COVID-19 Tracker keeps track of available COVID-19 related data in the United States, and generates integrated visual reports to help inform and understand the current outbreak in all 50 states.
COVID-19 Tracker is developed by khuang.io.As of , total people have been tested in all 50 states and Washington, DC. Among which, people are tested positive (confirmed cases); (% of confirmed cases) deaths have been reported ; people are severely ill and hospitalized. Thus far, people have recovered from COVID-19.
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Disease prevalence here is defined as the number of confirmed cases per 1000 people. In the figure below, confirmed cases (Figure 3A) and disease prevalence (Figure 3B) of each county in all 50 states are shown. Regions with high number (>10,000) of confirm cases tend to be concentrated in densely populated urban areas, as seen in Figure 3A. However, to appropriately compare the coronavirus outbreak in different regions in the country, it is crucial to normalize data for population size, and report disease prevalence.
Total people have been tested in . Among those, people are tested positive (confirmed cases); (% of confirmed cases) deaths have been reported ; people are severely ill and hospitalized. So far, the reported number of patients who have recovered from COVID-19 is .
To see data in a different state, find and click on the state's abbreviation listed on the sides.
State-level testing data are retrieved in real time from the COVID Tracking Project. Their database is updated daily by 5 PM EST.
County-level data for confirmed COVID-19 cases are from The New York Times coronavirus data GitHub repository. According to the repo, their data are updated several times a day. However, COVID-19 tracker site pulls data from them once a day at night.
Information on when, and in which state, stay-at-home policy was announced is from The New York Times. However, COVID-19 tracker site does not provide information for states that have not yet declared a state-wide policy.
Resident population in 2019 by state was obtained from Statista. County-level population data was collected from the US Census Bureau.
The number of staffed beds as of 2019 in each state was found at Statista.
Due to the fact that data used on this site come from various sources, potential error and discrepency could occur. In particular, COVID-19 data in each state rely primarily on reports originated from local government agencies, and availability of information varies from state to state.
External links:Acknowledgements: COVID-19 Tracker thanks The COVID Tracking Project and The New York Times for publicly providing COVID-19 data. And many thanks to my family, friends, and colleagues for their support, kind words, and suggestions for the site.
It isn't always intuitive to conceptualize exponential growth. It starts out very slow for a very long time, but by the time it's even noticeable, it's already too late to change. The plots below help to illustrate how small changes today predict large changes in the future, often in relatively short timeframes.
In the figures below, hospital occupancy is calculated, assuming no intervention, if exponential growth continues for a given time period. We ask how long it would take to fill all hospital beds. Hospital capacity is defined as the total number of staffed beds in each state (source: Statista, data from 2019).
Each plot here reports a single state. The two curves show the number of days to reach the maximum hospital capacity at presumed doubling rates (DR) of every 2 days (no intervention) and 5 days (significant intervention). Doubling rate is the number of days it takes to observe hospitalized patients doubled, which may be different than the time it takes to observe doubled infected cases. Projections are available only for states that have reported the number of hospitalized COVID-19 patients. These figures will change as the number of hospitalized patients will change daily from the COVID Tracking Project.