Risk Perception and Protective Behaviors Against covid-19 in Higher Education Students: The Mediating Role of Fea / Percepção de risco e comportamentos de proteção face à covid-19 em estudantes do ensino superior: o papel mediador do medo / Percepción del riesgo y conductas protectoras frente al covid-19 en estudiantes de enseñanza superior: el papel mediador del miedo

O estudo tem como objetivo descrever os comportamentos de proteção adotados por estudantes portugue-ses do ensino superior durante a pandemia e analisar a sua relação com a percepção de risco e o papel mediador do medo face à covid-19. Participaram 335 estu-dantes com idades entre os 18 e os 29 anos (m= 21.42; dp= 2.43). Os participantes preencheram um inquérito sobre os comportamentos de proteção (i.e., preventi-vos e de evitamento), a percepção de risco e o medo face à covid-19. Os resultados demonstraram que os comportamentos preventivos mais utilizados foram a lavagem/desinfecção das mãos ao longo do dia e o uso de máscara na via pública ou espaços exteriores. Os comportamentos de evitamento mais adotados foram o de evitar locais com aglomeração e os convívios presenciais com colegas/amigos. Verificouse uma as-sociação positiva entre os comportamentos de proteção, a percepção de gravidade e o medo face à covid-19. O medo face à covid-19 foi mediador da relação entre a percepção de gravidade e os comportamentos preventivos (c' = .26, ic 95% [.11; .44]) e de evitamento (c' = .28, ic 95% [.12; .50]). Os resultados são discutidos aten-dendo ao papel da percepção de risco e do medo nas respostas comportamentais dos jovens, num contexto de pandemia, sendo apresentadas implicações práticas e sugestões para estudos futuros.

El estudio tiene como objetivo describir las conductas protectoras adoptadas por los estudiantes portugueses de educación superior durante la pandemia, y analizar su relación con la percepción de riesgo y el papel mediador del miedo al covid-19. Participaron en el estudio 335 estudiantes de entre 18 y 29 años (m = 21.42; ds = 2.43). Los participantes completaron una encuesta sobre conductas protectoras (es decir, preventivas y de evitación), percepción de riesgo y miedo al covid-19. Los resultados mostraron que las conductas preventivas más utilizadas fueron el lavado/desinfección de manos a lo largo del día y el uso de mascarilla en la vía pública o al aire libre. Los comportamientos de evitación más adoptados fueron evadir lugares con reuniones e interacciones cara a cara con compañeros/amigos. Hubo una correlación positiva entre las conductas protectoras, la percepción de seriedad y el miedo al covid-19. También se encontró que el miedo al covid-19 medió la relación entre la percepción de severidad y las conductas preventivas (c' = .26, ic 95% [.11; .44]) y de evitación (c' = .28, ic 95% [.12; .50]). Los resultados se discuten considerando el papel de la percepción del riesgo y el miedo en las respuestas conductuales de los jóvenes en un contexto pandémico, así mismo se presentan impli-caciones prácticas y sugerencias para estudios futuros.

The study aims to describe the protective behaviors adopted by Portuguese higher education students in during the and to analyze their relationship with the perception of risk and the mediating role of fear of covid-19. A total of 335 students aged be-tween 18 and 29 participated in the study (m= 21.42; sd = 2.43). Participants completed a survey on protective (i.e., preventive and avoidance) behaviors, risk perception, and fear of covid-19. The results showed that the most used preventive behaviors were hand washing/disinfection throughout the day and using masks in public streets or outdoor spaces. The most adopted avoidance behaviors were avoiding crowded places and face-to-face interactions with colleagues/friends. There was a positive correlation between pro-tective behaviors, the perception of severity, and fear of covid-19. Fear of covid-19 mediated the relation between the perception of severity and both preventive (c' = .26, ic 95% [.11; .44]) and avoidance (c' = .28, ic95% [.12; .50]) behaviors. The results are discussed considering the role of risk perception and fear in the behavioral responses of young people in a pandemic context while presenting practical implications and suggestions for future studies.

