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Trends and factors associated with dengue mortality and fatality in Brazil

Overview of attention for article published in Revista da Sociedade Brasileira de Medicina Tropical, August 2015
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About this Attention Score

  • Among the highest-scoring outputs from this source (#13 of 283)
  • Good Attention Score compared to outputs of the same age (74th percentile)

Mentioned by

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1 policy source
twitter
2 tweeters

Citations

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26 Dimensions

Readers on

mendeley
123 Mendeley
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Title
Trends and factors associated with dengue mortality and fatality in Brazil
Published in
Revista da Sociedade Brasileira de Medicina Tropical, August 2015
DOI 10.1590/0037-8682-0145-2015
Pubmed ID
Authors

Enny Santos Paixão, Maria da Conceição Nascimento Costa, Laura Cunha Rodrigues, Davide Rasella, Luciana Lobato Cardim, Alcione Cunha Brasileiro, Maria Gloria Lima Cruz Teixeira

Abstract

Studies that generate information that may reduce the dengue death risk are essential. This study analyzed time trends and risk factors for dengue mortality and fatality in Brazil from 2001 to 2011. Time trends for dengue mortality and fatality rates were analyzed using simple linear regression. Associations between the dengue mortality and the case fatality rates and socioeconomic, demographic, and health care indicators at the municipality level were analyzed using negative binomial regression. The dengue hemorrhagic fever case fatality rate increased in Brazil from 2001 to 2011 (β=0.67; p=0.036), in patients aged 0-14 years (β=0.48; p=0.030) and in those aged ≥15 years (β=1.1; p<0.01). Factors associated with the dengue case fatality rate were the average income per capita (MRR=0.99; p=0.038) and the number of basic health units per population (MRR=0.89; p<0.001). Mortality rates increased from 2001 to 2011 (β=0.350; p=0.002).Factors associated with mortality were inequality (RR=1.02; p=0.001) high income per capita (MRR=0.99; p=0.005), and higher proportions of populations living in urban areas (MRR=1.01; p<0.001). The increases in the dengue mortality and case fatality rates and the associated socioeconomic and health care factors, suggest the need for structural and intersectoral investments to improve living conditions and to sustainably reduce these outcomes.

Twitter Demographics

The data shown below were collected from the profiles of 2 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 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 2%
United Kingdom 1 <1%
Unknown 120 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 29 24%
Researcher 18 15%
Student > Bachelor 17 14%
Student > Doctoral Student 11 9%
Student > Postgraduate 8 7%
Other 20 16%
Unknown 20 16%
Readers by discipline Count As %
Medicine and Dentistry 39 32%
Nursing and Health Professions 11 9%
Agricultural and Biological Sciences 9 7%
Biochemistry, Genetics and Molecular Biology 6 5%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Other 24 20%
Unknown 28 23%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 01 February 2016.
All research outputs
#3,864,829
of 14,567,079 outputs
Outputs from Revista da Sociedade Brasileira de Medicina Tropical
#13
of 283 outputs
Outputs of similar age
#92,920
of 363,328 outputs
Outputs of similar age from Revista da Sociedade Brasileira de Medicina Tropical
#2
of 2 outputs
Altmetric has tracked 14,567,079 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 283 research outputs from this source. They receive a mean Attention Score of 1.3. This one has done particularly well, scoring higher than 95% 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 363,328 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.