Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort.
Katherine Mc IntyrePauline LantingPatrick DeelenHenry H WiersmaJudith E VonkAnil P S OriSoesma A JankipersadsingC A Robert WarmerdamIrene V van BloklandFloranne BoulogneMarjolein X L DijkemaJohanna C HerkertAnnique A J ClaringbouldOlivier B BakkerEsteban A Lopera MayaUte BültmannAlexandra ZhernakovaSijmen A ReijneveldElianne A ZijlstraMorris A SwertzSandra BrouwerRaun van OoijenViola AngeliniLouise H DekkerAnna SijtsmaSicco A ScherjonCisca WijmengaJackie A M DekensJochen O MierauH Marike BoezenLude H FrankePublished in: BMJ open (2021)
Questionnaires were sent on a (bi)weekly basis starting in March 2020 and on a monthly basis starting July 2020, with plans for new questionnaire rounds to continue through 2020 and early 2021. Questionnaire frequency can be increased again for subsequent waves of infections. Cohort data will be used to address how the COVID-19 pandemic developed in the northern provinces of the Netherlands, which environmental and genetic risk factors predict disease susceptibility and severity and the psychological and societal impacts of the crisis. Cohort data are linked to the extensive health, lifestyle and sociodemographic data held for these participants by Lifelines, a 30-year project that started in 2006, and to data about participants held in national databases.
Keyphrases
- electronic health record
- public health
- big data
- risk factors
- healthcare
- cardiovascular disease
- coronavirus disease
- sars cov
- quality improvement
- psychometric properties
- gene expression
- physical activity
- human health
- data analysis
- weight loss
- dna methylation
- artificial intelligence
- risk assessment
- patient reported
- depressive symptoms
- climate change
- social media
- health promotion