Impact of the COVID-19 pandemic on a healthy and physically active person. Case report and update of the main findings / Impacto de la pandemia por COVID-19 en persona sana y físicamente activa. Reporte de un caso y actualización de los principales hallazgos

Introducción. No todas las personas expuestas al COVID-19 desarrollan una en-fermedad respiratoria grave y el número de personas adultas jóvenes sin patologías previas, afectadas gravemente por el virus, viene en aumento. Se ha evidenciado un gran número de síntomas inespecíficos y complicaciones, posterior a la recuperación. Objetivo. Evaluar las repercusiones en un sujeto sano y físicamente activo que pre-sentó complicaciones médicas graves y complicaciones posteriores al COVID-19. Reporte de caso. Hombre de 41 años de edad, físicamente activo y sin enfermeda-des conocidas, en quien se documenta infección por SARS-CoV2 con prueba PCR positiva. Requirió 22 días en UCI, 17 días en hospitalización general, 57 días de incapacidad y posterior a doce meses presenta pérdida evidente de peso y de memo-ria, dificultad para pensar y concentrarse, pérdida de masa muscular, compromiso de la función hepática, cansancio y fatiga, dolor muscular, problemas para dormir, cambios en el estado de ánimo y alteraciones del gusto. De acuerdo con los actuales hallazgos, la producción de un tipo de anticuerpo impide que el sistema inmune ten-ga una respuesta adecuada contra la enfermedad. Sumado a esto, se ha descrito una nueva puerta de entrada del virus en el organismo: la proteína neuropilina-1 (NRP1), además de la posible disminución del surfactante que permite la flexibilidad de los pulmones. Lo anterior podría dar respuestas a las complicaciones en personas sanas y físicamente activas posterior a la infección por COVID-19. Conclusiones. Entendiendo que el COVID-19 es una enfermedad reciente, aún hay mucha información por recolectar para así entender su comportamiento en el cuerpo humano. Sin embargo, las investigaciones van dando evidencia del porqué el COVID-19 puede generar graves complicaciones médicas en personas sanas y físicamente activas. Son necesarias más investigaciones con esta población, para así realizar planteamientos de manejo clínico acordes a la enfermedad y evitar desenlaces fatales.

Introduction. Not all people exposed to COVID-19 develop a severe respiratory disease and the number of young adults without previous pathologies, seriously af-fected by the virus, is increasing. Many of non-specific symptoms and complications have been evidenced after the recovery. Objective. To evaluate the repercussions in a healthy and physically active subject who presented serious medical complications and post-COVID-19 complications.Case report. A 41-year-old man, physically active and without known diseases, in whom SARS-CoV2 infection with a positive PCR test is documented. He required 22 days in the ICU, 17 days in general hospitalization, 57 days of disability and after twelve months there is evident weight and memory loss, difficulty thinking and con-centrating, loss of muscle mass, compromised liver function, tiredness and fatigue, muscle pain, sleep problems, changes in mood, and alterations in the taste. According to the current findings, the production of a type of antibody prevents the immune system from having an adequate response against the disease. In addition to this, a new gateway for the virus into the body has been described: the protein neuropilin- 1 (NRP1), as well as the possible decrease in surfactant that allows the flexibility of the lungs. This could provide answers to complications in healthy and physically active people after COVID-19 infection. Conclusions. Understanding that COVID-19 is a recent disease, there is still a lot of information to collect to understand its behavior in the human body. However, research is providing evidence on why COVID-19 can cause serious medical compli-cations in healthy and physically active people. Understanding that it is a multifac-torial situation, more research is necessary with this population in order to carry out clinical management approaches according to the disease and avoid fatal outcomes.

COVID-19: a pilot study on mask-wearing behavior in Maputo city / COVID-19: estudo piloto sobre o comportamento de uso de máscara na cidade de Maputo / COVID-19: estudio piloto de la conducta de uso de mascarilla en la ciudad de Maputo

