We can make educated guesses about the future spread of the pandemic by using data from the past and present. It is important to look at several variables together when looking for emerging virus trends.
Explore the variables Daily New Confirmed Count and Daily New Confirmed per 100K Pop. Clusters of high counts and percentages of new cases may also mean that nearby areas will soon see an increase in virus spread.
Local clustering shows current groups of counties that are significantly affected and nearby places that may soon see an increase in virus spread. Next, use the Time Graph to see the history of the virus spread to learn about the trajectory of new cases.
The red line rises when more cases exist than did the previous day. The red line falls when there are fewer new cases than the previous day.
This pattern of rising, falling, or staying flat is the trajectory of the virus. Use the trajectory to estimate how many new cases will be diagnosed in the following days. Next, bring together these lines of evidence to interpret emerging trends.
By looking at choropleth maps, local clustering, and the time graph we can predict which counties may soon see higher rates of new Covid-19 cases and how severe those increases may be. These steps can be repeated with the 1point3acres data and may result in different clusters because data sources are collected in different ways. Read the Data page for information about how the data sets are different.