| Title |
A systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels
|
|---|---|
| Published in |
BMC Public Health, March 2012
|
| DOI | 10.1186/1471-2458-12-251 |
| Pubmed ID | |
| Authors |
Diana M Prieto, Tapas K Das, Alex A Savachkin, Andres Uribe, Ricardo Izurieta, Sharad Malavade |
| Abstract |
In recent years, computer simulation models have supported development of pandemic influenza preparedness policies. However, U.S. policymakers have raised several concerns about the practical use of these models. In this review paper, we examine the extent to which the current literature already addresses these concerns and identify means of enhancing the current models for higher operational use. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Italy | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 5% |
| Australia | 1 | <1% |
| Unknown | 110 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 16% |
| Student > Master | 19 | 16% |
| Student > Ph. D. Student | 16 | 14% |
| Student > Postgraduate | 10 | 9% |
| Student > Bachelor | 9 | 8% |
| Other | 21 | 18% |
| Unknown | 23 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 19 | 16% |
| Nursing and Health Professions | 9 | 8% |
| Engineering | 9 | 8% |
| Business, Management and Accounting | 7 | 6% |
| Computer Science | 7 | 6% |
| Other | 33 | 28% |
| Unknown | 33 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 April 2022.
All research outputs
#14,081,335
of 22,664,267 outputs
Outputs from BMC Public Health
#10,184
of 14,743 outputs
Outputs of similar age
#94,223
of 160,569 outputs
Outputs of similar age from BMC Public Health
#124
of 171 outputs
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