
This document presents aggregate results of comparative Horizon Scanning on the socioeconomic effects of COVID-19 in 15 countries from the Global South, with a focus on Informal Economy. Through a set of keywords adapted to each country, the PRESILIENT team collected three corpora of documents for each country: 50 academic references, 50 news of media entries, and 50 grey literature references. Through a supervised topic detection method on the three corpora combined in a single dataset, this document presents a comparative overview of the main results, with details for each country. The analyses show a divergence between the news corpus compared with the academic and grey literature references, a country-specific variation, but also common trends.
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
