This paper is in the following e-collection/theme issue:

Digital Contact Tracing, Digital Proximity Tracing, Precision Public Health (153) JMIR Theme Issue: COVID-19 Special Issue (2478) Outbreak and Pandemic Preparedness and Management (1771) Surveillance Systems (483) Innovative Methods in Public Health and Surveillance (353) Public Health Informatics (100)

Published on in Vol 9 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/38633, first published .
Adaptation and Utilization of a Postmarket Evaluation Model for Digital Contact Tracing Mobile Health Tools in the United States: Observational Cross-sectional Study

Adaptation and Utilization of a Postmarket Evaluation Model for Digital Contact Tracing Mobile Health Tools in the United States: Observational Cross-sectional Study

Adaptation and Utilization of a Postmarket Evaluation Model for Digital Contact Tracing Mobile Health Tools in the United States: Observational Cross-sectional Study

Authors of this article:

Kevin E Cevasco1 Author Orcid Image ;   Amira A Roess1 Author Orcid Image
Article Authors Cited by (3) Tweetations (3) Metrics

Journals

  1. Chow B, Lim Y, Poh R, Ko A, Hong G, Zou S, Cheah J, Ho S, Lee V, Ho M. Use of a digital contact tracing system in Singapore to mitigate COVID-19 spread. BMC Public Health 2023;23(1) View
  2. Züfle A, Pfoser D, Wenk C, Crooks A, Kavak H, Anderson T, Kim J, Holt N, Diantonio A. In Silico Human Mobility Data Science: Leveraging Massive Simulated Mobility Data (Vision Paper). ACM Transactions on Spatial Algorithms and Systems 2024;10(2):1 View
  3. Liu S, Ma J, Sun M, Zhang C, Gao Y, Xu J. Mapping the Landscape of Digital Health Intervention Strategies: 25-Year Synthesis. Journal of Medical Internet Research 2025;27:e59027 View