Objetivo: O presente estudo piloto investigou o comportamento de uso de máscaras para a prevenção da COVID-19, tendo como objetivo determinar a magnitude do uso de máscaras em espaços públicos. Métodos: Trata-se de um estudo quantitativo de caráter prospectivo, realizado na cidade de Maputo, Moçambique, em fevereiro de 2020, com recurso da técnica de observação sistemática, através do uso de uma plataforma eletrônica de recolha de dados construído no Google Forms©, visando obter dados como o local, o sexo, o uso ou não de máscaras, bem como a forma de uso desta. A amostragem apresentou-se como aleatória sistemática, contando com uma amostra de 1.020 indivíduos, obtida em dois terminais de transporte rodoviário e um mercado, caracterizados por grandes aglomerações. Os dados colhidos passaram por análises de estatística descritiva, ANOVA e Teste T para amostras independentes. Resultados: Verificou-se que 72,9% (744) dos indivíduos traziam máscara, entretanto, apenas 53% (541) usava-a de forma adequada, cobrindo a boca e o nariz. As mulheres apresentaram uma média mais elevada comparativamente aos homens (t=4.471; p=0.000). Conclusão: O uso de máscaras em espaços públicos, avaliado na cidade de Maputo, pode ser considerado baixo, o que pressupõe altos níveis de vulnerabilidade para novas vagas do COVID-19.

Objective: This pilot study investigated the mask wearing behavior for the prevention of COVID-19, aiming to determine the magnitude of mask use in public spaces. Methods: This was a prospective quantitative study, carried out in the city of Maputo, Mozambique, in February 2020, using the technique of systematic observation through the use of an electronic data collection platform built on Google Forms© to obtain data such as location, gender, use or not of masks, as well as how they are used. The systematic random sampling was adopted and a sample of 1,020 individuals was collected, in two road transport terminals and a market characterized by agglomerations. The collected data underwent descriptive statistical analysis, ANOVA, and T-test for independent samples. Results: It was found that 72.9% (744) of the individuals brought a mask; however, only 53% (541) used it properly, covering the mouth and nose. Women had a higher mean compared to men (t=4,471; p=0,000). Conclusion: The use of masks in public spaces, evaluated in the city of Maputo, can be considered low, which presupposes high levels of vulnerability to new waves of COVID-19.

Objetivo: El presente estudio piloto ha investigado la conducta de uso de mascarillas para la prevención de la COVID-19 con el objetivo de determinar la magnitud del uso de mascarillas en los espacios públicos. Métodos: Se trata de un estudio cuantitativo de carácter prospectivo realizado en la ciudad de Maputo, Mozambique, en febrero de 2020, con el recurso de la técnica de observación sistemática, a través del uso de una plataforma electrónica de recogida de datos elaborado en el Google Forms©, visando obtener datos como el sitio, el sexo, el uso o no de mascarillas, así como la forma de su utilización. El muestreo se dio como aleatorio sistemático con una muestra de 1.020 individuos de dos terminales de transporte rodoviario y un mercado caracterizados por grandes aglomeraciones. Los datos recogidos han pasado por el análisis estadístico descriptivo, ANOVA y la prueba T para muestras independientes. Resultados: Se verificó que el 72,9% (744) de los individuos tenían la mascarilla, sin embargo, solamente el 53% (541) la usaba de manera adecuada, cubriendo la boca y la nariz. Las mujeres presentaron una media más alta que los hombres (t=4.471; p=0.000). Conclusión: Se considera bajo el uso de las mascarillas en espacios públicos, evaluado en la ciudad de Maputo, lo que presupone altos niveles de vulnerabilidad para las nuevas plazas de COVID-19.

A comprehensive survey analysis focusing on the effect of living literacy on residential environment and health recognition under COVID-19 in Japan.

Appropriate knowledge and actions of residents in housing are expected to reduce health effects, defined as "living literacy." With the spread of COVID-19 and the diversification of lifestyles, a quantitative evaluation of a comprehensive model that includes living literacy in the housing environment is required. In this study, the author conducted two web-based surveys of approximately 2000 different households in Japan during the summer of 2020 and winter of 2021, and a statistical analysis based on the survey results. As a result, ventilation by opening windows was observed as a new resident behavior trend under COVID-19. In addition, structural equation modeling using the survey samples confirmed the certain relationship between living literacy and subjective evaluation of the indoor environment and health effects in both periods.

