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Objectives Design Methods Results Conclusions Physical distancing and handwashing can be important infection prevention measures during an infectious disease outbreak such as the COVID‐19 pandemic. To stimulate these behaviours, knowledge of psychosocial determinants as well as contextual factors is vital. We present longitudinal, within‐person analyses of the impact of contextual and psychosocial factors on handwashing and distancing behaviour.We used individual‐level data (186,490 participants completing 971,899 surveys) from the Corona Behavioural Unit COVID‐19 Cohort, a dynamic cohort study conducted during 26 months of the COVID‐19 pandemic in the Netherlands.Fixed‐effects models were employed to estimate within‐person associations between psychosocial factors and behaviour, combined with main and moderating effects of contextual factors.Pandemic severity was associated with more handwashing and distancing behaviour, while the duration of the pandemic had little effect. Within‐person changes in response efficacy were most relevant for changes in both handwashing and distancing behaviour, while self‐efficacy, descriptive norms and perceived severity of infecting others affected behaviour indirectly. These effects were stable over time. Associations were larger in cross‐sectional models, indicating that such models tend to overestimate effects.Our study highlights the importance of longitudinal data and within‐person models to detect possible causal associations. The results suggest that during an outbreak, government and public health professionals should clearly communicate the severity of the pandemic (e.g., hospitalization rates) and the effectiveness of recommended prevention measures in reducing that risk; and seek to improve people's capabilities and opportunities to adhere to guidelines, for example, by modifying the environment. [ABSTRACT FROM AUTHOR]

Background/Objectives: The COVID-19 pandemic has profoundly affected the lives of adolescents worldwide, especially those living with chronic diseases. This study aims to explore the impact of the COVID-19 pandemic on the daily lives of adolescents with chronic diseases. Methods: This is a scoping review that follows the guidelines proposed by JBI. Eligibility criteria include articles focusing on adolescents aged 10 to 19 during the COVID-19 pandemic, regardless of chronic diseases. Searches were performed in PUBMED, LILACS, CINAHL, SCOPUS, grey literature, and manual searches in March 2024. Results: This review is composed of 35 articles. The analysis revealed two main categories: (1) Adolescents facing social isolation, school closure, and new family interactions, striving to reinvent themselves, and (2) Chasing the best decision: following up the chronic disease while fighting the COVID-19 pandemic. These categories encompass subcategories highlighting changes in social and family interactions and lifestyle habits. The findings suggest a multifaceted interaction of factors influencing adolescents' well-being, including improved family bonding, heightened disease management, and increased stress and strains on resources. Conclusions: This review emphasizes the importance of long-term follow-up and social inclusion efforts for adolescents with chronic diseases and their families, addressing their unique needs during public health crises. [ABSTRACT FROM AUTHOR]

Objective: To assess the prevalence of otitis media with effusion (OME) among children who attended a tertiary level audiologic center 2 and 3 years after the COVID‐19 lockdown, and to determine the impact of temporary interruption of day care center attendance on chronic OME. Study Design: Retrospective study. Setting: Tertiary level referral audiologic center. Methods: We assessed the prevalence of OME among children aged 6 months to 12 years in 3 different periods (May‐June 2022, January‐February 2023, and May‐June 2023) and compared the results with those of the corresponding periods before the COVID‐19 lockdown. We also compared the disease resolution rates between a subgroup of children with chronic OME who interrupted day care center attendance for a 2‐month period (Subgroup A) and a similar subgroup who continued attending day care centers (Subgroup B). Results: The prevalence of OME was 38.5% (138/358) in May‐June 2022, 51.9% (193/372) in January‐February 2023, and 40.9% (149/364) in May‐June 2023. No significant prevalence differences were observed between the periods May‐June 2019, May‐June 2022, and May‐June 2023 (P =.78), and between the periods January‐February 2020 and January‐February 2023 (P =.93). At the May‐June 2023 assessment, the children belonging to Subgroup A presented a greater rate of disease resolution (85.7%, 18/21) than the children belonging to Subgroup B (32%, 8/25, P <.001). Conclusion: This study suggests that the prevalence of OME has returned to prelockdown levels, and that interrupting day care center attendance for a 2‐month period could be effective in resolving most cases of chronic OME. [ABSTRACT FROM AUTHOR]

The corona virus disease 2019 (COVID-19) pandemic has increased awareness towards maintaining physical distancing during transportation-related activities. This study presents a microsimulation model to explore operational measures to maintain physical distance among railway station passengers. The secondary and primary data obtained from field surveys are utilized to construct and calibrate the model. The peak hour data is employed to investigate the worst-case conditions. The calibrated model is then utilized to evaluate several operational measures, i.e., changing the headway, increasing the train capacity, increasing the train door duration, and changing the train door rules. From the simulation, it is found that changing the train door rules was ineffective if it was individually implemented. It is concluded that a combination of operational measures provides additional benefits for maintaining physical distancing among passengers.

