Academics and public health practitioners studying communicable disease dynamics have

long advocated for open-access data to better inform risk assessments. During any

evolving outbreak, the collection, aggregation, visualisation, and analysis of granular

data is paramount to developing appropriate public health interventions.1 The COVID-19

pandemic has underscored the need for this type of information, especially in relation

to context (eg, timing and intensity of interventions) and epidemiology (eg, spatially

resolved and age-specific case counts).

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