Citizenship under COVID-19: An analysis of UK political rhetoric during the first wave of the 2020 pandemic.
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ABSTRACT:
SUBMITTER: Andreouli E
PROVIDER: S-EPMC8251087 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:This article maps political rhetoric by national leaders during the COVID-19 pandemic. We identify and characterize global variations in major rhetorical storylines invoked in publicly available speeches (N = 1201) across a sample of 26 countries. Employing a text analytics or corpus linguistics approach, we show that state heads rhetorically lead their nations by: enforcing systemic interventions, upholding global unity, encouraging communal cooperation, stoking national fervor, and assuring responsive governance. Principal component analysis further shows that country-level rhetoric is organized along emergent dimensions of cultural cognition: an agency-structure axis to define the loci of pandemic interventions and a hierarchy-egalitarianism axis which distinguishes top-down enforcement from bottom-up calls for cooperation. Furthermore, we detect a striking contrast between countries featuring populist versus cosmopolitan rhetoric, which diverged in terms of their collective meaning making around leading over versus leading with, as well as their experienced pandemic severity. We conclude with implications for understanding global pandemic leadership in an unequal world and the contributions of mixed-methods approaches to a generative political psychology in times of crisis.
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Project description:Research shows that emotions matter in politics, and they matter during a public health crisis. Yet, a comprehensive analysis of emotional political rhetoric during the COVID‐19 crisis is still missing. Based on parties' position in the political arena (government versus populist radical parties), I expect differences in how specific emotions are employed and in how these messages actually influence the public. To test my hypotheses, I use word embeddings and neural network classifiers to measure fear and hope appeals in social media messages of political parties in four European countries. Furthermore, I rely on more than 1,400,000 public tweets of random citizens to estimate the impact of party messages. To do so, I employ vector autoregression (VAR) analysis to compare retweet volumes of political messages to emotional expressions in public tweets. Results indicate two main findings, (1) populist radical parties communicate less about the pandemic and decrease fear and increase hope appeals while COVID case numbers are rising whereas government parties exhibit the opposite pattern; (2) increased diffusion of party tweets consistently precedes change in partisans' emotional expressions the following day. The findings can carry important implications for (affective) polarization and the level of protective behavior among the population.
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Project description:'Science' is a proportionately small but recurring constituent in the rhetorical lexicon of political leaders. To evaluate the use of science-related content relative to other themes in political communications, we undertake a statistical analysis of keywords in U.S. Presidential State of the Union (SOTU) addresses and Presidential Budget Messages (PBM) from Truman (1947) to Trump (2020). Hierarchical clustering and correlation analyses reveal proximate affinities between 'science' and 'research', 'space', 'technology', 'education', and 'climate'. The keywords that are least correlated with 'science' relate to fiscal ('inflation', 'tax') and conflict-related themes ('security', 'war', 'terror'). The most ubiquitous and frequently used keywords are 'economy' and 'tax'. Science-related keywords are used in a positive (promotional) rhetorical context and thus their proportionality in SOTU and PBM corpora is used to define fields of science advocacy (public perception advocacy, funding advocacy, advocacy) for each president. Monte Carlo simulations and randomized sampling of three elements: language (relative frequency of usage of science-related keywords), funding (proposed funding and allocated discretionary funding of science agencies), and actions (e.g. expediency of science advisor appointments, (dis-) establishment of science agencies) are used to generate a science advocacy score (SAS) for each president. The SAS is compared with independent survey-based measures of political popularity. A myriad of political, contextual, and other factors may contribute to lexical choices, policy, and funding actions. Within this complex environment 'science' may have political currency under certain circumstances, particularly where public and political perceptions of the value of science to contribute to matters of priority align.Supplementary informationThe online version contains supplementary material available at 10.1007/s10669-022-09875-x.
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Project description:Politicians have always been fascinated by the power of language and rhetoric in their quest to influence voters. For decades, ethnic-based political rhetoric has dominated African politics. In Kenya, the rhetoric of "Hustler versus Dynasty (HvD)," coupled with a powerful personal narrative is shifting the debate from ethnic to class-based politics setting up a face-off between the rich and poor. In light of the fierce competition between "hustlers" and "dynastic elites," this study aims to investigate the media role in popularization and framing of Hustler versus Dynasty rhetoric, risks of class-based social conflict, lessons and future implication of this rhetorical approach for Kenya and other Africa societies. Using an online survey of 140 Kenyans, the results indicate that the media has popularized the rhetoric by making it the center of their agenda through episodic and thematic framing. This has earned 'hustler narrative' massive support particularly among the poor and unemployed youth creating fears of social conflict in future. The rhetorical approach has created a new class-based voting pattern (2022 elections). The effectiveness of Hustler-versus-Dynasty class-based approach in mobilization and persuasion in Kenya means it could be replicated by other countries struggling with powerful political dynasties in Africa and beyond.Supplementary informationThe online version contains supplementary material available at 10.1007/s43545-022-00541-2.
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Project description:We evaluated the impact of the new coronavirus disease (COVID-19) on healthcare access in Japan in terms of the number of outpatients and hospitalized patients as well as the length of hospital stays, during the first wave of the pandemic, up to June 2020. This observational study evaluated the monthly average number of outpatients per day at hospitals, the average number of hospitalized patients per day, and the average length of hospital stays per patient, from December 2010 to June 2020, using the hospital reports data, which are open aggregated data on the utilization of hospitals from the Ministry of Health, Labour and Welfare. These numbers were compared with those from the same period of previous years, using a quasi-Poisson regression model. We found a nationwide decrease in the number of outpatients in general hospitals and hospitalized patients, particularly in long-term care beds in Japan, as well as the excess length of hospital stays among psychiatric care patients during the first wave of the COVID-19. This limited access to healthcare demonstrated the importance of the long-term health monitoring of vulnerable populations and the need for urgent management support to healthcare facilities in preparation for possible prolonged pandemics in the future.