Mental health of Brazilian university students during the Covid-19 / Saúde mental dos estudantes universitários brasileiros durante a pandemia de Covid-19 / Salud mental de estudiantes universitarios brasileños durante la pandemia Covid-19

This study aimed to investigate the effects of positive and negative affects, anxiety, and obsessive and compulsive thoughts and behaviors on Brazilian university students during the Covid-19 pandemic. Participated in this study 492 students, aged 18 years or over, from all regions of the country. The survey was conducted between April and May 2020, using self-report instruments applied in the online format. The results indicated that 37% (N=182) of the students had a high level of anxiety and 46.1% (N=227) moderate levels for obsessive and compulsive thoughts and behaviors. In addition, it was found that positive affects were negatively correlated with anxiety, as well as with obsessive and compulsive thoughts and behaviors, while negative affects were positively correlated with independent variables. It is concluded that the mental health of university students must be monitored during pandemics.

Este estudo teve como objetivo investigar os efeitos dos afetos positivos e negativos, da ansiedade e dos pensamentos e comportamentos obsessivos e compulsivos nos estudantes universitários brasileiros durante a pandemia da Covid-19. Participaram deste estudo 492 estudantes de todas as regiões do país e com idades a partir de 18 anos. A pesquisa foi realizada entre os meses de abril e maio de 2020, por meio de instrumentos de autorrelatos aplicados no formato on-line. Os resultados indicaram que 37% (N = 182) dos estudantes apresentaram alto nível de ansiedade e 46,1% (N = 227) níveis moderados para os pensamentos e comportamentos obsessivos e compulsivos. Além disso, verificou-se que os afetos positivos se relacionaram negativamente à ansiedade, assim como se relacionaram negativamente aos pensamentos e comportamentos obsessivos e compulsivos, enquanto os afetos negativos se relacionaram positivamente às variáveis independentes. Conclui-se que a saúde mental dos estudantes universitários deve ser monitorada durante pandemias.

Este estudio tuvo como objetivo investigar los efectos de los afectos positivos y negativos, la ansiedad y los pensamientos y comportamientos obsesivos y compulsivos en estudiantes universitarios brasileños durante la pandemia de Covid-19. En este estudio participaron 492 estudiantes de todas las regiones del país y mayores de 18 años. La encuesta se realizó entre los meses de abril y mayo de 2020, utilizando instrumentos se autoinforme aplicados en formato online. Los resultados indicaron que el 37% (N = 182) de los estudiantes tenían niveles altos de ansiedad y el 46,1% (N = 227) niveles moderados de pensamientos y comportamientos obsesivos y compulsivos. Además, se encontró que los afectos positivos se correlacionaron negativamente con la ansiedad, así como el pensamiento y el comportamiento obsesivo y compulsivo se correlacionaron negativamente, mientras que los afectos negativos se correlacionaron positivamente con variables independientes. Se concluye que la salud mental de los estudiantes universitarios debe ser monitoreada durante las pandemias.

The role of non-COVID-specific and COVID-specific factors in predicting a shift in willingness to vaccinate: A panel study.

Although declines in intent to vaccinate had been identified in international surveys conducted between June and October 2020, including in the United States, some individuals in the United States who previously expressed reluctance said, in spring 2021, that they were willing to vaccinate. That change raised the following questions: What factors predicted an increased willingness to inoculate against COVID-19? And, to what extent was the change driven by COVID-specific factors, such as personal worry about the disease and COVID-specific misinformation, and to what extent by background (non-COVID-specific) factors, such as trust in medical authorities, accurate/inaccurate information about vaccination, vaccination history, and patterns of media reliance? This panel study of more than 8,000 individuals found that trust in health authorities anchored acceptance of vaccination and that knowledge about vaccination, flu vaccination history, and patterns of media reliance played a more prominent role in shifting individuals from vaccination hesitance to acceptance than COVID-specific factors. COVID-specific conspiracy beliefs did play a role, although a lesser one. These findings underscore the need to reinforce trust in health experts, facilitate community engagement with them, and preemptively communicate the benefits and safety record of authorized vaccines. The findings suggest, as well, the need to identify and deploy messaging able to undercut health-related conspiracy beliefs when they begin circulating.

Impact of excluding nursing home COVID-19 cases when assessing the relationship between county-level social distancing behavior and COVID-19 cases across the US during the early phase of the pandemic, February 2020-May 2020.

