Using a published model of COVID-19 transmission and local population data, this collection of reports provides modelled projections of COVID--19 epidemics in 97+ countries under different intervention scenarios. Countries are organised by 3-letter ISO code. In addition to the reports, we also provide simulation outputs for use in other analyses.

The named authors gratefully acknowledge funding of the NTD Modelling Consortium by the Bill and Melinda Gates Foundation (OPP1184344) and via other grants (INV­003174). They also acknowledge support from Elrha’s Research for Health in Humanitarian Crises (R2HC) Programme, which aims to improve health outcomes by strengthening the evidence base for public health interventions in humanitarian crises. The R2HC programme is funded by the UK Government (DFID), the Wellcome Trust, and the UK National Institute for Health Research (NIHR). This work was also supported by the Department for International Development/Wellcome Epidemic Preparedness - Coronavirus research programme (ref. 221303/Z/20/Z). Additionally, the authors acknowledge Global Challenges Research Fund (GCRF) project ‘RECAP’ managed through RCUK and ESRC (ES/P010873/1). Finally, this work was also supported by grants from HDR UK (grant: MR/S003975/1), MRC (grant: MC_PC 19065), NIHR (16/137/109), NIHR: Health Protection Research Unit for Modelling Methodology (HPRU-2012-10096), and the European Commission (101003688).

COVID-19, LMIC, Modelled projections, Low and middle-income countries, Coronavirus