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Project description:We use data from the UK Household Longitudinal Study (UKHLS) to compare measures of socioeconomic inequality in psychological distress, measured by the General Health Questionnaire (GHQ), before (Waves 9 and the Interim 2019 Wave) and during the first wave of the COVID-19 pandemic (April to July 2020). Based on a caseness measure, the prevalence of psychological distress increased from 18.5% to 27.7% between the 2019 Wave and April 2020 with some reversion to earlier levels in subsequent months. Also, there was a systematic increase in total inequality in the Likert GHQ-12 score. However, measures of relative socioeconomic inequality have not increased. A Shapley-Shorrocks decomposition analysis shows that during the peak of the first wave of the pandemic (April 2020) other socioeconomic factors declined in their share of socioeconomic inequality, while age and gender account for a larger share. The most notable increase is evident for younger women. The contribution of working in an industry related to the COVID-19 response played a small role at Wave 9 and the Interim 2019 Wave, but more than tripled its share in April 2020. As the first wave of COVID-19 progressed, the contribution of demographics declined from their peak level in April and chronic health conditions, housing conditions, and neighbourhood characteristics increased their contributions to socioeconomic inequality.
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Project description:COVID-19 dramatically influenced mortality worldwide, in Italy as well, the first European country to experience the Sars-Cov2 epidemic. Many countries reported a two-wave pattern of COVID-19 deaths; however, studies comparing the two waves are limited. The objective of the study was to compare all-cause excess mortality between the two waves that occurred during the year 2020 using nationwide data. All-cause excess mortalities were estimated using negative binomial models with time modeled by quadratic splines. The models were also applied to estimate all-cause excess deaths "not directly attributable to COVD-19", i.e., without a previous COVID-19 diagnosis. During the first wave (25th February-31st May), we estimated 52,437 excess deaths (95% CI: 49,213-55,863) and 50,979 (95% CI: 50,333-51,425) during the second phase (10th October-31st December), corresponding to percentage 34.8% (95% CI: 33.8%-35.8%) in the second wave and 31.0% (95%CI: 27.2%-35.4%) in the first. During both waves, all-cause excess deaths percentages were higher in northern regions (59.1% during the first and 42.2% in the second wave), with a significant increase in the rest of Italy (from 6.7% to 27.1%) during the second wave. Males and those aged 80 or over were the most hit groups with an increase in both during the second wave. Excess deaths not directly attributable to COVID-19 decreased during the second phase with respect to the first phase, from 10.8% (95% CI: 9.5%-12.4%) to 7.7% (95% CI: 7.5%-7.9%), respectively. The percentage increase in excess deaths from all causes suggests in Italy a different impact of the SARS-CoV-2 virus during the second wave in 2020. The decrease in excess deaths not directly attributable to COVID-19 may indicate an improvement in the preparedness of the Italian health care services during this second wave, in the detection of COVID-19 diagnoses and/or clinical practice toward the other severe diseases.
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Project description:In the UK, discussion of good citizenship during the COVID-19 pandemic largely focused on compliance and non-compliance with government rules. In this paper, we offer an alternative point of focus. Pandemic governance proceeded not only through rules/morality, but also through freedom/ethics. Good citizenship, therefore, involved practical reasoning in response to situations. We demonstrate this using diaries and other forms of writing collected by Mass Observation during the first six months of the pandemic. Responses to government rules and guidance varied by situation. Many people found governance through freedom/ethics confusing and burdensome. Faced with ethical dilemmas, they managed risks and responsibilities by deliberating, weighing justifications, and sometimes falling back on rules of thumb or heuristics. Discussion of good citizenship during future emergencies would benefit from a greater focus on situations, dilemmas, and justifications.
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Project description:BackgroundThe novel coronavirus disease 2019 (COVID-19) pandemic has spread from China to the rest of the world. Africa seems less impacted with lower number of cases and deaths than other continents. Senegal recorded its first case on March 2, 2020. We present here data collected from March 2 to October 31, 2020 in Senegal.MethodsSocio-demographic, epidemiological, clinical and virological information were collected on suspected cases. To determine factors associated with diagnosed infection, symptomatic disease and death, multivariable binary logistic regression and log binomial models were used. Epidemiological parameters such as the reproduction number and growth rate were estimated.Results67,608 suspected cases were tested by the IPD laboratories (13,031 positive and 54,577 negative). All age categories were associated with SARS-CoV-2 infection, but also patients having diabetes or hypertension or other cardiovascular diseases. With diagnosed infection, patients over 65 years and those with hypertension and cardiovascular disease and diabetes were highly associated with death. Patients with co-morbidities were associated with symptomatic disease, but only the under 15 years were not associated with. Among infected, 27.67% were asymptomatic (40.9% when contacts were systematically tested; 12.11% when only symptomatic or high-risk contacts were tested). Less than 15 years-old were mostly asymptomatic (63.2%). Dakar accounted for 81.4% of confirmed cases. The estimated mean serial interval was 5.57 (± 5.14) days. The average reproduction number was estimated at 1.161 (95%CI: 1.159-1.162), the growth rate was 0.031 (95%CI: 0.028-0.034) per day.ConclusionsOur findings indicated that factors associated with symptomatic COVID-19 and death are advanced age (over 65 years-old) and comorbidities such as diabetes and hypertension and cardiovascular disease.
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