ArticleAnnual reviews in control2021
Universal features of epidemic models under social distancing guidelines.
Article in Annual reviews in control, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Data-driven strategies for model-informed decision-making during the COVID-19 pandemic: a systematic review.BMJ open · 2026Pooled it
- Minimizing the epidemic final size while containing the infected peak prevalence in SIR systems.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2022Article
- Analytical estimation of maximum fraction of infected individuals with one-shot non-pharmaceutical intervention in a hybrid epidemic model.BMC infectious diseases · 2022Article
- Closed-form expressions and nonparametric estimation of COVID-19 infection rate.Automatica : the journal of IFAC, the International Federation of Automatic Control · 2022Article
- Feedback control of social distancing for COVID-19 via elementary formulae.IFAC-PapersOnLine · 2022Article
- Exploring COVID-19 Daily Records of Diagnosed Cases and Fatalities Based on Simple Nonparametric Methods.Infectious disease reports · 2021Article
- COVID-19 epidemic control using short-term lockdowns for collective gain.Annual reviews in control · 2021Article
- Model predictive control for optimal social distancing in a type SIR-switched model.IFAC-PapersOnLine · 2021Article
- Hysteresis-based supervisory control with application to non-pharmaceutical containment of COVID-19.Annual reviews in control · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social distancing as a form of nonpharmaceutical intervention has been enacted in many countries as a form of mitigating the spread of COVID-19. There has been a large interest in mathematical modeling to aid in the prediction of both the total infected population and virus-related deaths, as well as to aid government agencies in decision making. As the virus continues to spread, there are both economic and sociological incentives to minimize time spent with strict distancing mandates enforced, and/or to adopt periodically relaxed distancing protocols, which allow for scheduled economic activity. The main objective of this study is to reduce the disease burden in a population, here measured as the peak of the infected population, while simultaneously minimizing the length of time the population is socially distanced, utilizing both a single period of social distancing as well as periodic relaxation. We derive a linear relationship among the optimal start time and duration of a single interval of social distancing from an approximation of the classic epidemic
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.