Handling Public Well-being During the COVID-19 Crisis: Empirical Study With Representatives From Municipalities in Sweden
Bibliographic record
Abstract
BACKGROUND: COVID-19 has had a significant impact on the public's health and well-being due to infections and restrictions imposed during the crisis. Recreational activities are important for the public's well-being; however, the public's safety from the COVID-19 virus is the top priority. Sweden, a country with a decentralized public health and welfare system, relied on less stringent approaches for handling the crisis. The limited restrictions in Sweden allowed recreational activities to take place despite the pandemic, which could be attributed to considerations for the public's well-being. OBJECTIVE: The objective of this study was to investigate municipal approaches for handling and supporting recreational activities during the COVID-19 crisis. METHODS: We conducted an empirical study (qualitative and quantitative), using an online survey for data collection, with 23 participants. They were representatives holding mostly managerial roles in 18 distinct municipalities (18 counties). A thematic analysis was conducted to analyze open-ended responses, and descriptive statistics were used to summarize the closed-ended responses. RESULTS: In this study, we report on the status of municipalities during the COVID-19 pandemic. The highlighted results showed a significant impact on the municipalities as a result of COVID-19, where 78% (18/23) of participants stated significant changes due to the pandemic. Moreover, 91% (21/23) indicated efforts and approaches for supporting recreational activities during COVID-19. Following national guidelines for the public's health and safety was indicated by 78% (18/23) of participants. Information and communications technology (ICT) was considered significant for dealing with COVID-19 according to 87% (20/23) of participants. Our qualitative results further showed details of the public's health and safety considerations, the efforts to support recreational activities particularly for youth, and the role and requirements of ICT. Challenges relating to the usability of ICT were also highlighted. CONCLUSIONS: Despite the critique of Sweden's lenient strategy for handling the COVID-19 crisis, our results showed significant considerations for the public's safety and well-being by the municipalities (regional and local levels) in this study. The Swedish approach to handling the crisis involved trusting the public with safety guidelines in addition to efforts for the public's safety, supporting the public's well-being with approaches for maintaining recreational activities, and giving special care to the youth. Despite having technological solutions in place, challenges in using digital solutions and requirements for future development were noted.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".