Aug. 30, 2022, 1:11 a.m. | Wildan Abdussalam, Adam Mertel, Kai Fan, Lennart Schüler, Weronika Schlechte-Wełnicz, Justin M. Calabrese

cs.LG updates on arXiv.org arxiv.org

Throughout the coronavirus disease 2019 (COVID-19) pandemic, decision makers
have relied on forecasting models to determine and implement non-pharmaceutical
interventions (NPI). In building the forecasting models, continuously updated
datasets from various stakeholders including developers, analysts, and testers
are required to provide precise predictions. Here we report the design of a
scalable pipeline which serves as a data synchronization to support
inter-country top-down spatiotemporal observations and forecasting models of
COVID-19, named the where2test, for Germany, Czechia and Poland. We have built …

arxiv case case study covid covid-19 germany pipeline poland scalable study

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