Background/Aims This study aimed to assess the impact of non-pharmaceutical interventions (NPIs) implemented during the COVID-19 pandemic on nationally notifiable infectious diseases (NNIDs) in South Korea. Methods Long-term data on seven NNIDs from 2018 to 2021 were analyzed to identify trends and change points using a change point detection technique. The timings of the NPI implementations were compared to the identified change points to determine their association. Results Varicella, mumps, and scarlet fever showed a significant decrease in incidence following the implementation of NPIs during the COVID-19 pandemic. These diseases, which are primarily transmitted through respiratory droplets, demonstrated a clear response to NPIs. However, carbapenem-resistant Enterobacterales (CRE) showed an increasing trend unrelated to the timing of NPI implementation, suggesting the complex nature of controlling healthcare-associated infections. Hepatitis A, hepatitis C, and scrub typhus did not show significant changes associated with NPIs, likely due to their non-respiratory route of transmission. Conclusions NPIs effectively controlled NNIDs, particularly those transmitted through respiratory infections. However, the impact varied depending on the disease. Understanding the effectiveness and limitations of NPIs is crucial for developing comprehensive public health strategies during infectious disease outbreaks.

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Characterize college student COVID-19 behaviors and attitudes during the early pandemic. Participants: Students on two university campuses in Wisconsin. Surveys administered in September and November 2020. Few students (3–19%) participated in most in-person activities during the semester, with eating at restaurants as the exception (72–80%) and attending work (35%) and parties (33%) also reported more frequently. The majority wore masks in public (94–99%), but comparatively fewer (42%) did so at parties. Mask-wearing at parties decreased from September to November (p < 0.05). Students attending parties, or consuming more alcohol, were less concerned and more likely to take COVID-19-associated risks. Students were motivated to adhere to COVID-19 prevention measures but gathered socially. Though there was frequent public masking, mask-wearing at parties declined in November and may represent pandemic fatigue. High-yield strategies for decreasing viral spread may include changing masking social norms and engaging with students about creative risk-reduction strategies. [ABSTRACT FROM AUTHOR]

Introduction: The recommended social distancing measures to prevent the spread of Covid-19 caused high mental suffering, mainly for those affected by diabetes mellitus due to multiple metabolic, inflammatory and vascular changes. Objective: This work aims to test the association between the perception of feelings, the measurement of blood glucose and the conditions of social distancing due to the Covid19 pandemic in adults with type 1 diabetes in Brazil. Materials and methods: The research was approved by the Ethics Committee and Research with Human Beings, carried out through an online form, it is a cross-sectional, descriptive and analytical study, carried out during the month of July 2020. Results: 472 adults with DM1 participated, 50.4% said that social distancing was causing stress in their home environment. For statistical analysis, the Statistical Package for Social Sciences software, version 21, was used, a relationship was found between stress, hyperglycemia and less willingness to remain in social isolation; normoglycemia feeling of joy and greater willingness to remain in social isolation. Conclusion: Given this, it is observed that social distancing caused glycemic and mood changes in these individuals. Therefore, the inclusion of care in the health of this population should be considered, through different interventions with the multidisciplinary team. [ABSTRACT FROM AUTHOR]

Background: The risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission during the endemic phase may vary from that during the previous pandemic phase. We evaluated the risk of infection in a general population with laboratory-confirmed coronavirus disease 2019 (COVID-19) in a community setting in Korea. Materials and Methods: This study included 1,286 individuals who had been in contact with an index COVID-19 case between January 24, 2020, and June 30, 2022. Variables such as age, sex, nationality, place of contact, level of contact, the status of exposed cases, period, and level of mask-wearing were assessed. Results: Among 1,286 participants, 132 (10.30%) were confirmed to have COVID-19. With increasing age, the risk of the exposed persons contracting COVID-19 from index cases tended to increase (P <0.001), especially for people in their 70s (odds ratio, 1.24; 95% confidence interval, 1.11–1.40; P <0.001). We found an increasing trend in the risk of a COVID-19 exposed case becoming a secondary infection case (P <0.001) in long-term care facilities where the attack rate was high. Conclusion: The risk of COVID-19 transmission is high in long-term care facilities where many older adults reside. Intensive management of facilities at risk of infection and strict mask-wearing of confirmed COVID-19 cases are necessary to prevent the risk of COVID-19 infection. [ABSTRACT FROM AUTHOR]

