| Title |
ICARES: a real-time automated detection tool for clusters of infectious diseases in the Netherlands
|
|---|---|
| Published in |
BMC Infectious Diseases, March 2017
|
| DOI | 10.1186/s12879-017-2300-5 |
| Pubmed ID | |
| Authors |
Geert H. Groeneveld, Anton Dalhuijsen, Chakib Kara-Zaïtri, Bob Hamilton, Margot W. de Waal, Jaap T. van Dissel, Jim E. van Steenbergen |
| Abstract |
Clusters of infectious diseases are frequently detected late. Real-time, detailed information about an evolving cluster and possible associated conditions is essential for local policy makers, travelers planning to visit the area, and the local population. This is currently illustrated in the Zika virus outbreak. In the Netherlands, ICARES (Integrated Crisis Alert and Response System) has been developed and tested on three syndromes as an automated, real-time tool for early detection of clusters of infectious diseases. From local general practices, General Practice Out-of-Hours services and a hospital, the numbers of routinely used syndrome codes for three piloted tracts i.e., respiratory tract infection, hepatitis and encephalitis/meningitis, are sent on a daily basis to a central unit of infectious disease control. Historic data combined with information about patients' syndromes, age cohort, gender and postal code area have been used to detect clusters of cases. During the first 2 years, two out of eight alerts appeared to be a real cluster. The first was part of the seasonal increase in Enterovirus encephalitis and the second was a remarkably long lasting influenza season with high peak incidence. This tool is believed to be the first flexible automated, real-time cluster detection system for infectious diseases, based on physician information from both general practitioners and hospitals. ICARES is able to detect and follow small regional clusters in real time and can handle any diseases entity that is regularly registered by first line physicians. Its value will be improved when more health care institutions agree to link up with ICARES thus improving further the signal-to-noise ratio. |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 68 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 8 | 11% |
| Student > Ph. D. Student | 8 | 11% |
| Other | 5 | 7% |
| Other | 8 | 11% |
| Unknown | 16 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 19% |
| Agricultural and Biological Sciences | 8 | 11% |
| Psychology | 6 | 9% |
| Engineering | 5 | 7% |
| Nursing and Health Professions | 4 | 6% |
| Other | 15 | 21% |
| Unknown | 19 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 28 January 2021.
All research outputs
#7,523,397
of 22,959,818 outputs
Outputs from BMC Infectious Diseases
#2,573
of 7,707 outputs
Outputs of similar age
#121,007
of 307,900 outputs
Outputs of similar age from BMC Infectious Diseases
#75
of 162 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,707 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 62% of its peers.
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We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.