Seika Lee
Research Assistant at Department of Medical Sciences; Respiratory-, allergy- and sleep research
- E-mail:
- seika.lee@uu.se
- Visiting address:
- Akademiska sjukhuset
ingång 40, 2 tr - Postal address:
- Akademiska sjukhuset ing 40
751 85 UPPSALA
Publications
Recent publications
-
Part of eClinicalMedicine, 2026
- DOI for Long COVID and risk of incident cardiovascular disease: a prospective cohort study using the Multimorbidity Integrated Registry Across Care Levels in Stockholm (MIRACLE-S) cohort
- Download full text (pdf) of Long COVID and risk of incident cardiovascular disease: a prospective cohort study using the Multimorbidity Integrated Registry Across Care Levels in Stockholm (MIRACLE-S) cohort
-
Part of BMC Infectious Diseases, 2026
- DOI for Association of pre-pandemic respiratory system diseases with long COVID: a population-based case-control study
- Download full text (pdf) of Association of pre-pandemic respiratory system diseases with long COVID: a population-based case-control study
-
Part of BMC Medicine, 2025
- DOI for Prevalence of depression, anxiety, fatigue, and headache before and after long COVID onset: a case-control study in the total population of Region Stockholm
- Download full text (pdf) of Prevalence of depression, anxiety, fatigue, and headache before and after long COVID onset: a case-control study in the total population of Region Stockholm
-
Part of Scientific Reports, 2025
- DOI for Impact of the COVID-19 pandemic on trends in health conditions associated with alcohol among patients with hypertension in Sweden
- Download full text (pdf) of Impact of the COVID-19 pandemic on trends in health conditions associated with alcohol among patients with hypertension in Sweden
-
Part of BMC Medicine, 2025
- DOI for Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care
- Download full text (pdf) of Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care
All publications
Articles in journal
-
Part of eClinicalMedicine, 2026
- DOI for Long COVID and risk of incident cardiovascular disease: a prospective cohort study using the Multimorbidity Integrated Registry Across Care Levels in Stockholm (MIRACLE-S) cohort
- Download full text (pdf) of Long COVID and risk of incident cardiovascular disease: a prospective cohort study using the Multimorbidity Integrated Registry Across Care Levels in Stockholm (MIRACLE-S) cohort
-
Part of BMC Infectious Diseases, 2026
- DOI for Association of pre-pandemic respiratory system diseases with long COVID: a population-based case-control study
- Download full text (pdf) of Association of pre-pandemic respiratory system diseases with long COVID: a population-based case-control study
-
Part of BMC Medicine, 2025
- DOI for Prevalence of depression, anxiety, fatigue, and headache before and after long COVID onset: a case-control study in the total population of Region Stockholm
- Download full text (pdf) of Prevalence of depression, anxiety, fatigue, and headache before and after long COVID onset: a case-control study in the total population of Region Stockholm
-
Part of Scientific Reports, 2025
- DOI for Impact of the COVID-19 pandemic on trends in health conditions associated with alcohol among patients with hypertension in Sweden
- Download full text (pdf) of Impact of the COVID-19 pandemic on trends in health conditions associated with alcohol among patients with hypertension in Sweden
-
Part of BMC Medicine, 2025
- DOI for Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care
- Download full text (pdf) of Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care