Skip to end of metadata
Go to start of metadata

Expansion of Coronavirus

Blas MOLA-YUDEGO

As everybody, I am very much concerned about the rapid expansion of the #COVID19. I am no epidemiologist, and there is little I can do myself about it, but to share my personal opinion and to tinker with the data to try to understand how the disease is expanding and how to better prepare us for that. I include the data sources and all figures I can produce, based on the resources available. I must take no responsability on that, as it is my individual work, but of course I try to apply the maximum rigous expected in academic works.

https://www.endcoronavirus.org/

Tracking the evolution

These are a few maps illustrating the global evolution of the disease. This is probably the first time in history we have enormous amounts of real-time data about how the disease is progressing. Probably, the effects of a global world have accelerated the spread of the cases at a speed never seen before. At the same time, the global world is providing an outstanding level of inetgation in the response. This is probably the first time in history the whole research comunity is united to a full commitment againts a single common problem.

Current situation of the COVID19 cases, and trends. The colors represent the slope of the last four days, and it is coded as above 0.1 (dark red, exponential growth), above 0.01 (red, increase between linear and exponential) and green (flat increments, stable stituation). The map combines data from two main sources, worldometer.org and the ata Repository by Johns Hopkins CSSE (data).

Tracking the measures

Effects of the lockdown on the relative daily increment in cases. Strict lockdown measures were taken in Hubei (China) on 23JAN, Italy on 5 MARCH and Spain 14 MARCH (enforced the next day). The trend combines data from several sources, WHO reports, worldometer.org and the Repository by Johns Hopkins CSSE (data). The record 12FEB for Hubei was possibly biased and had to be interpolated between the days before and after, in order to be consistent. Some of the peaks in the Chinese serie can be explained by changes in the methodology.

 

 

Dynamic evolution of the COVID19 cases, and trends by country/state since 21 January 2020. The colors represent the slope of the last four days, and it is coded as above 0.1 (dark red, exponential growth), above 0.01 (red, increase between linear and exponential) and green (flat increments, stable stituation). The map combines data from several sources, WHO reports, worldometer.org and the Repository by Johns Hopkins CSSE (data).

Databases

Here there is a collection of databases at different levels (global, country, regional), as well as datasets for research.