Modelling livestock infectious disease control policy under differing social perspectives on vaccination behaviour.

The spread of infection amongst livestock depends not only on the traits of the pathogen and the livestock themselves, but also on the veterinary health behaviours of farmers and how this impacts their implementation of disease control measures. Controls that are costly may make it beneficial for individuals to rely on the protection offered by others, though that may be sub-optimal for the population. Failing to account for socio-behavioural properties may produce a substantial layer of bias in infectious disease models. We investigated the role of heterogeneity in vaccine response across a population of farmers on epidemic outbreaks amongst livestock, caused by pathogens with differential speed of spread over spatial landscapes of farms for two counties in England (Cumbria and Devon). Under different compositions of three vaccine behaviour groups (precautionary, reactionary, non-vaccination), we evaluated from population- and individual-level perspectives the optimum threshold distance to premises with notified infection that would trigger responsive vaccination by the reactionary vaccination group. We demonstrate a divergence between population and individual perspectives in the optimal scale of reactive voluntary vaccination response. In general, minimising the population-level perspective cost requires a broader reactive uptake of the intervention, whilst optimising the outcome for the average individual increased the likelihood of larger scale disease outbreaks. When the relative cost of vaccination was low and the majority of premises had undergone precautionary vaccination, then adopting a perspective that optimised the outcome for an individual gave a broader spatial extent of reactive response compared to a perspective wanting to optimise outcomes for everyone in the population. Under our assumed epidemiological context, the findings identify livestock disease intervention receptiveness and cost combinations where one would expect strong disagreement between the intervention stringency that is best from the perspective of a stakeholder responsible for supporting the livestock industry compared to a sole livestock owner. Were such discord anticipated and achieving a consensus view across perspectives desired, the findings may also inform those managing veterinary health policy the requisite reduction in intervention cost and/or the required extent of nurturing beneficial community attitudes towards interventions.

Probable COVID-19 infection is associated with subsequent poorer mental health and greater loneliness in the UK COVID-19 Mental Health and Wellbeing study.

The COVID-19 pandemic has been associated with psychological distress. In addition to physical effects including fatigue and cognitive impairment, contracting COVID-19 itself may also be related to subsequent negative mental health outcomes. The present study reports data from a longitudinal, national survey of the UK adult population investigating whether contracting suspected or confirmed COVID-19 at the early stages of the pandemic (March-May 2020) was associated with poorer mental health outcomes in May/June 2020, October/November 2020 and June/July 2021. A quota survey design and a sampling frame that permitted recruitment of a national sample (n = 3077) were utilised. Experience of contracting COVID-19 during the first UK lockdown was assessed along with levels of depression, anxiety, mental wellbeing and loneliness. Around 9% of participants reported contracting COVID-19 in March/May 2020 (waves 1-3) with just under 13% of the overall sample reporting COVID-19 at any one of the first three time points. Compared to those without probable COVID-19 infection, participants with probable COVID-19 had poorer mental health outcomes at follow-up with these effects lasting up to 13 months (e.g., May/June 2020:ORdepression = 1.70, p < 0.001; ORanxiety = 1.61, p = 0.002; Oct/Nov 2020, ORdepression = 1.82, p < 0.001; ORanxiety 1.56, p = 0.013; June/July 2021, ORdepression = 2.01, p < 0.001; ORanxiety = 1.67, p = 0.008). Having a pre-existing mental health condition was also associated with greater odds of having probable COVID-19 during the study (OR = 1.31, p = 0.016). The current study demonstrates that contracting probable COVID-19 at the early stage of the pandemic was related to long-lasting associations with mental health and the relationship between mental health status and probable COVID-19 is bidirectional.

Information seeking, mental health and loneliness: Longitudinal analyses of adults in the UK COVID-19 mental health and wellbeing study.

Information seeking has generally been seen as an adaptive response to the COVID-19 pandemic. However, it may also result in negative outcomes on mental health. The present study tests whether reporting COVID-related information seeking throughout the pandemic is associated with subsequently poorer mental health outcomes. A quota-based, non-probability-sampling methodology was used to recruit a nationally representative sample. COVID-related information seeking was assessed at six waves along with symptoms of depression, anxiety, mental wellbeing and loneliness (N = 1945). Hierarchical linear modelling was used to assess the relationship between COVID-related information seeking and mental health outcomes. Information seeking was found to reduce over time. Overall, women, older and higher socioeconomic group individuals reported higher levels of information seeking. At waves 1-4 (March-June 2020) the majority of participants reported that they sought information on Covid 1-5 times per day, this decreased to less than once per day in waves 5 and 6 (July-November 2020). Higher levels of information seeking were associated with poorer mental health outcomes, particularly clinically significant levels of anxiety. Use of a non-probability sampling method may have been a study limitation, nevertheless, reducing or managing information seeking behaviour may be one method to reduce anxiety during pandemics and other public health crises.

