| Title |
Hot spots, cluster detection and spatial outlier analysis of teen birth rates in the U.S., 2003–2012
|
|---|---|
| Published in |
Spatial and Spatio-temporal Epidemiology, March 2017
|
| DOI | 10.1016/j.sste.2017.03.002 |
| Pubmed ID | |
| Authors |
Diba Khan, Lauren M. Rossen, Brady E. Hamilton, Yulei He, Rong Wei, Erin Dienes |
| Abstract |
Teen birth rates have evidenced a significant decline in the United States over the past few decades. Most of the states in the US have mirrored this national decline, though some reports have illustrated substantial variation in the magnitude of these decreases across the U.S. Importantly, geographic variation at the county level has largely not been explored. We used National Vital Statistics Births data and Hierarchical Bayesian space-time interaction models to produce smoothed estimates of teen birth rates at the county level from 2003-2012. Results indicate that teen birth rates show evidence of clustering, where hot and cold spots occur, and identify spatial outliers. Findings from this analysis may help inform efforts targeting the prevention efforts by illustrating how geographic patterns of teen birth rates have changed over the past decade and where clusters of high or low teen birth rates are evident. |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Student > Master | 9 | 18% |
| Researcher | 6 | 12% |
| Student > Doctoral Student | 4 | 8% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 14 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 11 | 22% |
| Engineering | 5 | 10% |
| Medicine and Dentistry | 3 | 6% |
| Computer Science | 3 | 6% |
| Environmental Science | 2 | 4% |
| Other | 7 | 14% |
| Unknown | 19 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 April 2017.
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#17,289,387
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Outputs from Spatial and Spatio-temporal Epidemiology
#141
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#206,551
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Outputs of similar age from Spatial and Spatio-temporal Epidemiology
#4
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