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This page has a number of charts on the pandemic. In the box below you can select any country you are interested in — or several, if you want to compare countries. To understand the risks and respond appropriately we would also want to know the mortality risk of COVID — the likelihood that someone who is infected with the disease will die from it. We look into this question in more detail on our page about the mortality risk of COVID , where we explain that this requires us to know — or estimate — the number of total cases and the final number of deaths for a given infected population. Because these are not known, we discuss what the current data can and can not tell us about the risk of death.

To help provide a detailed picture of the past, present and future of the coronavirus pandemic in the United States, here are four ways of thinking about it in hundreds of metro areas across the country, using data compiled by The New York Times.

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This page will be updated regularly. The simplest way to track the progress of an outbreak is by seeing how many new cases and deaths are reported in a given area each day. The metro areas with the greatest number of new cases, relative to their population, in the last two weeks:. Of course, case counts are subject to variable rates of testing — cases could fall in places Why Were Causalities so High on the because fewer Highh are being done — so moderate changes in rankings on more info tables may not always be meaningful. Here, the metro areas where new reported cases are rising the fastest, on a population-adjusted basis:. Below, the metro areas that have had the highest cumulative case rates since the start of the outbreak:. As the pandemic progresses, the number of cases per th can provide a good measure of the prevalence of coronavirus in a community, even if the deadliest period of the outbreak has passed, as Why Were Causalities so High on the may have in places like Seattle, New York and New Orleans.

There are other measurements that would be helpful in understanding the progress of the epidemic in different places, such as the number of new hospitalizations, the number of tests administered or the number of people showing any symptoms of respiratory illness. But confirmed coronavirus cases, however incomplete, are the most useful daily statistics currently available Causaities a local level everywhere in the country. The Times has identified the following reporting anomalies or methodology changes in the data:. June New Jersey began reporting probable deaths, including those from earlier in the pandemic, causing a jump in the number of total deaths.

June New York City released deaths from earlier periods but did not specify when they were from. It also revised how it assigns cases to zip codes throughout the city. In data for the United States, The Times Causalitles now including cases and deaths that have been identified by public health HHigh as probable coronavirus patients. Some states and counties only report figures in which a coronavirus infection was confirmed through testing. Because confirmed cases are widely considered to Why Were Causalities so High on the an undercount of read more true toll, some state and local governments have started identifying probable cases and deaths using criteria that were developed by states and the federal government.

Confirmed cases and deaths are counts of individuals whose coronavirus infections were confirmed by a laboratory test. Probable cases and deaths count individuals who did not have a confirmed test but were evaluated using criteria developed by national and local governments.

Some governments are reporting only confirmed cases, while others are reporting both confirmed and probable numbers. And there is also another set of governments that are reporting the two types of numbers combined without providing a way to separate the confirmed from the probable.

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The Times is now using the total of confirmed and probable counts when they are available individually or combined. Otherwise only the confirmed count will be shown. Governments often revise go here or report a large increase in cases on a single day without historical revisions, which can cause an irregular pattern in the daily reported figures. The Times is excluding these anomalies from seven-day averages when possible. It seems that there are four factors that most likely play a role : how close you get to an infected person; how long you are near that person; whether that person expels viral droplets on or near you; and how much you touch your face afterwards. Here is a guide to the symptoms of Covid You can help reduce your risk and do your part to protect others by following some basic steps :.

Keep your distance from others.]