ArticleNature human behaviour2023
Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland.
Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 38 citations in OpenAlex.
- Causal relationship between COVID-19, vaccination, and 20 digestive diseases: a comprehensive two-sample Mendelian randomization study.Virology journal · 2025Pooled it
- A systematic review and meta-analysis of the global prevalence and determinants of COVID-19 vaccine acceptance and uptake in people living with HIV.Nature human behaviour · 2024Pooled it
- COVID-19 risk, course and outcome in people with mental disorders: a systematic review and meta-analyses.Epidemiology and psychiatric sciences · 2023Pooled it
- Inequality in life expectancy losses by education in Finland during COVID-19 pandemic.International journal for equity in health · 2026Article
- Dual decision-making routes for COVID-19 and influenza vaccines uptake in parents: A mixed-methods study.British journal of health psychology · 2025Article
- Ten-Year Trends in Otolaryngological Surgery Volumes and the Impact of Infection Prevention During the COVID-19 Pandemic-A National Study.Journal of clinical medicine · 2024Article
- Factors Predicting COVID-19 Vaccine Effectiveness and Longevity of Humoral Immune Responses.Vaccines · 2024Review
- Socio-demographic and genetic risk factors for drug adherence and persistence across 5 common medication classes.Nature communications · 2024Article
- Interaction between economic status and healthy lifestyle in long COVID among Chinese older population: a cross-sectional study.BMJ open · 2024Article
- Mobile vaccination units to increase COVID-19 vaccination uptake in areas with lower coverage: a within-neighbourhood analysis using national registration data, the Netherlands, September-December 2021.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2024Article
- Drug repositioning identifies salvinorin A and deacetylgedunin (DCG) enriched plant extracts as novel inhibitors of Mpro, RBD-ACE2 and TMPRRS2 proteins.RSC advances · 2024Article
- Barriers to vaccine acceptance in the adult population of mainland Finland, 2021.Epidemiology and infection · 2024Article
- A protocol for modeling the factors influencing the deployment of the COVID-19 vaccine across African countries.PloS one · 2024Article
- COVID-19 vaccination and the risk of autoimmune diseases: a Mendelian randomization study.Frontiers in public health · 2024Article
- New insights into the increased risk of migraines from COVID-19 infection and vaccination: a Mendelian randomization study.Frontiers in neurology · 2024Article
- An ensemble-based machine learning solution for imbalanced multiclass dataset during lithology log generation.Scientific reports · 2023Article
- Data Resource Profile: Nationwide registry data for high-throughput epidemiology and machine learning (FinRegistry).International journal of epidemiology · 2023Article
- Article
Corrections and comments
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Authors and funding
18 authors at 4 institutions in 4 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding factors associated with COVID-19 vaccination can highlight issues in public health systems. Using machine learning, we considered the effects of 2,890 health, socio-economic and demographic factors in the entire Finnish population aged 30-80 and genome-wide information from 273,765 individuals. The strongest predictors of vaccination status were labour income and medication purchase history. Mental health conditions and having unvaccinated first-degree relatives were associated with reduced vaccination. A prediction model combining all predictors achieved good discrimination (area under the receiver operating characteristic curve, 0.801; 95% confidence interval, 0.799-0.803). The 1% of individuals with the highest predicted risk of not vaccinating had an observed vaccination rate of 18.8%, compared with 90.3% in the study population. We identified eight genetic loci associated with vaccination uptake and derived a polygenic score, which was a weak predictor in an independent subset. Our results suggest that individuals at higher risk of suffering the worst consequences of COVID-19 are also less likely to vaccinate.
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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.