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:

StatisticDiff[0]Diff[1]Diff[2]Diff[3]All
Count38152156
Average7.12326874.506666674
14.3571429
Stdev.a16.76523965.500649315.65685425
14.1439721
Median16.76523965.500649314
12.5
1st quartile9.2591469
3 rd quartile1516.518615.25
Inter Quartile Range5.757.54
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.

CountrymedianRegion
Denmark32Europe
Germany20Europe
Romania20Europe
Russia20CIS
Hungary19Europe
Bulgaria17Europe
Ukraine16Europe
Australia15.5Australasia
Belgium15Europe
Poland15Europe
Argentina15S America
Netherlands14.5Europe
Greece 1414Europe
France14Europe
UK 14Europe
Austria 14Europe
Bangladesh14S Asia
Pakistan14S Asia
Latvia13Europe
Switzerland13Europe
Iran12W Asia
US12N America
Japan12E Asia
Finland11.5Europe
Lithuania11Europe
South Korea11E Asia
Italy10Eirope
Hong Kong10E Asia
Azerbaijan10CIS
Afghanistan9S Asia
Czech Republic8.5E Europe
Nepal8S Asia
South Africa7Africa
Indonesia7SE Asia
Armenia 6CIS
China5E Asia
Spain4Europe
India0S 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 daysItaly Diff = 6 days, 14 daysIran 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 enoughUS Diff= 12days, 14 days, 12 days, 6 daysUK 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 daysRomania Diff = 20 daysSlovakia Diff hard to clearly identifySwitzerland 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 daysSri 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 daysTaiwan 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 daysTajikistan Diff -ve daysUkraine 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 peaksThailand Diff ? difficult to match peaksVietnam Diff ? only 35 deaths



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