A Mixed-methods Study to Identify Behaviors of High-performing Contact Tracers

Optimal contact tracing activities rely on CTs balancing different dimensions of behavior that include rapport building, efficiency, comprehensive data collection, and adaptability in interactions. These indicators may be useful to monitor and measure regularly to ensure CTs effectively engage members of the public in disease containment activities.

Authors

Paul Johnson (ORCID: https://orcid.org/0000-0003-3342-3504)
Abigail Grace
Jack Tsai (ORCID: https://orcid.org/0000-0002-0329-648X)

Institutions

Gazprom (Russia) (RU)
Apple (Israel) (IL)
The University of Texas at San Antonio Health Science Center (US)
Institute for Conflict Research (GB)
The University of Texas Health Science Center at Houston (US)

Publication Details

Journal: Journal of Public Health Management and Practice
Published: 2025-09-25
DOI: https://doi.org/10.1097/phh.0000000000002244
Primary Topic: COVID-19 epidemiological studies
Type: article
Field-Weighted Citation Impact: 0.00

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article

A Mixed-methods Study to Identify Behaviors of High-performing Contact Tracers

Paul Johnson, Abigail Grace, Jack Tsai

Sep 25, 2025

Journal of Public Health Management and Practice

COVID-19 epidemiological studies

article

A Mixed-methods Study to Identify Behaviors of High-performing Contact Tracers

Paul Johnson, Abigail Grace, Jack Tsai

September 25, 2025article en

Abstract

Optimal contact tracing activities rely on CTs balancing different dimensions of behavior that include rapport building, efficiency, comprehensive data collection, and adaptability in interactions. These indicators may be useful to monitor and measure regularly to ensure CTs effectively engage members of the public in disease containment activities.

Journal of Public Health Management and PracticeVol. 31(6)

Gazprom (Russia) (RU), Apple (Israel) (IL), The University of Texas at San Antonio Health Science Center (US), Institute for Conflict Research (GB), The University of Texas Health Science Center at Houston (US)

Openalex Percentile: Top 70%

COVID-19 epidemiological studies

DOI Source OpenAlex

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A Mixed-methods Study to Identify Behaviors of High-performing Contact Tracers — Paul Johnson, Abigail Grace, et al. · Journal of Public Health Management and Practice (2025) | TGRS Research Map | TGRS