Background: The coronavirus disease 2019 (COVID-19) pandemic offered an epidemiological opportunity to evaluate if isolation and masking affected John Cunningham (JC) virus transmission. Objective: This study aimed to assess the proportion of natalizumab-treated patients who converted to a positive anti-JCV antibody serostatus before and during the pandemic. Methods: Data from TYSABRI Outreach: Unified Commitment to Health (TOUCH) for 22,375 US patients treated with natalizumab with anti-JCV antibody records were assessed in epochs annually from 2017 to 2022. Results: Pre-pandemic anti-JCV antibody serostatus change was observed for 7.4%–7.7%. During the first and second years of the pandemic, 7.3% and 7.2% of patients' serostatus changed, respectively. Conclusion: The proportion of patients with anti-JCV antibody serostatus change did not significantly differ during the first 2 years of the pandemic compared with prior years. In contrast to seasonal influenza, masking and social distancing had no discernable effect on JCV serostatus change. [ABSTRACT FROM AUTHOR]

Objective- To identify and assess whether three major risk factors that due to differential access to flexible resources might help explain disparities in the spread of COVID-19 across communities with different socioeconomic status, including socioeconomic inequalities in social distancing, the potential risk of interpersonal interactions, and access to testing.MethodsAnalysis uses ZIP code level weekly COVID-19 new cases, weekly population movement flows, weekly close-contact index, and weekly COVID-19 testing sites in Southern California from March 2020 to April 2021, merged with the U.S. census data to measure ZIP code level socioeconomic status and cofounders. This study first develops the measures for social distancing, the potential risk of interactions, and access to testing. Then we employ a spatial lag regression model to quantify the contributions of those factors to weekly COVID-19 case growth.ResultsResults identify that, during the first COVID-19 wave, new case growth of the low-income group is two times higher than that of the high-income group. The COVID-19 case disparity widens to four times in the second COVID-19 wave. We also observed significant disparities in social distancing, the potential risk of interactions, and access to testing among communities with different socioeconomic status. In addition, all of them contribute to the disparities of COVID-19 incidences. Among them, the potential risk of interactions is the most important contributor, whereas testing accessibility contributes least. We also found that close-contact is a more effective measure of social distancing than population movements in examining the spread of COVID-19.Conclusion- This study answers critically unaddressed questions about health disparities in the spread of COVID-19 by assessing factors that might explain why the spread is different in different groups.

The COVID-19 pandemic led to unprecedented changes in behaviour. To estimate if these persisted, a final round of the CoMix social contact survey was conducted in four countries at a time when all societal restrictions had been lifted for several months. We conducted a survey on a nationally representative sample in the UK, Netherlands (NL), Belgium (BE), and Switzerland (CH). Participants were asked about their contacts and behaviours on the previous day. We calculated contact matrices and compared the contact levels to a pre-pandemic baseline to estimate R0. Data collection occurred from 17 November to 7 December 2022. 7477 participants were recruited. Some were asked to undertake the survey on behalf of their children. Only 14.4 % of all participants reported wearing a facemask on the previous day. Self-reported vaccination rates in adults were similar for each country at around 86 %. Trimmed mean recorded contacts were highest in NL with 9.9 (95 % confidence interval [CI] 9.0–10.8) contacts per person per day and lowest in CH at 6.0 (95 % CI 5.4–6.6). Contacts at work were lowest in the UK (1.4 contacts per person per day) and highest in NL at 2.8 contacts per person per day. Other contacts were also lower in the UK at 1.6 per person per day (95 % CI 1.4–1.9) and highest in NL at 3.4 recorded per person per day (95 % CI 43.0–4.0). The next-generation approach suggests that R0 for a close-contact disease would be roughly half pre-pandemic levels in the UK, 80 % in NL and intermediate in the other two countries. The pandemic appears to have resulted in lasting changes in contact patterns expected to have an impact on the epidemiology of many different pathogens. Further post-pandemic surveys are necessary to confirm this finding.

Abstract Background During the COVID-19 pandemic, many countries adopted social distance measures and lockdowns of varying strictness. Social contact patterns are essential in driving the spread of respiratory infections, and country-specific measurements are needed. This study aimed to gain insights into changes in social contacts and behaviour during the early pandemic phase in Norway. Methods We conducted an online panel study among a nationally representative sample of Norwegian adults by age and gender. The panel study included six data collections waves between April and September 2020, and 2017 survey data from a random sample of the Norwegian population (including children

ObjectivesThis study aimed to evaluate whether the Families First Coronavirus Response Act (FFCRA) modified the association between pre-existing state paid sick leave (PSL) and weekday workplace mobility between February 15 and July 7, 2020.Study designThis was a longitudinal, observational study.MethodsThe 50 US states and Washington, D.C., were divided into exposure groups based on the presence or absence of pre-existing state PSL policies. Derived from Google COVID-19 Community Mobility Reports, the outcome was measured as the daily percent change in weekday workplace mobility. Mixed-effects, interrupted time series regression was performed to evaluate weekday workplace mobility after the implementation of the FFCRA on April 1, 2020.ResultsStates with pre-existing PSL policies exhibited a greater drop in mobility following the passage of the FFCRA (β = -8.86, 95% confidence interval: -11.6, -6.10, P

