Observational studyBMC public health2020
Evaluating the impact of stay-at-home orders on the time to reach the peak burden of Covid-19 cases and deaths: does timing matter?
Observational study in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Epidemics, Lockdown Measures and Vulnerable Populations: A Mixed-Methods Systematic Review of the Evidence of Impacts on Mother and Child Health in Low-and Lower-Middle-Income Countries.International journal of health policy and management · 2022Pooled it
- The methodologies to assess the effectiveness of non-pharmaceutical interventions during COVID-19: a systematic review.European journal of epidemiology · 2022Pooled it
- Risk factors for all-cause mortality during the COVID-19 pandemic compared with the pre-pandemic period in an adult population of Arkhangelsk, Russia.Scientific reports · 2025Article
- Neurological Sequelae of Post-COVID-19 Fatigue: A Narrative Review of Dipeptidyl Peptidase IV-Mediated Cerebrovascular Complications.Current issues in molecular biology · 2024Review
- COVID-19 Epidemiology during Delta Variant Dominance Period in 45 High-Income Countries, 2020-2021.Emerging infectious diseases · 2023Article
- Predicting the issuance of COVID-19 stay-at-home orders in Africa: Using machine learning to develop insight for health policy research.International journal of disaster risk reduction : IJDRR · 2023Article
- Innovative technology-enhanced social work service during COVID-19: How 'Garden on the Balcony' promoted resilience, community bonds and a green lifestyle.Qualitative social work : QSW : research and practice · 2023Article
- Timing, extent and outcomes of public health measures in the first wave of the COVID-19 pandemic in Israel and a comparative analysis by socioeconomic indices.Israel journal of health policy research · 2023Article
- How do the stay-at-home (SAH) orders affect air quality? Evidence from the northeastern USA.Empirical economics · 2023Article
- Mortality by cause of death during year 1 of the COVID-19 pandemic in a cohort of older adults from Baltimore Maryland who have injected drugs.The International journal on drug policy · 2022Article
- Italian national policies in response to the COVID-19 pandemic: The case of the Friuli-Venezia-Giulia and Umbria Regions.Health policy (Amsterdam, Netherlands) · 2022Article
- Association of anti-contagion policies with the spread of COVID-19 in United States.Journal of public health research · 2022Article
- Impact of the first national COVID-19 lockdown on referral of women experiencing domestic violence and abuse in England and Wales.BMC public health · 2022Article
- COVID-19 concerns in cyberspace predict human reduced dispersal in the real world: Meta-regression analysis of time series relationships across American states and 115 countries/territories.Computers in human behavior · 2022Article
- Pandemic-influenced human mobility on tribal lands in California: Data sparsity and analytical precision.PloS one · 2022Article
- The Effect of COVID-19-related Lockdowns on Diet and Physical Activity in Older Adults: A Systematic Review.Aging and disease · 2021Review
- The Interplay between Housing Environmental Attributes and Design Exposures and Psychoneuroimmunology Profile-An Exploratory Review and Analysis Paper in the Cancer Survivors' Mental Health Morbidity Context.International journal of environmental research and public health · 2021Review
- Individual and COVID-19-Specific Indicators of Compliance with Mask Use and Social Distancing: The Importance of Norms, Perceived Effectiveness, and State Response.International journal of environmental research and public health · 2021Article
- Identifying SARS-CoV-2 antiviral compounds by screening for small molecule inhibitors of nsp14/nsp10 exoribonuclease.The Biochemical journal · 2021Article
- Impact of COVID-19 Pandemic on Total Mortality in Poland.International journal of environmental research and public health · 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe economic, psychological, and social impact of pandemics and social distancing measures prompt the urgent need to determine the efficacy of non-pharmaceutical interventions (NPIs), especially those considered most stringent such as stay-at-home and self-isolation mandates. This study focuses specifically on the impact of stay-at-home orders, both nationally and internationally, on the control of COVID-19.
methodsWe conducted an observational analysis from April to May 2020 and included both countries and US states with known stay-at-home orders. Our primary exposure was the time between the date of the first reported case of COVID-19 to an implemented stay-at-home mandate for each region. Our primary outcomes were the time from the first reported case to the highest number of daily cases and daily deaths. We conducted linear regression analyses, controlling for the case rate of the outbreak in each respective region.
resultsFor countries and US states, a longer period of time between the first reported case and stay-at-home mandates was associated with a longer time to reach both the peak daily case and death counts. The largest effect was among regions classified as the latest 10% to implement a mandate, which in the US, predicted an extra 35.3 days (95% CI: 18.2, 52.5) to the peak number of cases, and 38.3 days (95% CI: 23.6, 53.0) to the peak number of deaths.
conclusionsOur study supports the association between the timing of stay-at-home orders and the time to peak case and death counts for both countries and US states. Regions in which mandates were implemented late experienced a prolonged duration to reaching both peak daily case and death counts.
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