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Why is Zika virus so rarely detected during outbreaks and how can detection be improved?

Overview of attention for article published in BMC Research Notes, October 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

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5 X users
wikipedia
1 Wikipedia page

Citations

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4 Dimensions

Readers on

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29 Mendeley
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Title
Why is Zika virus so rarely detected during outbreaks and how can detection be improved?
Published in
BMC Research Notes, October 2017
DOI 10.1186/s13104-017-2854-8
Pubmed ID
Authors

Diawo Diallo, Mawlouth Diallo

Abstract

Even during outbreaks, detection of Zika virus (ZIKV; genus Flavivirus, family Flaviviridae) in its mosquito vectors is surprisingly uncommon. Here we explore the reason for this apparent paradox and suggest strategies for improving the efficacy of ZIKV detection. There are several likely explanations for the rarity of ZIKV detection in field-collected mosquitoes during outbreaks, including the lag between the period when people are clinically ill and the initiation of entomological investigations, the prompt spraying of houses of identified cases, the difficulty of identifying some of the households of ZIKV infected cases, and the low efficiency of the sampling methods currently available. Thus, timely entomological investigation of suspected cases before the intervention of the vector control squad would enhance ZIKV detection from mosquitoes. For this to happen, administrative, financial and logistical issues must be solved before the beginning of outbreaks, and routine entomological surveillance must be conducted in foci of ZIKV amplification. Improving ZIKV detection during outbreaks is of paramount importance because identification of the mosquito species and population involved as vector in a given outbreak is a key element to a comprehensive and effective vector control strategy.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Student > Bachelor 5 17%
Researcher 4 14%
Student > Doctoral Student 3 10%
Professor 2 7%
Other 2 7%
Unknown 7 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 17%
Medicine and Dentistry 4 14%
Biochemistry, Genetics and Molecular Biology 2 7%
Nursing and Health Professions 2 7%
Arts and Humanities 1 3%
Other 7 24%
Unknown 8 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 03 November 2017.
All research outputs
#5,664,247
of 23,007,053 outputs
Outputs from BMC Research Notes
#812
of 4,284 outputs
Outputs of similar age
#91,789
of 328,606 outputs
Outputs of similar age from BMC Research Notes
#20
of 148 outputs
Altmetric has tracked 23,007,053 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,284 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 80% 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 328,606 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 71% of its contemporaries.
We're also able to compare this research output to 148 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.