The success of personal non-pharmaceutical interventions as a public health strategy requires a high level of compliance from individuals in private social settings. Strategies to increase compliance in these hard-to-reach settings depend upon a comprehensive understanding of the patterns and predictors of protective social behavior. Social cognitive models of protective behavior emphasize the contribution of individual-level factors while social-ecological models emphasize the contribution of environmental factors. This study draws on 28 waves of survey data from the Understanding Coronavirus in America survey to measure patterns of adherence to two protective social behaviors-private social-distancing behavior and private masking behavior-during the COVID-19 pandemic and to assess the role individual and environmental factors play in predicting adherence. Results show that patterns of adherence fall into three categories marked by high, moderate, and low levels of adherence, with just under half of respondents exhibiting a high level of adherence. Health beliefs emerge as the single strongest predictor of adherence. All other environmental and individual-level predictors have relatively poor predictive power or primarily indirect effects.

BackgroundDebate over "social distancing" as a response to the pandemic includes the claim that disrupting clinical and public health programming dependent on human-to-human contact increased non-COVID-19 deaths. This claim warrants testing because novel pathogens will continue to emerge. Tests, however, appear frustrated by lack of a convention for estimating non-COVID-19 deaths that would have occurred had clinical and public health programming during the pre-vaccine pandemic remained as efficacious as in the pre-pandemic era. Intending to hasten the emergence of such a convention, we describe and demonstrate "new-signal, prior-response expectations" suggested by research and methods at the intersection of epidemiology and process control engineering.MethodsUsing German data, we estimate pre-pandemic public health efficacy by applying Box-Jenkins methods to 271 weekly counts of all-cause deaths from December 29 2014 through March 8 2020. We devise new-signal, prior-response expectations by applying the model to weekly non-COVID-19 deaths from March 9 2020 through December 26 2020.ResultsThe COVID-19 pandemic did not coincide with more non-COVID-19 deaths than expected from the efficacy of responses to pre-pandemic all-cause deaths.ConclusionsNew-signal, prior-response estimates can contribute to evaluating the efficacy of public health programming in reducing non-COVID-19 deaths during the pre-vaccine pandemic.

ObjectivesWe examined COVID-19 vaccination status, intention, and hesitancy and the effects of five strategies to increase the willingness of unvaccinated adults (≥18 years) to get a COVID vaccine.MethodsOnline surveys were conducted between October 1-17, 2020 (N = 14,946), December 4-16, 2020 (N = 15,229), April 8-22, 2021 (N = 14,557), June 17-July 6, 2021 (N = 30,857), and September 3-October 4, 2021 (N = 33,088) with an internet-based, non-probability opt-in sample of U.S. adults matching demographic quotas. Respondents were asked about current COVID-19 vaccination status, intention and hesitancy to get vaccinated, and reasons for vaccine hesitancy. Unvaccinated respondents were assigned to treatment groups to test the effect of five strategies (endorsements, changing social restrictions, financial incentives, vaccine requirements for certain activities, and vaccine requirements for work). Chi-square tests of independence were performed to detect differences in the response distributions.ResultsWillingness to be vaccinated (defined as being vaccinated or planning to be) increased over time from 47.6 % in October 2020 to 81.1 % in October 2021. By October 2021, across most demographic groups, over 75 % of survey respondents had been or planned to be vaccinated. In terms of strategies: (1) endorsements had no positive effect, (2) relaxing the need for masks and social distancing increased Intention to Get Vaccinated (IGV) by 6.4 % (p

We investigated the initial outbreak rates and subsequent social distancing behaviour over the initial phase of the COVID-19 pandemic across 29 Combined Statistical Areas (CSAs) of the United States. We used the Numerus Model Builder Data and Simulation Analysis (NMB-DASA) web application to fit the exponential phase of a SCLAIV+D (Susceptible, Contact, Latent, Asymptomatic infectious, symptomatic Infectious, Vaccinated, Dead) disease classes model to outbreaks, thereby allowing us to obtain an estimate of the basic reproductive number R0 for each CSA. Values of R0 ranged from 1.9 to 9.4, with a mean and standard deviation of 4.5±1.8. Fixing the parameters from the exponential fit, we again used NMB-DASA to estimate a set of social distancing behaviour parameters to compute an epidemic flattening index cflatten. Finally, we applied hierarchical clustering methods using this index to divide CSA outbreaks into two clusters: those presenting a social distancing response that was either weaker or stronger. We found cflatten to be more influential in the clustering process than R0. Thus, our results suggest that the behavioural response after a short initial exponential growth phase is likely to be more determinative of the rise of an epidemic than R0 itself.

