A Survey of Requirements for COVID-19 Mitigation Strategies. Part II: Elicitation of Requirements

Jamroga, Wojciech

arXiv.org Artificial Intelligence 

COVID-19 has influenced virtually all aspects of our lives. Across the world, countries applied wildly varying mitigation strategies for the epidemic, ranging from minimal intrusion in the hope of obtaining "herd immunity", to imposing severe lockdowns on the other extreme. It seems clear at the first glance what all those measures are trying to achieve, and what the criteria of success are. But is it really that clear? Quoting an oft-repeated phrase, with COVID-19 we fight an unprecedented threat to health and economic stability [Soltani et al., 2020]. While fighting it, we must protect privacy, equality and fairness [Morley et al., 2020] and do a coordinated assessment of usefulness, effectiveness, technological readiness, cyber security risks and threats to fundamental freedoms and human rights [Stollmeyer et al., 2020]. Taken together, this is hardly a straightforward set of goals and requirements. Thus, paraphrasing [Stollmeyer et al., 2020], one may ask: What problem does a COVID mitigation strategy solve exactly? 1

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