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Anders Hviid

Statens Serums Institut - Department of Epidemiology Research

SCHOLARLY PAPERS

3

DOWNLOADS

297

TOTAL CITATIONS

0

Scholarly Papers (3)

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1.

Identifying Heterogeneity in the Effect of Covid-19 on Long-Term Sick Leave Using Causal Machine Learning

Number of pages: 36 Posted: 16 May 2023
Kim Daniel Jakobsen, Elisabeth O'Regan, Ingrid Bech Svalgaard and Anders Hviid
Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Department of Epidemiology Research and Statens Serums Institut - Department of Epidemiology Research
Downloads 110 (640,165)

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Post COVID-19 condition, causal forest, machine learning, risk factors, multimorbidity

2.

Acute Symptoms of SARS-CoV-2 Infection by Variant, Vaccination Status, Sex and Age: A Questionnaire Study in Denmark

Number of pages: 25 Posted: 27 Jan 2023
Anna Irene Vedel Sørensen, Lampros Spiliopoulos, Peter Bager, Nete Munk Nielsen, Jørgen Vinsløv Hansen, Anders Koch, Inger Kristine Meder, Anders Hviid and Steen Ethelberg
Statens Serums Institut - Infectious Disease Epidemiology & Prevention, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Infectious Disease Epidemiology & Prevention, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut - Department of Epidemiology Research and Statens Serums Institut - Infectious Disease Epidemiology & Prevention
Downloads 108 (654,668)

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SARS-CoV-2, omicron, acute symptomatology, vaccination

3.

Adaptation of the WHO COVID-19 Clinical Progression Scale for Registry-Based Data: A Whole-Population Study in Sweden

Number of pages: 32 Posted: 23 Jan 2025
Hanna Jerndal, Sebastian Kalucza, Frida Jakobsson, Anders Hviid, Tyra Grove Krause, Clas Ahlm, Johan Normark, Osvaldo Fonseca, Marie Eriksson and Anne-Marie Fors Connolly
Umeå University, Umeå University - Department of Clinical Microbiology, Umeå University, Statens Serums Institut - Department of Epidemiology Research, Statens Serums Institut, Umeå University - Department of Clinical Microbiology, Umeå University - Department of Clinical Microbiology, Umeå University - Department of Clinical Microbiology, Umeå University - Department of Statistics and Umeå University - Department of Clinical Microbiology
Downloads 79 (823,616)

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Whole-population, Disease severity index, Standardisation, Infectious diseases, COVID-19, Mortality, Epidemiology, Risk factors