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Mathematical models for devising the optimal Ebola virus disease eradication

Overview of attention for article published in Journal of Translational Medicine, June 2017
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2 X users
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1 Facebook page

Citations

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27 Dimensions

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35 Mendeley
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1 CiteULike
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Title
Mathematical models for devising the optimal Ebola virus disease eradication
Published in
Journal of Translational Medicine, June 2017
DOI 10.1186/s12967-017-1224-6
Pubmed ID
Authors

Shuo Jiang, Kaiqin Wang, Chaoqun Li, Guangbin Hong, Xuan Zhang, Menglin Shan, Hongbin Li, Jin Wang

Abstract

The 2014-2015 epidemic of Ebola virus disease (EVD) in West Africa defines an unprecedented health threat for human. We construct a mathematical model to devise the optimal Ebola virus disease eradication plan. We used mathematical model to investigate the numerical spread of Ebola and eradication pathways, further fit our model against the real total cases data and calculated infection rate as 1.754. With incorporating hospital isolation and application of medication in our model and analyzing their effect on resisting the spread, we demonstrate the second peak of 10,029 total cases in 23 days, and expect to eradicate EVD in 285 days. Using the regional spread of EVD with our transmission model analysis, we analyzed the numbers of new infections through four important transmission paths including household, community, hospital and unsafe funeral. Based on the result of the model, we find out the key paths in different situations and propose our suggestion to control regional transmission. We fully considers Ebola characteristics, economic and time optimization, dynamic factors and local condition constraints, and to make our plan realistic, sensible and feasible.

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The data shown below were collected from the profiles of 2 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 14%
Student > Doctoral Student 4 11%
Other 3 9%
Student > Bachelor 3 9%
Unspecified 2 6%
Other 9 26%
Unknown 9 26%
Readers by discipline Count As %
Mathematics 10 29%
Medicine and Dentistry 6 17%
Nursing and Health Professions 3 9%
Veterinary Science and Veterinary Medicine 2 6%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 12 34%
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 02 June 2017.
All research outputs
#14,349,470
of 22,977,819 outputs
Outputs from Journal of Translational Medicine
#1,796
of 4,015 outputs
Outputs of similar age
#176,867
of 316,526 outputs
Outputs of similar age from Journal of Translational Medicine
#40
of 77 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,015 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 50% 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 316,526 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 77 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.