BackgroundThe San Francisco Bay Area was the first region in the United States to enact school closures to mitigate SARS-CoV-2 transmission. The effects of closures on contact patterns for schoolchildren and their household members remain poorly understood.MethodsWe conducted serial cross-sectional surveys (May 2020, September 2020, February 2021) of Bay Area households with children to estimate age-structured daily contact rates for children and their adult household members. We examined changes in contact rates over the course of the COVID-19 pandemic, including after vaccination of household members, and compared contact patterns by household demographics using generalized estimating equations clustered by household.ResultsWe captured contact histories for 1,967 households on behalf of 2,674 children, comprising 15,087 non-household contacts over the three waves of data collection. Shortly after the start of shelter-in-place orders in May 2020, daily contact rates were higher among children from Hispanic families (1.52 more contacts per child per day; [95% CI: 1.14-2.04]), households whose parents were unable to work from home (1.82; [1.40-2.40]), and households with income

During the pandemic of coronavirus disease 2019 (COVID-19), many jurisdictions around the world introduced a "social distance" rule under which people are instructed to keep a certain distance from others. Generally, this rule is implemented simply by telling people how many metres or feet of separation should be kept, without giving them precise instructions as to how the specified distance can be measured. Consequently, the rule is effective only to the extent that people are able to gauge this distance through their space perception. To examine the effectiveness of the rule from this point of view, this study empirically investigated how much distance people would leave from another person when they relied on their perception of this distance. Participants (N = 153) were asked to stand exactly 1.5 m away from a researcher, and resultant interpersonal distances showed that while their mean was close to the correct 1.5 m distance, they exhibited large individual differences. These results suggest that a number of people would not stay sufficiently away from others even when they intend to do proper social distancing. Given this outcome, it is suggested that official health advice include measures that compensate for this tendency. [ABSTRACT FROM AUTHOR]

Background: The rapid global emergence of the COVID-19 pandemic in early 2020 created urgent demand for leading indicators to track the spread of the virus and assess the consequences of public health measures designed to limit transmission. Public transit mobility, which has been shown to be responsive to previous societal disruptions such as disease outbreaks and terrorist attacks, emerged as an early candidate. Methods: We conducted a longitudinal ecological study of the association between public transit mobility reductions and COVID-19 transmission using publicly available data from a public transit app in 40 global cities from March 16 to April 12, 2020. Multilevel linear regression models were used to estimate the association between COVID-19 transmission and the value of the mobility index 2 weeks prior using two different outcome measures: weekly case ratio and effective reproduction number. Results: Over the course of March 2020, median public transit mobility, measured by the volume of trips planned in the app, dropped from 100% (first quartile (Q1)–third quartile (Q3) = 94–108%) of typical usage to 10% (Q1–Q3 = 6–15%). Mobility was strongly associated with COVID-19 transmission 2 weeks later: a 10% decline in mobility was associated with a 12.3% decrease in the weekly case ratio (exp(β) = 0.877; 95% confidence interval (CI): [0.859–0.896]) and a decrease in the effective reproduction number (β = −0.058; 95% CI: [−0.068 to −0.048]). The mobility-only models explained nearly 60% of variance in the data for both outcomes. The adjustment for epidemic timing attenuated the associations between mobility and subsequent COVID-19 transmission but only slightly increased the variance explained by the models. Discussion: Our analysis demonstrated the value of public transit mobility as a leading indicator of COVID-19 transmission during the first wave of the pandemic in 40 global cities, at a time when few such indicators were available. Factors such as persistently depressed demand for public transit since the onset of the pandemic limit the ongoing utility of a mobility index based on public transit usage. This study illustrates an innovative use of "big data" from industry to inform the response to a global pandemic, providing support for future collaborations aimed at important public health challenges. [ABSTRACT FROM AUTHOR]

To what extent do economic preferences and institutional trust predict compliance with physical distancing rules during the COVID‐19 pandemic? We reexamine this question by introducing the theoretical and empirical distinction between individual health behaviors in the public and in the private domain (e.g., keeping a distance from strangers vs. abstaining from private gatherings with friends). Using structural equation modeling to analyze survey data from Germany's second wave of the pandemic (N = 3350), we reveal the following major differences between compliance in both domains: Social preferences, especially (positive) reciprocity, play an essential role in predicting compliance in the public domain but are barely relevant in the private domain. Conversely, individuals' degree of trust in the national government matters predominantly for increasing compliance in the private domain. The clearly strongest predictor in this domain is the perception pandemic‐related threats. Our findings encourage tailoring communication strategies to either domain‐specific circumstances or factors common across domains. Tailored communication may also help promote compliance with other health‐related regulatory policies beyond COVID‐19. [ABSTRACT FROM AUTHOR]

