| Title |
Translation of Real-Time Infectious Disease Modeling into Routine Public Health Practice
|
|---|---|
| Published in |
Emerging Infectious Diseases, May 2017
|
| DOI | 10.3201/eid2305.161720 |
| Pubmed ID | |
| Authors |
David J. Muscatello, Abrar A. Chughtai, Anita Heywood, Lauren M. Gardner, David J. Heslop, C. Raina MacIntyre |
| Abstract |
Infectious disease dynamic modeling can support outbreak emergency responses. We conducted a workshop to canvas the needs of stakeholders in Australia for practical, real-time modeling tools for infectious disease emergencies. The workshop was attended by 29 participants who represented government, defense, general practice, and academia stakeholders. We found that modeling is underused in Australia and its potential is poorly understood by practitioners involved in epidemic responses. The development of better modeling tools is desired. Ideal modeling tools for operational use would be easy to use, clearly indicate underlying parameterization and assumptions, and assist with policy and decision making. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 3 | 50% |
| United States | 1 | 17% |
| New Zealand | 1 | 17% |
| Moldova, Republic of | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 50% |
| Members of the public | 2 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 12 | 21% |
| Researcher | 9 | 16% |
| Student > Ph. D. Student | 7 | 12% |
| Student > Doctoral Student | 4 | 7% |
| Student > Bachelor | 4 | 7% |
| Other | 11 | 19% |
| Unknown | 11 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 17% |
| Nursing and Health Professions | 5 | 9% |
| Agricultural and Biological Sciences | 5 | 9% |
| Engineering | 4 | 7% |
| Computer Science | 3 | 5% |
| Other | 17 | 29% |
| Unknown | 14 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 22 March 2020.
All research outputs
#2,201,399
of 22,963,381 outputs
Outputs from Emerging Infectious Diseases
#2,326
of 9,109 outputs
Outputs of similar age
#43,556
of 310,724 outputs
Outputs of similar age from Emerging Infectious Diseases
#47
of 119 outputs
Altmetric has tracked 22,963,381 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,109 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one has gotten more attention than average, scoring higher than 74% 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 310,724 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 85% of its contemporaries.
We're also able to compare this research output to 119 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 60% of its contemporaries.