Inventions of Interventions: Data Driven Strategies in Pandemic Research and Control

Abstract

Faced with a rapidly evolving virus, inventors must seek to experiment, iterate and deploy both creative and effective solutions. Supported by empirical model-driven analysis, this paper delves into fundamental paradoxes and biases in the context of epidemic research, increasing awareness at every stage of the clinical trial; ranging from hypothesizing to sampling, and analyses to fake data detection. Critically, the paper also presents novel ideas that demonstrate how the paradoxes and biases covered play into technology development and deployment to combat the surging pandemic, COVID-19.

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