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Global Epidemiology of Dengue Outbreaks in 1990–2015: A Systematic Review and Meta-Analysis

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, July 2017
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671 Mendeley
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Title
Global Epidemiology of Dengue Outbreaks in 1990–2015: A Systematic Review and Meta-Analysis
Published in
Frontiers in Cellular and Infection Microbiology, July 2017
DOI 10.3389/fcimb.2017.00317
Pubmed ID
Authors

Congcong Guo, Zixing Zhou, Zihao Wen, Yumei Liu, Chengli Zeng, Di Xiao, Meiling Ou, Yajing Han, Shiqi Huang, Dandan Liu, Xiaohong Ye, Xiaoqian Zou, Jing Wu, Huanyu Wang, Eddy Y. Zeng, Chunxia Jing, Guang Yang

Abstract

Dengue is an arthropod-borne infectious disease caused by dengue virus (DENV) infection and transmitted by Aedes mosquitoes. Approximately 50-100 million people are infected with DENV each year, resulting in a high economic burden on both governments and individuals. Here, we conducted a systematic review and meta-analysis to summarize information regarding the epidemiology, clinical characteristics, and serotype distribution and risk factors for global dengue outbreaks occurring from 1990 to 2015. We searched the PubMed, Embase and Web of Science databases through December 2016 using the term "dengue outbreak." In total, 3,853 studies were identified, of which 243 studies describing 262 dengue outbreaks met our inclusion criteria. The majority of outbreak-associated dengue cases were reported in the Western Pacific Region, particularly after the year 2010; these cases were primarily identified in China, Singapore and Malaysia. The pooled mean age of dengue-infected individuals was 30.1 years; of the included patients, 54.5% were male, 23.2% had DHF, 62.0% had secondary infections, and 1.3% died. The mean age of dengue patients reported after 2010 was older than that of patients reported before 2010 (34.0 vs. 27.2 years); however, the proportions of patients who had DHF, had secondary infections and died significantly decreased after 2010. Fever, malaise, headache, and asthenia were the most frequently reported clinical symptoms and signs among dengue patients. In addition, among the identified clinical symptoms and signs, positive tourniquet test (OR = 4.86), ascites (OR = 13.91) and shock (OR = 308.09) were identified as the best predictors of dengue infection, DHF and mortality, respectively (both P < 0.05). The main risk factors for dengue infection, DHF and mortality were living with uncovered water container (OR = 1.65), suffering from hypotension (OR = 6.18) and suffering from diabetes mellitus (OR = 2.53), respectively (all P < 0.05). The serotype distribution varied with time and across WHO regions. Overall, co-infections were reported in 47.7% of the evaluated outbreaks, and the highest pooled mortality rate (2.0%) was identified in DENV-2 dominated outbreaks. Our study emphasizes the necessity of implementing programs focused on targeted prevention, early identification, and effective treatment.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 671 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 671 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 99 15%
Student > Bachelor 86 13%
Researcher 59 9%
Student > Ph. D. Student 53 8%
Other 37 6%
Other 94 14%
Unknown 243 36%
Readers by discipline Count As %
Medicine and Dentistry 111 17%
Biochemistry, Genetics and Molecular Biology 76 11%
Immunology and Microbiology 45 7%
Agricultural and Biological Sciences 40 6%
Nursing and Health Professions 35 5%
Other 102 15%
Unknown 262 39%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 July 2017.
All research outputs
#13,561,653
of 22,988,380 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#2,249
of 6,485 outputs
Outputs of similar age
#158,931
of 312,615 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#70
of 163 outputs
Altmetric has tracked 22,988,380 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,485 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has gotten more attention than average, scoring higher than 62% 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 312,615 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.