| Title |
An Online Risk Index for the Cross-Sectional Prediction of New HIV Chlamydia, and Gonorrhea Diagnoses Across U.S. Counties and Across Years
|
|---|---|
| Published in |
AIDS and Behavior, February 2018
|
| DOI | 10.1007/s10461-018-2046-0 |
| Pubmed ID | |
| Authors |
Man-pui Sally Chan, Sophie Lohmann, Alex Morales, Chengxiang Zhai, Lyle Ungar, David R. Holtgrave, Dolores Albarracín |
| Abstract |
The present study evaluated the potential use of Twitter data for providing risk indices of STIs. We developed online risk indices (ORIs) based on tweets to predict new HIV, gonorrhea, and chlamydia diagnoses, across U.S. counties and across 5 years. We analyzed over one hundred million tweets from 2009 to 2013 using open-vocabulary techniques and estimated the ORIs for a particular year by entering tweets from the same year into multiple semantic models (one for each year). The ORIs were moderately to strongly associated with the actual rates (.35 < rs < .68 for 93% of models), both nationwide and when applied to single states (California, Florida, and New York). Later models were slightly better than older ones at predicting gonorrhea and chlamydia, but not at predicting HIV. The proposed technique using free social media data provides signals of community health at a high temporal and spatial resolution. |
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 % |
|---|---|---|
| United States | 3 | 50% |
| Kazakhstan | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 14 | 26% |
| Researcher | 7 | 13% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Student > Ph. D. Student | 4 | 7% |
| Other | 8 | 15% |
| Unknown | 12 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 15 | 28% |
| Social Sciences | 6 | 11% |
| Nursing and Health Professions | 6 | 11% |
| Computer Science | 3 | 6% |
| Business, Management and Accounting | 3 | 6% |
| Other | 6 | 11% |
| Unknown | 15 | 28% |
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 May 2018.
All research outputs
#14,066,901
of 24,059,832 outputs
Outputs from AIDS and Behavior
#1,849
of 3,601 outputs
Outputs of similar age
#222,698
of 449,405 outputs
Outputs of similar age from AIDS and Behavior
#36
of 78 outputs
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So far Altmetric has tracked 3,601 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.0. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 78 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.