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Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015–16: a modelling study

Overview of attention for article published in Lancet Infectious Diseases, March 2017
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130

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
12 news outlets
blogs
2 blogs
policy
1 policy source
twitter
66 X users

Citations

dimensions_citation
193 Dimensions

Readers on

mendeley
367 Mendeley
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Title
Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015–16: a modelling study
Published in
Lancet Infectious Diseases, March 2017
DOI 10.1016/s1473-3099(16)30513-8
Pubmed ID
Authors

Moritz U G Kraemer, Nuno R Faria, Robert C Reiner, Nick Golding, Birgit Nikolay, Stephanie Stasse, Michael A Johansson, Henrik Salje, Ousmane Faye, G R William Wint, Matthias Niedrig, Freya M Shearer, Sarah C Hill, Robin N Thompson, Donal Bisanzio, Nuno Taveira, Heinrich H Nax, Bary S R Pradelski, Elaine O Nsoesie, Nicholas R Murphy, Isaac I Bogoch, Kamran Khan, John S Brownstein, Andrew J Tatem, Tulio de Oliveira, David L Smith, Amadou A Sall, Oliver G Pybus, Simon I Hay, Simon Cauchemez

Abstract

As the epidemic of Zika virus expands in the Americas, countries across Africa and the Asia-Pacific region are becoming increasingly susceptible to the importation and possible local spread of the virus. To support public health readiness, we aim to identify regions and times where the potential health, economic, and social effects from Zika virus are greatest, focusing on resource-limited countries in Africa and the Asia-Pacific region. Our model combined transportation network analysis, ecological modelling of mosquito occurrences, and vector competence for flavivirus transmission, using data from the International Air Transport Association, entomological observations from Zika's primary vector species, and climate conditions using WorldClim. We overlaid monthly flows of airline travellers arriving to Africa and the Asia-Pacific region from areas of the Americas suitable for year-round transmission of Zika virus with monthly maps of climatic suitability for mosquito-borne transmission of Zika virus within Africa and the Asia-Pacific region. An estimated 2·6 billion people live in areas of Africa and the Asia-Pacific region where the presence of competent mosquito vectors and suitable climatic conditions could support local transmission of Zika virus. Countries with large volumes of travellers arriving from Zika virus-affected areas of the Americas and large populations at risk of mosquito-borne Zika virus infection include India (67 422 travellers arriving per year; 1·2 billion residents in potential Zika transmission areas), China (238 415 travellers; 242 million residents), Indonesia (13 865 travellers; 197 million residents), Philippines (35 635 travellers; 70 million residents), and Thailand (29 241 travellers; 59 million residents). Many countries across Africa and the Asia-Pacific region are vulnerable to Zika virus. Strategic use of available health and human resources is essential to prevent or mitigate the health, economic, and social consequences of Zika virus, especially in resource-limited countries. Canadian Institutes of Health Research and the US Centers for Disease Control and Prevention.

X Demographics

X Demographics

The data shown below were collected from the profiles of 66 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 367 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 <1%
United States 2 <1%
United Kingdom 1 <1%
Portugal 1 <1%
China 1 <1%
Belgium 1 <1%
Unknown 359 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 69 19%
Researcher 57 16%
Student > Ph. D. Student 46 13%
Student > Bachelor 38 10%
Student > Doctoral Student 24 7%
Other 71 19%
Unknown 62 17%
Readers by discipline Count As %
Medicine and Dentistry 66 18%
Agricultural and Biological Sciences 63 17%
Biochemistry, Genetics and Molecular Biology 28 8%
Immunology and Microbiology 26 7%
Nursing and Health Professions 18 5%
Other 80 22%
Unknown 86 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 130. 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 25 January 2024.
All research outputs
#319,499
of 25,369,304 outputs
Outputs from Lancet Infectious Diseases
#616
of 6,029 outputs
Outputs of similar age
#6,825
of 324,345 outputs
Outputs of similar age from Lancet Infectious Diseases
#10
of 114 outputs
Altmetric has tracked 25,369,304 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,029 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.5. This one has done well, scoring higher than 89% 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 324,345 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 97% of its contemporaries.
We're also able to compare this research output to 114 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.