About the CoMo Consortium


he COVID-19 International Modelling Consortium (CoMo Consortium) was created by researchers at the University of Oxford together with academic colleagues at Cornell University and is partnering with infectious disease modellers and other public health experts from more than 40 countries across Africa, Asia, and South and North America.
The CoMo Consortium uses a participatory approach to provide decision-making support to policymakers, using evidence from epidemiological and economic models adapted to each country’s context.

Why policymakers
need the CoMo model

COVID-19 is continuing to spread across the world at a rapid rate, with at least 185 countries affected and fears of further waves of infection.

The pandemic has presented myriad challenges for health care systems around the world, including pressures on health care staff, general hospital beds, intensive care capacity and specialised equipment. In addition to the health effects of the disease, lockdown measures to contain the disease have placed a significant economic burden on countries and communities. 

Policymakers must balance curtailing the negative health effects of the pandemic against minimising the economic impact on societies, calibrating these decisions for the epidemiological, social, cultural and infrastructure context of an individual country. There are few options for treatment for Covid-19, so countries that choose to try to interrupt its spread must rely heavily on non-pharmaceutical interventions (NPIs); these NPIs fall into various categories of behaviour change, including self-isolation for symptomatic individuals, increased hand hygiene, and physical distancing in social settings.

How we work

Policy support

Facilitating a direct link between the experts involved in developing the models and interpreting their outputs, the local in-country experts, and the policymakers in each country.

Model development

Writing, coding, debugging and updating the primary model structure.

Interface development

Creation of a web-based interface that enables non-modellers to run the models, based on their local parameters.

Economic modelling

Conducting modelling to assess the economic costs and impacts arising from an intervention or a suite of interventions.

Evidence synthesis

Combining scientific evidence relating to the Covid-19 pandemic with model projections, economics and financing to create evidence-based policy briefs.

Outreach and communications

Engaging in-country experts and policymakers who are seeking additional modelling support to deal with their specific Covid-19 situation.

Back to top
Cookie Settings