| Title |
Faster Detection of Poliomyelitis Outbreaks to Support Polio Eradication - Volume 22, Number 3—March 2016 - Emerging Infectious Diseases journal - CDC
|
|---|---|
| Published in |
Emerging Infectious Diseases, March 2016
|
| DOI | 10.3201/eid2203.151394 |
| Pubmed ID | |
| Authors |
Isobel M. Blake, Paul Chenoweth, Hiro Okayasu, Christl A. Donnelly, R. Bruce Aylward, Nicholas C. Grassly |
| Abstract |
As the global eradication of poliomyelitis approaches the final stages, prompt detection of new outbreaks is critical to enable a fast and effective outbreak response. Surveillance relies on reporting of acute flaccid paralysis (AFP) cases and laboratory confirmation through isolation of poliovirus from stool. However, delayed sample collection and testing can delay outbreak detection. We investigated whether weekly testing for clusters of AFP by location and time, using the Kulldorff scan statistic, could provide an early warning for outbreaks in 20 countries. A mixed-effects regression model was used to predict background rates of nonpolio AFP at the district level. In Tajikistan and Congo, testing for AFP clusters would have resulted in an outbreak warning 39 and 11 days, respectively, before official confirmation of large outbreaks. This method has relatively high specificity and could be integrated into the current polio information system to support rapid outbreak response activities. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 33% |
| Algeria | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 1% |
| Switzerland | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 24% |
| Researcher | 14 | 21% |
| Student > Bachelor | 7 | 10% |
| Student > Ph. D. Student | 6 | 9% |
| Lecturer | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 23 | 34% |
| Nursing and Health Professions | 8 | 12% |
| Agricultural and Biological Sciences | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 6% |
| Computer Science | 2 | 3% |
| Other | 8 | 12% |
| Unknown | 16 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 06 November 2016.
All research outputs
#2,779,044
of 22,849,304 outputs
Outputs from Emerging Infectious Diseases
#2,806
of 9,104 outputs
Outputs of similar age
#45,634
of 298,390 outputs
Outputs of similar age from Emerging Infectious Diseases
#47
of 132 outputs
Altmetric has tracked 22,849,304 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,104 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 69% 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 298,390 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 84% of its contemporaries.
We're also able to compare this research output to 132 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 63% of its contemporaries.