Table of Contents
Introduction
This is an attempt to look at the delay between patterns (e.g. peaks, valleys, slopes) in Covid-19 confirmed cases and the resultant patterns in deaths.
Methodology
We are using the Johns Hopkins University (JHU) data compilations of the cumulative confirmed cases and deaths for countries of the world (see https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv and https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv). From these data we extract the data by country and create chats of the daily 7 day smoothed daily confirmed cases and deaths by country organized by region. The charts are created using the Perl Excel package (see https://metacpan.org/pod/Excel::Writer::XLSX::Chart)
The patterns include peaks, valleys (for example Indonesia), and slopes (see for example Australia or Latvia), with peaks being the most common. Problems with identifying corresponding patterns include:
- Peaks that are very broad or not sharp enough (see for example Sweden).
- Peaks which consist of multiple sub-peaks where the sub-peaks for say confirmed cases do not match those for deaths (see for example Hong Kong or Mexico).
- Peaks in deaths that appear to precede the confirmed cases (see for example Tajikistan)
Other matching problems include:
- Countries with sudden step increases in the confirmed cases or deaths or both, presumably to catch up on missed data entry for the country (see for example Ecuador and Kyrgzstan)
- Countries with low statistics, especially for deaths (see for example Taiwan).
- Countries with no deaths reported (see for example Cambodia and Laos).
If one takes the statistics of the Diffs they are seen below:
Statistic | Diff[0] | Diff[1] | Diff[2] | Diff[3] | All |
Count | 38 | 15 | 2 | 1 | 56 |
Average | 7.1232687 | 4.50666667 | 4 | 14.3571429 | |
Stdev.a | 16.7652396 | 5.50064931 | 5.65685425 | 14.1439721 | |
Median | 16.7652396 | 5.50064931 | 4 | 12.5 | |
1st quartile | 9.25 | 9 | 14 | 6 | 9 |
3 rd quartile | 15 | 16.5 | 18 | 6 | 15.25 |
Inter Quartile Range | 5.75 | 7.5 | 4 | 6.25 |
A map of the world countries colored by the median diffs (countries with no Diffs are the same shade as Antarctica) is shown below:
Also the individual Diffs are given in the table below.
Country | median | Region |
Denmark | 32 | Europe |
Germany | 20 | Europe |
Romania | 20 | Europe |
Russia | 20 | CIS |
Hungary | 19 | Europe |
Bulgaria | 17 | Europe |
Ukraine | 16 | Europe |
Australia | 15.5 | Australasia |
Belgium | 15 | Europe |
Poland | 15 | Europe |
Argentina | 15 | S America |
Netherlands | 14.5 | Europe |
Greece 14 | 14 | Europe |
France | 14 | Europe |
UK | 14 | Europe |
Austria | 14 | Europe |
Bangladesh | 14 | S Asia |
Pakistan | 14 | S Asia |
Latvia | 13 | Europe |
Switzerland | 13 | Europe |
Iran | 12 | W Asia |
US | 12 | N America |
Japan | 12 | E Asia |
Finland | 11.5 | Europe |
Lithuania | 11 | Europe |
South Korea | 11 | E Asia |
Italy | 10 | Eirope |
Hong Kong | 10 | E Asia |
Azerbaijan | 10 | CIS |
Afghanistan | 9 | S Asia |
Czech Republic | 8.5 | E Europe |
Nepal | 8 | S Asia |
South Africa | 7 | Africa |
Indonesia | 7 | SE Asia |
Armenia | 6 | CIS |
China | 5 | E Asia |
Spain | 4 | Europe |
India | 0 | S Asia |
The images below show the actual time series of confirmed cases (solid line) and deaths (dashed line) for representative countries and regions of the world. We choose these countries since they have large numbers of confirmed cases, and are expected to have a reasonably good accounting of the cases. The Diff is the approximate number of days prominent matching features in the time series (e.g. peaks, valleys and slopes) of the two cases. In many, but not all cases we identify the matching structures and the Diff in days. You can click on an image to blow up its size and see details.
Northern, Western, Southern Europe, Iran, US and South Africa
Belgium Diff= ?, 15 days | Denmark Diff=32 days | Finland Diff= 14 days, 9 days | Germany Diff =19 days, 21 days |
---|---|---|---|
Greece Diff = 14 days | France Diff= -7 days, 14 days | Italy Diff = 6 days, 14 days | Iran Diff=8days, 12 days |
Netherland Diff = 10 days, 19 days | Latvia Diff 13 days | Lithuania Diff 11 days | South Africa Diff=9 days, 5 days |
Spain Diff= 4 days, to come | Sweden Diff=peaks not sharp enough | US Diff= 12days, 14 days, 12 days, 6 days | UK Diff=14 days, 14 days |
Central Europe
Austria Diff = 9 days, 19 days | Bulgaria Diff = 17 days | Czech Republic Diff = 11 days, 6 days | Hungary Diff = 19 days |
---|---|---|---|
Poland Diff =15 days | Romania Diff = 20 days | Slovakia Diff hard to clearly identify | Switzerland Diff = 14 days, 12 days |
South Asia
Afghanistan Diff 9 days | Bangladesh Diff 19 days, 9 days | Bhutan Diff ? | India Dif f hovers around 0 |
---|---|---|---|
Nepal Diff 8 days | Pakistan Diff 14 days | Sri Lanka Diff ? | |
East Asia and Australasia
Australia Diff = 10 days, 21 days | China Diff = 5 days, 5 days | Hong Kong Diff = 10 days, 10 days, 20 days | Japan Diff = 13 days, 11 days |
---|---|---|---|
South Korea Diff = 11 days | Taiwan Diff = ? | ||
Commonwealth of Independent States (CIS)
Armenia Diff 8 days | Azerbaijan Diff 10 days | Belarus Diff ? | Kazakhstan Diff $ |
---|---|---|---|
Kyrgystan Diff ? | Russia Diff 20 days, 0 days | Tajikistan Diff -ve days | Ukraine Diff 16 days |
Uzbekistan Diff ? | |||
South America and Mexico
Argentina Diff 15 days | Bolivia Diff ? | Brazil Diff ? | Chile Diff ? |
---|---|---|---|
Columbia Diff ? | Ecuador Diff ? | Paraguay Diff ? | Peru Diff ? |
Uruguay Diff ? | Venezuela Diff ? | Mexico | |
South East Asia
Cambodia Diff ?, 0 deaths reported | Indonesia Diff 7 days | Laos Diff ?, 0 deaths reported | Malaysia Diff 2 days |
---|---|---|---|
Phillipines Diff ? difficult to match peaks | Thailand Diff ? difficult to match peaks | Vietnam Diff ? only 35 deaths | |