ArticleScientific reports2021
Stay-at-home policy is a case of exception fallacy: an internet-based ecological study.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 16 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
16 citing papers in PubMed.
- The unseen toll: excess mortality during covid-19 lockdowns.Scientific reports · 2023Article
- Full Lockdowns Against the Pandemic: Time to Rethink the Paradigm.International journal of preventive medicine · 2023Article
- Biased, wrong and counterfeited evidences published during the COVID-19 pandemic, a systematic review of retracted COVID-19 papers.Quality & quantity · 2022Article
- What scientists have learnt from COVID lockdowns.Nature · 2022Article
- Has the Spring 2020 lockdown modified the relationship between air pollution and COVID-19 mortality in Europe?Allergy · 2022Article
- Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models.International journal of environmental research and public health · 2022Article
- SARS-CoV-2 Variants of Concern Increased Transmission and Decrease Vaccine Efficacy in the COVID-19 Pandemic in Palembang Indonesia.Acta bio-medica : Atenei Parmensis · 2022Article
- Airborne magnetic nanoparticles may contribute to COVID-19 outbreak: Relationships in Greece and Iran.Environmental research · 2022Article
- COVID-19 Prevention Policies Reduce Pediatric Hospital Mortality Due to Community-acquired Pneumonia.Archivos de bronconeumologia · 2022Article
- Article
- Impact of mobility reduction on COVID-19 mortality: absence of evidence might be due to methodological issues.Scientific reports · 2021Article
- Pairwise difference regressions are just weighted averages.Scientific reports · 2021Article
- Pattern and determinants of COVID-19 infection and mortality across countries: An ecological study.Heliyon · 2021Article
- Article
- The SARS-CoV-2 Pandemic in High Income Countries Such as Canada: A Better Way Forward Without Lockdowns.Frontiers in public health · 2021Review
- Guidelines: Discharge Instructions for Covid-19 Patients.Journal of primary care & community healthArticle
Corrections and comments
- Expression of concern · 2021-03-11Concerns/Issues about Data · Concerns/Issues about Results and/or Conclusions · Updated to Retraction ·
- Retraction · 2021-12-14Error in Analyses · Investigation by Third Party · Objections by Third Party · Unreliable Results and/or Conclusions · Upgrade/Update of Prior Notice(s) ·
- Commented on by
- Retracted
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A recent mathematical model has suggested that staying at home did not play a dominant role in reducing COVID-19 transmission. The second wave of cases in Europe, in regions that were considered as COVID-19 controlled, may raise some concerns. Our objective was to assess the association between staying at home (%) and the reduction/increase in the number of deaths due to COVID-19 in several regions in the world. In this ecological study, data from www.google.com/covid19/mobility/ , ourworldindata.org and covid.saude.gov.br were combined. Countries with > 100 deaths and with a Healthcare Access and Quality Index of ≥ 67 were included. Data were preprocessed and analyzed using the difference between number of deaths/million between 2 regions and the difference between the percentage of staying at home. The analysis was performed using linear regression with special attention to residual analysis. After preprocessing the data, 87 regions around the world were included, yielding 3741 pairwise comparisons for linear regression analysis. Only 63 (1.6%) comparisons were significant. With our results, we were not able to explain if COVID-19 mortality is reduced by staying at home in ~ 98% of the comparisons after epidemiological weeks 9 to 34.
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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.