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Modelling control of Schistosoma haematobium infection: predictions of the long-term impact of mass drug administration in Africa

Overview of attention for article published in Parasites & Vectors, October 2015
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

policy
1 policy source
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9 X users

Citations

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56 Dimensions

Readers on

mendeley
130 Mendeley
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Title
Modelling control of Schistosoma haematobium infection: predictions of the long-term impact of mass drug administration in Africa
Published in
Parasites & Vectors, October 2015
DOI 10.1186/s13071-015-1144-3
Pubmed ID
Authors

David Gurarie, Nara Yoon, Emily Li, Martial Ndeffo-Mbah, David Durham, Anna E. Phillips, H. Osvaldo Aurelio, Josefo Ferro, Alison P. Galvani, Charles H. King

Abstract

Effective control of schistosomiasis remains a challenging problem for endemic areas of the world. Given knowledge of the biology of transmission and past experience with mass drug administration (MDA) programs, it is important to critically evaluate the likelihood that MDA programs will achieve substantial reductions in Schistosoma prevalence. In implementing the World Health Organization Roadmap for Neglected Tropical Diseases it would useful for policymaking to model projections of the status of Schistosoma control in MDA-treated areas in the next 5-10 years. Calibrated mathematical models were used to project the effects of different frequency and coverage of MDA for schistosomiasis haematobia control in present-day endemic communities, taking into account uncertainties of parasite biology and input data. The modeling approach in this analysis was the Stratified Worm Burden model developed in our earlier works, calibrated using data from longitudinal S. haematobium control trials in Kenya. Model-based simulations of MDA control in typical low-risk and higher-risk communities indicated that infection prevalence can be substantially reduced within 10 years only when there is a high degree of community participation (>70 %) with at least annual MDA. Significant risk for re-emergence of infection remains if MDA is suspended. In a stable (stationary) ecosystem, Schistosoma reproduction and transmission are sufficiently robust that the process of human infection continues, even under pressure from aggressive MDA. MDA alone is unlikely to interrupt transmission, and once mass treatment is suspended, the prevalence of human infection is likely to rebound to pre-control levels over a period of 25-30 years. MDA success in achieving very low levels of infection prevalence is highly dependent on treatment coverage and frequency within the local human population, and requires that both adults and children be included in drug delivery coverage. Ultimately, supplemental snail control and significant improvements in sanitation will be required to achieve full control of schistosomiasis by elimination of ongoing Schistosoma transmission.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 130 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Unknown 129 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 26 20%
Student > Ph. D. Student 24 18%
Researcher 14 11%
Professor 8 6%
Student > Bachelor 7 5%
Other 22 17%
Unknown 29 22%
Readers by discipline Count As %
Medicine and Dentistry 28 22%
Agricultural and Biological Sciences 18 14%
Nursing and Health Professions 10 8%
Mathematics 8 6%
Social Sciences 7 5%
Other 27 21%
Unknown 32 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 13 March 2023.
All research outputs
#4,180,577
of 25,477,125 outputs
Outputs from Parasites & Vectors
#890
of 6,015 outputs
Outputs of similar age
#53,207
of 294,456 outputs
Outputs of similar age from Parasites & Vectors
#13
of 160 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done well, scoring higher than 85% 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 294,456 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 81% of its contemporaries.
We're also able to compare this research output to 160 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.