The main objective of this paper is to verify if there is a relationship between industrial agglomeration and the prevalence of COVID‐19 and its diffusion within and between the provinces of Morocco. To do so, we used spatial exploratory analysis and spatial econometrics to show that the preponderance of industrial activity in a province has a significant effect on the number of active COVID‐19 cases in that province. On the other hand, we have shown that the spatial diffusion of this effect is not significant, which indicates the appropriateness of the lockdown implemented. We have also shown that age, socio‐economic deficits and habitat conditions are not significant determinants in the onset and spread of the pandemic.

This article estimates the subjective well‐being of the oasis, peripheral and border region of Drâa‐Tafilalet in Morocco through sentiment analysis of its media coverage. We extracted nearly 174,000 articles published between October 1991 and September 2020 from the website of a Moroccan newspaper with a large circulation and detected those covering the region in question. Then, after the preprocessing phase, we analysed the textual data of these articles by determining the sentimental polarity of the words used to build a monthly subjective well‐being indicator for the Drâa‐Tafilalet region. Thus, we identified nine early warnings of local subjective well‐being malaise that were triggered between October 1992 and September 2020.

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