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

Demographics of Users, Social & Digital Divide (725) Public (e)Health, Digital Epidemiology and Public Health Informatics (700) Web-based and Mobile Health Interventions (3253)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43132, first published .
Adaptive Content Tuning of Social Network Digital Health Interventions Using Control Systems Engineering for Precision Public Health: Cluster Randomized Controlled Trial

Adaptive Content Tuning of Social Network Digital Health Interventions Using Control Systems Engineering for Precision Public Health: Cluster Randomized Controlled Trial

Adaptive Content Tuning of Social Network Digital Health Interventions Using Control Systems Engineering for Precision Public Health: Cluster Randomized Controlled Trial

Authors of this article:

Paulo Rocha1 Author Orcid Image ;   Diego Pinheiro2 Author Orcid Image ;   Rodrigo de Paula Monteiro2 Author Orcid Image ;   Ela Tubert1 Author Orcid Image ;   Erick Romero1 Author Orcid Image ;   Carmelo Bastos-Filho3 Author Orcid Image ;   Miriam Nuno4 Author Orcid Image ;   Martin Cadeiras1 Author Orcid Image
Article Authors Cited by (2) Tweetations (2) Metrics

Journals

  1. Liem D, Silva H, Romero E, Rocha P, Acevedo P, Izu M, Ballal A, Soroya M, López J, Nuno M, Quazi A, Mukherjee C, Linklater W, Ebong I, Zhang X, Izu L, Sirish P, Chiamvimonvat N, Cadeiras M. Association of Neighborhood and Environmental Factors With Clinical Phenotypes and Outcomes in Heart Failure With Preserved Ejection Fraction. Circulation Research 2024;135(1):155 View
  2. Arigo D, Jake-Schoffman D, Pagoto S. The recent history and near future of digital health in the field of behavioral medicine: an update on progress from 2019 to 2024. Journal of Behavioral Medicine 2024 View