scispace - formally typeset
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
More filters
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.

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

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.