The presented study was prepared on the basis of data from the following sources:
equity indices market data; data source: http://stooq.pl/q/d/l/?s=^spx&i=d and http://finance.yahoo.com
the development of the epidemic of coronavirus; data source: https://github.com/CSSEGISandData/COVID-19
the world population data; data source: https://pl.wikipedia.org/wiki/Lista_pa%C5%84stw_%C5%9Bwiata_wed%C5%82ug_liczby_ludno%C5%9Bci
therefore, all the conclusions and observations contained in this article significantly depend on the veracity of the data contained therein!
The S&P500 index has fallen over the last 4 weeks from 2/19/2020 from the level 3393.52 to a value below 2191.86 noting one of the largest short-term declines (around -35.41%), during last several dozen of years. The events of the last 4 weeks tend to analyze the reasons for such a large panic on the financial markets with more attention. We will focus on the following aspects:
description of the reaction of capital markets to the development of the epidemic on the example of the S&P500 index and the VIX volatility index,
global epidemic development, broken down by country, with particular regard to the number of infected (confirmed_cases), the number of people who have recovered (recovered_cases), the number of people who have died (deaths_cases) and mortality in countries with the highest number of coronavirus cases,
evolution of the mortality rate on the basis of two different definitions and the answer to the question of what follows,
aggregate approach to the development of the epidemic in the countries with the highest number of infected in both absolute and relative terms (in relation to the number of population in a given country),
the potential impact of the current epidemic on the economies of countries and the behavior of stock exchanges in the future, in an unprecedented response from governments, central banks and other institutions supervising the behavior of financial markets.
Based on only the available data presented in this study, we can conclude that the current reaction of financial markets in the world was exaggerated and discount only a very negative development, which is one of the possible scenarios and does not necessarily have to happen. In the direction of drawing such a conclusion we are prompted by the following premises:
The high growth dynamics of new cases in some countries (Figures 3 to 13) is an immanent feature of the epidemic at its initial stage (I stage), and as the example of the countries in which the first cases were detected (China, South Korea) shows, the epidemic is manageable.
A detailed analysis of the mortality rate in the two versions presented in this study (Figures 14 to 25) confirms that the countries currently recording the highest increase in both confirmed and deaths cases ( USA, Italy, Spain, Germany, Iran and France) are currently on the initial stage of the epidemic, after which the dynamics of epidemic growth should flatten and move towards the shapes recorded for China and South Korea.
Analysis of the curves illustrating the number of confirmed and deaths in aggregate in absolute terms and in relation to the population in individual countries (Figures 26 to 33) shows that in other countries (except China and South Korea) such as Italy or Iran, the dynamics of new cases are beginning to flatten.
Figures 29 and 33 present the only approach of concern. We can see that after establishing the same starting point for all countries, in the context of epidemic development, in relative terms, in relation to the population in a given country (Figure 29 - the number of confirmed cases > the population in a given country / 1 million, Figure 33 - the number of deaths cases > the population in a given country / 1 million) currently the epidemic in these countries is much faster than in the same period in China. However, we must point out that no democratic country can control its societies as much as China does.
At the end we have to point out that, despite the fact that the level of panic observed recently on financial markets is not fully justified, the prolonged unprecedented actions of the government related to the closure of borders, the isolation of economies, the impossibility of doing business in the normal form and, as a consequence, the complete break in the supply chain can be have very negative and unpredictable economic effects. What’s worse, the subsequent consequences of these activities, e.g. those related to the bankruptcy of even entire sectors of the economy, may have in practice much more severe consequences for the societies of individual countries through significant and permanent destabilization of entire economies, and then the current exaggerated reaction of exchanges, unfortunately post factum, will show fully adequate!
More details concerning our analysis are presented below.
The recent behavior of the S&P500 index is very well illustrated in the chart below, where the dynamics of recent declines indicate the signs of extreme panic …
To answer these and other questions in the summary, let’s look at the beginning of the global epidemic (Global cases - Figure 3), the world excluding China (Cases outside China - Figure 4), and cases only in China (only China cases) - Chart 5).