Information seeking, mental health and loneliness: Longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study

Information-seeking has generally been seen as an adaptive response to the COVID-19 pandemic. However, it may also result in negative outcomes on mental health. The present study tests whether reporting COVID-related information-seeking throughout the pandemic is associated with subsequently poorer mental health outcomes. A quota-based, non-probability-sampling methodology was used to recruit a nationally representative sample. COVID-related information-seeking was assessed at six waves along with symptoms of depression, anxiety, mental wellbeing and loneliness (N = 1945). Hierarchical linear modelling was used to assess the relationship between COVID-related information-seeking and mental health outcomes. Information-seeking was found to reduce over time. Overall, women, older and higher socioeconomic group individuals reported higher levels of information-seeking. At waves 1-4 (March-June 2020) the majority of participants reported that they sought information on Covid 1-5 times per day, this decreased to less than once per day in waves 5 and 6 (July-November 2020). Higher levels of information-seeking were associated with poorer mental health outcomes, particularly clinically significant levels of anxiety. Use of a non-probability sampling method may have been a study limitation, nevertheless, reducing or managing information-seeking behaviour may be one method to reduce anxiety during pandemics and other public health crises.

Mental health and well-being during the second wave of COVID-19: longitudinal analyses of the UK COVID-19 Mental Health and Wellbeing study (UK COVID-MH)

BackgroundWaves 1 to 3 (March 2020 to May 2020) of the UK COVID-19 Mental Health and Wellbeing study suggested an improvement in some indicators of mental health across the first 6 weeks of the UK lockdown;however, suicidal ideation increased.AimsTo report the prevalence of mental health and well-being of adults in the UK from March/April 2020 to February 2021.MethodQuota sampling was employed at wave 1 (March/April 2020), and online surveys were conducted at seven time points. Primary analyses cover waves 4 (May/June 2020), 5 (July/August 2020), 6 (October 2020) and 7 (February 2021), including a period of increased restrictions in the UK. Mental health indicators were suicidal ideation, self-harm, suicide attempt, depression, anxiety, defeat, entrapment, loneliness and well-being.ResultsA total of 2691 (87.5% of wave 1) individuals participated in at least one survey between waves 4 and 7. Depressive symptoms and loneliness increased from October 2020 to February 2021. Defeat and entrapment increased from July/August 2020 to October 2020, and remained elevated in February 2021. Well-being decreased from July/August 2020 to October 2020. Anxiety symptoms and suicidal ideation did not change. Young adults, women, those who were socially disadvantaged and those with a pre-existing mental health condition reported worse mental health.ConclusionsThe mental health and well-being of the UK population deteriorated from July/August 2020 to October 2020 and February 2021, which coincided with the second wave of COVID-19. Suicidal thoughts did not decrease significantly, suggesting a need for continued vigilance as we recover from the pandemic.

Big Changes Start With Small Talk: Twitter and Climate Change in Times of Coronavirus Pandemic.

Behavioural scientists have been studying public perceptions to understand how and why people behave the way they do towards climate change. In recent times, enormous changes to behaviour and people's interactions have been brought about by the worldwide coronavirus disease 2019 (COVID-19) pandemic, unexpectedly and indefinitely; some of which have environmental implications (e.g., travelling less). An innovative way to analyse public perceptions and behaviour is with the use of social media to understand the discourse around climate change. This paper focuses on assessing changes in social media discourse around actions for climate change mitigation over time during the global pandemic. Twitter data were collected at three different points during the pandemic: February (time 1), June (time 2), and October 2020 (time 3). By using machine learning techniques, including recurrent neural networks (RNN) and unsupervised learning Latent Dirichlet Allocation (LDA) topic modelling, we identified tweets mentioning actions to mitigate climate change. The findings identified topics related to "government actions," "environmental behaviours," "sustainable production," and "awareness," among others. We found an increase in tweets identified as "action tweets" relating to climate change for time 2 and time 3 compared with time 1. In addition, we found that the topic of energy seemed to be of relevance within the public's perceptions of actions for climate change mitigation; this did not seem to change over time. We found that the topic of "government actions" was present across all time points and may have been influenced by political events at time 1, and by COVID-19 discourse at times 2 and 3. Moreover, topic changes over time within Twitter indicated a pattern that may have reflected restrictions on mobility as these tended to focus on individual and private sphere behaviours rather than group and public sphere behaviours. Changes in topic patterns may also reflect an increase in salience of certain behaviours (e.g., shopping), which may have received increased attention due to lockdown restrictions. Considering restrictions and adaptability challenges people face in times of a global pandemic may help to identify how to support sustainable behaviour change and the likely persistence of these changes.

