Background: The severity of SARS-CoV-2 infection varies from asymptomatic state to severe respiratory failure and the clinical course is difficult to predict. The aim of the study was to develop a prognostic model to predict the severity of COVID-19 in unvaccinated adults at the time of diagnosis.
Methods: All SARS-CoV-2-positive adults in Iceland were prospectively enrolled into a telehealth service at diagnosis.
Objective: To characterise the symptoms of coronavirus disease 2019 (covid-19).
Design: Population based cohort study.
Setting: Iceland.
This article explores the gendered realities of work-life balance in Iceland during the COVID-19 pandemic, in particular how these societal changes reflect and affect the gendered division of unpaid labor, such as childcare and household chores. The study draws on open-ended real-time diary entries, collected for 2 weeks during the peak of the pandemic in Iceland. The entries represent the voices of 37 mothers in heteronormative relationships.
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