ArticleHeliyon2024
COVID-19 pandemic waves: Identification and interpretation of global data.
Article in Heliyon, 2024. 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed.
- Understanding the Second Year of the COVID-19 Pandemic From a Nursing Perspective: A Multi-Country Descriptive Study.Journal of advanced nursing · 2026Article
- Inflammatory Biomarkers and Clinical Outcomes in Hospitalized Hemodialysis Patients with COVID-19: A Retrospective Observational Study.Diagnostics (Basel, Switzerland) · 2026Article
- Feasibility of molecular-based testing strategies for SARS-CoV-2-screening in workplaces: a systematic review and reporting checklist.BMJ public health · 2026Article
- Impact of opinion dynamics on recurrent pandemic waves: balancing risk aversion and peer pressure.Interface focus · 2025Article
- CD55 upregulation in T cells of COVID-19 patients suppresses type-I interferon responses.Communications biology · 2025Article
- Increasing risk of postlung transplant hospitalizations for infection: An analysis of recent trends.JHLT open · 2025Article
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- Article
- Topological analysis of COVID-19 wave patterns and policy responses in Europe.Frontiers in public health · 2025Article
- A comparative analysis of the binary and multiclass classified chest X-ray images of pneumonia and COVID-19 with ML and DL models.Open medicine (Warsaw, Poland) · 2025Article
- Efficacy of late-onset antiviral treatment in immunocompromised hosts with persistent SARS-CoV-2 infection.Journal of virology · 2024Article
- Compartmental modeling for pandemic data analysis: The gap between statistics and models.Heliyon · 2024Article
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 mention of the COVID-19 waves is as prevalent as the pandemic itself. Identifying the beginning and end of the wave is critical to evaluating the impact of various COVID-19 variants and the different pharmaceutical and non-pharmaceutical (including economic, health and social, etc.) interventions. We demonstrate a scientifically robust method to identify COVID-19 waves and the breaking points at which they begin and end from January 2020 to June 2021. Employing the Break Least Square method, we determine the significance of COVID-19 waves for global-, regional-, and country-level data. The results show that the method works efficiently in detecting different breaking points. Identifying these breaking points is critical for evaluating the impact of the economic, health, social and other welfare interventions implemented during the pandemic crisis. Employing our method with high frequency data effectively determines the start and end points of the COVID-19 wave(s). Identifying waves at the country level is more relevant than at the global or regional levels. Our research results evidenced that the COVID-19 wave takes about 48 days on average to subside once it begins, irrespective of the circumstances.
Identifiers
What OpenQuestion holds
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.