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A generic model for the assessment of disease epidemiology: the computational basis of DisMod II

Overview of attention for article published in Population Health Metrics, April 2003
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)

Mentioned by

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2 policy sources
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1 X user

Citations

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293 Dimensions

Readers on

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196 Mendeley
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1 CiteULike
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Title
A generic model for the assessment of disease epidemiology: the computational basis of DisMod II
Published in
Population Health Metrics, April 2003
DOI 10.1186/1478-7954-1-4
Pubmed ID
Authors

Jan J Barendregt, Gerrit J van Oortmarssen, Theo Vos, Christopher JL Murray

Abstract

Epidemiology as an empirical science has developed sophisticated methods to measure the causes and patterns of disease in populations. Nevertheless, for many diseases in many countries only partial data are available. When the partial data are insufficient, but data collection is not an option, it is possible to supplement the data by exploiting the causal relations between the various variables that describe a disease process. We present a simple generic disease model with incidence, one prevalent state, and case fatality and remission. We derive a set of equations that describes this disease process and allows calculation of the complete epidemiology of a disease given a minimum of three input variables. We give the example of asthma with age-specific prevalence, remission, and mortality as inputs. Outputs are incidence and case fatality, among others. The set of equations is embedded in a software package called 'DisMod II', which is made available to the public domain by the World Health Organization.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 196 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 2%
Chile 1 <1%
South Africa 1 <1%
Australia 1 <1%
Canada 1 <1%
Estonia 1 <1%
Unknown 187 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 63 32%
Student > Ph. D. Student 25 13%
Student > Master 23 12%
Student > Doctoral Student 13 7%
Professor > Associate Professor 11 6%
Other 34 17%
Unknown 27 14%
Readers by discipline Count As %
Medicine and Dentistry 71 36%
Agricultural and Biological Sciences 13 7%
Social Sciences 12 6%
Economics, Econometrics and Finance 12 6%
Mathematics 10 5%
Other 39 20%
Unknown 39 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 23 February 2024.
All research outputs
#4,828,882
of 25,372,398 outputs
Outputs from Population Health Metrics
#140
of 417 outputs
Outputs of similar age
#8,896
of 62,570 outputs
Outputs of similar age from Population Health Metrics
#2
of 3 outputs
Altmetric has tracked 25,372,398 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 417 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 65% 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 62,570 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 84% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.