The charts in this part are presented on a logarithmic scale to properly illustrate whether the epidemic in given countries or parts of the world is developing at an exponential rate, which should actually bother us a lot, or rather at a slower rate, which would indicate its development in a significantly slower pace and less reason to worry and escalate panic among societies around the world.
Increasing the sum of confirmed cases worldwide (red line) to the value 782365 and the number of deaths to the value of 37582, may be of concern. However, a thorough analysis of the number of recovered cases (green line) and the variable showing the difference between confirmed cases and recovered cases (blue line) shows a less pessimistic picture, especially in relation to the number of people living in individual countries affected by the epidemic, as shown in the final figures of this study.
The very strong exponential development of the epidemic ended in February 2020 and hard data do not confirm the extreme panic currently observed in the financial markets, although it is worth noting that the growth dynamics of infected for the last week was about 12% per day.
First, a table showing the daily increase in the number of new confirmed, recovered and deaths cases in absolute and percentage terms:
Table 1. The evolution of the epidemic in all countries.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 782365 | 62248 | 8.64% |
2020-03-29 | 720117 | 59411 | 8.99% |
2020-03-28 | 660706 | 67415 | 11.36% |
2020-03-27 | 593291 | 63700 | 12.03% |
2020-03-26 | 529591 | 61938 | 13.24% |
2020-03-25 | 467653 | 49608 | 11.87% |
2020-03-24 | 418045 | 39810 | 10.53% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 37582 | 3657 | 10.78% |
2020-03-29 | 33925 | 3273 | 10.68% |
2020-03-28 | 30652 | 3454 | 12.7% |
2020-03-27 | 27198 | 3228 | 13.47% |
2020-03-26 | 23970 | 2789 | 13.17% |
2020-03-25 | 21181 | 2556 | 13.72% |
2020-03-24 | 18625 | 2120 | 12.84% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 164566 | 15484 | 10.39% |
2020-03-29 | 149082 | 9667 | 6.93% |
2020-03-28 | 139415 | 8500 | 6.49% |
2020-03-27 | 130915 | 8765 | 7.18% |
2020-03-26 | 122150 | 8363 | 7.35% |
2020-03-25 | 113787 | 5787 | 5.36% |
2020-03-24 | 108000 | 9649 | 9.81% |
The most important observation resulting from this table is the reduction in the dynamics of the daily increase in the number of confirmed cases in the world. These may be the first signs of a stronger slowdown in the epidemic.
Data analysis outside of China prompts slightly more pessimism. Both the number of new cases (red line) and the difference between confirmed cases and recovered cases (blue line) takes on an exponential shape, which in a sense explains the panic reaction of investors, which began on 2/2/2020 and continues to the present. However, it is worth noting here that, outside China, the epidemic started much later and is now in its I phase, which by definition is characterized by high dynamics, at least until decisive measures are taken and will not start working. In addition, the moment of launching the specific actions to mitigate the development of the epidemic and their actual impact on the number of confirmed cases is associated with some natural delay.
Table 2. The evolution of the epidemic outside China.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 700167 | 62172 | 9.74% |
2020-03-29 | 637995 | 59288 | 10.24% |
2020-03-28 | 578707 | 67313 | 13.16% |
2020-03-27 | 511394 | 63585 | 14.2% |
2020-03-26 | 447809 | 61817 | 16.02% |
2020-03-25 | 385992 | 49538 | 14.72% |
2020-03-24 | 336454 | 39717 | 13.38% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 34274 | 3653 | 11.93% |
2020-03-29 | 30621 | 3268 | 11.95% |
2020-03-28 | 27353 | 3451 | 14.44% |
2020-03-27 | 23902 | 3223 | 15.59% |
2020-03-26 | 20679 | 2783 | 15.55% |
2020-03-25 | 17896 | 2552 | 16.63% |
2020-03-24 | 15344 | 2113 | 15.97% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 88643 | 15143 | 20.6% |
2020-03-29 | 73500 | 9185 | 14.28% |
2020-03-28 | 64315 | 8120 | 14.45% |
2020-03-27 | 56195 | 8226 | 17.15% |
2020-03-26 | 47969 | 7955 | 19.88% |
2020-03-25 | 40014 | 5294 | 15.25% |
2020-03-24 | 34720 | 9183 | 35.96% |
The next chart, showing the evolution of the epidemic in China, shows what path the world can take, although this is only one possible scenario. Accurate analysis of data for China indicates inhibition of new coronavirus cases at around 82198 (red line) and a strong increase in recovered cases (currently at level 75923, green line). Current difference between confirmed cases and recovered cases (approx 6275) for China (the blue line) it already shows a very optimistic example of the country in which the epidemic was under control.
