Public Health Decision Support

2013 ◽  
pp. 221-248 ◽  
Author(s):  
C. Jacquelinet ◽  
I. Belhadj ◽  
F. Bayer ◽  
E. Sauleau ◽  
P. Lévy ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Public Health Decision ◽  
Health Decision

scholarly journals BigO: A public health decision support system for measuring obesogenic behaviors of children in relation to their local environment

Appetite ◽  
2020 ◽  
pp. 104924
Author(s):  
Christos Diou ◽  
Ioannis Sarafis ◽  
Vasileios Papapanagiotou ◽  
Leonidas Alagialoglou ◽  
Irini Lekka ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Local Environment ◽  
Public Health Decision ◽  
Obesogenic Behaviors ◽  
Health Decision

Systematic Review and Evaluation of Mathematical Attack Models of Human Inhalational Anthrax for Supporting Public Health Decision Making and Response

2020 ◽  
Vol 35 (4) ◽  
pp. 412-419
Author(s):  
Xin Chen ◽  
Prateek Bahl ◽  
Charitha de Silva ◽  
David Heslop ◽  
Con Doolan ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Mathematical Modelling ◽  
Real Time ◽  
Atmospheric Dispersion ◽  
Public Health Decision ◽  
Health Decision Making ◽  
Health Decision ◽  
Modelling Studies ◽  
Attack Models

AbstractBackground:Anthrax is a potential biological weapon and can be used in an air-borne or mail attack, such as in the attack in the United States in 2001. Planning for such an event requires the best available science. Since large-scale experiments are not feasible, mathematical modelling is a crucial tool to inform planning. The aim of this study is to systematically review and evaluate the approaches to mathematical modelling of inhalational anthrax attack to support public health decision making and response.Methods:A systematic review of inhalational anthrax attack models was conducted using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. The models were reviewed based on a set of defined criteria, including the inclusion of atmospheric dispersion component and capacity for real-time decision support.Results:Of 13 mathematical modelling studies of human inhalational anthrax attacks, there were six studies that took atmospheric dispersion of anthrax spores into account. Further, only two modelling studies had potential utility for real-time decision support, and only one model was validated using real data.Conclusion:The limited modelling studies available use widely varying methods, assumptions, and data. Estimation of attack size using different models may be quite different, and is likely to be under-estimated by models which do not consider weather conditions. Validation with available data is crucial and may improve models. Further, there is a need for both complex models that can provide accurate atmospheric dispersion modelling, as well as for simpler modelling tools that provide real-time decision support for epidemic response.

scholarly journals Using participatory design to develop (public) health decision support systems through GIS

2007 ◽  
Vol 6 (1) ◽  
pp. 53 ◽  
Author(s):  
S. Michelle Driedger ◽  
Anita Kothari ◽  
Jason Morrison ◽  
Michael Sawada ◽  
Eric J Crighton ◽  
...  
Keyword(s):  
Public Health ◽  
Decision Support ◽  
Decision Support Systems ◽  
Participatory Design ◽  
Support Systems ◽  
Public Health Decision ◽  
Health Decision
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