ArticlePloS one2011
Requirements and design of the PROSPER protocol for implementation of information infrastructures supporting pandemic response: a Nominal Group study.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
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- Public health in times of crisis: An overlooked variable in city management theories?Sustainable cities and society · 2021Article
- Transforming public health using value lens and extended partner networks.Learning health systems · 2021Article
- Sports Health During the SARS-Cov-2 Pandemic.Sports medicine (Auckland, N.Z.) · 2020Article
- Prepartum dietary energy intake alters adipose tissue transcriptome profiles during the periparturient period in Holstein dairy cows.Journal of animal science and biotechnology · 2020Article
- A Smart Card-Based Electronic School Absenteeism System for Influenza-Like Illness Surveillance in Hong Kong: Design, Implementation, and Feasibility Assessment.JMIR public health and surveillance · 2017Article
- Influenza detection and prediction algorithms: comparative accuracy trial in Östergötland county, Sweden, 2008-2012.Epidemiology and infection · 2017Article
- Algorithms for detecting and predicting influenza outbreaks: metanarrative review of prospective evaluations.BMJ open · 2016Article
- Performance of eHealth data sources in local influenza surveillance: a 5-year open cohort study.Journal of medical Internet research · 2014Article
- Building a transnational biosurveillance network using semantic web technologies: requirements, design, and preliminary evaluation.Journal of medical Internet research · 2012Article
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- Digital dashboard design using multiple data streams for disease surveillance with influenza surveillance as an example.Journal of medical Internet research · 2011Article
- A cloud-based simulation architecture for pandemic influenza simulation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAdvanced technical systems and analytic methods promise to provide policy makers with information to help them recognize the consequences of alternative courses of action during pandemics. Evaluations still show that response programs are insufficiently supported by information systems. This paper sets out to derive a protocol for implementation of integrated information infrastructures supporting regional and local pandemic response programs at the stage(s) when the outbreak no longer can be contained at its source.
methodsNominal group methods for reaching consensus on complex problems were used to transform requirements data obtained from international experts into an implementation protocol. The analysis was performed in a cyclical process in which the experts first individually provided input to working documents and then discussed them in conferences calls. Argument-based representation in design patterns was used to define the protocol at technical, system, and pandemic evidence levels.
resultsThe Protocol for a Standardized information infrastructure for Pandemic and Emerging infectious disease Response (PROSPER) outlines the implementation of information infrastructure aligned with pandemic response programs. The protocol covers analyses of the community at risk, the response processes, and response impacts. For each of these, the protocol outlines the implementation of a supporting information infrastructure in hierarchical patterns ranging from technical components and system functions to pandemic evidence production.
conclusionsThe PROSPER protocol provides guidelines for implementation of an information infrastructure for pandemic response programs both in settings where sophisticated health information systems already are used and in developing communities where there is limited access to financial and technical resources. The protocol is based on a generic health service model and its functions are adjusted for community-level analyses of outbreak detection and progress, and response program effectiveness. Scientifically grounded reporting principles need to be established for interpretation of information derived from outbreak detection algorithms and predictive modeling.
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