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(F49) Nowcasting of Pandemic Outbreaks: Integration of Syndrome Detection with Real-Time Assessment of Disease Control Strategies

Published online by Cambridge University Press:  17 February 2017

Toomas Timpka
Affiliation:
Department of Health and Medical Sciences, Linköping, Sweden
Anders Grimvall
Affiliation:
Department of Computer Science, Linköping, Sweden
Henrik Eriksson
Affiliation:
Department of Computer Science, Linköping, Sweden
Olle Eriksson
Affiliation:
Department of Computer Science, Linköping, Sweden
Joakim Ekberg
Affiliation:
Department of Health and Medical Sciences, Linköping, Sweden
Einar Holm
Affiliation:
Department of Social and Economic Geography, Umeä, Sweden
Magnus Strömgren
Affiliation:
Department of Social and Economic Geography, Umeä, Sweden
Elin Gursky
Affiliation:
ANSER/Analytic Services Inc., Arlington, Virginia, USA
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Abstract

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Type
Poster Presentations—Pandemics
Copyright
Copyright © World Association for Disaster and Emergency Medicine 2009

References

1. Timpka, T, Eriksson, H, Gursky, E et al. ,: Population-based simulations of influenza pandemics: Validity and significance for public health policy. Bull WHO 2009; in press.Google Scholar