| Title |
Evaluating the Completeness of HIV Surveillance Using Capture–Recapture Models, Alameda County, California
|
|---|---|
| Published in |
AIDS and Behavior, August 2017
|
| DOI | 10.1007/s10461-017-1883-6 |
| Pubmed ID | |
| Authors |
Paul Wesson, Richard Lechtenberg, Arthur Reingold, Willi McFarland, Neena Murgai |
| Abstract |
HIV prevalence in Alameda County (including Oakland) is among the highest in California, yet the case registry may under-appreciate the full burden of disease. Using lists from health care facilities serving socioeconomically diverse populations and the HIV surveillance list, we applied capture-recapture methods to evaluate the completeness of the surveillance system by estimating the number of diagnosed people living with HIV and seeking care in Alameda County in 2013. Of the 5376 unique individuals reported from the lists, 397 were missing from the surveillance list. Models projected the total population size to be 5720 (95% CI 5587-6190), estimating the surveillance system as 87% complete. Subgroup analyses identified groups facing a disproportionate burden of HIV as more likely to be detected by the surveillance list. The Alameda County HIV surveillance system reports a high proportion of persons diagnosed with HIV within the jurisdiction. Capture-recapture analysis can help track progress towards maximizing engagement in HIV care. |
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 % |
|---|---|---|
| United States | 3 | 100% |
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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 20 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 20% |
| Researcher | 3 | 15% |
| Student > Master | 3 | 15% |
| Professor | 1 | 5% |
| Other | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 6 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 25% |
| Medicine and Dentistry | 3 | 15% |
| Agricultural and Biological Sciences | 2 | 10% |
| Environmental Science | 1 | 5% |
| Social Sciences | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 7 | 35% |
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 06 June 2018.
All research outputs
#14,906,966
of 23,849,058 outputs
Outputs from AIDS and Behavior
#2,227
of 3,566 outputs
Outputs of similar age
#178,845
of 319,314 outputs
Outputs of similar age from AIDS and Behavior
#44
of 75 outputs
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