In this 21st century world full of technology and scientific advances, non-pharmaceutical and non-hospital measures are playing a key role in controlling the pandemic generated by SARS-CoV-2. Although taken with different harshness in different countries, it seems undeniable that they work, if we refer to the data. However, the scientific mind accustomed to checking things experimentally has led a research group to analyze contagion data depending on the different measures adopted by the governments. The most detailed study in this regard has been carried out by B. Verheyden's Luxembourg team and published in the prestigious scientific journal Nature in January 2021. They use the infections data of more than 175 countries, almost all of the recognized nations, and have used the mobility data of the citizens available by the GPS of their mobiles from 123 countries.
From the outset, it must be remembered that on the one hand the measures can be very restrictive but that there is always a part of the population that refuses to comply with the rules established by the government of their own country. So no matter how effective these measures are, they will never be 100% effective, which is why the virus has always continued to spread. In this regard, it could be said that the study suffers from not weighing the government measures for the social acceptance they have had, but it is fair to understand that this is almost impossible to model at a mathematical level. Maybe using the number of infractions of those measures for country? Undoubtedly, this added complication would in turn be a source of new discrepancies. At the moment the model works very well and leaves clear results.