Funding will be provided for the development and demonstration of innovative and creative approaches to data evaluation for a detailed spatio-temporal analysis of infection events. The aim should be, for example, to establish the basis for early detection of outbreaks (also on a local scale) or evaluate prevention and containment measures. Projects can either use innovative approaches to analyse pandemic events to date or set out to develop monitoring systems. Proposals and other proposal documents should be in English and should be submitted via the elan portal under “Fokus COVID-19: Erschließen räumlicher Daten” by 25 May 2021.

• Go to call

List of funded Projects:

Subject Area	Project in GEPRIS
Epidemiology and Medical Biometry, Medical/Statistics Massively Parallel and Data-Intensive Systems Mathematics Statistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics	Deep learning-based parameter estimation of high spatial resolution mathematical models for the spread and control of COVID-19 in Germany
Information Systems, Process and Knowledge Management	Designing an Integrative, Comprehensive, Sustainable and Secure Pandemic Data Donation Project in Germany
Epidemiology and Medical Biometry, Medical/Statistics Human Geography	Spatial-temporal Analysis of small-scale Determinants of the Covid-19 Pandemic
Epidemiology and Medical Biometry, Medical/Statistics Information Systems, Process and Knowledge Management	Utilization of spatially resolved data sources for an established agent-based model of Germany and its impact on predicted SARS-CoV-2 dynamics
Statistics and Econometrics Epidemiology and Medical Biometry, Medical/Statistics	Advanced Spatial Statistical Modelling of COVID-19 Data
Human Geography	Socio-spatial diffusion of COVID-19 in Germany
Human Geography Public Health, Health Services Research, Social Medicine	Space-time exploration of COVID-19 data and local risk factors in Berlin: the example of the district of Neukölln
Security and Dependability Clinical Infectiology and Tropical Medicine	Privacy-preserving Contact Context Estimation
Statistical Physics, Soft Matter, Biological Physics, Nonlinear Dynamics Epidemiology and Medical Biometry, Medical/Statistics Mathematics	Bayesian Regression Model to Analyze, Predict and Control the Spreading of COVID-19 in Germany with High Spatial Resolution
Economic Policy, Applied Economics	Covid-19 as amplifier of social inequality- SMall ARea Analyses with German neighborhood Data (SMARAGD)