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Analyzing climate variations at multiple timescales can guide Zika virus response measures

Overview of attention for article published in Giga Science, October 2016
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#43 of 1,168)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
5 news outlets
blogs
2 blogs
policy
2 policy sources
twitter
25 X users
peer_reviews
1 peer review site
facebook
3 Facebook pages
wikipedia
1 Wikipedia page
googleplus
1 Google+ user

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
97 Mendeley
Title
Analyzing climate variations at multiple timescales can guide Zika virus response measures
Published in
Giga Science, October 2016
DOI 10.1186/s13742-016-0146-1
Pubmed ID
Authors

Ángel G. Muñoz, Madeleine C. Thomson, Lisa Goddard, Sylvain Aldighieri

Abstract

The emergence of Zika virus (ZIKV) in Latin America and the Caribbean in 2014-2016 occurred during a period of severe drought and unusually high temperatures, conditions that have been associated with the 2015-2016 El Niño event, and/or climate change; however, no quantitative assessment has been made to date. Analysis of related flaviviruses transmitted by the same vectors suggests that ZIKV dynamics are sensitive to climate seasonality and longer-term variability and trends. A better understanding of the climate conditions conducive to the 2014-2016 epidemic may permit the development of climate-informed short and long-term strategies for ZIKV prevention and control. Using a novel timescale-decomposition methodology, we demonstrate that the extreme climate anomalies observed in most parts of South America during the current epidemic are not caused exclusively by El Niño or climate change, but by a combination of climate signals acting at multiple timescales. In Brazil, the dry conditions present in 2013-2015 are primarily explained by year-to-year variability superimposed on decadal variability, but with little contribution of long-term trends. In contrast, the warm temperatures of 2014-2015 resulted from the compound effect of climate change, decadal and year-to-year climate variability. ZIKV response strategies made in Brazil during the drought concurrent with the 2015-2016 El Niño event, may require revision in light of the likely return of rainfall associated with the borderline La Niña event expected in 2016-2017. Temperatures are likely to remain warm given the importance of long term and decadal scale climate signals.

X Demographics

X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 1%
Unknown 96 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Master 17 18%
Student > Ph. D. Student 16 16%
Student > Bachelor 9 9%
Other 9 9%
Other 13 13%
Unknown 14 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 15%
Medicine and Dentistry 12 12%
Environmental Science 12 12%
Nursing and Health Professions 7 7%
Biochemistry, Genetics and Molecular Biology 6 6%
Other 24 25%
Unknown 21 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 79. 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 16 January 2022.
All research outputs
#539,607
of 25,374,647 outputs
Outputs from Giga Science
#43
of 1,168 outputs
Outputs of similar age
#10,407
of 327,136 outputs
Outputs of similar age from Giga Science
#2
of 14 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,168 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.8. This one has done particularly well, scoring higher than 96% 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 327,136 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 14 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.