Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

Created in March 2020 to assist policymakers to make use of existing evidence in mathematical and epidemiological models to inform strategies for minimising the impact of COVID-19, the CoMo Consortium brings together mathematical modellers, epidemiologists, health economists and public health experts from more than 40 countries across Africa, Asia and South and North America.

The COVID-19 International Modelling Consortium (CoMo Consortium) - image of he world highlighting countries with CoMo members, its logo and the text CoMo Consortium

The CoMo Consortium is delighted to have been awarded funding by the University’s COVID-19 Research Response Fund, enabling the group to continue to support country members, predominantly low- and middle-income countries, who require modelling support for non-pharmaceutical interventions such as social distancing, mask wearing and handwashing, while they wait for vaccines and to support these countries with modelling the implementation of vaccine programmes.

CoMo uses an innovative participatory approach, leveraging experts from the University of Oxford and other collaborating partners to provide capacity building and support to in-country modellers.

Lisa J. White, Professor of Modelling and Epidemiology at the University of Oxford and Director of the CoMo Consortium, explains:

 “Our approach in the CoMo Consortium represents a new more equitable way to conduct pandemic modelling. Here, experts within the country teams take the leading role in modelling the pandemic working closely with national policymakers. Researchers at Oxford provide technical and consultative support as needed. Modelling work is carried out within the health and policy context of each country leading to rapid uptake of results via continuous communication with the decisionmakers.”

This approach has enabled in-country teams to assist policymakers in making evidence-based decisions to contain the spread of COVID-19, supported by epidemiological and economic models adapted to each country’s context. In addition to this the group has published a series of papers which are now published.

For more information, visit our BMJ co-hosted website

Similar stories

Pilot study detects diverse DNA in ingredients of falsified tablets

A recent multidisciplinary pilot study, originating from LOMWRU and the Medicine Quality Research Group of IDDO and MORU, investigated whether bacterial, plant, fungal and animal DNA in the ingredients and from the environment (eDNA) could be detected from falsified (aka counterfeit) tablets.

Expert Comment: Biotechnology allows us to make unprecedented interventions for conservation

In the wake of high-profile reports on the devastating toll human activity has had on global biodiversity, nations are expected to adopt the Convention on Biodiversity post-2020 framework that outlines measures to ensure humans live in harmony with nature.

Researchers call for antimicrobial resistance surveillance to be improved

The number of studies reporting antimicrobial resistance (AMR) data has increased in Africa, South and South East Asia according to new research in the International Journal of Infectious Diseases.

Meta-analysis informed the updated WHO guidelines for treatment of uncomplicated malaria in the first trimester of pregnancy

A new WWARN meta-analysis, commissioned by the World Health Organization and which informed a change to its treatment guidelines, has been published in The Lancet. The study provides compelling evidence that artemether-lumefantrine should now replace quinine as the treatment of choice in the first trimester.

Bacterial infections linked to one in eight global deaths, according to GRAM study

Data showing 7.7 million deaths from 33 bacterial infections can guide measures to strengthen health systems, particularly in low-income settings

GRAM visualization tool tracks country-level AMR and related metrics

Interactive app allows users to explore data underlying estimates of global AMR burden