SUPR
Swedish tobacco cohort (SWETOC)
Dnr:

sens2022573

Type:

SNIC SENS

Principal Investigator:

Johan Sundström

Affiliation:

Uppsala universitet

Start Date:

2022-08-29

End Date:

2024-09-01

Primary Classification:

30302: Public Health, Global Health, Social Medicine and Epidemiology

Webpage:

Allocation

  • Castor /proj at UPPMAX: 1000 GiB
  • Castor /proj/nobackup at UPPMAX: 1000 GiB
  • Cygnus /proj/nobackup at UPPMAX: 1000 GiB
  • Cygnus /proj at UPPMAX: 1000 GiB
  • Bianca at UPPMAX: 2 x 1000 core-h/month

Abstract

Information about smoking status and other tobacco use is routinely collected at dental visits in Sweden. This rich source of information will enable multiple research projects related to tobacco use. In the first phase of this project, the tobacco data collected from multiple regions in Sweden will be harmonized, including processing of structured data and free-text descriptions of smoking habits. Regular data management in R and potentially machine learning for natural language processing will be performed.