🗺 Harta ratei de incidență pe localități 🌄 Locality-level incidence rate map

Recent epidemiological measures in Romania link the level of restrictions to the locality-level infection rate. This shows the number of new cases in the last two weeks, per thousand people (‰). The government has only published locality-level data since early March this year (2021) (but not on the official COVID19 communication site, but in the government’s generic data repository), and there is no official tool where locality -level data could be displayed. Together with other epidemiological and economic indicators, we have already mirrored this data on our COVID-19 – Romanian Economic Impact Monitor.

At the same time, I’ve also created a separate page, where we can only search for locality/settlement-level infection rates. This result is a choropleth map, and it also has a search box to find specific localities. On zoom, the labels of smaller settlements also appear on the map.

🕹 Interactive

We also show the time series data on the COVID-19 – Romanian Economic Impact Monitor, which looks like this for March 👇

The data source for this map was the COVID-19 – Romanian Economic Impact Monitor. I used kepler.gl as the mapping tool. The map configuration file and UAT-level incidence data (for reproduction) can be downloaded here. Locality-level map files by Unitate Administrativ Teritorială (UAT) are not easy to find, this is a good initiative, but there are no locality-level maps here either. The official data should theoretically be here or here, but it seems to be stuck in the last decade, when ESRI ArcGIS was the only map display method and they are in shapefile format (I couldn’t find / download it – despite that even an explainer video was made) . Nothing useful can be found on data.gov.ro either. Eventually, I managed to find downloadable shapefiles here and at Eurostat, trying to bring them into the 21st century. Therefore, I’ve created this folder, where you will find the counties of and the UATs of Romania, formatted as geojson and topojson. Later, I also found the geo-spatial.org site, where you can extract a UAT-level topojson from the source.

🌄 Have fun! 🗺

If you like this stuff follow my GitHubTwitter and Website. Check out more data visualizations over at my Hungarian blog. Or if it helps you a lot, consider a small donation on PayPal or in crypto.


Published by Dénes Csala

AI | DATA | ENERGY | SYSTEMS researcher | thinker | modeler | blogger | traveller https://csaladen.es

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