Hanna Sõnajalg

63. MAPPING LONGITUDINAL REAL-WORLD TREATMENT AND HOSPITALIZATION DYNAMICS ACROSS PRIMARY PSYCHOTIC DISORDERS AND BIPOLAR DISORDER

Liina Haring, Anastassia Kolde, Mihkel Juri Pius, Hanna Sõnajalg et autres

Longitudinal real-world treatment and hospitalisation dynamics in relation to genetic liability across primary psychotic disorders and bipolar disorder

Liina Haring, Anastassia Kolde, Mihkel Juri Pius, Hanna Sõnajalg et autres

ABSTRACT Primary psychotic disorders (PPD) and bipolar disorder (BD) are characterised by recurrent episodes, long-term pharmacological treatment, and a strong polygenic component. Although clinical trials remain the gold standard for estimating treatment efficacy, real-world data enable longitudinal assessment of clinical outcomes in …

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Bidirectional associations between chronic diseases and Long COVID: a population-based cohort and interrupted time-series analysis

Hanna Sõnajalg, Martti Vanker, Kristi Läll, Märt Möls et autres

Background Long COVID has been associated with an increased incidence of chronic diseases, including type 2 diabetes (T2D), which has been suggested to have a bidirectional relationship with COVID-19. We examined these associations in a population-based cohort. Methods Chronic non-communicable diseases (NCDs) …

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LEVERAGING REAL-WORLD DATA FROM HEALTH REGISTRIES TO MEASURE ANTIDEPRESSANT TREATMENT OUTCOMES FOR LARGE-SCALE GENOME-WIDE ASSOCIATION ANALYSES

Elise Koch, Alexey A. Shadrin, Kevin Sean O’Connell, Maris Alver et autres

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Social contact patterns during the COVID-19 pandemic in 21 European countries – evidence from a two-year study

Kerry LM Wong, Amy Gimma, Pietro Coletti, Daniela Paolotti et autres

BACKGROUND: Most countries have enacted some restrictions to reduce social contacts to slow down disease transmission during the COVID-19 pandemic. For nearly two years, individuals likely also adopted new behaviours to avoid pathogen exposure based on personal circumstances. We aimed to understand …

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Nationwide health, socio-economic and genetic predictors of COVID-19 vaccination status in Finland

Tuomo Hartonen, Bradley S. Jermy, Hanna Sõnajalg, Pekka Vartiainen et autres

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 …

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Health, socioeconomic and genetic predictors of COVID-19 vaccination uptake: a nationwide machine-learning study

Tuomo Hartonen, Bradley S. Jermy, Hanna Sõnajalg, Pekka Vartiainen et autres

Abstract Reduced participation in COVID-19 vaccination programs is a key societal concern. Understanding factors associated with vaccination uptake can help in planning effective immunization programs. We considered 2,890 health, socioeconomic, familial, and demographic factors measured on the entire Finnish population aged 30 …

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Pregnancy during COVID-19: social contact patterns and vaccine coverage of pregnant women from CoMix in 19 European countries

Kerry LM Wong, Amy Gimma, Enny S. Paixão, Daniela Paolotti et autres

BACKGROUND: Evidence and advice for pregnant women evolved during the COVID-19 pandemic. We studied social contact behaviour and vaccine uptake in pregnant women between March 2020 and September 2021 in 19 European countries. METHODS: In each country, repeated online survey data were …

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