ArticleEuropean journal of operational research2023
Safe distancing in the time of COVID-19.
Article in European journal of operational research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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
12 citing papers in PubMed.
- Potential physical distance in the open urban grey space of city counties in Poland and COVID-19 cases and deaths throughout the pandemic.Archives of public health = Archives belges de sante publique · 2025Article
- A simulated annealing with graph-based search for the social-distancing problem in enclosed areas during pandemics.PloS one · 2025Article
- Optimal timing of non-pharmaceutical interventions during an epidemic.European journal of operational research · 2023Article
- Dynamic planning of a two-dose vaccination campaign with uncertain supplies.European journal of operational research · 2023Article
- COVID-19 safe campus evaluation for universities by a hybrid interval type-2 fuzzy decision-making model.Environmental science and pollution research international · 2023Article
- Introduction to the special issue on the role of operational research in future epidemics/ pandemics.European journal of operational research · 2023Article
- Article
- Physical distancing as an integral component of pandemic response.Letters in spatial and resource sciences · 2023Article
- On the optimal layout of a dining room in the era of COVID-19 using mathematical optimization.International transactions in operational research : a journal of The International Federation of Operational Research Societies · 2022Article
- Data analytics during pandemics: a transportation and location planning perspective.Annals of operations research · 2022Article
- A "Ballpark" Assessment of Social Distancing Efficiency in the Early Stages of the COVID-19 Pandemic.International journal of environmental research and public health · 2022Article
- Unveiling the effects of consumers' psychological distance on their reactance and related behavioral outcomes: Do lockdown restrictions matter?Frontiers in psychology · 2022Article
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
The spread of viruses such as SARS-CoV-2 brought new challenges to our society, including a stronger focus on safety across all businesses. Many countries have imposed a minimum social distance among people in order to ensure their safety. This brings new challenges to many customer-related businesses, such as restaurants, offices, theaters, etc., on how to locate their facilities (tables, seats etc.) under distancing constraints. We propose a parallel between this problem and that of locating wind turbines in an offshore area. The discovery of this parallel allows us to apply Mathematical Optimization algorithms originally designed for wind farms, to produce optimized facility layouts that minimize the overall risk of infection among customers. In this way we can investigate the structure of the safest layouts, with some surprising outcomes. A lesson learned is that, in the safest layouts, the facilities are not equally distanced (as it is typically believed) but tend to concentrate on the border of the available area-a policy that significantly reduces the overall risk of contagion.
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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.