OBJECTIVES: To conduct a cross-sectional nationwide study examining how exclusion of nursing home COVID-19 cases influences the association between county level social distancing behavior and COVID-19 cases throughout the US during the early phase of the pandemic (February 2020-May 2020). METHODS: Using county-level COVID-19 data and social distancing metrics from tracked mobile devices, we investigated the impact social distancing had on a county's total COVID-19 cases (cases/100,000 people) between when the first COVID-19 case was confirmed in a county and May 31st, 2020 when most statewide social distancing measures were lifted, representing the pandemic's exponential growth phase. We created a mixed-effects negative binomial model to assess how implementation of social distancing measures when they were most stringent (March 2020-May 2020) influenced total COVID-19 cases while controlling for social distancing and COVID-19 related covariates in two scenarios: (1) when COVID-19 nursing home cases are not excluded from total COVID-19 cases and (2) when these cases are excluded. Model findings were compared to those from February 2020, a baseline when social distancing measures were not in place. Marginal effects at the means were generated to further isolate the influence of social distancing on COVID-19 from other factors and determine total COVID-19 cases during March 2020-May 2020 for the two scenarios. RESULTS: Regardless of whether nursing home COVID-19 cases were excluded from total COVID-19 cases, a 1% increase in average % of mobile devices leaving home was significantly associated with a 5% increase in a county's total COVID-19 cases between March 2020-May 2020 and about a 2.5% decrease in February 2020. When the influence of social distancing was separated from other factors, the estimated total COVID-19 cases/100,000 people was comparable throughout the range of social distancing values (25%-45% of mobile phone devices leaving home between March 2020-May 2020) when nursing home COVID-19 cases were not excluded (25% of mobile phones leaving home: 163.84 cases/100,000 people (95% CI: 121.81, 205.86), 45% of mobile phones leaving home: 432.79 cases/100,000 people (95% CI: 256.91, 608.66)) and when they were excluded (25% of mobile phones leaving home: 149.58 cases/100,000 people (95% CI: 111.90, 187.26), 45% of mobile phones leaving home: 405.38 cases/100,000 people (95% CI: 243.14, 567.62)). CONCLUSIONS: Exclusion of nursing home COVID-19 cases from total COVID-19 case counts has little impact when estimating the relationship between county-level social distancing and preventing COVID-19 cases with additional research needed to see whether this finding is also observed for COVID-19 growth rates and mortality.

Factors influencing nurses' behavioral intention toward caring for COVID-19 patients on mechanical ventilation: A cross-sectional study.

OBJECTIVES: To investigate nurses' behavioral intention toward caring for COVID-19 patients on mechanical ventilation, as well as the factors affecting their intention. BACKGROUND: COVID-19 patients undergoing mechanical ventilation have many care needs and pose more challenges for nurses, which might adversely affect nurses' intention toward caring behavior. METHODS: A cross-sectional study was conducted by using simple random sampling to recruit 598 nurses from five tertiary hospitals in Sichuan Province, China. The participants responded to an online questionnaire that included questions on demographic characteristics; the Attitude, Subjective Norms, and Behavioral Intention of Nurses toward Mechanically Ventilated Patients (ASIMP) questionnaire; the Nursing Professional Identity Scale (NPIS); and the Compassion Fatigue-Short Scale (CF-Short Scale). ANOVA, Spearman correlation analysis, and multiple linear regression were performed to analyze the data. RESULTS: The mean total behavioral intention score was 179.46 (± 14.83) out of a total score of 189.00, which represented a high level of intention toward caring for patients on mechanical ventilation. Multiple linear regression revealed that subjective norms (ß = 0.390, P<0.001), perceived behavioral control (ß = 0.149, P<0.001), professional identity (ß = 0.101, P = 0.009), and compassion fatigue (ß = 0.088 P = 0.024) were significant predictors of nurses' behavioral intention. CONCLUSIONS: Most nurses have a positive behavioral intention to care for COVID-19 patients undergoing mechanical ventilation. The findings in this study provide some insight for developing effective and tailored strategies to promote nurses' behavioral intention toward caring for ventilated patients under the pandemic situation.

Case-control study of the association of chronic acid suppression and social determinants of health with COVID-19 infection.