So aren’t financial markets just taking into account the extremely negative scenario?
Table 3. The evolution of the epidemic in China.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 82198 | 76 | 0.09% |
2020-03-29 | 82122 | 123 | 0.15% |
2020-03-28 | 81999 | 102 | 0.12% |
2020-03-27 | 81897 | 115 | 0.14% |
2020-03-26 | 81782 | 121 | 0.15% |
2020-03-25 | 81661 | 70 | 0.09% |
2020-03-24 | 81591 | 93 | 0.11% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 3308 | 4 | 0.12% |
2020-03-29 | 3304 | 5 | 0.15% |
2020-03-28 | 3299 | 3 | 0.09% |
2020-03-27 | 3296 | 5 | 0.15% |
2020-03-26 | 3291 | 6 | 0.18% |
2020-03-25 | 3285 | 4 | 0.12% |
2020-03-24 | 3281 | 7 | 0.21% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 75923 | 341 | 0.45% |
2020-03-29 | 75582 | 482 | 0.64% |
2020-03-28 | 75100 | 380 | 0.51% |
2020-03-27 | 74720 | 539 | 0.73% |
2020-03-26 | 74181 | 408 | 0.55% |
2020-03-25 | 73773 | 493 | 0.67% |
2020-03-24 | 73280 | 466 | 0.64% |
Another 7 countries, except China, most affected by the coronavirus epidemic are: United States (161807), Italy (101739), Spain (87956), Germany (66885), France (45170), Iran (41495) and South Korea as an optimistic example (9661). However, the analysis of the development of the epidemic in these countries does not allow drawing clear conclusions as to its further spread. While we can say that the situation was clearly deteriorating in Italy, the USA and Spain, the spread of coronavirus in South Korea has been almost stopped. The data for the following days will only show whether in South Korea we will be dealing with a similar trend as in China, or whether it will be only a temporary stop before the further development of the epidemic. Below are detailed charts for the seven countries mentioned above and Poland.
In the US, as in most European countries, we are seeing a surge in new cases characterizing the I stage of the epidemic. It is a country with currently the highest dynamics of epidemic development, but also the first stage of its development began there at the latest. Again, we see that the dynamics of % of daily growth has been falling significantly, at least for several days.
Table 4. The evolution of the epidemic in United States.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 161807 | 20921 | 14.85% |
2020-03-29 | 140886 | 19408 | 15.98% |
2020-03-28 | 121478 | 19821 | 19.5% |
2020-03-27 | 101657 | 17821 | 21.26% |
2020-03-26 | 83836 | 18058 | 27.45% |
2020-03-25 | 65778 | 12038 | 22.4% |
2020-03-24 | 53740 | 9893 | 22.56% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 2978 | 511 | 20.71% |
2020-03-29 | 2467 | 441 | 21.77% |
2020-03-28 | 2026 | 445 | 28.15% |
2020-03-27 | 1581 | 372 | 30.77% |
2020-03-26 | 1209 | 267 | 28.34% |
2020-03-25 | 942 | 236 | 33.43% |
2020-03-24 | 706 | 149 | 26.75% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 5644 | 2979 | 111.78% |
2020-03-29 | 2665 | 1593 | 148.6% |
2020-03-28 | 1072 | 203 | 23.36% |
2020-03-27 | 869 | 188 | 27.61% |
2020-03-26 | 681 | 320 | 88.64% |
2020-03-25 | 361 | 13 | 3.74% |
2020-03-24 | 348 | 170 | 95.51% |
The strong increase in new cases, with high dynamics, characterizing the I stage of the epidemic with no clear signs of a rapid increase in the number of recovered persons compared to confirmed cases (green line versus red line) ended some time ago and now the dynamics of the growth of new confirmed clearly weakens as shown in both the table below as well as in Figure 7.
