Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

The Sequential Multiple Assignment Randomized Trial for Controlling Infectious Diseases

A Review of Recent Developments

Bibliographic Data

ID14599993
AuthorsXinru Wang (0000-0002-0213-6425, Xinru Wang and Bibhas Chakraborty are with the Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore. Bibhas Chakraborty is also with the Department of Statistics and Data Science, National University of Singapore, Singapore.), Bibhas Chakraborty (0000-0002-7366-0478, Xinru Wang and Bibhas Chakraborty are with the Centre for Quantitative Medicine, Duke-NUS Medical School, Singapore. Bibhas Chakraborty is also with the Department of Statistics and Data Science, National University of Singapore, Singapore.)
Year2023
Volume113
Issue1
Pages49-59
Publication date2023-01-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2022.307135
PMID36516390
OpenAlexW4311452606
LanguageEN
References cited62

Infectious diseases have posed severe threats to public health across the world. Effective prevention and control of infectious diseases in the long term requires adapting interventions based on epidemiological evidence. The sequential multiple assignment randomized trial (SMART) is a multistage randomized trial that can provide valid evidence of when and how to adapt interventions for controlling infectious diseases based on evolving epidemiological evidence. We review recent developments in SMARTs to bring wider attention to the potential benefits of employing SMARTs in constructing effective adaptive interventions for controlling infectious diseases and other threats to public health. We discuss 2 example SMARTs for infectious diseases and summarize recent developments in SMARTs from the varied aspects of design, analysis, cost, and ethics. Public health investigators are encouraged to familiarize themselves with the related materials we discuss and collaborate with experts in SMARTs to translate the methodological developments into preeminent public health research. (Am J Public Health. 2023;113(1):49–59. https://doi.org/10.2105/AJPH.2022.307135 )

Environmental health · Pathology · Psychiatry · Psychological intervention · Public health · Public health interventions · Randomized controlled trial · Advanced Causal Inference Techniques · COVID-19 epidemiological studies · Epidemiology · Medicine · SARS-CoV-2 detection and testing

  • Behavioural nudges increase Covid-19 vaccinations

    Open Access•H Dai, Silvia Saccardo et al.•Nature•2021

  • The Multiphase Optimization Strategy (Most) and the Sequential Multiple Assignment Randomized Trial (SMART)

    Open Access•Linda M Collins, Susan A Murphy et al.•American Journal of Preventive…•2007

  • Inferring the effectiveness of government interventions against Covid-19

    Open Access•Jan Brauner, Sören Mindermann et al.•Science•2021

  • Estimating causal effects of treatments in randomized and nonrandomized studies.

    Donald B Rubin•Journal of Educational Psychology•1974

  • Adaptive Interventions and SMART Designs

    Open Access•Kelley M Kidwell, Luke W Hyde•American Journal of Evaluation•2015

  • Dynamic Treatment Regimes for Managing Chronic Health Conditions

    Bibhas Chakraborty•American Journal of Public Health•2011

Highly citedNo

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae