According to a survey conducted in autumn 2020, the top health innovation priority with the COVID-19 pandemic was shifting to telehealth/virtual care, as reported by 49 percent of healthcare leaders. This statistic illustrates the effects of COVID-19 on health innovation priorities in the United States.

As of autumn 2020, around 17 percent of surveyed healthcare executives reported that continuing to use telehealth will be the biggest expected future change due to COVID-19. This statistic illustrates the expected future changes to telehealth due to COVID-19 in the United States.

Fall 2020 University of California campus and surrounding population sizes, SARS-CoV-2 testing volume, COVID-19 cases and fraction of populations testing positive during the fall term.

Study characteristics comparing Cuberek et al. [38] Pre-COVID data with during COVID data of Czech children.

Objectives: Young adults are essential to the effective mitigation of the novel coronavirus (SARS-CoV-2/COVID-19) given their tendency toward greater frequency of social interactions. Little is known about vaccine willingness during pandemics in European populations. This study examined young people’s attitudes toward COVID-19 vaccines in Fall 2020.Methods: Data came from an ongoing longitudinal study’s online COVID-19-focused supplement among young adults aged 22 in Zurich, Switzerland (N = 499) in September 2020. Logistic regressions examined young adults’ likelihood of participating in COVID-19 immunization programs.Results: Approximately half of respondents reported being unlikely to get vaccinated against COVID-19. Compared to males, females were more likely to oppose COVID-19 vaccination (p < 0.05). In multivariate models, Sri Lankan maternal background and higher socioeconomic status were associated with a greater likelihood of getting vaccinated against COVID-19 (p < 0.05). Respondents were more likely to report a willingness to get vaccinated against COVID-19 when they perceived 1) an effective government response (p < 0.05) and 2) their information sources to be objective (p < 0.05).Conclusion: This study communicates aspects important to the development of targeted information campaigns to promote engagement in COVID-19 immunization efforts.

60 percent of German Christmas shoppers agreed they would be giving fewer vouchers or tickets for cultural events as a gift in 2020, as the future seemed too uncertain, namely whether the coronavirus (COVID-19) restrictions would be lifted enough to allow large-scale events again. 32 disagreed with this statement. The figures are based on a survey conducted in Germany in autumn 2020.

First wave: March—June 2020, second wave: November 2020—January 2021. Influenza vaccinations in autumn of 2019 and autumn of 2020 were considered for calculations regarding the first and the second COVID-19 waves, respectively.

Gender specific scores on the PAQ-C before and during COVID pandemic mean [standard deviation]).

We conducted a global survey on the effects of the COVID-19 pandemic on the research activities of materials scientists by distributing a questionnaire on 9 October 2020 with a response deadline of 23 October 2020. The questions covered issues such as access to labs, effectiveness of online conferences, and effects on doctoral students for the period covering the first lockdowns until the relaxation of restrictions in late September 2020 in many countries. The survey also included online interviews with eminent materials scientists who shared their local experiences during this period. The interviews were compiled as a series of audio conversations for The STAM Podcast that is freely available worldwide. Our findings included that the majority of institutes were not prepared for such a crisis; researchers in China, Japan, and Singapore were able to resume research much quicker – for example after approximately one month in Japan – than their counterparts in the US and Europe after the first lockdowns; researchers adapted to using virtual teleconferencing to maintain contact with colleagues; and doctoral students were the hardest hit by the pandemic with deep concerns about completing their research and career prospects. We hope that the analysis from this survey will enable the global materials science community to learn from each other’s experiences and move forward from the unprecedented circumstances created by the pandemic.

The National Social Life, Health and Aging Project (NSHAP) is a population-based study of health and social factors on a national scale, aiming to understand the well-being of older, community-dwelling Americans by examining the interactions among physical health, illness, medication use, cognitive function, emotional health, sensory function, health behaviors, and social connectedness. It is designed to provide health providers, policy makers, and individuals with useful information and insights into these factors, particularly on social and intimate relationships. The National Opinion Research Center (NORC), along with Principal Investigators at the University of Chicago, conducted more than 3,000 interviews during 2005 and 2006 with a nationally representative sample of adults aged 57 to 85. Face-to-face interviews and biomeasure collection took place in respondents' homes. Round 3 was conducted from September 2015 through November 2016, where 2,409 surviving Round 2 respondents were re-interviewed, and a New Cohort consisting of adults born between 1948 and 1965 together with their spouses or co-resident partners was added. All together, 4,777 respondents were interviewed in Round 3. The following files constitute Round 3: Core Data, Social Networks Data, Disposition of Returning Respondent Partner Data, and Proxy Data. Included in the Core files (Datasets 1 and 2) are demographic characteristics, such as gender, age, education, race, and ethnicity. Other topics covered respondents' social networks, social and cultural activity, physical and mental health including cognition, well-being, illness, history of sexual and intimate partnerships and patient-physician communication, in addition to bereavement items. In addition data on a panel of biomeasures including, weight, waist circumference, height, and blood pressure was collected. The Social Networks (Datasets 3 and 4) files detail respondents' current relationship status with each person identified on the network roster. The Disposition of Returning Respondent Partner (Datasets 5 and 6) files detail information derived from Section 6A items regarding the partner from Rounds 1 and 2 within the questionnaire. This provides a complete history for respondent partners across both rounds. The Proxy (Datasets 7 and 8) files contain final health data for Round 1 and Round 2 respondents who could not participate in NSHAP due to disability or death. The COVID-19 sub-study, administered to NSHAP R3 respondents in the Fall of 2020, was a brief self-report questionnaire that probed how the coronavirus pandemic changed older adults' lives. The COVID-19 sub-study questionnaire was limited to assessing specific domains in which respondents may have been affected by the coronavirus pandemic, including: (1) COVID experiences, (2) health and health care, (3) job and finances, (4) social support, (5) marital status and relationship quality, (6) social activity and engagement, (7) living arrangements, (8) household composition and size, (9) mental health, (10) elder mistreatment, (11) health behaviors, and (12) positive impacts of the coronavirus pandemic. Questions about engagement in racial justice issues since the death of George Floyd in police custody were also added to facilitate analysis of the independent and compounding effects of both the COVID-19 pandemic and reckoning with longstanding racial injustice in America.

The majority of respondents believed that the election campaign in Romania in autumn 2020 would only benefit the bigger political parties, given the coronavirus (COVID-19) pandemic and the restrictions imposed. At the same time, 50 percent of respondents were of the opinion that in the context of a limited election campaign, the electorate would not be properly informed.

BackgroundThe coronavirus disease 2019 (COVID-19) public health emergency has amplified the potential value of deploying telehealth solutions. Less is known about how trends in access to care through telehealth changed over time.ObjectivesTo investigate trends in forgone care and telehealth coverage among Medicare beneficiaries during the COVID-19 pandemic.MethodsA cross-sectional study design was used to analyze the outcomes of 31,907 Medicare beneficiaries using data from three waves of survey data from the Medicare Current Beneficiary Survey COVID-19 Supplement (Summer 2020, Fall 2020, and Winter 2021). We identified informative variables through a multivariate classification analysis utilizing Random Forest machine learning techniques.FindingsThe rate of reported forgone medical care because of COVID-19 decreased largely (22.89–3.31%) with a small increase in telehealth coverage (56.24–61.84%) from the week of June 7, 2020, to the week of April 4 to 25, 2021. Overall, there were 21.97% of respondents did not know whether their primary care providers offered telehealth services; the rates of forgone care and telehealth coverage were 11.68 and 59.52% (11.73 and 81.18% from yes and no responses). Our machine learning model predicted the outcomes accurately utilizing 43 variables. Informative factors included Medicare beneficiaries' age, Medicare-Medicaid dual eligibility, ability to access basic needs, certain mental and physical health conditions, and interview date.ConclusionsThis cross-sectional survey study found proliferation and utilization of telehealth services in certain subgroups during the COVID-19 pandemic, providing important access to care. There is a need to confront traditional barriers to the proliferation of telehealth. Policymakers must continue to identify effective means of maintaining continuity of care and growth of telehealth services.

