Governmental Response to the COVID-19 Pandemic - A Quantitative Ethnographic Comparison of Public Health Authorities’ Communication in Denmark, Norway, and Sweden

Schnaider, Karoline; Schiavetto, Stefano; Meier, Florian; Wasson, Barbara; Allsopp, Benjamin Brink

doi:10.1007/978-3-030-67788-6_28

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Denmark was among the first European countries to install a national lockdown and its rapid response to the first pandemic wave has been summarized as an “act fast and with force” approach, linked to a relatively low mortality rate compared with other European countries (Olagnier and Mogensen, 2020; Schnaider et al , 2021). In addition, the Danish response to the first pandemic wave has been described as supported by broad political consensus and a relatively high level of trust and level of compliance with regulations issued from the state level (Nielsen and Lindvall, 2021; Baekgaard et al , 2020).…”

Section: National Context: a Rapid Response Approachmentioning

confidence: 99%

“…These included services to PWUD. Guidelines included “clear instructions relating to hygiene, social distancing etc” (Schnaider et al , 2021). However, as described by our research participants, official guidelines were often of such a general character that it was largely left to local private and public actors to work out how “critical functions” could be upheld: “We got information from different government agencies”, a leader of a health service told us, “but there wasn’t anything that specifically described ‘this is how you need to do in an organization such as yours’, right?” This new regulatory framework had different effects on street-level bureaucrats’ experiences of lockdown.…”

Section: National Context: a Rapid Response Approachmentioning

confidence: 99%

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Pandemic lockdown as policy window for street-level innovation of health and substitution treatment services for people who use drugs

Nygaard-Christensen

Houborg

2023

DHS

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Purpose This paper aims to examine policy innovation among street-level bureaucrats at low-threshold services to people who use drugs during the COVID-19 pandemic in Denmark. Design/methodology/approach This paper builds on two research projects conducted during the first pandemic lockdown in Denmark. The first is a case study of how COVID-19 impacted on people who use drugs (PWUD) and services for PWUD at the open drug scene in the neighborhood of Vesterbro in Copenhagen. The second is an ethnographic study of how users of services at the intersection of drug use and homelessness were impacted by lockdown. Findings Drawing on Kingdon’s “multiple policy streams” approach, this study shows how lockdown opened a “policy window” for innovating services to people who use drugs. This paper further shows how the pandemic crisis afforded street-level bureaucrats new possibilities for acting as “policy entrepreneurs” in a context where vertical bureaucratic barriers and horizontal cross-sectoral silos temporarily collapsed. Finally, the authors show how this had more lasting effects through the initiation of outreach opioid substitution treatment. Social implications In Denmark, the emergence of a “policy window” for street-level bureaucrats to act as street-level “entrepreneurs” occurred in a context of rapid government response to the pandemic. For crises to act as “policy windows” for innovation depends on strong, preexisting institutional landscapes. Originality/value This paper adds to existing literature on policy innovation during COVID-19 in two ways: methodologically by contributing an ethnographically grounded approach to studying policy innovation and theoretically by examining the conditions that allowed policy innovation to occur.

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Section: National Context: a Rapid Response Approachmentioning

confidence: 99%

Section: National Context: a Rapid Response Approachmentioning

confidence: 99%

Pandemic lockdown as policy window for street-level innovation of health and substitution treatment services for people who use drugs

Nygaard-Christensen

Houborg

2023

DHS

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“…These studies collectively have highlighted themes used in media and crisis communication during pandemics: empathy and emotions, time-framings, individual and collective responsibility, scientific evidence, uncertainty, vagueness, economic aspects, numbers and statistics and cross-country comparison. We chose Sweden and Denmark for the comparative study of crisis communication as they are considered to be culturally and politically similar, however during the early stages of the pandemic, the countries responded very differently to the emerging crisis (Schnaider et al, 2020; see Supporting Information: Appendix A in the supplemental online material for further details on the country contexts and data selection). We focus specifically on the crisis communication during the first phase of the pandemic when knowledge about the crisis was still scarce and the need for social actors to make sense and interpret the crisis was acute (Lindqvist et al, 2020).…”

Section: Social Constructionism and Framing Theorymentioning

confidence: 99%

Framing the Covid‐19 pandemic: A comparative analysis of Swedish and Danish crisis communication

Sørensen

Evensen

2023

Contingencies & Crisis Mgmt

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We explore how Swedish and Danish leaders used framing in crisis communication to mobilize support for their Covid‐19 mitigation policies. This research note is grounded in social constructionism and framing theory, analysing how framing in crisis communication is used as a political tool to justify a chosen pandemic strategy. We employ content analysis to compare Swedish and Danish press conferences during the early stages of the Covid‐19 pandemic. Denmark and Sweden are politically and culturally similar countries; however, in March 2020, they chose radically different strategies to respond to the escalating Covid‐19 pandemic. Denmark was one of the first countries in Europe to initiate a lockdown, whereas Sweden kept much of society open. Our findings indicate that Swedish and Danish leaders strategically used framing in their communication to convey understanding of the pandemic that supported their respective agendas. Furthermore, the study contributes insight on how framing is used to justify or question the basis of decision‐making in crises. We argue that through constructing a sense of urgency and emphasizing the uncertain nature of the crisis, scientific evidence as the appropriate basis of decision‐making is challenged, prompting a discussion about the political nature and responsibilities in crisis management.

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“…Thirdly, Araújo et al [20] revealed that translating the input text into English and then performing the existing sentiment analysis tool can yield more encouraging results. Thus, the GOOG-LETRANSLATE function [40][41][42] for multilingual text translation in Google Sheets was used to translate all posts into English. Finally, the refined posts were calculated by Sen-tiStrength [43][44][45] to generate sentiment scores.…”

Section: Data Collection and Preprocessingmentioning

confidence: 99%

Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis

2022

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Electronic word-of-mouth data on social media influences stock trading and the confidence of stock markets. Thus, sentiment analysis of comments related to stock markets becomes crucial in forecasting stock markets. However, current sentiment analysis is mainly in English. Therefore, this study performs multilingual sentiment analysis by translating non-native English-speaking countries’ texts into English. This study used unstructured data from social media and structured data, including trading data and technical indicators, to forecast stock markets. Deep learning techniques and machine learning models have emerged as powerful ways of coping with forecasting problems, and parameter determination greatly influences forecasting models’ performance. This study used Long Short-Term Memory (LSTM) models employing the genetic algorithm (GA) to select parameters for predicting stock market indices and prices of company stocks by hybrid data in non-native English-speaking regions. Numerical results revealed that the developed LSTMGA model with hybrid multilingual sentiment data generates more accurate forecasting than the other machine learning models with various data types. Thus, the proposed LSTMGA model with hybrid multilingual sentiment analysis is a feasible and promising way of forecasting the stock market.

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Governmental Response to the COVID-19 Pandemic - A Quantitative Ethnographic Comparison of Public Health Authorities’ Communication in Denmark, Norway, and Sweden

Cited by 8 publications

References 21 publications

Pandemic lockdown as policy window for street-level innovation of health and substitution treatment services for people who use drugs

Pandemic lockdown as policy window for street-level innovation of health and substitution treatment services for people who use drugs

Framing the Covid‐19 pandemic: A comparative analysis of Swedish and Danish crisis communication

Using Deep Learning Techniques in Forecasting Stock Markets by Hybrid Data with Multilingual Sentiment Analysis

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