General Practitioner perspectives and wellbeing during the COVID-19 Pandemic: a mixed method social media analysis

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2021, Volume and Issue: unknown

Published: Oct. 22, 2021

Abstract Background General practitioners (GPs) adapted their work practices rapidly in response to the COVID-19 pandemic. Limited research has explored perspectives over this time, and factors that may affect wellbeing. Method We conducted a social media analysis of NHS GPs practising UK during pandemic identify issues which To trends, we assessed 91,034 tweets from 185 on Twitter who posted before pandemic, (January 2019 February 2021). themes related wellbeing, analysed qualitatively 7145 200 GPs. Results identified inter-connecting GP predominately around resources support. Lack personal protective equipment (PPE) testing led discussion safety risk, as well increased workload resulting staff isolating. Expressions low morale feeling undervalued were widespread, perceived lack support government, general public at time shortages high workload. Trends apparent, with emphasis PPE, March May 2020 morale, abuse, ‘closed’ surgeries, testing, flu vaccines overworked September October 2020. From December vaccine dominated posts. Conclusion GPs’ experiences perceptions reflected posts have changed time; resources, negative exacerbated concerns about existing underlying pressures.

Language: Английский

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Cognitive Networks Extract Insights on COVID-19 Vaccines from English and Italian Popular Tweets: Anticipation, Logistics, Conspiracy and Loss of Trust

Big Data and Cognitive Computing, Journal Year: 2022, Volume and Issue: 6(2), P. 52 - 52

Published: May 12, 2022

Monitoring social discourse about COVID-19 vaccines is key to understanding how large populations perceive vaccination campaigns. This work reconstructs popular and trending posts framed semantically emotionally on Twitter. We achieve this by merging natural language processing, cognitive network science AI-based image analysis. focus 4765 unique tweets in English or Italian between December 2020 March 2021. One tweet contained our data set was liked around 495,000 times, highlighting could cognitively affect parts of the population. investigate both text multimedia content build a syntactic/semantic associations messages, including emotional cues pictures. representation indicates online users linked ideas along specific semantic/emotional content. The semantic frame “vaccine” highly polarised trust/anticipation (towards vaccine as scientific asset saving lives) anger/sadness (mentioning critical issues with dose administering). Semantic “vaccine,” “hoax” conspiratorial jargon indicated persistence conspiracy theories extremely posts. Interestingly, these were absent messages. Popular images people wearing face masks used that lacked trust joy found showing no masks. difference negative effect attributed face-covering discourse. Behavioural analysis revealed tendency for share eliciting joy, sadness disgust like sad messages less. Both patterns indicate an interplay emotions diffusion beyond sentiment. After its suspension mid-March 2021, “AstraZeneca” associated trustful driven experts. deaths small number vaccinated mid-March, crucially replacing earlier levels deep sadness. Our results stress networks innovative processing open new ways reconstructing perceptions trust.

Language: Английский

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Psychological Distress Prediction Based on Maladaptive Cognitive Schemas and Anxiety with Random Forest Regression Algorithm

Pharmacophore, Journal Year: 2023, Volume and Issue: 14(5), P. 62 - 69

Published: Jan. 1, 2023

Psychological distress represents a complex and pervasive concern impacting individuals globally, characterized by wide spectrum of emotional, cognitive, physiological experiences.This multifaceted phenomenon is frequently intertwined with the presence maladaptive cognitive schemas heightened levels anxiety, both recognized as contributing factors.Accurate prediction psychological paramount significance for clinicians, researchers, healthcare practitioners it can drive early interventions, personalized treatment plans, optimize resource allocation.This research delves into predictive capabilities anxiety in context distress, employing Random Forest Regression (RFR) algorithm.The RFR algorithm, powerful ensemble learning method, offers potential to comprehensively explore intricate interplay variables predictors, enhancing precision prediction.By harnessing this advanced we seek provide more robust framework understanding, assessing, addressing distress.This aspires illuminate thereby development effective interventions strategies.Ultimately, study holds promise significantly improving our capacity predict intervene cases ultimately well-being efficiency delivery.

Language: Английский

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COVID-19 Information Overload Mediated the Effects of Cross-Channel Information Differences on Health Information Elaboration

Journal of Health Communication, Journal Year: 2023, Volume and Issue: 28(7), P. 401 - 411

Published: May 26, 2023

The COVID-19 pandemic has brought on an unprecedented amount of information about the virus and vaccination, varying significantly across channels. While extant research shows that excessive leads to overload less elaboration, few studies have examined factors associated with elaboration. Considering trend we likely receive same topics from different communication channels daily, this study sought understand how cross-channel differences in were subsequent survey assessed 471 participants' consumption (interpersonal vs. social media), concern quality, overload, health literacy, demographic characteristics February 2021. Our findings confirmed greater was negatively more Using a moderated mediation model, found people who received media, compared those equal amounts both media interpersonal communications, reported Additionally, experienced held quality tended elaborate information. All analyses controlled for literacy. Theoretical practical implications discussed.

Language: Английский

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Resonance+: Operationalizing Protective Action Decision Model for Finding Information Useful for Public Information Officers

ACM Transactions on Social Computing, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 14, 2025

Microblogging platforms have been increasingly used by the public in crisis situations, enabling more participatory communication between official response channels and affected community. However, sheer volume of crisis-related messages on social media can make it challenging for officials to find pertinent information understand public’s perception evolving risks. To address this issue, informatics researchers proposed a variety technological solutions, but there has limited examination cognitive perceptual processes subsequent responses population. Yet, is critical gauge understanding event, their event-related risk, incident recovery efforts, turn craft messaging effectively. Taking cues from Protective Action Decision Model, we conceptualize metric —resonance+ — that prioritizes population, quantifying shifts collective attention exposure each tweet. Based resonance+, develop principled, scalable pipeline recommends content relating people’s processes. Our results suggest resonance+ generalizable across different types natural hazards. We also demonstrated its applicability near-real time scenarios. According feedback target users, local officers (PIOs) emergency management, recommended our are useful tasks finding hopeful narratives, potentially leading effective communications.