Table 5. The evolution of the epidemic in Italy.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 101739 | 4050 | 4.15% |
2020-03-29 | 97689 | 5217 | 5.64% |
2020-03-28 | 92472 | 5974 | 6.91% |
2020-03-27 | 86498 | 5909 | 7.33% |
2020-03-26 | 80589 | 6203 | 8.34% |
2020-03-25 | 74386 | 5210 | 7.53% |
2020-03-24 | 69176 | 5249 | 8.21% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 11591 | 812 | 7.53% |
2020-03-29 | 10779 | 756 | 7.54% |
2020-03-28 | 10023 | 889 | 9.73% |
2020-03-27 | 9134 | 919 | 11.19% |
2020-03-26 | 8215 | 712 | 9.49% |
2020-03-25 | 7503 | 683 | 10.01% |
2020-03-24 | 6820 | 743 | 12.23% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 14620 | 1590 | 12.2% |
2020-03-29 | 13030 | 646 | 5.22% |
2020-03-28 | 12384 | 1434 | 13.1% |
2020-03-27 | 10950 | 589 | 5.68% |
2020-03-26 | 10361 | 999 | 10.67% |
2020-03-25 | 9362 | 1036 | 12.44% |
2020-03-24 | 8326 | 1302 | 18.54% |
The surge in new cases characterizing the I stage of the epidemic, however, the dynamics of development does not increase, and in recent days has even dropped significantly.
Table 6. The evolution of the epidemic in Spain.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 87956 | 7846 | 9.79% |
2020-03-29 | 80110 | 6875 | 9.39% |
2020-03-28 | 73235 | 7516 | 11.44% |
2020-03-27 | 65719 | 7933 | 13.73% |
2020-03-26 | 57786 | 8271 | 16.7% |
2020-03-25 | 49515 | 9630 | 24.14% |
2020-03-24 | 39885 | 4749 | 13.52% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 7716 | 913 | 13.42% |
2020-03-29 | 6803 | 821 | 13.72% |
2020-03-28 | 5982 | 844 | 16.43% |
2020-03-27 | 5138 | 773 | 17.71% |
2020-03-26 | 4365 | 718 | 19.69% |
2020-03-25 | 3647 | 839 | 29.88% |
2020-03-24 | 2808 | 497 | 21.51% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 16780 | 2071 | 14.08% |
2020-03-29 | 14709 | 2424 | 19.73% |
2020-03-28 | 12285 | 2928 | 31.29% |
2020-03-27 | 9357 | 2342 | 33.39% |
2020-03-26 | 7015 | 1648 | 30.71% |
2020-03-25 | 5367 | 1573 | 41.46% |
2020-03-24 | 3794 | 1219 | 47.34% |
In Germany, as in Spain and Italy, we are observing a surge in new cases in absolute terms, which characterizes the I stage of the epidemic, but, as in those countries, the dynamics of new cases growth is beginning to flatten.
