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Times from Infection to Disease-Induced Death and their Influence on Final Population Sizes After Epidemic Outbreaks

Overview of attention for article published in Bulletin of Mathematical Biology, May 2018
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Title
Times from Infection to Disease-Induced Death and their Influence on Final Population Sizes After Epidemic Outbreaks
Published in
Bulletin of Mathematical Biology, May 2018
DOI 10.1007/s11538-018-0446-y
Pubmed ID
Authors

Alex P. Farrell, James P. Collins, Amy L. Greer, Horst R. Thieme

Abstract

For epidemic models, it is shown that fatal infectious diseases cannot drive the host population into extinction if the incidence function is upper density-dependent. This finding holds even if a latency period is included and the time from infection to disease-induced death has an arbitrary length distribution. However, if the incidence function is also lower density-dependent, very infectious diseases can lead to a drastic decline of the host population. Further, the final population size after an epidemic outbreak can possibly be substantially affected by the infection-age distribution of the initial infectives if the life expectations of infected individuals are an unbounded function of infection age (time since infection). This is the case for lognormal distributions, which fit data from infection experiments involving tiger salamander larvae and ranavirus better than gamma distributions and Weibull distributions.

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The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Professor 2 15%
Professor > Associate Professor 2 15%
Student > Ph. D. Student 2 15%
Lecturer 1 8%
Student > Bachelor 1 8%
Other 3 23%
Unknown 2 15%
Readers by discipline Count As %
Environmental Science 3 23%
Mathematics 2 15%
Veterinary Science and Veterinary Medicine 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Nursing and Health Professions 1 8%
Other 2 15%
Unknown 3 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 June 2019.
All research outputs
#14,403,896
of 23,070,218 outputs
Outputs from Bulletin of Mathematical Biology
#637
of 1,105 outputs
Outputs of similar age
#186,949
of 330,209 outputs
Outputs of similar age from Bulletin of Mathematical Biology
#15
of 28 outputs
Altmetric has tracked 23,070,218 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,105 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 39th percentile – i.e., 39% 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 330,209 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 28 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.