A. SUMMARY
This dataset represents the COVID-19 positive confirmed cases by comorbidities (underlying conditions). Comorbidities (underlying conditions) for COVID-19 cases are reported when a person has one or more underlying health conditions, such as chronic lung disease including asthma or emphysema, diabetes, cardiovascular disease or liver disease, present at the time of diagnosis.
Data on comorbidities are based on information reported from case interviews, laboratories, and providers. This data may not be immediately available for recently reported cases and data will change to reflect as information becomes available. Cumulative counts of 5 or fewer are excluded from the dataset.
B. HOW THE DATASET IS CREATED
Information on cases including details on any underlying conditions is reported from a combination of data sources including electronic and faxed laboratory reports, case interviews, medical providers, and electronic medical record systems. These multiple streams of data are merged, deduplicated, undergo quality assurance and other data verification processes, and are continually updated to maximize completeness of information and reporting on San Francisco residents with COVID-19. Data are prepared by close of business daily for public display.
C. UPDATE PROCESS
Updated daily, dataset uploaded manually by staff
D. HOW TO USE THIS DATASET
Unknowns may become known over time as more information is gathered.
Categories resulting in 5 or fewer cumulative cases are dropped for privacy reasons.