SARS-CoV-2, the virus that can cause COVID-19 (the disease), has provided so much data for modeling purposes. I have been having fun analyzing various data sets relating to COVID-19. That sounds morbid but the reality is that the challenge of extracting huge amounts of data and converting that into potential information is rewarding. This blog post is going to be more about charts than words. Charts can tell a story in a different way to words. Charts can also be manipulated to provide misinformation. I trust that the ones I share with you reflect reality and not some mirage.
I will be sharing eight different charts below. When you review and analyze these, I would urge you to ask yourself three questions:
- Which of the waves were bigger per country – the first or second wave?
- Why?
- Was there any relationship between the peaks and troughs of the waves and lockdown stringencies?
I sourced the data used for the charts from www.ourworldindata.org (OWID). This website is a treasure trove of information and in turn sources its data from various credible sources. When creating charts of 7-day moving average deaths (death reporting by day is often noisy, so moving averages are probably smoother), I tried to compare countries which are adjacent to each other and roughly on the same latitudes. The underlying data is from the start of 2020 to 8 March 2021.
First up, let’s compare Czechia (the country with the worst deaths per capita) to its neighbor Austria.
Clearly, the second waves were far more destructive than the first blips. It would appear to the naked eye that the hard lockdown flattened COVID-19 deaths in Czechia but perhaps at the cost of a brutal second wave. Interestingly, the lockdown measures in Austria appear to mirror the death toll except in January and February 2021?
Okay, let’s compare Germany and its neighbor France.
The virus appeared not to ‘listen’ to German authorities as it ripped through the population irrespective of lockdown measures. France has a steeper first wave and the virus reappears later in 2020, as apparently respiratory viruses are wont to do.
Next up is France versus Italy (sounds like a football match?).
I remember the video footage of hospitals in Northen Italy in March 2020 – it was a horror show. Unfortunately, Italy paid a heavy COVID-19 price, with one the worst per capita deaths globally. Have you noticed how the waves in adjacent countries occur in very similar time periods, albeit that the severity may differ?
The patterns in Croatia and Hungary were intriguing, similar to Austria and Czechia.
Unfortunately, both Croatia and Hungary have had very high mortality rates from COVID-19 by global standards. There seems to be a pattern here? Hard lockdowns initially, small first waves and then mayhem in the second wave.
Boris Johnson reportedly said in January 2020 that the best thing for the UK to do would be to ignore the COVID-19 outbreak in China and that an overreaction to the virus may cause more harm than good. Well, we know how that ended. Bonking Boris landed up in ICU in April 2020 and the UK implemented some of the harshest lockdown restrictions known to mankind. Neighbours were encouraged to spy on each other and police enforcement of lockdown rules was a bit too enthusiastic at times.
Here again, COVID-19 deaths occurred irrespective of the draconian quarantine measures in the UK. Mortality rates from or with COVID-19 in Belgium and the UK were both in the top 5 in the world as at February 2021.
I have some friends based in Turkey and I have followed their social media posts over the past couple of months with great interest. Sadly, they too have experienced quarantine measures and were only recently allowed back out on weekends.
I warned you that charts can sometimes deflect from the real story. Well, Bulgaria got blitzed by COVID-19 and by 8 March 2021, the country had recorded 162 deaths per 100,000 population. Turkey fared far better at 35 deaths per 100,000. Bulgaria has a population of ±7 million whereas Turkey is far more populous at 84 million.
You may be having ‘chart fatigue’ at this stage. Bear with me for two more charts and some explosive economic data.
Some media have been very harsh on the Swedish Public Health Agency’s response to COVID-19, calling them reckless for not imposing harder lockdowns. There has been speculation that the Swedish government’s primary strategy in the midst of the virus was for the population to achieve herd immunity. Sadly, Sweden’s mortality rate was 11 times that of its neighbor as at early March 2021.
Ok, last chart for you.
If the data from the USA and Canada does not convince you to question whether lockdown measures have any impact on halting the SARS-CoV-2 virus spreading through the population, then you may be visually impaired. I know the USA is a vast country comprising 50 different states and hence, it may not be accurate to compare the country as whole to other countries. From the published data I have seen, COVID-19 mortality rates have varied from state to state and without much correlation to lockdown measures.
I was intrigued to research whether there was any correlation between COVID-19 outcomes and economic growth/contraction in 2020. I stumbled upon IMF data about long-term GDP data per country including 2020. I tried not to look at Venezuela’s performance but I could not stop myself. That social paradise’s economy contracted by 25% in 2020 after declining 35% the year before. 2018 was slightly better at negative 19.6%. To put that in perspective, if Venezuela’s economy was US$124 billion at the start of 2018, it would have contracted to US$48.6 billion by the end of 2020. Note to Cyril, perhaps don’t ask your Twitter mate, Nicolas Maduro, for economic advice or any other earthly pearls of wisdom.
My hypothesis when analyzing COVID-19 mortality rates and GDP statistics per country was that harsh lockdowns = poor economic outcomes but better healthcare results. I selected 55 countries globally from the IMF and from the OWID website. I tried to focus on the major countries from a population perspective and omitted countries where I suspect truth may be an inconvenient distraction (think Russia). Have a look at the data below regarding the 20 worst affected countries.
Oh my goodness, I was questioning whether I had extracted the appropriate data, so I double checked. Yip, the data accords with the original sources. So how do you explain that 11 of the countries with the worst performing economies in 2020 also had some of the highest COVID-19 mortality? It makes no sense at all. It gets worse.
My hypothesis is now completely threaded. 12 countries whose economies escaped relatively unscathed in 2020 also had very low COVID-19 mortality rates. I am calling on all economists, public health officials, epidemiologists, virologists, actuaries and any credible scientist to explain the above data. Using Excel’s CORREL function, the correlation between COVID-10 outcomes and GDP data for the 55 selected countries, was -91%. Countries with high COVID mortality most of the time had poor economic outcomes in 2020 whilst countries that had low COVID-19 mortality achieved better economically. It is inexplicable to me.
PS, South Africa has had the 27th highest number of COVID-19 deaths per capita and the 40th best GDP result out of the aforementioned 55 countries. Pretty awful, me thinks.
All the best from BeechieB.
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