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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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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 (80th percentile)

Mentioned by

policy
3 policy sources

Citations

dimensions_citation
233 Dimensions

Readers on

mendeley
147 Mendeley
citeulike
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.

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 3%
South Africa 1 <1%
Australia 1 <1%
Chile 1 <1%
Canada 1 <1%
Estonia 1 <1%
Unknown 138 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 55 37%
Student > Ph. D. Student 17 12%
Student > Master 17 12%
Student > Doctoral Student 12 8%
Professor > Associate Professor 10 7%
Other 28 19%
Unknown 8 5%
Readers by discipline Count As %
Medicine and Dentistry 64 44%
Agricultural and Biological Sciences 14 10%
Social Sciences 10 7%
Mathematics 9 6%
Economics, Econometrics and Finance 7 5%
Other 27 18%
Unknown 16 11%

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 December 2018.
All research outputs
#1,912,946
of 14,557,618 outputs
Outputs from Population Health Metrics
#58
of 306 outputs
Outputs of similar age
#52,191
of 265,779 outputs
Outputs of similar age from Population Health Metrics
#1
of 1 outputs
Altmetric has tracked 14,557,618 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 306 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one has done well, scoring higher than 80% 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 265,779 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 80% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them