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Optimal Timing of Disease Transmission in an Age-Structured Population

Overview of attention for article published in Bulletin of Mathematical Biology, August 2007
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Citations

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Title
Optimal Timing of Disease Transmission in an Age-Structured Population
Published in
Bulletin of Mathematical Biology, August 2007
DOI 10.1007/s11538-007-9238-5
Pubmed ID
Authors

Timothy C. Reluga, Jan Medlock, Eric Poolman, Alison P. Galvani

Abstract

It is a common medical folk-practice for parents to encourage their children to contract certain infectious diseases while they are young. This folk-practice is controversial, in part, because it contradicts the long-term public health goal of minimizing disease incidence. We study an epidemiological model of infectious disease in an age-structured population where virulence is age-dependent and show that, in some cases, the optimal behavior will increase disease transmission. This provides a rigorous justification of the concept of "endemic stability," and demonstrates that folk-practices may have been historically justified.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
India 1 4%
United States 1 4%
Unknown 25 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 30%
Student > Ph. D. Student 4 15%
Professor > Associate Professor 3 11%
Student > Master 3 11%
Other 1 4%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Mathematics 6 22%
Agricultural and Biological Sciences 5 19%
Medicine and Dentistry 4 15%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Environmental Science 1 4%
Other 4 15%
Unknown 6 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 March 2008.
All research outputs
#15,240,835
of 22,660,862 outputs
Outputs from Bulletin of Mathematical Biology
#720
of 1,095 outputs
Outputs of similar age
#57,522
of 66,969 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#5
of 6 outputs
Altmetric has tracked 22,660,862 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,095 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 22nd percentile – i.e., 22% 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 66,969 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.