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Experiments using a microsimulation platform show that vaccination against pandemic H1N1 influenza is highly cost-effective. Swedish society may reduce the costs of pandemic by about SEK 2.5 billion (approximately EUR 250 million) if at least 60 per cent of the population is vaccinated, even if costs related to death cases are excluded. The cost reduction(More)
BACKGROUND In computer supported outbreak detection, a statistical method is applied to a collection of cases to detect any excess cases for a particular disease. Whether a detected aberration is a true outbreak is decided by a human expert. We present a technical framework designed and implemented at the Swedish Institute for Infectious Disease Control for(More)
—Research is often inspired by visions of the future. These visions can take on various narrative forms, and can fall anywhere along the spectrum from utopian to dystopian. Even though we recognize the importance of such visions to help us shape research questions and inspire rich design spaces to be explored, the opportunity to discuss them is rarely given(More)
Opportunities for innovation in view of three complex problems faced by the UAE health care providers are described. The information dissemination problem faced could be approached by creating new channels for providing the population with public health information. These channels are precisely the ones typically used in so-called syndromic surveillance,(More)
A critical investigation into computational models developed for studying the spread of communicable disease is presented. The case in point is a spatially explicit micro-meso-macro model for the entire Swedish population built on registry data, thus far used for smallpox and for influenza-like illnesses. The lessons learned from a software development(More)
—In research and development of information and communication technologies for sustainability, there is a strong belief that human behaviour can be monitored at the individual level to generate different signals, and that these signals can be used to influence individuals to behave differently. We analyse Seventh Framework Programme policy documents(More)
Recent advances in information and communication technologies have made the development and operation of complex disease surveillance systems technically feasible, and many systems have been proposed to interpret diverse data sources for health-related signals. Implementing these systems for daily use and efficiently interpreting their output, however,(More)
This article presents a unique, large-scale and spatially explicit microsimulation model that uses official anonymized register data collected from all individuals living in Sweden. Individuals are connected to households and workplaces and represent crucial links in the Swedish social contact network. This enables significant policy experiments in the(More)