Table 7. The evolution of the epidemic in Germany.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 66885 | 4790 | 7.71% |
2020-03-29 | 62095 | 4400 | 7.63% |
2020-03-28 | 57695 | 6824 | 13.41% |
2020-03-27 | 50871 | 6933 | 15.78% |
2020-03-26 | 43938 | 6615 | 17.72% |
2020-03-25 | 37323 | 4337 | 13.15% |
2020-03-24 | 32986 | 3930 | 13.53% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 645 | 112 | 21.01% |
2020-03-29 | 533 | 100 | 23.09% |
2020-03-28 | 433 | 91 | 26.61% |
2020-03-27 | 342 | 75 | 28.09% |
2020-03-26 | 267 | 61 | 29.61% |
2020-03-25 | 206 | 49 | 31.21% |
2020-03-24 | 157 | 34 | 27.64% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 13500 | 4289 | 46.56% |
2020-03-29 | 9211 | 730 | 8.61% |
2020-03-28 | 8481 | 1823 | 27.38% |
2020-03-27 | 6658 | 985 | 17.36% |
2020-03-26 | 5673 | 2126 | 59.94% |
2020-03-25 | 3547 | 304 | 9.37% |
2020-03-24 | 3243 | 2977 | 1119.17% |
In France, as in Germany, we are observing a surge in new cases characterizing the I stage of the epidemic, but again the dynamics of the epidemic’s development have been slowing down for several days.
Table 8. The evolution of the epidemic in France.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 45170 | 4462 | 10.96% |
2020-03-29 | 40708 | 2603 | 6.83% |
2020-03-28 | 38105 | 4703 | 14.08% |
2020-03-27 | 33402 | 3851 | 13.03% |
2020-03-26 | 29551 | 3951 | 15.43% |
2020-03-25 | 25600 | 2978 | 13.16% |
2020-03-24 | 22622 | 2499 | 12.42% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 3030 | 419 | 16.05% |
2020-03-29 | 2611 | 294 | 12.69% |
2020-03-28 | 2317 | 320 | 16.02% |
2020-03-27 | 1997 | 299 | 17.61% |
2020-03-26 | 1698 | 365 | 27.38% |
2020-03-25 | 1333 | 231 | 20.96% |
2020-03-24 | 1102 | 240 | 27.84% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 7964 | 738 | 10.21% |
2020-03-29 | 7226 | 1502 | 26.24% |
2020-03-28 | 5724 | 17 | 0.3% |
2020-03-27 | 5707 | 752 | 15.18% |
2020-03-26 | 4955 | 1048 | 26.82% |
2020-03-25 | 3907 | 657 | 20.22% |
2020-03-24 | 3250 | 1044 | 47.33% |
Further development of the epidemic without clear turning points, although the shape of the curves illustrating the number of new cases indicates a clearly lower dynamics of epidemic development than at the beginning and an attempt to follow the trail of South Korea in which the epidemic expires.
Table 9. The evolution of the epidemic in Iran.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 41495 | 3186 | 8.32% |
2020-03-29 | 38309 | 2901 | 8.19% |
2020-03-28 | 35408 | 3076 | 9.51% |
2020-03-27 | 32332 | 2926 | 9.95% |
2020-03-26 | 29406 | 2389 | 8.84% |
2020-03-25 | 27017 | 2206 | 8.89% |
2020-03-24 | 24811 | 1762 | 7.64% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 2757 | 117 | 4.43% |
2020-03-29 | 2640 | 123 | 4.89% |
2020-03-28 | 2517 | 139 | 5.85% |
2020-03-27 | 2378 | 144 | 6.45% |
2020-03-26 | 2234 | 157 | 7.56% |
2020-03-25 | 2077 | 143 | 7.39% |
2020-03-24 | 1934 | 122 | 6.73% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 13911 | 1520 | 12.27% |
2020-03-29 | 12391 | 712 | 6.1% |
2020-03-28 | 11679 | 546 | 4.9% |
2020-03-27 | 11133 | 676 | 6.46% |
2020-03-26 | 10457 | 832 | 8.64% |
2020-03-25 | 9625 | 712 | 7.99% |
2020-03-24 | 8913 | 982 | 12.38% |
The next chart, illustrating the development of the epidemic in South Korea, indicates the possible stabilization of coronavirus development in this country after its strong initial growth. For now, the evolution of the epidemic resembles charts for China, which is optimistic in the context of a possible scenario for the world.
