Data for Social Development
The San Diego Regional Data Library works with nonprofits, governments and journalists to answer data driven questions
Coronavirus Data Driven Recovery Project
The Data Library is interviewing civic and social organizations to identify data needs to coronavirus epidemic planning and recovery. If your organization is engaged in response and recovery planning, please schedule an interview to contribute to the project.
The Data Repository holds data packages for a wide variety of topics, and larger collections for Education and Urban Planning
One of the simplest models of infection is the SIR model, a set of differential equations that describes how people in a population infect each other and eventually recover, transitioning between three compartments, from Susceptible to Infected to Recovered, although, because the…
The three coronavirus metrics that most jurisdictions are publishing are cases, hospitalizations and deaths. The number of cases depends on the extent of testing, but the number of hospitalizations and deaths do not, at least not to the same extent, because while…
Pedestrian counts from San Diego’s smart streetlamps indicates that San Diegans responded strongly to stay at home orders, but the data has some weaknesses.
Know your S curves from your bell curves: A short primer on the main types of curves we see in plots of coronavirus data.
It looks like San Diego has hit its peak in new coronavirus cases, with a notable downturn in the rate of change of daily cases.
The IHME coronavirus projections are important and useful, but it is important to understand their limitations.