Acid suppressants are widely-used classes of medications linked to increased risks of aerodigestive infections. Prior studies of these medications as potentially reversible risk factors for COVID-19 have been conflicting. We aimed to determine the impact of chronic acid suppression use on COVID-19 infection risk while simultaneously evaluating the influence of social determinants of health to validate known and discover novel risk factors. We assessed the association of chronic acid suppression with incident COVID-19 in a 1:1 case-control study of 900 patients tested across three academic medical centers in California, USA. Medical comorbidities and history of chronic acid suppression use were manually extracted from health records by physicians following a pre-specified protocol. Socio-behavioral factors by geomapping publicly-available data to patient zip codes were incorporated. We identified no evidence to support an association between chronic acid suppression and COVID-19 (adjusted odds ratio 1.04, 95% CI 0.92-1.17, P = 0.515). However, several medical and social features were positive (Latinx ethnicity, BMI ≥ 30, dementia, public transportation use, month of the pandemic) and negative (female sex, concurrent solid tumor, alcohol use disorder) predictors of new infection. These findings demonstrate the value of integrating publicly-available databases with medical data to identify critical features of communicable diseases.

Asymptomatic individuals can increase the final epidemic size under adaptive human behavior.

Infections produced by non-symptomatic (pre-symptomatic and asymptomatic) individuals have been identified as major drivers of COVID-19 transmission. Non-symptomatic individuals, unaware of the infection risk they pose to others, may perceive themselves-and be perceived by others-as not presenting a risk of infection. Yet, many epidemiological models currently in use do not include a behavioral component, and do not address the potential consequences of risk misperception. To study the impact of behavioral adaptations to the perceived infection risk, we use a mathematical model that incorporates the behavioral decisions of individuals, based on a projection of the system's future state over a finite planning horizon. We found that individuals' risk misperception in the presence of non-symptomatic individuals may increase or reduce the final epidemic size. Moreover, under behavioral response the impact of non-symptomatic infections is modulated by symptomatic individuals' behavior. Finally, we found that there is an optimal planning horizon that minimizes the final epidemic size.

Promoting physical distancing during COVID-19: a systematic approach to compare behavioral interventions.

In the wake of the COVID-19 pandemic, physical distancing behavior turned out to be key to mitigating the virus spread. Therefore, it is crucial that we understand how we can successfully alter our behavior and promote physical distancing. We present a framework to systematically assess the effectiveness of behavioral interventions to stimulate physical distancing. In addition, we demonstrate the feasibility of this framework in a large-scale natural experiment (N = 639) conducted during an art fair. In an experimental design, we varied interventions to evaluate the effect of face masks, walking directions, and immediate feedback on visitors' contacts. We represent visitors as nodes, and their contacts as links in a contact network. Subsequently, we used network modelling to test for differences in these contact networks. We find no evidence that face masks influence physical distancing, while unidirectional walking directions and buzzer feedback do positively impact physical distancing. This study offers a feasible way to optimize physical distancing interventions through scientific research. As such, the presented framework provides society with the means to directly evaluate interventions, so that policy can be based on evidence rather than conjecture.

Behavioral gender differences are reinforced during the COVID-19 crisis.

Behavioral gender differences have been found for a wide range of human activities including the way people communicate, move, provision themselves, or organize leisure activities. Using mobile phone data from 1.2 million devices in Austria (15% of the population) across the first phase of the COVID-19 crisis, we quantify gender-specific patterns of communication intensity, mobility, and circadian rhythms. We show the resilience of behavioral patterns with respect to the shock imposed by a strict nation-wide lock-down that Austria experienced in the beginning of the crisis with severe implications on public and private life. We find drastic differences in gender-specific responses during the different phases of the pandemic. After the lock-down gender differences in mobility and communication patterns increased massively, while circadian rhythms tended to synchronize. In particular, women had fewer but longer phone calls than men during the lock-down. Mobility declined massively for both genders, however, women tended to restrict their movement stronger than men. Women showed a stronger tendency to avoid shopping centers and more men frequented recreational areas. After the lock-down, males returned back to normal quicker than women; young age-cohorts return much quicker. Differences are driven by the young and adolescent population. An age stratification highlights the role of retirement on behavioral differences. We find that the length of a day of men and women is reduced by 1 h. We interpret and discuss these findings as signals for underlying social, biological and psychological gender differences when coping with crisis and taking risks.

The association of community mobility with the time-varying reproduction number (R) of SARS-CoV-2: a modelling study across 330 local UK authorities.

