COVID-19

created on: 2020-07-06 10:40:37.0 by tung, last updated on: 2021-09-01 09:57:38.0 by sheriff

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 https://www.ebi.ac.uk/biomodels/search?query=submitter_keywords:COVID-19&domain=biomodels

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: covid-archives@googlegroups.com

Project partners

Dagmar Waltemath, Esther Inau, Medical Informatics and Core Unit Research Data Management, University Medicine Greifswald, Germany.
Henning Hermjakob, Rahuman Sheriff, BioModels, EMBL-EBI, Cambridge, UK.
Matthias König, Systems Biology of the Liver, Humboldt-University Berlin, Germany.
Martin Scharm, code ahoi software, Germany.

Funding

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