Why Data Disaggregation is key during a pandemic: A digital transformation toolkit
From the author:
When a pandemic occurs, an appropriate and efficient response requires that we identify and characterize the factors that slow or accelerate transmission and the populations that are most vulnerable. High quality, accessible, trusted, timely, open, and reliable disaggregated data is critical to generating valuable information for decision-making in real time. For instance, to determine if an intervention (e.g., mass self-screening) is effective, we need to know what proportion of the population has been tested. This may require an analysis by age, geographic area, and/or other socioeconomic variables.