Coronavirus Outbreak, The pandemic has struck the world in the big-data era. There are as varied statistical perspectives into the crisis as they are thought-provoking. From mapping the Coronavirus Outbreak ‘s trajectory to charting its impact, researchers have utilized data thus collected to present insights for administrations to address the crisis efficiently.
Here is a compilation of charts that offer different perspectives on the outbreak by Worldometer and Our World in Data.
1. Per Capita Impact
Beyond the total number of cases, where India ranks 17th, the magnitude of the crisis has been less severe in terms of per capita impact. India has about 13 cases per million as opposed to over 2,380 cases per million in the US, as of April 21. China, which has an analogous population to India’s, had a little under 60 cases per million people.
2. Testing Ratio
Testing is the only tool for the authorities to assess the number of absolute confirmed cases but the diagnosis has been one of the most belligerent elements in countries’ response to the pandemic with multiple Coronavirus developed countries, too, struggling to amplify testing. Tests per confirmed case can indicate two things: the scale of the outbreak & how people have been tested. In the case of Vietnam, 750 tests per confirmed case shows that either the size of the outbreak is small or it has conducted a lot of tests. To compare that with the US, which has the most reported cases, makes it perceptible that, given the magnitude of the outbreak, the rate of testing is low.
3. Case Fatality Rate
The Case Fatality Rate (CFR) is the percentage of people who die of the disease out of the total infected cases. However, experts are of the opinion that CFR does not give an accurate idea of how deadly a disease is because it relies on the number of confirmed cases and, in the case of the novel coronavirus, many cases are not being reported or detected. To add to that, the probability of dying from a disease depends on factors like the availability and intensity of medical treatment and can vary by location and demography of the population affected.
4. GDP Per Capita
With almost 80% of coronavirus cases being more concentrated in high-income countries, wealthier economies have reported not only more cases but also, deaths. Perhaps, this is because such countries are also the ones more competent to conduct tests on a larger scale. However, wealthier economies were also hit the worst because their residents are likely to travel more frequently than those in poorer countries.
5. Age Structure Of The Demography
Preliminary research suggests that countries with Coronavirus a larger share of older people face the brunt of the outbreak, rather severely. While Japan (with just 11,053 cases on April 26) may pose an exception to this assumption, Western European countries, with a much higher proportion of the elderly population in contrast to the likes of India and China, emerged as the cradle of the pandemic as it spread across the globe.
6. Recovery Rate
Global recovery rate in closed cases — the cases that have either Coronavirus ended in deaths or recoveries — went up post the first wave of pestilence in China, and has since flattened. As Europe and the US combat the pandemic, the death and recovery rates in closed cases will provide a more accurate overview of how fatal the disease can become & how effective treatment measures have been.