T
Toomas Timpka
Researcher at Linköping University
Publications - 336
Citations - 7725
Toomas Timpka is an academic researcher from Linköping University. The author has contributed to research in topics: Poison control & Population. The author has an hindex of 40, co-authored 316 publications receiving 6399 citations. Previous affiliations of Toomas Timpka include University of Skövde.
Papers
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Journal ArticleDOI
Residents' perspectives on safety support needs in different types of housing areas
TL;DR: The policy recommendation is that both the subjective and objective dimensions of safety should be identified and considered when developing local safety promotion interventions in community contexts.
Journal ArticleDOI
Injury Pain in Track and Field Athletes: Cross-Sectional Study of Mediating Factors
TL;DR: A negative association between perceived pain and self-evaluated health among competitive track and field athletes is found, and it is found that a portion of the association was mediated through mediating factors.
Journal ArticleDOI
The swedish athletics study: design of a protocol for large-scale epidemiological studies in individual sports
TL;DR: The resulting study protocol for injury surveillance is specifically targeted at individual sports and can be employed in surveillance preceding intervention programs for preventing injuries and suffering among both adult elite and youth athletes.
Proceedings Article
A Flexible Simulation Architecture for Pandemic Influenza Simulation.
Henrik Eriksson,Toomas Timpka,Joakim Ekberg,Armin Spreco,Örjan Dahlström,Magnus Strömgren,Einar Holm +6 more
TL;DR: The implication of this research for pandemic response is that aspects can add a novel layer of flexibility to simulation environments, which enables modelers to extend the simulator run-time component to new requirements that go beyond the original modeling framework.
Book ChapterDOI
Transparency and Documentation in Simulations of Infectious Disease Outbreaks: Towards Evidence-Based Public Health Decisions and Communications
Joakim Ekberg,Toomas Timpka,Magnus Morin,Johan Jenvald,James M. Nyce,Elin A. Gursky,Henrik Eriksson +6 more
TL;DR: A design for generation of simulation reports where the background settings used in the simulation models are automatically visualized and included in report generation in parallel to the simulation outcomes to prevent misunderstandings and less than optimal public health decisions.