↓ Skip to main content

Determinants of patient survival during the 2014 Ebola Virus Disease outbreak in Bong County, Liberia

Overview of attention for article published in Global Health Research and Policy, June 2016
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 200)
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
4 news outlets

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Determinants of patient survival during the 2014 Ebola Virus Disease outbreak in Bong County, Liberia
Published in
Global Health Research and Policy, June 2016
DOI 10.1186/s41256-016-0005-8
Pubmed ID
Authors

Thomas A. Weppelmann, Bangure Donewell, Ubydul Haque, Wenbiao Hu, Ricardo J. Soares Magalhaes, Mutaawe Lubogo, Lucas Godbless, Sasita Shabani, Justin Maeda, Herilinda Temba, Theophil C. Malibiche, Naod Berhanu, Wenyi Zhang, Luke Bawo

Abstract

The unprecedented size of the 2014 Ebola Virus Disease (EVD) outbreak in West Africa has allowed for a more extensive characterization of the clinical presentation and management of this disease. In this study, we report the trends in morbidity, mortality, and determinants of patient survival as EVD spread into Bong County, Liberia. An analysis of suspected, probable, or confirmed cases of EVD (n = 607) reported to the Liberian Ministry of Health and Social Welfare (MOHSW) between March 23rd and December 31st 2014 was conducted. The likelihood of infection given exposure factors was determined using logistic regression in individuals with a definitive diagnosis by RT-PCR (n = 321). The risk of short-term mortality (30 days) given demographic factors, clinical symptoms, and highest level of treatment received was assessed with Cox regression and survival analyses (n = 391). The overall mortality rate was 53.5 % (95 % CI: 49 %, 58 %) and decreased as access to medical treatment increased. Those who reported contact with another EVD case were more likely to be infected (OR: 5.7), as were those who attended a funeral (OR: 3.9). Mortality increased with age (P < 0.001) and was higher in males compared to females (P =0.006). Fever (HR: 6.63), vomiting (HR: 1.93), diarrhea (HR: 1.99), and unexplained bleeding (HR: 2.17) were associated with increased mortality. After adjusting for age, hospitalized patients had a 74 % reduction in the risk of short term mortality (P < 0.001 AHR: 0.26; 95 % CI AHR: 0.18, 0.37), compared to those not given medical intervention. Even treatment with only basic supportive care such as intravenous rehydration therapy was able to significantly improve patient survival in suspected, probable, or confirmed EVD cases.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Bachelor 4 15%
Researcher 3 11%
Other 2 7%
Lecturer 2 7%
Other 3 11%
Unknown 6 22%
Readers by discipline Count As %
Nursing and Health Professions 3 11%
Medicine and Dentistry 3 11%
Social Sciences 3 11%
Immunology and Microbiology 2 7%
Mathematics 1 4%
Other 7 26%
Unknown 8 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 32. 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 17 October 2016.
All research outputs
#1,045,845
of 22,893,031 outputs
Outputs from Global Health Research and Policy
#22
of 200 outputs
Outputs of similar age
#21,591
of 352,825 outputs
Outputs of similar age from Global Health Research and Policy
#1
of 8 outputs
Altmetric has tracked 22,893,031 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 200 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. 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 352,825 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 93% of its contemporaries.
We're also able to compare this research output to 8 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