Background: Infections are considered risk factors for autoimmune inflammatory rheumatic diseases (AIRDs), the incidence of which is considered to have been impacted by the COVID‐19 pandemic. The impact of non‐pharmaceutical interventions (NPIs) on the incidence of AIRDs and their associated health care services and medical expenses in Korea was investigated. Methods: We included all AIRD cases reported between January 2016 and February 2021 based on the National Health Insurance Service data. We evaluated changes in incidence trends for each AIRD before and after NPI implementation (Feb 2020 to Feb 2021) using segmented regression analysis. Changes in health care utilization and medical costs for each AIRD before and after NPI implementation were also investigated. Results: After NPI implementation, monthly incidence rates declined significantly by 0.205 per 1 000 000 (95% confidence interval [CI], −0.308 to −0.101, p <.001) in patients with systemic lupus erythematosus (SLE). No significant changes in the incidence of all AIRDs other than SLE were observed before and after implementation. Further, annual outpatient department visits per patient were lower during implementation for all diseases, except juvenile idiopathic arthritis (JIA). The prescription days per outpatient visit increased significantly during implementation for all diseases, except JIA and ankylosing spondylitis. During implementation, the total annual medical costs per patient tended to decrease for all diseases, except JIA and mixed connective tissue disease. Conclusion: Implementation of NPIs to contain the pandemic led to a reduction in the incidence of SLE and changed patterns of medical care utilization and treatment cost for most AIRDs. [ABSTRACT FROM AUTHOR]

This study focuses on social and physical distancing narratives during the outbreak of Covid-19 in India. Researchers have attempted to explore the trajectory of discursive practices that define social and physical distancing and its impact on human psychology. Further, the study looks at the communication strategies that have been mediated to create a mediatized reality focused on keeping a safe distance from one another to prevent the spread of the virus that caused self-isolation, compelled quarantine, and worry over health issues like psychological distress, Depression, and mental anxiety. Researchers have incorporated mediation, analyzing the narratives around societal and cultural practices that are integral to societal behavioral patterns. Implementing physical distancing in India happened because many communities understood social distancing along caste lines. Major highlights of the study are that despite the efforts made by the Government, media, and other institutions, discriminatory practices existed. [ABSTRACT FROM AUTHOR]

Objective: We aimed to identify the factors associated with using digital platforms for physical activity during the COVID-19 pandemic among adults living in Southern Brazil. We also compared the trajectory of physical activity between users and non-users and by type of digital platform used. Methods: We analyzed data from the PAMPA (Prospective Study About Mental and Physical Health in Adults) cohort. The study started in June 2020, and tracked participants through three waves (December 2020, June 2021, and June 2022). The exposure variable was usingf digital platforms for physical activity. The outcome measure was minutes per week of physical activity. We employed a generalized linear model with robust variance to explore the interaction between time and the use of digital platforms, adjusting for sociodemographic covariates and the presence of chronic diseases. Results: The proportion of participants using digital platforms for physical activity declined from 36.8% in 2020 to 25.6% in 2021 and further to 13.5% in 2022. Using digital platforms for physical activity was associated with a higher mean daily physical activity during the COVID-19 pandemic. Participants who used digital platforms were more likely to be physically active when compared to their inactive contemparts throughout the entire study period. Notably, social media emerged with greater influence in the physical activity practice among digital platforms. Conclusion: Using these platforms had a positive impact on increasing the level of physical activity among the participants.

This study conducts an empirical retrospective examination of the effect of COVID-19 protocols on Health workers' quality of life during the pandemic. Data from a survey respondent of 330 health workers were analyzed through structural equation modeling. Results indicated COVID-19 protocols specifically hand hygiene, personal protective equipments, and physical distancing had a significant effect on the quality of life of health workers during the COVID-19 era. However, the results did not follow the expected literature trend. Analysis indicated a direct significant positive relationship between hand hygiene and quality of life and also highlighted a negative relationship between physical distancing and protective equipments and quality of life. Detailed analysis in an attempt to explain this development highlighted the significant role physical and mental health play in the relationship between COVID-19 safety protocols and quality of life. The findings of the study suggest implications and suggestions for future research.

ABSTRACT Objective: We aimed to analyze the frequency of adherence to social distancing and individual protection measures of adult and older populations in two cities in southern Brazil and to characterize the sociodemographic aspects of these individuals. Methods: This cross-sectional, population-based study was conducted in the cities of Rio Grande, RS, and Criciúma, SC, Brazil. The outcome measure was the frequency of adherence to social distancing measures. Fisher's exact test (5% significance) was used to calculate the differences in prevalence according to exposure variables. Results: Among the 2,170 participants over the age of 18, the prevalence of adherence to social distancing was 18.5%. Adherence was significantly higher among women; older adults; single, divorced, or widowed people with a low educational level; people of lower socioeconomic status; and people affected by multiple chronic diseases. Conclusion: Approximately one in five respondents adhered to measures of social distancing, and adherence was more prevalent among the risk groups.

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a viral pathogen that quickly became a global pandemic in the winter of 2020-2021. In response, governments issued social distancing orders to minimize transmission by reducing community contacts. We tested the efficacy of this social distancing at the state level during the first 2 months of the pandemic in the United States. We utilized data on daily SARS-CoV-2 case numbers and human community mobility (anonymized, aggregated cell phone location data stratified into six categories used as an index of social distancing), the date of government-issued social distancing orders, demographics, urbanization and public transportation. We implemented cross-correlation to identify lag times between declines in mobility and SARS-CoV-2 cases. Incorporating state-specific lag times, we tested for associations between case counts and mobility metrics using Bayesian multilevel models. Decreased mobility around grocery stores/pharmacies, retail/recreation locations, transit stations and workplaces was correlated with decreases in SARS-CoV-2 cases with significant lag times of ≥21 days. Social distancing orders were associated with fewer cumulative SARS-CoV-2 cases when they were put in place earlier. Community mobility had already started declining prior to most social distancing orders, especially the more restrictive orders implemented later in the pandemic. Social distancing is an important tool that has been implemented throughout the pandemic to decrease SARS-CoV-2 transmission, although with significant social and economic impacts. Our results suggest that declines in cases were observed several weeks subsequent to implementation of social distancing measures, and that implementing social distancing earlier could potentially minimize the duration of time these policies need to be in effect. Our findings can inform ongoing management of this pandemic and other emerging infectious disease outbreaks by identifying areas where reductions in mobility are associated with reduced disease transmission, and the expected time frame between behavioural changes and measurable population outcomes.

Purpose Coronavirus disease 2019 (COVID-19) public health measures reduced the incidence of pediatric lower respiratory tract infections (LRTIs) in 2020. An inter-seasonal surge in the LRTI has occurred after relaxation of restrictions. We aimed to compare characteristics and disease severity of children with LRTI before, during, and after COVID-19 lockdown. Methods All LRTI-related visits to emergency department (ED) of a large pediatric hospital in the Netherlands between 2019 and 2021 were included. Variables were compared between 2019 and 2020, and between 2019 and 2021, respectively. The variables included demographic characteristics, condition upon ED arrival, diagnosis, applied treatment, and follow-up. Results In 2019, 2020, and 2021, numbers of the visits were 573, 280, and 519, respectively, comprising the study population (n = 1,372). In 2020, the patients were older, and showed higher frequencies of preterm birth history, co-occurring symptoms of obstructive lung disease, and salbutamol therapy in the ED, than in 2019. In 2021, the patients were younger, showed higher frequencies of desaturation, bronchiolitis, co-occurring symptoms of obstructive lung disease, salbutamol therapy, and hospitalization, and showed lower frequencies of respiratory ED visits or hospitalization in the past year, and antibiotic therapy. During hospitalization in 2020, the patients were older, and showed shorter duration of oxygen support and length of hospital stay, as well as lower frequencies of nasogastric tube insertion, compared to 2019. In 2021, compared to 2019, the patients showed a higher frequency of bronchiolitis and lower frequencies of underlying medical conditions and antibiotic therapy. Conclusion The children presenting with LRTIs in 2021 seem to have had a more severe clinical phenotype, possibly explained by immunity debt after the COVID-19 lockdown, stricter referral policy, or changes in healthcare-seeking behavior. Future research is needed to evaluate the long-term consequences of growing up during the lockdown.

This research aims at providing a new model of consumers' personal space to limit the spread of contagious disease while shopping in person. To this end, it adopts an agents-based simulation approach to model consumers' movements in the store during COVID-19 pandemic. Findings show the extent to which consumers' contacts with others increase the risk of contagion, due to the occurrence of social gatherings in certain areas. Specifically, there is a linear correlation between the number of consumers in the store and the number of consumers susceptible to contract the disease. Thus, the personal space from a psychological perception becomes an individual and compulsory boundary to protect consumers from contagious disease. Finally, our results extend the concept of social distance and personal space while shopping, and support retailers to provide safer shopping experiences. [ABSTRACT FROM AUTHOR]

