Key social science priorities for long-term COVID-19 response

Key topics in social science research on COVID-19: An automated literature analysis

BACKGROUND

The COVID-19 pandemic has triggered a significant increase in academic research in the realm of social sciences. As such, there is an increasing need for the scientific community to adopt effective and efficient methods to examine the potential role and contribution of social sciences in the fight against COVID-19.

OBJECTIVES

This study aims to identify the key topics and explore publishing trends in social science research pertaining to COVID-19 via automated literature analysis.

METHODS

The automated literature analysis employed utilizes keyword analysis and topic modelling technique, specifically Latent Dirichlet Allocation, to highlight the most relevant research terms, overarching research themes and research trends within the realm of social science research on COVID-19.

RESULTS

The focus of research and topics were derived from 9733 full-text academic papers. The bulk of social science research on COVID-19 centres on the following themes: 'Clinical Treatment', 'Epidemic Crisis', 'Mental Influence', 'Impact on Students', 'Lockdown Influence' and 'Impact on Children'.

CONCLUSION

This study adds to our understanding of key topics in social science research on COVID-19. The automated literature analysis presented is particularly useful for librarians and information specialists keen to explore the role and contributions of social science topics in the context of pandemics.

ECRIN - CESSDA strategies for cross metadata mappings in selected areas between life sciences and social sciences and humanities

Background: The recent COVID-19 pandemic dramatically underlined the multi-faceted nature of health research, requiring input from basic biological sciences, pharmaceutical technologies, clinical research), social sciences and public health and social engineering. Systems that could work across different disciplines would therefore seem to be a useful idea to explore. In this study we investigated whether metadata schemas and vocabularies used for discovering scientific studies and resources in the social sciences and humanities and in clinical research are similar enough to allow information from different source disciplines to be easily retrieved and presented together. Methods: As a first step a literature search was performed, exemplarily identifying studies and resources, in which data from social sciences and the humanities have been usefully employed or integrated with that from clinical research and clinical trials. In a second step a comparison of metadata schemas and related resource catalogues in ECRIN (European Clinical Research Infrastructure Network) and CESSDA (Consortium of European Social Science Data Archives) was performed. The focus was on discovery metadata, here defined as the metadata elements used to identify and locate scientific resources. Results: A close view at the metadata schemas of CESSDA and ECRIN and the basic discovery metadata as well as a crosswalk between ECRIN and CESSDA metadata schemas have shown that there is considerable resemblance between them. Conclusions: The resemblance could serve as a promising starting point to implement a common search mechanism for ECRIN and CESSDA metadata. In the paper four different options for how to proceed with implementation issues are presented.

Impacts, Diversity, and Resilience of a Coastal Water Small-Scale Fisheries Nexus during COVID-19: A Case Study in Bangladesh

The COVID-19 pandemic has profoundly affected many world regions’ coastal social-ecological systems (SESs). Its extensive consequences have exposed flaws in numerous facets of society, including small-scale coastal fisheries in developing countries. To this extent, by focusing on two coastal districts in Bangladesh, namely Chittagong and Cox’s Bazar, we investigated how the lockdown during COVID-19 impacted small-scale coastal fishers in Bangladesh and which immediate measures are required to develop and implement insights, on the role of the scale of governance attributes, in facilitating or impeding the resilience of small-scale fisheries (SSFs). We analyzed both qualitative and quantitative data obtained through semi-structured, in-depth individual interviews (n = 120). Data were further validated using two focus group discussions in the study areas. The impact of the pandemic on the fishers’ livelihood included halting all kinds of fishing activities; limited time or area for fishing; livelihood relocation or alternative work; low fish price; fewer fish buyers, causing difficulty in selling; and travel or free-movement restrictions. Additionally, the study discovered several coping skills and found that the most prevalent coping strategy against the effect of the COVID-19 pandemic was to take out loans (48%) from different organizations and NGOs and borrow money from relatives, neighbors, friends, or boat owners. Finally, the current research analysis identified possible recommendations to enhance the resilience of coastal fishers during COVID-19, emphasizing arrangements that should be made to provide alternative livelihood opportunities for coastal fishermen via need-based training, technical and vocational education and training, and microcredit to keep them afloat and earning during the pandemic, not relying only on fishing.