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Surveillance and response for high-risk populations: what can malaria elimination programmes learn from the experience of HIV?

Overview of attention for article published in Malaria Journal, January 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (79th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

policy
1 policy source
twitter
6 X users
facebook
1 Facebook page

Citations

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24 Dimensions

Readers on

mendeley
121 Mendeley
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Title
Surveillance and response for high-risk populations: what can malaria elimination programmes learn from the experience of HIV?
Published in
Malaria Journal, January 2017
DOI 10.1186/s12936-017-1679-1
Pubmed ID
Authors

Jerry O. Jacobson, Carmen Cueto, Jennifer L. Smith, Jimee Hwang, Roly Gosling, Adam Bennett

Abstract

To eliminate malaria, malaria programmes need to develop new strategies for surveillance and response appropriate for the changing epidemiology that accompanies transmission decline, in which transmission is increasingly driven by population subgroups whose behaviours place them at increased exposure. Conventional tools of malaria surveillance and response are likely not sufficient in many elimination settings for accessing high-risk population subgroups, such as mobile and migrant populations (MMPs), given their greater likelihood of asymptomatic infections, illegal risk behaviours, limited access to public health facilities, and high mobility including extended periods travelling away from home. More adaptive, targeted strategies are needed to monitor transmission and intervention coverage effectively in these groups. Much can be learned from HIV programmes' experience with "second generation surveillance", including how to rapidly adapt surveillance and response strategies to changing transmission patterns, biological and behavioural surveys that utilize targeted sampling methods for specific behavioural subgroups, and methods for population size estimation. This paper reviews the strategies employed effectively for HIV programmes and offers considerations and recommendations for adapting them to the malaria elimination context.

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 <1%
Unknown 120 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 28 23%
Researcher 20 17%
Student > Ph. D. Student 13 11%
Other 5 4%
Student > Doctoral Student 5 4%
Other 18 15%
Unknown 32 26%
Readers by discipline Count As %
Medicine and Dentistry 31 26%
Nursing and Health Professions 14 12%
Social Sciences 10 8%
Agricultural and Biological Sciences 9 7%
Environmental Science 4 3%
Other 17 14%
Unknown 36 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 April 2018.
All research outputs
#4,595,612
of 24,744,050 outputs
Outputs from Malaria Journal
#1,065
of 5,793 outputs
Outputs of similar age
#86,555
of 427,981 outputs
Outputs of similar age from Malaria Journal
#19
of 110 outputs
Altmetric has tracked 24,744,050 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one has done well, scoring higher than 81% 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 427,981 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 110 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.