ArticleEpidemiology and infection2022
A machine learning algorithm to analyse the effects of vaccination on COVID-19 mortality.
Article in Epidemiology and infection, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 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.
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Who cites it
31 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Pooled it
- Predicting Efficacies of Fractional Doses of Vaccines by Using Neutralizing Antibody Levels: Systematic Review and Meta-Analysis.JMIR public health and surveillance · 2024Pooled it
- Predicting the severity of COVID-19 using machine learning methods.BMC medical informatics and decision making · 2026Article
- A Scoping Review of Machine Learning Applications Across Epidemiological Stages of Zoonotic Disease.Transboundary and emerging diseases · 2026Article
- A machine learning approach to identify at-risk populations for yellow fever vaccination.Journal of clinical and translational science · 2026Article
- Social Listening in Infodemic Management: Insights from Preparatory Work on Ethical Guidance.Asian bioethics review · 2025Article
- Politics and confidence toward the COVID-19 vaccination: A Brazilian cross-sectional study.Human vaccines & immunotherapeutics · 2024Article
- Impacts of travel duration on urban-rural resident free vaccination behavior: Chinese COVID-19 vaccine booster dose evidence.Human vaccines & immunotherapeutics · 2024Article
- Self-Reported COVID-19 Vaccine and Booster Acceptance and Hesitancy Among Autistic Adults in Pennsylvania: Cross-Sectional Analysis of Survey Data.JMIR public health and surveillance · 2024Article
- Analyzing Google COVID-19 Vaccine Intent Search Trends and Vaccine Readiness in the United States: Panel Data Study.Online journal of public health informatics · 2024Article
- Quantifying Disparities in COVID-19 Vaccination Rates by Rural and Urban Areas: Cross-Sectional Observational Study.JMIR public health and surveillance · 2024Observational
- Adverse Events of COVID-19 Vaccines in the United States: Temporal and Spatial Analysis.JMIR public health and surveillance · 2024Article
- Updated Surveillance Metrics and History of the COVID-19 Pandemic (2020-2023) in Latin America and the Caribbean: Longitudinal Trend Analysis.JMIR public health and surveillance · 2024Article
- Government-Nongovernmental Organization (NGO) Collaboration in Macao's COVID-19 Vaccine Promotion: Social Media Case Study.JMIR infodemiology · 2024Article
- Vaccination and its impact on healthcare utilization in two groups of vaccinated and unvaccinated patients with COVID-19: A cross-sectional study in Iran between 2021 and 2022.Health science reports · 2024Article
- Vaccine hesitancy among physicians: a qualitative study with general practitioners and paediatricians in Austria and Germany.BMJ open · 2024Article
- PdPANA: phagemid display as peptide array for neutralizing antibodies, an engineeredFrontiers in systems biology · 2024Article
- Covid-19 demography in France and South Africa: A comparative study of morbidity and mortality in 2020-2022.PloS one · 2024Article
- Negative effects of high public debt on health systems facing pandemic crisis: Lessons from COVID-19 in Europe to prepare for future emergencies.AIMS public health · 2024Article
- How does COVID-19 vaccination affect long-COVID symptoms?PloS one · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The coronavirus disease 2019 (COVID-19), with new variants, continues to be a constant pandemic threat that is generating socio-economic and health issues in manifold countries. The principal goal of this study is to develop a machine learning experiment to assess the effects of vaccination on the fatality rate of the COVID-19 pandemic. Data from 192 countries are analysed to explain the phenomena under study. This new algorithm selected two targets: the number of deaths and the fatality rate. Results suggest that, based on the respective vaccination plan, the turnout in the participation in the vaccination campaign, and the doses administered, countries under study suddenly have a reduction in the fatality rate of COVID-19 precisely at the point where the cut effect is generated in the neural network. This result is significant for the international scientific community. It would demonstrate the effective impact of the vaccination campaign on the fatality rate of COVID-19, whatever the country considered. In fact, once the vaccination has started (for vaccines that require a booster, we refer to at least the first dose), the antibody response of people seems to prevent the probability of death related to COVID-19. In short, at a certain point, the fatality rate collapses with increasing doses administered. All these results here can help decisions of policymakers to prepare optimal strategies, based on effective vaccination plans, to lessen the negative effects of the COVID-19 pandemic crisis in socioeconomic and health systems.
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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.