Background
Table of contents
About
This project is focused on measures, metrics, trends, and models for understanding and anticipating the spread of SARS-CoV-2Severe Acute Respiratory Syndrome Coronavirus 2 infections. The measures, metrics, and models are explored/developed via SARS-CoV-2 field tests data; tests data and measures thereof.
The country in focus is the United States, and the data sources are COVID Tracking Project, Johns Hopkins University & Medicine, United States Census Bureau, and the United States Environment Protection Agency.
Explorations
| comment | |
|---|---|
| Impending outbreaks | Is it possible to anticipate outbreaks of SARS-CoV-2 infections via running percentage changes of cumulative observations per $\mathbf{\small{100K}}$ people, w.r.t.with respect to a set of time periods? |
| Trends of observations per 100K | The veracity, or usefulness, of positive test rates – and similar rates, e.g., death positive, death hospitalised, etc. - depends on (a) underlying data & standards, and (b) calculation standards. Bearing these in mind, and their associated issues, what is discernible from unambiguously defined rates trends? |
| Measures of variation, location, and symmetry | Simple illustrations of observations-variations across states. |