Volume 27, Number 10—October 2021
Research
Predictors of Test Positivity, Mortality, and Seropositivity during the Early Coronavirus Disease Epidemic, Orange County, California, USA
Table 1
Global Moran’s I statistics for reported coronavirus disease case incidence, test positivity, and testing intensity for each month of the study period, Orange County, California, USA, March–August 2020*
Month | Case incidence |
Test positivity |
Testing intensity |
|||||
---|---|---|---|---|---|---|---|---|
I | p value | I | p value | I | p value | |||
March | 0.238 | 0.002 | 0.059 | 0.150 | 0.448 | 0.001 | ||
April | 0.168 | 0.012 | 0.271 | 0.001 | 0.022 | 0.257 | ||
May | 0.558 | 0.001 | 0.492 | 0.001 | 0.345 | 0.001 | ||
June | 0.606 | 0.001 | 0.552 | 0.001 | 0.469 | 0.001 | ||
July | 0.591 | 0.001 | 0.500 | 0.001 | 0.408 | 0.001 | ||
August | 0.603 | 0.001 | 0.472 | 0.001 | 0.185 | 0.002 |
*The Moran’s I statistic indicates the degree of spatial clustering whereas the simulated p-value gives an indication of statistical significance. Moran’s I values roughly range from −1 to 1, with 1 indicating complete spatial clustering (i.e., all areas with high values are neighboring other areas with high values) and −1 indicating complete spatial dispersion (with high value areas always neighboring low value areas).