↓ Skip to main content

Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods

Overview of attention for article published in BMC Public Health, February 2014
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
6 news outlets
policy
4 policy sources
twitter
14 X users

Citations

dimensions_citation
274 Dimensions

Readers on

mendeley
311 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Measuring underreporting and under-ascertainment in infectious disease datasets: a comparison of methods
Published in
BMC Public Health, February 2014
DOI 10.1186/1471-2458-14-147
Pubmed ID
Authors

Cheryl L Gibbons, Marie-Josée J Mangen, Dietrich Plass, Arie H Havelaar, Russell John Brooke, Piotr Kramarz, Karen L Peterson, Anke L Stuurman, Alessandro Cassini, Eric M Fèvre, Mirjam EE Kretzschmar

Abstract

Efficient and reliable surveillance and notification systems are vital for monitoring public health and disease outbreaks. However, most surveillance and notification systems are affected by a degree of underestimation (UE) and therefore uncertainty surrounds the 'true' incidence of disease affecting morbidity and mortality rates. Surveillance systems fail to capture cases at two distinct levels of the surveillance pyramid: from the community since not all cases seek healthcare (under-ascertainment), and at the healthcare-level, representing a failure to adequately report symptomatic cases that have sought medical advice (underreporting). There are several methods to estimate the extent of under-ascertainment and underreporting.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 311 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Portugal 1 <1%
Netherlands 1 <1%
Kenya 1 <1%
France 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 303 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 60 19%
Student > Ph. D. Student 56 18%
Student > Master 52 17%
Student > Bachelor 18 6%
Other 15 5%
Other 48 15%
Unknown 62 20%
Readers by discipline Count As %
Medicine and Dentistry 63 20%
Agricultural and Biological Sciences 31 10%
Biochemistry, Genetics and Molecular Biology 21 7%
Nursing and Health Professions 20 6%
Social Sciences 17 5%
Other 75 24%
Unknown 84 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 67. 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 December 2023.
All research outputs
#646,618
of 25,727,480 outputs
Outputs from BMC Public Health
#641
of 17,794 outputs
Outputs of similar age
#6,786
of 332,010 outputs
Outputs of similar age from BMC Public Health
#9
of 266 outputs
Altmetric has tracked 25,727,480 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 17,794 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 done particularly well, scoring higher than 96% 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 332,010 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 97% of its contemporaries.
We're also able to compare this research output to 266 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.