The study charted Finnish people's values and attitudes. The themes of the Autumn 2020 survey included the coronavirus (COVID-19) pandemic, financing the welfare state, happiness, equality, birth rate, and social problems. First, the respondents were presented with a variety of attitudinal statements concerning, among other topics, the Government's actions to combat COVID-19, politics, employment, reliability of information, and alcohol use. Next, the survey examined the respondents' attitudes towards rebalancing public finance after the COVID-19 pandemic. Opinions on financing the welfare state were also charted with various questions. For instance, it has been said that financing the welfare state requires that Finns must work more/longer in the future than they do at present, one way or other. Relating to this statement, the respondents were asked to evaluate whether several ways of achieving the goal of making Finns work more/longer were good or bad (e.g. increasing the number of weekly working hours or making it more difficult to take early retirement or get disability pension). Everyday well-being and happiness were also surveyed. The respondents were asked how happy they were at present and how satisfied they were with various matters, such as their income level, relationship status, and opportunities to influence in society. Questions also focused on what the respondents thought contributed to a happy life, for instance whether they thought that good relationships, health, social respect, interesting hobbies, or spirituality were prerequisites for happiness. Several questions charted views on equality and inequality among Finns (e.g. the presence of gender, generational, regional and occupational equality/inequality in Finland). Views on the reasons behind the low birth rate in Finland were examined next (e.g. whether the respondents thought unemployment or general uncertainty contributed to the low birth rate). The respondents were also asked which policy means they thought might be effective in increasing the birth rate. Social problems were examined with questions on whether the respondents had personally experienced or otherwise closely witnessed problems such as anxiety or depression, bullying, substance addiction, problem use of alcohol, or gambling problems, during the past few years. Finally, the respondents' views were surveyed regarding the impact of Donald Trump and his administration on, for instance, the global status of and respect for the United States. Opinions on Finland's EU membership and the euro as Finland's currency were also examined. Background variables included gender, age group, size of the respondent's municipality of residence, region of residence, employer type, employment status, type of employment contract, occupational group, employment sector, trade union membership, political party preference (which party the respondent would vote for), self-perceived social class, and annual income of the respondent's household.

Do partisan preferences, the electoral system, checks on government, political fragmentation, civil liberties and trust contribute to explaining the stringency of containment policies in European countries? Empirical studies suggest that political science theories have helped very little in understanding European democracies’ political response to the pandemic’s first wave. We argue in this article that the negligible effect of politics, broadly defined, is confined to the first wave and that during subsequent waves over the autumn 2020 to spring 2021 season some of the above political factors contribute to our understanding of variation in countries’ response. Employing a sample of 26 European democracies analyzing daily data on the stringency of adopted containment policies we provide evidence that politics does not matter during the first wave but is substantively important during later waves.

According to a survey conducted by BI Norwegian Business School in fall 2020, students were heavily impacted by the COVID-19 pandemic and had changed their media behaviors. The most important source when searching for information about the coronavirus was newspapers' websites, with ** percent of respondents. In second place was social media, at half of people interviewed. Radio and podcasts were least popular when looking up coronavirus-related news.

The SARS-CoV-2 epidemic continues to have major impacts on children’s education, with schools required to implement infection control measures that have led to long periods of absence and classroom closures. We have developed an agent-based epidemiological model of SARS-CoV-2 transmission that allows us to quantify projected infection patterns within primary school classrooms, and related uncertainties; the basis of our approach is a contact model constructed using random networks, informed by structured expert judgment. The effectiveness of mitigation strategies is considered in terms of effectiveness at suppressing infection outbreaks and limiting pupil absence. Covid-19 infections in schools in the UK in Autumn 2020 are re-examined and the model used for forecasting infection levels in autumn 2021, as the more infectious Delta-variant was emerging and school transmission was thought likely to play a major role in an incipient new wave of the epidemic. Our results are in good agreement with available data and indicate that testing-based surveillance of infections in the classroom population with isolation of positive cases is a more effective mitigation measure than bubble quarantine both for reducing transmission in primary schools and for avoiding pupil absence, even accounting for the insensitivity of self-administered tests. Bubble quarantine entails large numbers of pupils being absent from school, with only a modest impact on classroom infection levels. However, maintaining a reduced contact rate within the classroom can have a major beneficial impact on managing Covid-19 in school settings. Methods An agent-based stochastic model of SARS-CoV-2 transmission in classrooms, developed in Fortran for fast ensemble simulation.

This file contains weekly attendance data at local authority level for state-funded education settings for each Thursday in the autumn term (from 10 September until 17 December 2020) for the spring term (13 January until 1 April 2021) and the summer term (15 April until 15 July). It also includes workforce absence statistics in the autumn term (from 10 September until 17 December 2020), the spring term (13 January until 1 April 2021) and the summer term (15 April until 15 July).The data is shown for each local authority and is further split by the following school phases:state-funded secondary schoolsstate-funded primary schoolsstate-funded special schoolsall state-funded schools.Data is in this file has been not been scaled to account for non-response so it is not nationally representative.

As of July 2020, ** percent of respondents in the United States were very concerned that their children were falling behind in school because of the coronavirus pandemic, while **** percent were not concerned at all.