month across the June-September period of greatest risk. The zones stretch across southern Europe from Portugal to Turkey. Although the focus of this study was to define the geography of potential surveillance zones based on the climatic limits on the vector and virus, a preliminary examination of inward bound airline passengers was also undertaken. This indicated that France and Italy are likely to be at greater risk due to the number of visitors they receive from Chikungunya active regions, principally viraemic visitors from India. Therefore this study represents a first attempt at creating risk stratified surveillance zones, which we believe could be usefully refined with the use of higher resolution climate data and more complete air travel data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 1 <1%
Italy 1 <1%
Germany 1 <1%
Unknown 112 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 25%
Student > Master 18 15%
Student > Ph. D. Student 12 10%
Professor > Associate Professor 9 8%
Student > Bachelor 8 7%
Other 24 20%
Unknown 18 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 32 27%
Medicine and Dentistry 25 21%
Environmental Science 9 8%
Biochemistry, Genetics and Molecular Biology 8 7%
Immunology and Microbiology 3 3%
Other 21 18%
Unknown 21 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 05 April 2016.
All research outputs
#7,482,726
of 22,875,477 outputs
Outputs from International Journal of Health Geographics
#269
of 629 outputs
Outputs of similar age
#34,115
of 94,758 outputs
Outputs of similar age from International Journal of Health Geographics
#2
of 3 outputs
Altmetric has tracked 22,875,477 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 629 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.4. This one is in the 49th percentile – i.e., 49% 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 94,758 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.