AUTHOR=Gustafsson Wiktor , Dórea Fernanda C. , Widgren Stefan , Frössling Jenny , Vidal Gema , Kim Hyeyoung , Cha Wonhee , Comin Arianna , Rodriguez Ewerlöf Ivana , Rosendal Thomas TITLE=Data workflows and visualization in support of surveillance practice JOURNAL=Frontiers in Veterinary Science VOLUME=10 YEAR=2023 URL=https://www.frontiersin.org/journals/veterinary-science/articles/10.3389/fvets.2023.1129863 DOI=10.3389/fvets.2023.1129863 ISSN=2297-1769 ABSTRACT=

The Swedish National Veterinary Institute (SVA) is working on implementing reusable and adaptable workflows for epidemiological analysis and dynamic report generation to improve disease surveillance. Important components of this work include: data access, development environment, computational resources and cloud-based management. The development environment relies on Git for code collaboration and version control and the R language for statistical computing and data visualization. The computational resources include both local and cloud-based systems, with automatic workflows managed in the cloud. The workflows are designed to be flexible and adaptable to changing data sources and stakeholder demands, with the ultimate goal to create a robust infrastructure for the delivery of actionable epidemiological information.