By Patty Kostkova
This publication constitutes the completely refereed post-conference court cases of the second one foreign ICST convention on digital Healthcare for the twenty first century, eHealth 2009, held in Istanbul, Turkey, in September 2009. The 14 complete papers provided and 10 technical displays have been rigorously chosen via over eighty submissions. The papers specialize in themes similar to telehealth and cellular healthiness suggestions, outbreak administration, net 2.0 and public healthiness communications, EPR - belief, defense and choice aid, ICT aid for sufferers and healthcare corporations, evaluate of ICT in healthcare, healthcare wisdom administration and ontologies, internet 2.0, multimedia and personalisation, eHealth automation and choice aid in addition to eu centre for illness preventation and regulate.
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Additional resources for Electronic Healthcare - Second International ICST Conference, eHealth 2009, Istanbul, Turkey, September 23-15, 2009 Revised Selected Papers
Emerg. Infect. Dis. 13(9), 1348–1353 (2007) 12. : A preliminary estimation of the reproduction ratio for new influenza A (H1N1) from the outbreak in Mexico. Euro. Surveill 14(19) (MarchApril 2009) 13. : Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings. Science (2009) 14. : Capturing human behavior. Nature 446, 733 (2007) 15. : Population-based simulations of influenza pandemics: validity and significance for public health policy. Bull. World Health Organ. eu Abstract. This paper presents the process of design involved in prototyping a Personal Health Record (PHR), a patient-centered information and communication hub.
For instance, during the presently (July 2009) ongoing ‘swine flu’, reports on reproduction ratio (average number of secondary cases per primary case) and generation intervals (the time between primary and secondary case infection) [12,13] can easily be compared to previously run simulations when new data emerge. Similarly, the behavioural assumptions made in pandemic simulations tend to overlook the variety of possible behavioural responses to an epidemic and thereby be flawed [14,15]. The result is that these simulations rest on a more or less simplistic representation of human and social behavioural response.
The simulation specialist provides (a) community model settings, the health care manager provides (b) non-modifiable scenario settings, the chief epidemiologist provides (c) nonmodifiable epidemiological settings, and the policy-maker specifies (d) the intervention. Figure 2 shows the report presenting the analysis results. 32 J. Ekberg et al. Fig. 1. Overview of the ‘transparent’ predictive modelling process Fig. 2. Example of ‘swine flu’ analysis report with explicit simulator settings Transparency and Documentation in Simulations of Infectious Disease Outbreaks 33 4 Discussion During an ongoing crisis, such as the ‘swine flu’ outbreak in 2009, health-care policymakers at a local level need to deal with complex problems.