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This paper examines the usage and effectiveness of analytics and information technology solutions to the micro-level and macro-level health-related challenges that emerged with the SARS-CoV-2 virus. Case studies are discussed in order to paint a portrait of the development, evolution, and effectiveness of health-related analytics tools and information technologies in the context of the response to COVID-19. By considering and synthesizing examples of what worked very well, what worked moderately well, the paper develops a lucid framework for classifying the effectiveness of different analytics and IT artifacts as they pertain to the coronavirus pandemic. The framework is proposed to have a great deal of utility not only for helping scientists and decision-makers to document and understand the current state of analytics and IT as they relate to COVID-19, but also as a forward-looking guide that can support managerial, medical, scientific, and political decision-making in preparation for future pandemics.

Analytics and IT in the Response to COVID-19: A Research Framework and Lessons for the Future