Mental health and well-being during the COVID-19 pandemic: longitudinal analyses of adults in the UK COVID-19 Mental Health & Wellbeing study.

BACKGROUND: The effects of coronavirus disease 2019 (COVID-19) on the population's mental health and well-being are likely to be profound and long lasting. AIMS: To investigate the trajectory of mental health and well-being during the first 6 weeks of lockdown in adults in the UK. METHOD: A quota survey design and a sampling frame that permitted recruitment of a national sample was employed. Findings for waves 1 (31 March to 9 April 2020), 2 (10 April to 27 April 2020) and 3 (28 April to 11 May 2020) are reported here. A range of mental health factors was assessed: pre-existing mental health problems, suicide attempts and self-harm, suicidal ideation, depression, anxiety, defeat, entrapment, mental well-being and loneliness. RESULTS: A total of 3077 adults in the UK completed the survey at wave 1. Suicidal ideation increased over time. Symptoms of anxiety, and levels of defeat and entrapment decreased across waves whereas levels of depressive symptoms did not change significantly. Positive well-being also increased. Levels of loneliness did not change significantly over waves. Subgroup analyses showed that women, young people (18-29 years), those from more socially disadvantaged backgrounds and those with pre-existing mental health problems have worse mental health outcomes during the pandemic across most factors. CONCLUSIONS: The mental health and well-being of the UK adult population appears to have been affected in the initial phase of the COVID-19 pandemic. The increasing rates of suicidal thoughts across waves, especially among young adults, are concerning.

Motivators of and barriers to becoming a COVID-19 convalescent plasma donor: A survey study.

OBJECTIVES: To determine the motivators and barriers to COVID-19 convalescent plasma donation by those in the United Kingdom who have been diagnosed with or who have had symptoms of SARS-CoV-2 (COVID-19) but who have not donated. BACKGROUND: Convalescent plasma from people recovered from COVID-19 with sufficient antibody titres is a potential option for the treatment and prevention of COVID-19. However, to date, recruiting and retaining COVID-19 convalescent plasma donors has been challenging. Understanding why those eligible to donate COVID-19 convalescent plasma have not donated is critical to developing recruitment campaigns. METHODS/MATERIALS: A total of 419 UK residents who indicated that they had been infected with COVID-19 and who lived within 50 km of sites collecting COVID-19 convalescent plasma completed an online survey between 25th June and 5th July 2020. Respondents completed items assessing their awareness of convalescent plasma, motivations and barriers to donation and intention to donate COVID-19 convalescent plasma. RESULTS: Awareness of COVID-19 convalescent plasma was low. Exploratory factor analysis identified six motivations and seven barriers to donating. A stronger sense of altruism through adversity and moral and civic duty were positively related to intention to donate, whereas generic donation fears was negatively related. CONCLUSIONS: Once potential donors are aware of convalescent plasma, interventions should focus on the gratitude and reciprocity that those eligible to donate feel, along with a focus on (potentially) helping family and norms of what people ought to do. Fears associated with donation should not be neglected, and strategies that have been successfully used tor recruit whole-blood donors should be adapted and deployed to recruit COVID-19 convalescent plasma donors.

Exploring predictors of Australian community members' blood donation intentions and blood donation-related behavior during the COVID-19 pandemic.

BACKGROUND: With the coronavirus disease 2019 (COVID-19) pandemic continuing to accelerate and blood collection agencies (BCAs) warning of shortages, it is critical to identify the current determinants of donor behavior for donors and nondonors. STUDY DESIGN AND METHODS: In May and June 2020, Australian residents who believed themselves eligible to donate blood responded to measures assessing constructs from an integrated protection motivation theory, organizational trust, and theory of planned behavior framework, with donor status also assessed. RESULTS: A total of 507 residents (47% male, mean age 28.69 years; 272 had donated/attempted to donate) participated. A revised structural equation model was a good fit to these data. In this model, perceived risk, severity, anxiety, and response cost associated with donating during the COVID-19 pandemic underpinned threat appraisals, while response efficacy, self-efficacy, and attitude toward donating during COVID-19 informed coping appraisals. Trust in the BCA predicted lower threat and higher coping appraisals, and higher coping appraisals predicted stronger subjective norms. Intention to donate during the COVID-19 pandemic was positively predicted by subjective norm and self-efficacy. Donation-related behavior was positively predicted by intention, with this relationship stronger for nondonors than donors. CONCLUSION: Self-efficacy and approval from others, underpinned by coping appraisals and organizational trust, play a critical role in intentions to donate. BCAs that focus on maintaining trust with (potential) donors, providing clear messaging stating the minimal threat of contracting COVID-19 from donating and the protective measures in place, and showing how donating is achievable, may help to ensure a safe and secure blood supply throughout the COVID-19 pandemic.