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Are surveillance response systems enough to effectively combat and contain the Ebola outbreak?

Overview of attention for article published in Infectious Diseases of Poverty, January 2015
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Mentioned by

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3 tweeters

Citations

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11 Dimensions

Readers on

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59 Mendeley
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Title
Are surveillance response systems enough to effectively combat and contain the Ebola outbreak?
Published in
Infectious Diseases of Poverty, January 2015
DOI 10.1186/2049-9957-4-7
Pubmed ID
Authors

Viroj Wiwanitkit, Ernest Tambo, Emmanuel Chidiebere Ugwu, Jeane Yonkeu Ngogang, Xiao-Nong Zhou

Abstract

The epidemic of the Ebola virus infection in West Africa in 2014 has become a worldwide concern. Due to the nature of the disease, which has an extremely high mortality potential, this outbreak has received much attention from researchers and public health workers. An article entitled "Need of surveillance response systems to combat Ebola outbreaks and other emerging infectious diseases in African countries," published in the journal Infectious Diseases of Poverty in August 2014, concluded that a good surveillance system to monitor disease transmission dynamics is essential and needs to be implemented to combat the outbreak. Issues regarding the limitation of the passive surveillance system have been raised by Professor Viroj Wiwanitkit, who emphasizes the need for an active disease detection system such as mass screening in this letter to editor. The different function between passive and active surveillance system in combating the disease outbreak has been agreed upon by Ernest Tambo et al. There have also been discussions between Wiwanitkit and Tambo et al. on the following issues: (i) the extreme resource limitations in outbreak areas, (ii) new technology to improve the available systems. Further recommendations echoed in this letter to editor by Wiwanitkit, who outlined the research priorities on the development of appropriate combined disease monitoring systems and good policy to allocate available tools and technology in resource-limited settings for epidemic scenarios. The journal's editor, Professor Xiao-Nong Zhou, has therefore collated all parts of these discussions between authors in this letter to editor paper, in order to further promote research on a combined active and passive system to combat the present extending Ebola outbreak.

Twitter Demographics

The data shown below were collected from the profiles of 3 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 2%
Kenya 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 14%
Researcher 8 14%
Student > Bachelor 8 14%
Student > Ph. D. Student 6 10%
Unspecified 6 10%
Other 23 39%
Readers by discipline Count As %
Medicine and Dentistry 21 36%
Unspecified 10 17%
Nursing and Health Professions 7 12%
Agricultural and Biological Sciences 4 7%
Veterinary Science and Veterinary Medicine 3 5%
Other 14 24%

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 12 February 2015.
All research outputs
#2,358,862
of 4,751,697 outputs
Outputs from Infectious Diseases of Poverty
#57
of 112 outputs
Outputs of similar age
#76,153
of 164,328 outputs
Outputs of similar age from Infectious Diseases of Poverty
#9
of 18 outputs
Altmetric has tracked 4,751,697 research outputs across all sources so far. This one is in the 47th percentile – i.e., 47% of other outputs scored the same or lower than it.
So far Altmetric has tracked 112 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 164,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 18 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 50% of its contemporaries.