COVID-19 in Belgium: is it over yet?

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Introduction

Note 1: The present article has been written on May 22, 2020 and has been updated infrequently. The current situation regarding COVID-19 in Belgium may therefore be different to what is presented below. See my Twitter profile for more frequent updates of the plots.

Note 2: This is a joint work with Prof. Niko Speybroeck, Prof. Catherine Linard, Prof. Simon Dellicour and Angel Rosas-Aguirre.

Belgium recently started to lift its lockdown measures initially imposed to contain the spread of the Covid-19. Following this decision taken by Belgian authorities, we analyze how the situation evolved so far.

Contrarily to a previous article in which I analyzed the outbreak of the Coronavirus in Belgium using the SIR model, in this article we focus on the evolution of the number of:

  • hospital admissions
  • patients in hospitals
  • patients in intensive care
  • new confirmed cases

at the province and national level.

Data is from Sciensano and all plots were created with the {ggplot2} package.

New hospital admissions

Overall

Belgian hospitalisations COVID-19

From the above figure, we see that the rate of hospitalizations continue with a decreasing trend in all provinces (and in Belgium as well).

Download the figure, or see the code.

Update of October 27, 2020:

COVID19 hospitalizations in Belgium

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The detailed situation in Brabant:

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By period

Daily COVID19 hospitalizations in Belgium from March to October 2020

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Update of November 16, 2020:

Daily COVID19 hospitalizations in Belgium by period

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In the first wave, the province of Limburg recorded on average the highest number of COVID19 hospital admissions per million inhabitants. During the second wave, Liège and Hainaut struggled with the highest rates. With two exceptions (Antwerp and Limburg), last month was worse than in March-April. In three provinces (Hainaut, Namur and Liège), the number has more than doubled.

During the period from June 14 to July 15, 2020, the number of COVID19 hospital admissions in Belgium fell to very low relative levels, but we have failed to maintain them. Now that hospital admissions are no longer increasing, we hope that the colors will lighten up again a bit as the end of the year approaches.

Zooming in

Hospital admissions COVID-19 – Belgium

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Download the figure or see the code.

Patients in hospitals

Below the evolution of the number of patients in hospitals in Belgium:

COVID19 patients in hospitals in Belgium

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We see that, as of October 28, 2020, the number of COVID19 patients in Belgian hospitals reached the peak of the first wave. So although patients stay shorter at the hospital during the second wave compared to the first wave, hospitals are still getting crowded.

Therefore, if the number of patients in hospitals follows the same path in the coming weeks, hospitals will quickly become too crowded and will not be able to accept new patients as their maximum capacity will soon be reached (if this is not already the case…).

Patients in intensive care

Below the evolution of COVID19 patients in intensive care in Belgium, with short-term projections and 99% confidence interval:

Evolution of COVID19 patients in intensive care in Belgium

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Short-term projections indicate what may have happened without the slow-down in transmission. This slow-down is positive news.

The maps show total intensive care patients by province if these would have had the Belgian population. Map at the top shows maximum levels in March-April and map at the bottom shows current levels. The maps indicate high intensive care use due to COVID19. In most Belgian provinces, numbers are still higher today than March-April peak numbers.

Observations are in line with other preliminary indications, such as trends of COVID19 hospitalizations (currently relatively volatile), indicating that transmission is slowing down:

Download the figure.

Confirmed cases

Note that the reported number of new confirmed cases is probably underestimated. This number does not take into account undiagnosed (without or with few symptoms) or untested cases. Therefore, figures with number of cases should be interpreted with extreme caution.

By province

New confirmed COVID-19 cases in Belgium

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By age group and sex

Static

Below another visualization of the number of cases by age group and sex in Belgium, for three different periods:

COVID-19 cases by age group and sex in Belgium

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This visualization shows the importance to report ages of cases and not just total number.

Moreover, we see that the distribution of cases per week by age group at the beginning of September is similar than during the summer holidays, but the number of cases per week is higher. The distribution of cases per week by age group at the beginning of September is however different from the “first wave” (period from March 1, 2020 to May 31, 2020). During the fist period, majority of cases were elderly, while at the beginning of September majority of cases are young people. It would be interesting to see how the distribution of cases by age group evolves during winter.

The figure above may be put in relation with the structure of the Belgian population:

Structure of Belgian population (2019)

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Dynamic

Additionally, these can be seen dynamically:

COVID-19 cases by age group and sex in Belgium – dynamic version

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With an update of the second wave:

Age and sex specific incidence per 100 000 of COVID19 cases in Belgium – dynamic version

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By age group, sex and province

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Thanks for reading. We hope that these figures will evolve in the right direction. In the meantime, take care and stay safe!

If you would like to be further updated on the evolution of the COVID-19 epidemic, two options:

  1. visit the blog from time to time, and
  2. join Twitter and follow us: statsandr, NikoSpeybroeck & arosas_aguirre

As always, if you have a question or a suggestion related to the topic covered in this article, please add it as a comment so other readers can benefit from the discussion.

To leave a comment for the author, please follow the link and comment on their blog: R on Stats and R.

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