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PA Coronavirus (COVID-19) Update Archive

Case Count and Death Data Archive

Archived County Dashboard

During the reopening process, the Department of Health maintained a county dashboard to help determine the reopening process.

Early Warning Monitoring Updates By Date

The PA Early Warning Monitoring Dashboard is updated weekly on Mondays. This dashboard provides county and statewide breakdowns on the number of confirmed cases, incidence rates per 100,000, PCR testing occurrences, average daily hospitalizations, average daily ventilators, and total hospital visits — all data used when determining mitigation and reopening plans. View the numbers by date, weekly reports are no longer posted, up-to-date information is found in the dashboard.

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Carnegie Mellon Decision Tools

When reopening the state, Pennsylvania utilized Carnegie Mellon University's COVID-19 dashboard to make data-driven public health decisions. The dashboard provided a bigger picture on COVID-19 and provided information that kept Pennsylvanians safe. View archived reports by date below.

Case Investigation, Contact Tracing, and Monitoring By Date

View archived reports on case investigation, contract tracing, and monitoring. These reports are no longer being developed.

COVID-19 Studies

Every protective decision made to mitigate COVID in Pennsylvania is backed by the latest data and research. View the latest:

External Resources

COVID Forecasting and Projections

The Department of Health relies upon multiple experts to forecast COVID-19 metrics, many of which are compiled by the CDC. Utilize the CDC's publicly available compilation of forecasting to find and monitor projected data for the weeks and months ahead. View the CDC's COVID-19 Forecasts: Hospitalizations for reported and forecasted new COVID-19 hospital admissions.

CHOP Policy LAB: Mapping COVID-19 In Your Community 

The Children’s Hospital of Philadelphia and the University of Pennsylvania developed a resource to track and model COVID in the United States. According to CHOP, the team used data from a variety of publicly available sources, the researchers built their model to observe how social distancing, population density, and daily temperatures affect the number and spread of COVID-19 infections over time across a county, accounting for test positivity rates and population characteristics, such as age, insurance status and smoking prevalence.  

COVIDcast Real-Time COVID-19 Indicators

Carnegie Mellon University, along with partners, developed COVIDcast. It provides data, modeling, and tracking for the COVID pandemic.  

CDC Reports

View nationwide COVID-19 data in the CDC's Morbidity and Mortality Weekly Report.