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During the COVID-19 pandemic, several countries have taken the approach oftiered restrictions which has remained a point of debate due to a lack oftransparency. Using the dominance-based rough set approach, we identifypatterns in the COVID-19 data pertaining to the UK government's tieredrestrictions allocation system. These insights from the analysis are translatedinto "if-then" type rules, which can easily be interpreted by policy makers.The differences in the rules extracted from different geographical areassuggest inconsistencies in the allocations of tiers in these areas. We foundthat the differences delineated an overall north south divide in England,however, this divide was driven mostly by London. Based on our analysis, wedemonstrate the usefulness of the dominance-based rough sets approach forinvestigating the fairness and explainabilty of decision making regardingCOVID-19 restrictions. The proposed approach and analysis could provide a moretransparent approach to localised public health restrictions, which can helpensure greater conformity to the public safety rules.

How fair were COVID-19 restriction decisions? A data-driven investigation of England using the dominance-based rough sets approach