Table 10. The evolution of the epidemic in South Korea.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 9661 | 78 | 0.81% |
2020-03-29 | 9583 | 105 | 1.11% |
2020-03-28 | 9478 | 146 | 1.56% |
2020-03-27 | 9332 | 91 | 0.98% |
2020-03-26 | 9241 | 104 | 1.14% |
2020-03-25 | 9137 | 100 | 1.11% |
2020-03-24 | 9037 | 76 | 0.85% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 158 | 6 | 3.95% |
2020-03-29 | 152 | 8 | 5.56% |
2020-03-28 | 144 | 5 | 3.6% |
2020-03-27 | 139 | 8 | 6.11% |
2020-03-26 | 131 | 5 | 3.97% |
2020-03-25 | 126 | 6 | 5% |
2020-03-24 | 120 | 9 | 8.11% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 5228 | 195 | 3.87% |
2020-03-29 | 5033 | 222 | 4.61% |
2020-03-28 | 4811 | 283 | 6.25% |
2020-03-27 | 4528 | 384 | 9.27% |
2020-03-26 | 4144 | 414 | 11.1% |
2020-03-25 | 3730 | 223 | 6.36% |
2020-03-24 | 3507 | 598 | 20.56% |
The next chart shows a country that is not at the top of the list for the time being given the number of confirmed cases, but I present it because of my place of residence. The situation in Poland, at least for now, is far from the epidemic observed in many other European countries. Here the question arises whether this is the actual state or only the effect of an insufficient number of tests carried out.
Table 11. The evolution of the epidemic in Poland.
date | confirmed cases | daily increase in comfirmed cases | daily % increase |
---|---|---|---|
2020-03-30 | 2055 | 193 | 10.37% |
2020-03-29 | 1862 | 224 | 13.68% |
2020-03-28 | 1638 | 249 | 17.93% |
2020-03-27 | 1389 | 168 | 13.76% |
2020-03-26 | 1221 | 170 | 16.18% |
2020-03-25 | 1051 | 150 | 16.65% |
2020-03-24 | 901 | 152 | 20.29% |
date | deaths cases | daily increase in deaths cases | daily % increase in deaths cases |
2020-03-30 | 31 | 9 | 40.91% |
2020-03-29 | 22 | 4 | 22.22% |
2020-03-28 | 18 | 2 | 12.5% |
2020-03-27 | 16 | 0 | 0% |
2020-03-26 | 16 | 2 | 14.29% |
2020-03-25 | 14 | 4 | 40% |
2020-03-24 | 10 | 2 | 25% |
date | recovered cases | daily increase in recovered cases | daily % increase in recovered cases |
2020-03-30 | 7 | 0 | 0% |
2020-03-29 | 7 | 0 | 0% |
2020-03-28 | 7 | 0 | 0% |
2020-03-27 | 7 | 0 | 0% |
2020-03-26 | 7 | 0 | 0% |
2020-03-25 | 7 | 6 | 600% |
2020-03-24 | 1 | 0 | 0% |
Before we proceed to the analysis of mortality in individual countries, we must emphasize that for the purposes of this article we will define it in two ways:
and
which will allow us to show the same data in two different shots. In the figures below for individual countries, the first one will be marked in red and the second in black.
It is worth noting here that, despite the fact that the first definition seems to be more correct, when we can accurately connect the confirmed case with its subsequent history (recovery or death), the second one is the one that appears much more frequently in the available citations and closer to the truth in the I stage, when the epidemic develops.
This is undoubtedly due to the fact that at the initial stage of the epidemic development, the first definition can be very misleading (due to the very small number of people reovered and the number of deaths rising rapidly) and can show values greater than 100%, and additionally have very high volatility. Additionally, at the stage of epidemic development (stage I - initial stage), mortality according to the first definition increases very quickly and then the red line moves away from the black line, and then when the epidemic is under control (stage II - final stage) mortality according to the first definition (red line) begins to converge from very high levels to values determined according to the first definition.
