Assessing fitness-for-purpose and comparing the suitability of COVID-19 multi-country models for local contexts and users

• Main Authors: Clapham, Hannah, Gad, Mohamed, Gheorghe, Adrian, Hutubessy, Raymond, Megiddo, Itamar, Painter, Christopher, Ruiz, Francis, Cheikh, Nejma, Gorgens, Marelize, Wilkinson, Thomas, Brisson, Marc, Gay, Nigel, Jane, Labadin, McVernon, Jodie, Luz, Paula M., Ndifon, Wilfred, Nichols, Brooke E., Prinja, Shankar, Salomon, Joshua, Tshangela, Akhona
• Format: Article
• Language: English
• Published: Bill and Melinda Gates Foundation 2021
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://ir.unimas.my/id/eprint/40713/3/Assessing%20fitness.pdf; http://ir.unimas.my/id/eprint/40713/; https://gatesopenresearch.org/articles/5-79/v1

Background: Mathematical models have been used throughout the COVID-19 pandemic to inform policymaking decisions. The COVID-19 Multi-Model Comparison Collaboration (CMCC) was established to provide country governments, particularly low- and middle-income countries (LMICs), and other model users with...