Reproducible simulation studies targeting COVID-19

In a collaboration between the University of Greifswald, the Humboldt-University Berlin, code ahoi, and the BioModels database at EMBL-EBI, we aim to rapidly disseminate simulation studies of COVID-19 models to the research community, in interoperable formats and in high quality. 

Selected list of curated models

BIOMD0000000955 Giordano2020 - Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy
BIOMD0000000956 Bertozzi2020 - The challenges of modeling and forecasting the spread of COVID-19
BIOMD0000000957 Roda2020 - Why is it difficult to accurately predict the COVID-19 epidemic?
BIOMD0000000958 Ndairou2020 - Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan
BIOMD0000000960 Paiva2020 - A data-driven model to describe and forecast the dynamics of COVID-19 transmission
BIOMD0000000962 Zhao2020 - Modeling the epidemic dynamics and control of COVID-19 outbreak in China

Browse the complete list of Covid-19 related models at

How we can help you as a modeller

  • When you submit your model to BioModels, we ensure rapid curation.

  • We’ll help you polish the model code, encode simulation experiments; we’ll test your model for reproducibility, and we’ll help with detailed semantic annotation.

  • If we cannot curate your model on our own, we’ll ask COMBINE experts for help, and together with you we will hopefully be able to make your model code COMBINE-compliant and reusable.

  • Your model will appear in our special COVID-collection, gaining higher visibility and potentially helpful feedback from the scientific community.

  • We will also link your model to and from additional resources and websites, including EOSC and B2SHARE, FAIRsharing, COMBINE website, Twitter…  

  • Contact email: 

Project partners


This project is supported by COVID-19 Fast Track Funding. has received funding from the European Union's Horizon Programme call H2020-INFRAEOSC-05-2018-2019, grant Agreement number 831644.