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Why are people with dengue dying? A scoping review of determinants for dengue mortality

Overview of attention for article published in BMC Infectious Diseases, July 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)

Mentioned by

news
1 news outlet
twitter
16 tweeters

Citations

dimensions_citation
36 Dimensions

Readers on

mendeley
239 Mendeley
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Title
Why are people with dengue dying? A scoping review of determinants for dengue mortality
Published in
BMC Infectious Diseases, July 2015
DOI 10.1186/s12879-015-1058-x
Pubmed ID
Authors

Mabel Carabali, Libia Milena Hernandez, Maria Jose Arauz, Luis Angel Villar, Valéry Ridde

Abstract

Dengue is a viral disease whose clinical spectrum ranges from unapparent to severe forms and fatal outcomes. Although dengue death is 99 % avoidable, every year around 20,000 deaths are estimated to occur in more than 100 countries. We consider that, along with biological factors, social determinants of health (SDHs) are related to dengue deaths as well. A scoping review was conducted to explore what has been written about the role of SDHs in dengue mortality. The inclusion criteria were that documents (grey or peer-reviewed) had to include information about dengue fatal cases in humans and be published between 1997 and 2013 and written in English, Spanish, Portuguese or French. The search was conducted using a set of key words related to dengue mortality in several electronic databases: PubMed, LILACS, COCHRANE, Scielo, Science Direct, WHOLIS, OpenGrey, OpenSingle and Google Scholar. Information on SDHs was categorized under individual, social and environmental, and health systems dimensions. A summative content analysis using QDA Miner was conducted to assess the frequency of information on SDHs and its contextual meaning in the reviewed literature. The role of each SDH in dengue mortality was assessed using content analysis results. From a total of 971 documents retrieved, 78 met the criteria. Those documents were published in the Americas region (50.0 %), Asia (38.4 %), Europe (9.0 %) and Africa (2.6 %). The described SDHs related to dengue deaths included, in the individual dimension: age, ethnicity, education, type of infection and immunological status; and in the social dimension: poverty and care-seeking behavior. The health systems dimension included access, opportunity, and quality of care, as well as health staff knowledge. Ethnicity was considered a determinant that depends on cultural and socioeconomic conditions. Along with biological factors, there are several SDHs related to dengue mortality. However, only a few of these have been systematically analyzed, suggesting the need for more studies on this subject to inform the design and implementation of sustainable interventions to decrease dengue mortality. These findings nevertheless provide a better understanding of the non-biological factors involved in dengue mortality.

Twitter Demographics

The data shown below were collected from the profiles of 16 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 239 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
Bhutan 1 <1%
Brazil 1 <1%
Unknown 235 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 26%
Researcher 34 14%
Student > Bachelor 26 11%
Student > Ph. D. Student 25 10%
Student > Postgraduate 22 9%
Other 44 18%
Unknown 26 11%
Readers by discipline Count As %
Medicine and Dentistry 83 35%
Agricultural and Biological Sciences 28 12%
Nursing and Health Professions 17 7%
Biochemistry, Genetics and Molecular Biology 14 6%
Immunology and Microbiology 13 5%
Other 51 21%
Unknown 33 14%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 12 January 2017.
All research outputs
#786,000
of 13,298,110 outputs
Outputs from BMC Infectious Diseases
#146
of 4,950 outputs
Outputs of similar age
#18,051
of 233,542 outputs
Outputs of similar age from BMC Infectious Diseases
#1
of 1 outputs
Altmetric has tracked 13,298,110 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,950 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 97% of its peers.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them