BACKGROUND: Community mobility data have been used to assess adherence to non-pharmaceutical interventions and its impact on SARS-CoV-2 transmission. We assessed the association between location-specific community mobility and the reproduction number (R) of SARS-CoV-2 across UK local authorities. METHODS: In this modelling study, we linked data on community mobility from Google with data on R from 330 UK local authorities, for the period June 1, 2020, to Feb 13, 2021. Six mobility metrics are available in the Google community mobility dataset: visits to retail and recreation places, visits to grocery and pharmacy stores, visits to transit stations, visits to parks, visits to workplaces, and length of stay in residential places. For each local authority, we modelled the weekly change in R (the R ratio) per a rescaled weekly percentage change in each location-specific mobility metric relative to a pre-pandemic baseline period (Jan 3-Feb 6, 2020), with results synthesised across local authorities using a random-effects meta-analysis. FINDINGS: On a weekly basis, increased visits to retail and recreation places were associated with a substantial increase in R (R ratio 1·053 [99·2% CI 1·041-1·065] per 15% weekly increase compared with baseline visits) as were increased visits to workplaces (R ratio 1·060 [1·046-1·074] per 10% increase compared with baseline visits). By comparison, increased visits to grocery and pharmacy stores were associated with a small but still statistically significant increase in R (R ratio 1·011 [1·005-1·017] per 5% weekly increase compared with baseline visits). Increased visits to parks were associated with a decreased R (R ratio 0·972 [0·965-0·980]), as were longer stays at residential areas (R ratio 0·952 [0·928-0·976]). Increased visits to transit stations were not associated with R nationally, but were associated with a substantial increase in R in cities. An increasing trend was observed for the first 6 weeks of 2021 in the effect of visits to retail and recreation places and workplaces on R. INTERPRETATION: Increased visits to retail and recreation places, workplaces, and transit stations in cities are important drivers of increased SARS-CoV-2 transmission; the increasing trend in the effects of these drivers in the first 6 weeks of 2021 was possibly associated with the emerging alpha (B.1.1.7) variant. These findings provide important evidence for the management of current and future mobility restrictions. FUNDING: Wellcome Trust and Data-Driven Innovation initiative.

Key factors affecting people's unwillingness to be confined during the COVID-19 pandemic in Spain: a large-scale population study.

Population confinements have been one of the most widely adopted non-pharmaceutical interventions (NPIs) implemented by governments across the globe to help contain the spread of the SARS-CoV-2 virus. While confinement measures have been proven to be effective to reduce the number of infections, they entail significant economic and social costs. Thus, different policy makers and social groups have exhibited varying levels of acceptance of this type of measures. In this context, understanding the factors that determine the willingness of individuals to be confined during a pandemic is of paramount importance, particularly, to policy and decision-makers. In this paper, we study the factors that influence the unwillingness to be confined during the COVID-19 pandemic by the means of a large-scale, online population survey deployed in Spain. We perform two types of analyses (logistic regression and automatic pattern discovery) and consider socio-demographic, economic and psychological factors, together with the 14-day cumulative incidence per 100,000 inhabitants. Our analysis of 109,515 answers to the survey covers data spanning over a 5-month time period to shed light on the impact of the passage of time. We find evidence of pandemic fatigue as the percentage of those who report an unwillingness to be in confinement increases over time; we identify significant gender differences, with women being generally less likely than men to be able to sustain long-term confinement of at least 6 months; we uncover that the psychological impact was the most important factor to determine the willingness to be in confinement at the beginning of the pandemic, to be replaced by the economic impact as the most important variable towards the end of our period of study. Our results highlight the need to design gender and age specific public policies, to implement psychological and economic support programs and to address the evident pandemic fatigue as the success of potential future confinements will depend on the population's willingness to comply with them.

Cell-phone traces reveal infection-associated behavioral change.