Language: Английский

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Analyzing Crowd Emotional Contagion in Metro Emergencies Through the Lens of the Weber–Fechner Law: Predictions Based on Computational Techniques Applied to Science

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1244 - 1244

Published: Jan. 26, 2025

The spread of panic can swiftly trigger group behaviors, leading to public security incidents and significant social hazards. Increasing attention is being paid the impact human psychology behavior on evolution management emergencies. Drawing Weber–Fechner Law, we proposed an emotional contagion model explore dynamics crowd during metro emergencies, focusing interplay levels stimuli. Key influencing factors such as density, personality traits, official interventions, evacuation rates are analyzed. Additionally, a case study conducted validate model’s effectiveness in quantifying emotions characterizing panic. Numerical results reveal that initial intensity stimuli significantly impacts peak levels, while duration plays minor role. Panic intensifies with increased sensitive individuals more susceptible extreme emotions, escalating negative contagion. Official intervention proves crucial mitigating panic, though its effect transient enclosed environments. Evacuation rate minimally affects train’s motion but becomes pivotal post-arrival. Highly panicked passengers evacuate quickly, necessitating timely interventions prevent secondary platforms. This highlights importance immediate, effective control measures manage ensure safety.

Language: Английский

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Negative Perception of the COVID-19 Pandemic Is Dropping: Evidence From Twitter Posts

Frontiers in Psychology, Journal Year: 2021, Volume and Issue: 12

Published: Sept. 28, 2021

The COVID-19 pandemic hit hard society, strongly affecting the emotions of people and wellbeing. It is difficult to measure how has affected sentiment people, not mention responded dramatic events that took place during pandemic. This study contributes this discussion by showing negative perception dropping. By perception, we mean number words users Twitter, a social media platform, employ in their online posts. Seen as aggregate, Twitter are using less evolves. conclusion dropping comes from careful analysis made contents

Language: Английский

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Three dimensions of COVID‐19 risk perceptions and their socioeconomic correlates in the United States: A social media analysis

Risk Analysis, Journal Year: 2022, Volume and Issue: 43(6), P. 1174 - 1186

Published: July 13, 2022

Abstract Social media analysis provides an alternate approach to monitoring and understanding risk perceptions regarding COVID‐19 over time. Our current understandings of do not disentangle the three dimensions (perceived susceptibility, perceived severity, negative emotion) as pandemic has evolved. Data are also limited impact social determinants health (SDOH) on COVID‐19‐related To address these knowledge gaps, we extracted tweets developed indicators for based 502 million geotagged posted by 4.9 Twitter users from January 2020 December 2021 in United States. We examined correlations between perception indicator scores county‐level SDOH. The demonstrate different trajectories. Perceived severity maintained a high level throughout study period. susceptibility emotion peaked March 11, (COVID‐19 declared global WHO) then declined remained stable at lower levels until increasing once again with Omicron Relative frequency tweet posts did closely follow epidemic trends (cases, deaths). Users socioeconomically vulnerable counties showed attention than those wealthier counties. Examining multiple can help policymakers frame in‐time, tailored, appropriate responses prevent viral spread encourage preventive behavior uptake

Language: Английский

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Emotional framing in online environmental activism: Pairing a Twitter study with an offline experiment

Frontiers in Psychology, Journal Year: 2023, Volume and Issue: 13

Published: Jan. 30, 2023

As the consequences of anthropogenic climate change become more apparent, social media has a central tool for environmental activists to raise awareness and mobilize society. In two studies, we examine how emotional framing messages posted by influences engagement behavioral intentions toward action. first study, tweets (N = 510k) 50 between November 2015 December 2020 are examined measure their content its relation tweet diffusion. Environment-related found be shared less they contain positive emotion negative emotion. This result supports negativity bias on media. Study 2 200), experimentally test whether negatively vs. positively framed leads increased reported intent engage with collective action, mood mediates that link. We find both direct indirect effects action when is used as mediator. The resulting from seeing makes participants likely report higher intention (indirect effect)-congruent 1. However, also inclined act (direct effect), indicating suppression effect presence other factors at work pathway information formation. highlights complex multifaceted nature this motivates experimental identify relevant factors, well relate one another.

Language: Английский

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Exploring the exponential sensitivity of risk perception in the COVID‐19 pandemic

Risk Analysis, Journal Year: 2024, Volume and Issue: 44(8), P. 1759 - 1769

Published: Feb. 13, 2024

Individual's risk perception regarding specific hazards is a dynamic process that evolves over time. This study analyzed the relationship between number of COVID-19 cases and South Korean public's perceptions from outset pandemic to recent past. More than 70 repeated cross-sectional surveys were conducted biweekly measure individuals' perception. An autoregressive integrated moving average with explanatory variable time series analysis was used characterize level perceptions. It revealed not linearly related but logarithmically correlated. finding can be understood as psychic numbing effect, suggesting people's linear rather exponentially sensitive changes. The findings also significant influence trust in local governments on their perceptions, highlighting substantial role played by direct management during pandemic.

Language: Английский

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