An excellent illustration of this reasoning is the mortality evolution chart for China (Figure 16, where it seems that the second stage of epidemic development started at the end of January) and the chart for South Korea (Figure 23, where the second stage of epidemic development started at the beginning of March). In the remaining charts for major European countries, the USA and Iran (Figures 17 to 22), the mutual relationship between the red and black lines indicates the first stage of the epidemic development, which largely explains the panic reaction of financial markets and suggests that soon with the inflow of new data the trend may reverse.
Mortality in the world according to the first definition is currently at the level of 22.84%, , while according to the second definition, more frequently appearing in popular scientific studies it is currently at the level of 4.8%. When considering the mortality, we should focus on these two values and carefully observe the spread between them. In addition, the shape of the curves illustrating the evolution of the mortality rate in accordance with two definitions clearly illustrates the moment of the epidemic transfer from China to other countries in the world (beginning of March, 2020) when the epidemic was practically controlled in China.
For other countries outside of China, the spread in mortality between the two definitions is unfortunately greater, as illustrated in the chart below. According to the second definition, mortality is currently around 38.67%, while according to the first, more restrictive definition it reaches almost 4.9%. In other countries, except China and South Korea, we can talk about the initial development of the epidemic, so at least for now we should focus on the second definition (black line), while the first definition will be the more appropriate at the final stage of the epidemic.
In China, on the basis of available data, the situation seems controlled, regardless of which definition of mortality we look at. According to the first definition, mortality is 4.36%, and according to the second 4.02%, which clearly shows that with proper crisis management, an epidemic does not have to turn into a pandemic causing a global crisis.
The next figures will focus on mortality in countries such as: United States (1.84%), Italy (11.39%), Spain (8.77%), Germany (0.96%), France (6.71%), Iran (6.64%) and South Korea as the second optimistic case (1.64%), in which the most cases have been recorded so far.
The mutual relationship between the red and black lines indicates the initial stage of epidemic development, which at least to some extent explains the panic reaction of the stock exchanges. According to the second definition, the US death rate is currently 1.84%, but what is important we can observe very fast approaching of the red line to the black line what can be regarded as positive factor.
In the case of Italy, the values based on two definitions of mortality again give completely different indications. It should be noted here that at the current stage of data availability and timeliness, the more reliable definition of mortality is definition number 2 (defined by the black line on the chart and currently indicating 11.39%), and the red line, specifically the minimum of its value and 100%, only means the level to which mortality could occur with extremely negative developments.
Mortality in Spain at level 8.77% is only slightly higher than the world average, and the ratio of red and black lines, just like in other European countries, indicates the initial stage of the epidemic.
Mortality in Germany at level 0.96% is very low compared to the world average and again shows that the development of the situation does not have to be as negative as currently assumed by financial markets. The strong increase in the red against the black line illustrates the beginning of the epidemic.
Mortality in Iran is currently at the level of 6.64% which is higher than the world average.
In France, the mortality rate is currently 6.71%, i.e. slightly above the level of the world average, the other conclusions are similar to other European countries.
In South Korea, the mortality rate is currently very low 1.64%, and even more restrictive version (according to definition (1)) currently located at level 3.02%, after a sharp decrease over the last three weeks, has recently fallen to the mortality value calculated as defined (2). This is a very positive example of stopping the epidemic and a country that has gone China’s way.
The next two figures show the collected data according to the first and second definitions of mortality. In practice, it is worth pointing out here that a different number of tests performed in individual countries may have an impact on the number of identified infected and on the identification of deaths caused by coronavirus infection.
The huge variability of the mortality rate calculated according to the first definition shows its low usefulness as a point measure showing the picture of the epidemic. However, its fluctuation in time, and especially a permanent transition from an upward or downward trend, regardless of the level at which it happens, can identify the end of the initial “upward” stage of the epidemic and the beginning of the second “downward” stage of it.
The next graph presents the mortality rate calculated according to the second definition for 9 countries with the highest number of cases, Poland, for the whole world and the world outside of China. The situation presented in the chart does not allow for unambiguous interpretation, apart from the identification of countries with mortality above and below the world average.