The current outbreak of coronavirus disease (COVID-19) that was first reported from Wuhan, China, on 31 December 2019. On 27 February 2019, a patient in The Netherlands was diagnosed with the coronavirus (COVID-19), according to the RIVM (National Institute for Public Health and the Environment). Within a week, more than a hundred cases were confirmed. The RIVM reports the number of positive cases on its website.
Since 3 March, RIVM reports the number of diagnoses with the coronavirus and their municipality of residence on a daily base. The data contains the total number of positively tested patients. It is not a dataset with the current number of sick people in the Netherlands. The RIVM does not currently provide data on people who have been cured. The raw numbers can be found on the government-owned website https://www.volksgezondheidenzorg.info. The most recent numbers can be found at https://www.rivm.nl/coronavirus-kaart-van-nederland.
At the moment of writing, RIVM and https://www.volksgezondheidenzorg.info don't publish datasets with the date of diagnosis on their websites. Therefore, it is hard to get an overview of development in time (and municipality). This information is important to journalists and scientists as well as for the public. Therefore, this project downloads the latest numbers from the website of the RIVM every hour and pushes the data to this repo. Please see the folder raw_data/ for the non-processed data downloaded from RIVM. The folder data/ contains processed datasets ready to use for analysis.
Datasets:
- ๐ RIVM Coronavirus counts in The Netherlands
- ๐ RIVM Coronavirus fatalities in The Netherlands
- ๐ RIVM Coronavirus hospitalizations in The Netherlands
- ๐ RIVM Coronavirus counts in The Netherlands for each municipality [long format] [wide format]
For academic use, please use and see the section License and academic use
Help on this project is appreciated. We are looking for new graphs, maps, enriched datasets and interactive visualisations. Please report issues in the Issue Tracker. Want to contribute? Please check out the help wanted
tag in the Issue Tracker.
See https://github.com/J535D165/CoronaWatchNL/actions and /.github/workflows for technical details regarding data collection and scheduling.
The following graphs show the development of Coronavirus on a daily basis. The underlying data can be found in data/rivm_corona_in_nl.csv. The graphs are updated on an hourly basis and were generated automatically. Please validate the numbers in the graphs before publishing. See the license section for information about sharing the graphs.
The first predictions are based on exponential growth model.
Note, however that the data no longer behave exponentially. If we plot them on a log axis they deviate from the line quite drastically!
Thus we try to fit a sigmoidal curve. One way to fit this, is to first estimate the growth rate, which we define here as the ratio of new cases over previous new cases. Once this growth rate reaches 1, it is likely that the data will stop following an exponential pattern and will taper down into a sigmoid curvature.
Here is the development of the growth factor over time, with a linear model fit to try to estimate when the inflection point will occur (or has occurred).
This then results in the following sigmoidal fit:
For more information about this approach, please watch the YouTube video that inspired this approach, by Grant Sanderson (3Blue1Brown).
- https://medium.com/@tomaspueyo/coronavirus-act-today-or-people-will-die-f4d3d9cd99ca
- http://www.casperalbers.nl/nl/post/2020-03-11-coronagrafieken/
- https://worktimesheet2014.blogspot.com/2020/03/coronovirus-in-netherlands-power-bi.html (Made with CoronaWatchNL data)
- https://www.youtube.com/watch?v=Kas0tIxDvrg
The graphs and data are licensed CC0. The original data is copyright RIVM.
For academic use, use presistent data from . This is a persistent copy of the data. Version number refer to the date. Please cite:
De Bruin, J. (2020). Number of diagnoses with coronavirus disease (COVID-19) in The Netherlands (Version v2020.3.15) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.3711575
Please reach out at [email protected]