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Age-shifting in malaria incidence as a result of induced immunological deficit: a simulation study

Overview of attention for article published in Malaria Journal, July 2015
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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 (76th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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9 X users

Citations

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37 Dimensions

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102 Mendeley
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Title
Age-shifting in malaria incidence as a result of induced immunological deficit: a simulation study
Published in
Malaria Journal, July 2015
DOI 10.1186/s12936-015-0805-1
Pubmed ID
Authors

Peter Pemberton-Ross, Thomas A Smith, Eva Maria Hodel, Katherine Kay, Melissa A Penny

Abstract

Effective population-level interventions against Plasmodium falciparum malaria lead to age-shifts, delayed morbidity or rebounds in morbidity and mortality whenever they are deployed in ways that do not permanently interrupt transmission. When long-term intervention programmes target specific age-groups of human hosts, the age-specific morbidity rates ultimately adjust to new steady-states, but it is very difficult to study these rates and the temporal dynamics leading up to them empirically because the changes occur over very long time periods. This study investigates the age and magnitude of age- and time- shifting of incidence induced by either pre-erythrocytic vaccination (PEV) programmes or seasonal malaria chemo-prevention (SMC), using an ensemble of individual-based stochastic simulation models of P. falciparum dynamics. The models made various assumptions about immunity decay, transmission heterogeneity and were parameterized with data on both age-specific infection and disease incidence at different levels of exposure, on the durations of different stages of the parasite life-cycle and on human demography. Effects of transmission intensity, and of levels of access to malaria treatment were considered. While both PEV and SMC programmes are predicted to have overall strongly positive health effects, a shift of morbidity into older children is predicted to be induced by either programme if transmission levels remain static and not reduced by other interventions. Predicted shifting of burden continue into the second decade of the programme. Even if long-term surveillance is maintained it will be difficult to avoid mis-attribution of such long-term changes in age-specific morbidity patterns to other factors. Conversely, short-lived transient changes in incidence measured soon after introduction of a new intervention may give over-positive views of future impacts. Complementary intervention strategies could be designed to specifically protect those age-groups at risk from burden shift.

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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
United States 1 <1%
Unknown 100 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 21%
Researcher 18 18%
Student > Ph. D. Student 14 14%
Student > Doctoral Student 8 8%
Student > Bachelor 8 8%
Other 15 15%
Unknown 18 18%
Readers by discipline Count As %
Medicine and Dentistry 21 21%
Agricultural and Biological Sciences 15 15%
Nursing and Health Professions 8 8%
Computer Science 7 7%
Mathematics 5 5%
Other 26 25%
Unknown 20 20%
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 19 October 2015.
All research outputs
#5,917,671
of 24,400,706 outputs
Outputs from Malaria Journal
#1,421
of 5,827 outputs
Outputs of similar age
#63,962
of 267,724 outputs
Outputs of similar age from Malaria Journal
#23
of 102 outputs
Altmetric has tracked 24,400,706 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 5,827 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one has done well, scoring higher than 75% 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 267,724 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 76% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.