US Details (Click on or touch a state to see trends for the state)

(Click on or touch a state to see trends for the state)

Top 10 Visuzalizations

1. State of Vaccination

% Population partially vaccinated (1st Dose) 46.8 %
% Population fully vaccinated (both doses) 34.06 %

Answer questions such as -
How many people have received 1st and/or 2nd doses?
How do states compare with each other?

Data Source: CDC.gov

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2. State of the Union

Answer questions such as -
How are all states doing compared to a certain day?
How do states compare with each other over a certain period?

Data Source: The COVID Tracking Project

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3. Major Indicators

Show trends of Cases, Deaths, Currently Hospitalized, Tests, Positivity %, ICU usage and ventilator usage. Show them by daily, total or 7-day averages.
Answer questions such as - How is the country or a state doing overall?

Data Source: The COVID Tracking Project

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4. Risk Level by State

Risk levels are based on a scale developed by the Harvard Global Health Institute and a collaboration of top scientists at institutions around the country.

RED
Threshold: 25+ daily new cases per 100,000 people
Indicates: unchecked community spread

ORANGE
Threshold: 10-24 daily new cases per 100,000 people
Indicates: escalating community spread

YELLOW
Threshold: 1-9 daily new cases per 100,000 people
Indicates: potential community spread

GREEN
Threshold: Less than 1 daily new case per 100,000 people
Indicates: close to containment

Data Source: Johns Hopkins University

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5. Positivity % across the US

Positivity %: Percent of people tested positive for COVID-19. As the states ramp up testing - it is expected this number to go down if prevalence of COVID-19 is stable or decreasing.

Data Source: The COVID Tracking Project

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6. Weekly UI Claims

Weekly UI claims across the US. COVID-19 related lockdowns in March and April caused massive unemployment and have so far led more than 65 million to file for first time UI benefits.

This visualization shows historical UI claims filings.

Data Source: Department of Labor

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7. Monthly Unemployment Rate

Monthly Unemployment Rate in the US.

This visualization shows historical unemployment rate beginning 1967.

Data Source: Bureau of Labor Statistics

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8. Timeline of Events

Quick visualisation showing the timeline of events since December 2019.

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9. Case Trends by Zip Code in Maryland

Case Trends by Zip Code in Maryland.

Data Source: Maryland Department of Health

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10. Trends by County in Maryland

Case, Fatalities and Positivity Trends by County in Maryland.

Data Source: Maryland Department of Health

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International Trends

Click countries to view history

Notes

This COVID-19 tracker is provided by mSightly for educational and demo purposes of the mSightly Analytics and Mobility Platform capabilities. We do not take the responsibility for the data shown or any conclusions that might be applied out of the data.

All dashboards and web services are proprietary to the respective organization. The purpose of using them here is to demonstrate capabilities of our platform. We are in no shape or form liable for accuracy, fitness for use and merchantability. DO NOT rely on this service for any medical guidance.

We are inspired by the deliberate research, work and dashboard of the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU), The COVID Tracking Project at The Atlantic Magazine, World Health Organization (WHO), Center for Disease Control (CDC) and many more. They hold the copyright 2020 for their research, including data and analysis which they provide on their website to the public strictly for educational and academic research purposes.

We have listed the data source for each dashboard in the "Notes" section on each page. If you would like to recommend a source and/or a visualisation or provide feedback/suggestions, please email us at "info AT msightly DOT com". You can also follow us on twitter @mSightly or @niravb.

Additionally, we would like to thank every healthcare professional who are directly or indirectly involved in fighting this deadly disease.