Identifying predictors for counties that have exceptionally low STI case rates in the US (2019): a positive deviant model

Our findings demonstrate the potential of using a PD approach for identifying and learning from high-performing LHDs. The identification of high-performing counties provides a foundation for future research to explore the nuanced interventions contributing to their success, ultimately informing targeted public health strategies and resource allocation.

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Publication Details

Journal
Sexual Health
Published
2025-12-05
DOI
https://doi.org/10.1071/sh25164
Primary Topic
Health Policy Implementation Science
Type
article
Field-Weighted Citation Impact
0.00
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article

Identifying predictors for counties that have exceptionally low STI case rates in the US (2019): a positive deviant model

Sungwon Lim, Jillian Pintye, David Grembowski, Betty Bekemeier
Sexual Health
Health Policy Implementation Science
article

Identifying predictors for counties that have exceptionally low STI case rates in the US (2019): a positive deviant model

Sungwon Lim, Jillian Pintye, David Grembowski, Betty Bekemeier
article en

Abstract

Our findings demonstrate the potential of using a PD approach for identifying and learning from high-performing LHDs. The identification of high-performing counties provides a foundation for future research to explore the nuanced interventions contributing to their success, ultimately informing targeted public health strategies and resource allocation.

Sexual HealthVol. 23(1)
Gyeongju University (KR), University of Washington (US), Dongguk University (KR), Neurobehavioral Systems (US), University of Wisconsin Health (US)
Openalex Percentile: Top 45%
Health Policy Implementation Science
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Identifying predictors for counties that have exceptionally low STI case rates in the US (2019): a positive deviant model — Sungwon Lim, Jillian Pintye, et al. · Sexual Health (2025) | TGRS Research Map | TGRS