This paper aims at identifying and explaining the correlation between the Covid-19 and multi-lingualism through cross-country research, drawing on three datasets: WHO data on the expanse of the pandemic, UNESCO… Click to show full abstract
This paper aims at identifying and explaining the correlation between the Covid-19 and multi-lingualism through cross-country research, drawing on three datasets: WHO data on the expanse of the pandemic, UNESCO data on endangered languages, and the LDI (Linguistic Diversity Index). Results establishing a direct correlation between the pandemic and multi-lingualism vary across the countries, except the USA, India, and Brazil. The three countries experiencing the highest global pandemic caseload occupy the top positions in the number of endangered languages and are among the top ten linguistically diverse countries. Drawing from the research findings, the paper addresses the criticality of investing in multi-lingualism and calls for a shift of perspective among policymakers driven by neoliberal rationale towards greater recognition and higher funding for multi-lingual education.
               
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