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Short-time work schemes (STWS) have become a fundamental instrument in Spain to tackle the labour adjustment triggered by the pandemic crisis. The aim of this study was to assess their impact on the labour market, analysing their importance according to activities and territories, aspects that have received very little attention in the existing literature. To this end, we conducted a statistical analysis of information provided by the Spanish Ministry of Inclusion, Social Security and Migration and calculated sectoral and provincial coverage rates. The results confirm that STWS have made it possible to mitigate the impact of the crisis, in contrast to what happened in the financial crisis of 2008, where the application of neoliberal austerity policies came at a high social cost. Accordingly, where a higher level of coverage has been achieved, many tourist provinces on the Mediterranean coast, as well as Madrid and Barcelona, have demonstrated “responsive” behaviour. Thus, although these provinces were the most heavily affected when the pandemic broke out, they have nevertheless achieved a rapid recovery. This contrasts with the more “vulnerable” behaviour of the industrial provinces in the north of Spain, which have been affected by a reduction in demand or problems in global production chains, and where the degree of coverage of this instrument has been lower. [ABSTRACT FROM AUTHOR]

A documentary review was carried out on the production and publication of research papers related to the study of the Digitization of academic content in Higher Education Institutions in Latin America during Covid-19 in the period between 2020 and 2021. The purpose of the bibliometric analysis proposed in this document is to know the main characteristics of the volume of publications registered in the Scopus database during the period 2020-2021 by Latin American institutions, achieving the identification of 345 publications in total. The information provided by this platform was organized using graphs and figures, categorizing the information by Year of Publication, Country of Origin, Area of Knowledge, and Type of Publication. Once these characteristics were described, the position of different authors regarding the proposed topic was referenced through qualitative analysis. Among the main findings of this research, it is found that Mexico was the country with the highest production with 33 publications. The area of knowledge that made the greatest contribution to the construction of bibliographic material referring to the study of the digitization of academic contents by higher education institutions during the Covid-19 pandemic was Social Sciences with 74 published documents, and the type of publication that was most used during the period indicated above was the journal article, representing 60% of the total scientific production. In this sense, the analysis addresses the territorial impacts generated by the digital transformation and the forms of access to the educational system in the framework of the Covid 19 pandemic, thus reconceptualizing the notion of distance and access time to educational institutions. [ABSTRACT FROM AUTHOR]

The unprecedented COVID-19 pandemic is showing dramatic impact across the world. Public health authorities attempt to fight against the virus while maintaining economic activity. In the face of the uncertainty derived from the virus, all the countries have adopted non-pharmaceutical interventions for limiting the mobility and maintaining social distancing. In order to support these interventions, some health authorities and governments have opted for sharing very fine-grained data related with the impact of the virus in their territories. Geographical science is playing a major role in terms of understanding how the virus spreads across regions. Location of cases allows identifying the spatial patterns traced by the virus. Understanding these patterns makes controlling the virus spread feasible, minimizes its impact in vulnerable regions, anticipates potential outbreaks, or elaborates predictive risk maps. The application of geospatial analysis to fine-grained data must be urgently adopted for optimal decision making in real and near-real time. However, some aspects related to process and map sensitive health data in emergency cases have not yet been sufficiently explored. Among them include concerns about how these datasets with sensitive information must be shown depending on aspects related to data aggregation, scaling, privacy issues, or the need to know in advance the particularities of the study area. In this paper, we introduce our experience in mapping fine-grained data related to the incidence of the COVID-19 during the first wave in the region of Galicia (NW Spain), and after that we discuss the mentioned aspects. [ABSTRACT FROM AUTHOR]