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Zoekresultaten - 433 results
Linking animal and human health burden: challenges and opportunities
can impact humans through three key processes: directly through zoonotic disease, indirectly via changes in yields and their impacts on nutrition and wealth, and finally, through indirect features ...
Establishing disease models for the Belgian national burden of disease study: challenges and perspectives
are adapted from the Global Burden of Disease (GBD) study, and complemented with local data where possible. This process ensures consistency with available disability weights, while still allowing for ...
The burden of psoriasis in Belgium, 2021
processes within the health sector. According to the Global Psoriasis Atlas, the prevalence of psoriasis is rising globally. The current study aims to estimate the burden of psoriasis in Belgium using ...
Burden of inflammatory bowel disease in Belgium, 2020
for more accurate disease burden estimates to guide decision-making processes within the health sector. As a part of the Belgian national burden of disease study (BeBOD), this study aims to estimate the ...
The knowledge layer: the role of key messages for translating data into meaning
conflicting information on critical health topics, complicating the decision-making process for policymakers. To address this issue, Belgium has initiated the ‘Health Status Report’ website, hosted at ...
The information layer: shaping data into meaning with interactive tools
health data are contingent upon a robust analytical framework. This framework encompasses essential processes such as data cleaning, validation, and the critical evaluation of bias and missing data. ...
The data layer: the importance of sources critical appraisal
specific to each disease and outcome of interest. This process includes a thorough evaluation of the operational case definitions, as well as the strengths and weaknesses of each database, with a particular ...
Salmonella spp. as a be.Prepared Case Study for Integrating Microbial Genomic and Health Data in Public Health Surveillance
architecture supports the central collection, processing, and linking of laboratory, clinical, epidemiological data with microbial genomic indicator data derived from Whole Genome Sequencing (WGS) ...
be.Prepared: Setting up a cloud-based bioinformatics platform and coupled NRC usability platform for integrated genomic-epidemiological analysis at a national level
bioinformatics platform for processing microbial WGS data using harmonized bioinformatics pipelines, (ii) a local NRC-usability platform supporting different pathogens, and (iii) the healthdata.be platform for ...
Advancing regulatory dialogue: In silico models for improved vaccine biomanufacturing- an expert meeting report.
experts, and academic and industry professionals specialising in vaccine process and product development. The sessions discussed key parameters and requirements for model development and verification ...