Modeling an Infection with Changing R for San Diego County
The SIR infection model is a simple way of exploring the effects of a social distance policy on a large population such as San Diego County
The SIR infection model is a simple way of exploring the effects of a social distance policy on a large population such as San Diego County
While the number of COVID-19 cases is increasing in most regions, the rate of increase is slowing, suggesting that eforts to control the spread of the virus are working.
The US government has been widely criticized for its failure to test as many of its citizens for COVID-19 infections as other countries. But is mass testing really as easy as it seems? This analysis of the false positive and false negative rates of tests, using published sensitivities and specificities for COVID-19 rt-PCR and antigen tests, shows that even tests with slightly less than perfect results can produce very large numbers of false positives.
A descriptive analysis of the differences between the demographics of schools versus the schools’ enrollment areas, for schools in the San Diego Unified district.
San Diego’s CityIQ system consists of about 4,400 smart street lamps, which use a variety of sensors to track parking, pedestrians, traffic and a variety of environmental conditions. This analysis reveals pedestrian paterns using time-oriented heatmaps.
An exploration of the Los Angeles homelessness counts allocated to land use categories.
A map of the most prevelent race/ethnicity of homelessness, by tract.
Exploring crime patterns with Ryhthm Maps, heat maps with two time dimensions.