COVID-19 Rapid Evidence Reviews Group (CORRE)

A standardised observational framework to characterise H5Nx clinical epidemiology and address critical knowledge gaps to improve patient outcomes.

Training session at GA East Hospital

Doctors at Ga East Municipal Hospital having a practical session on the use of REDCap for CCP data entry

Bringing together evidence to tackle COVID-19

The COVID-19 Rapid Evidence Reviews Group (CORRE) is a collaborative effort between ISARIC and several other international partners that aims to provide high quality rapid evidence synthesis for use in COVID-19 research activities.

Reports produced by the COVID-19 Rapid Evidence Reviews Group seek to provide an answer to a list of relevant research questions. The final purpose is to accelerate our collective understanding of COVID-19 to help improve patient care and inform public health policy.

Coming soon

Clinical Characterisation of COVID-19: a systematic review (submitted)

Clinical Management Guidelines for COVID-19: a systematic review (ongoing)

Resources

Obesity An independent risk factor for COVID-19 severity

Scope, quality, and inclusivity of clinical guidelines produced early in the COVID-19 pandemic – rapid review

What are the long-term symptoms and complications of COVID-19: a protocol for a living systematic review

Transmission dynamics and secondary attack rate of SARS-CoV-2

What is the duration and dynamics of viral shedding in various body fluids in coronaviruses

ISARIC associated clinical studies in COVID-19

Members of the COVID-19 Rapid Evidence Reviews Group include:

Public Health Bioinformatics Group

http://publichealthbioinformatics.org/members

Will Hsiao
william.hsiao@gmail.com

 Gurinder Gosal
gurinder.gosal@bccdc.ca

Ivan Gill
ivan.gill@bccdc.ca

Librarian Reserve Corps

https://extranet.who.int/goarn/

Sara Loree
lorees@slhs.org

Usher Institute – UNCOVER
(Usher Network for COVID-19 Evidence Reviews)

https://www.ed.ac.uk/usher/uncover

Harish Nair
harish.nair@ed.ac.uk

Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies (CAMARADES)

http://www.dcn.ed.ac.uk/camarades/default.htm

Emily Sena
emily.sena@ed.ac.uk

St Andrews University, Infection and Global Health Research

http://med.st-andrews.ac.uk/infection/

Muge Cevik
mc349@st-andrews.ac.uk

School of Health Sciences, City, University of London

https://zika.ispm.unibe.ch/assets/data/pub/search_beta/

Melina Michelen
melina.michelen@city.ac.uk

Charitini Stavropoulou
charitini.stavropoulou@city.ac.uk

For any questions or to take part in this initiative, please email romans.matulevics@ndm.ox.ac.uk