A proposal for a computer-based framework of support for public health in the management of biological incidents: the Czech Republic experience

Authored by Vladimir Bures, Tereza Otcenaskova, Pavel Cech, Karel Antos

Date Published: 2012-11

DOI: 10.1177/1757913912444260

Sponsors: Czech Science Foundation Smart Environments at Workplaces (SMEW) Ministry of Defence and Armed Forces of the Czech Republic

Platforms: NetLogo

Model Documentation: Other Narrative

Model Code URLs: Model code not found

Abstract

Aims: Biological incidents jeopardising public health require decision-making that consists of one dominant feature: complexity. Therefore, public health decision-makers necessitate appropriate support. Methods: Based on the analogy with business intelligence (BI) principles, the contextual analysis of the environment and available data resources, and conceptual modelling within systems and knowledge engineering, this paper proposes a general framework for computer-based decision support in the case of a biological incident. At the outset, the analysis of potential inputs to the framework is conducted and several resources such as demographic information, strategic documents, environmental characteristics, agent descriptors and surveillance systems are considered. Results: Consequently, three prototypes were developed, tested and evaluated by a group of experts. Their selection was based on the overall framework scheme. Subsequently, an ontology prototype linked with an inference engine, multi-agent-based model focusing on the simulation of an environment, and expert-system prototypes were created. Conclusions: All prototypes proved to be utilisable support tools for decision-making in the field of public health. Nevertheless, the research revealed further issues and challenges that might be investigated by both public health focused researchers and practitioners.

Tags

Ontology Decision support systems biological incidents multi-agent technology public health management