Epidemic preparedness depends on our ability to predict the trajectory of an epidemic and the human behavior that drives spread in the event of an outbreak. Changes to behavior during an outbreak limit the reliability of syndromic surveillance using large-scale data sources, such as online social media or search behavior, which could otherwise supplement healthcare-based outbreak-prediction methods. Here, we measure behavior change reflected in mobile-phone call-detail records (CDRs), a source of passively collected real-time behavioral information, using an anonymously linked dataset of cell-phone users and their date of influenza-like illness diagnosis during the 2009 H1N1v pandemic. We demonstrate that mobile-phone use during illness differs measurably from routine behavior: Diagnosed individuals exhibit less movement than normal (1.1 to 1.4 fewer unique tower locations; [Formula: see text]), on average, in the 2 to 4 d around diagnosis and place fewer calls (2.3 to 3.3 fewer calls; [Formula: see text]) while spending longer on the phone (41- to 66-s average increase; [Formula: see text]) than usual on the day following diagnosis. The results suggest that anonymously linked CDRs and health data may be sufficiently granular to augment epidemic surveillance efforts and that infectious disease-modeling efforts lacking explicit behavior-change mechanisms need to be revisited.

Associations between dimensions of behaviour, personality traits, and mental-health during the COVID-19 pandemic in the United Kingdom.

The COVID-19 pandemic (including lockdown) is likely to have had profound but diverse implications for mental health and well-being, yet little is known about individual experiences of the pandemic (positive and negative) and how this relates to mental health and well-being, as well as other important contextual variables. Here, we analyse data sampled in a large-scale manner from 379,875 people in the United Kingdom (UK) during 2020 to identify population variables associated with mood and mental health during the COVID-19 pandemic, and to investigate self-perceived pandemic impact in relation to those variables. We report that while there are relatively small population-level differences in mood assessment scores pre- to peak-UK lockdown, the size of the differences is larger for people from specific groups, e.g. older adults and people with lower incomes. Multiple dimensions underlie peoples' perceptions, both positive and negative, of the pandemic's impact on daily life. These dimensions explain variance in mental health and can be statistically predicted from age, demographics, home and work circumstances, pre-existing conditions, maladaptive technology use and personality traits (e.g., compulsivity). We conclude that a holistic view, incorporating the broad range of relevant population factors, can better characterise people whose mental health is most at risk during the COVID-19 pandemic.

Dealing with uncertainty: A high-density EEG investigation on how intolerance of uncertainty affects emotional predictions.

Intolerance of uncertainty (IU) can influence emotional predictions, constructed by the brain (generation stage) to prearrange action (implementation stage), and update internal models according to incoming stimuli (updating stage). However, neurocomputational mechanisms by which IU affects emotional predictions are unclear. This high-density EEG study investigated if IU predicted event-related potentials (ERPs) and brain sources activity developing along the stages of emotional predictions, as a function of contextual uncertainty. Thirty-six undergraduates underwent a S1-S2 paradigm, with emotional faces and pictures as S1s and S2s, respectively. Contextual uncertainty was manipulated across three blocks, each with 100%, 75%, or 50% S1-S2 emotional congruency. ERPs, brain sources and their relationship with IU scores were analyzed for each stage. IU did not affect prediction generation. During prediction implementation, higher IU predicted larger Contingent Negative Variation in the 75% block, and lower left anterior cingulate cortex and supplementary motor area activations. During prediction updating, as IU increased P2 to positive S2s decreased, along with P2 and Late Positive Potential in the 75% block, and right orbito-frontal cortex activity to emotional S2s. IU was therefore associated with altered uncertainty assessment and heightened attention deployment during implementation, and to uncertainty avoidance, reduced attention to safety cues and disrupted access to emotion regulation strategies during prediction updating.

The potential stickiness of pandemic-induced behavior changes in the United States.

Human behavior is notoriously difficult to change, but a disruption of the magnitude of the COVID-19 pandemic has the potential to bring about long-term behavioral changes. During the pandemic, people have been forced to experience new ways of interacting, working, learning, shopping, traveling, and eating meals. A critical question going forward is how these experiences have actually changed preferences and habits in ways that might persist after the pandemic ends. Many observers have suggested theories about what the future will bring, but concrete evidence has been lacking. We present evidence on how much US adults expect their own postpandemic choices to differ from their prepandemic lifestyles in the areas of telecommuting, restaurant patronage, air travel, online shopping, transit use, car commuting, uptake of walking and biking, and home location. The analysis is based on a nationally representative survey dataset collected between July and October 2020. Key findings include that the "new normal" will feature a doubling of telecommuting, reduced air travel, and improved quality of life for some.