The fear of COVID-19 can exacerbate social stigma and prejudice against individuals living with HIV (PLWH). This research delved into the behaviors of MSM (men who have sex with men) who practice physical-distancing from PLWH. Data from 878 respondents were collected through a web survey conducted on Korea’s largest LGBT portal site over one month in July 2022. The study examined various independent variables encompassing socioeconomic characteristics, health status, media consumption habits, and homosexual attributes of MSM. The dependent variable assessed was the extent of physical-distancing perceived by MSMs without HIV toward PLWH. The statistical analysis employed nested regression models. In Model I, it was observed that physical-distancing from PLWH decreased as the age and education level of the respondent increased. In Model II, a decrease in physical-distancing was noted among respondents with underlying health conditions. Model III indicated that increased use of traditional media corresponded to greater physical-distancing from PLWH. Lastly, Model IV revealed a reduction in physical-distancing when the respondent was themselves a person living with HIV. This study underscores the existence of physical-distancing toward PLWH within the gay community. Consequently, fostering solidarity and providing support becomes imperative to prevent the isolation of PLWH within this community. [ABSTRACT FROM AUTHOR]

Although COVID-19-related physical distancing has had large economic consequences, the impact on volunteerism is unclear. Using volunteer position postings data from Canada's largest volunteer center (Volunteer Toronto) from February 3, 2020, to January 4, 2021, we evaluated the impact of different levels of physical distancing on average views, total views, and total number of posts. There was about a 50% decrease in the total number of posts that was sustained throughout the pandemic. Although a more restrictive physical distancing policy was generally associated with fewer views, there was an initial increase in views during the first lockdown where total views were elevated for the first 4 months of the pandemic. This was driven by interest in COVID-19-related and remote work postings. This highlights the community of volunteers may be quite flexible in terms of adapting to new ways of volunteering, but substantial challenges remain for the continued operations of many non-profit organizations. [ABSTRACT FROM AUTHOR]

Background Physical distancing is an effective preventative measure during respiratory infectious disease outbreaks. Prior studies on distancing behaviors have largely ignored context characteristics (physical, social) and time. Purpose We investigated patterns in physical distancing over time and across situations, as well as sociodemographic variation herein. Methods We employed data from five rounds of a cohort study conducted throughout the pandemic by the Dutch public health institute (RIVM; N ≈ 50.000 per round). We conducted Latent Class Analyses to investigate patterns of physical distancing in a range of situations, followed by regression models to investigate associations between distancing behavior and sociodemographic and context characteristics. Results Participants differed in their general tendency to adhere to distancing guidelines across situations, but there were also substantial differences in distancing behavior between situations, particularly at work, with friends and family and outdoors. Distancing at work was strongly associated with work environment characteristics. Younger age groups reported less distancing behavior, particularly with close relations (friends or family) and at work. In periods when the pandemic situation was most severe, people adhered more strongly to distancing guidelines and age differences were most pronounced during these periods. Conclusions Physical and social context matters for physical distancing, highlighting the importance of developing strategies for pandemic preparedness that improve opportunities for physical distancing (e.g. reducing crowding, one-way traffic) and accommodate young people to safely meet even in times of high pandemic severity and lockdowns. Future studies should account for the physical and social context in which distancing behavior is observed. [ABSTRACT FROM AUTHOR]

Physical distancing and face masks remain frontline prevention strategies due to suboptimal vaccine uptake and the highly infectious COVID-19 variants. Communities of color are disproportionately impacted by a chronic disease burden that places them at higher risk of severe COVID-19 disease. Therefore, they can greatly benefit from face mask use and physical distancing, especially if the individual(s) have not received the vaccine. We applied the Health Belief Model to explore barriers and motivators influencing physical distancing and face mask use among high-risk, Black American subgroups during the early COVID-19 pandemic stages. We conducted 62 semi-structured interviews among four Black American subgroups: young adults, individuals with underlying medical conditions, essential workers, and parents. Thematic analysis, guided by the Health Belief Model, yielded six themes: (1) Knowledge on Face Mask Use and Physical Distancing, (2) Perceived Susceptibility and Severity Varies by Subgroup, (3) Experience with and Perceived Self-Efficacy to Engage in Preventive Behavior, (4) Perceived Benefits to engaging in preventive behaviors, (5) Perceived Barriers to engage in preventive behaviors, and (6) Cues to action to increase participation. Each subgroup's unique experience informed multilevel, tailored approaches that can be used by health promotion practitioners to improve face mask use and physical distancing among uniquely vulnerable Black American subgroups in the current and future pandemic. [ABSTRACT FROM AUTHOR]

Background: Physical distancing during the COVID-19 pandemic has impacted the activities of daily living (ADLs) of families, such as physical and psychosocial aspects, self-efficacy, family social function, and overall quality of life. However, research investigating the effects of home health care in enhancing these aspects during the physical distancing period remains limited. Purpose: This study aimed to evaluate the effects of implementing home health care on physical and psychosocial aspects, self-efficacy, family social function, and quality of life of families in East Java Province, Indonesia. Methods: A quasi-experimental study was conducted among 768 healthy families that were purposively recruited from April to May 2020. The home health care program was implemented for one month to provide nursing care to the families. Data were collected using self-administered questionnaires, and SPSS software was employed for data analysis. Chi-square tests were applied for categorical variables, while paired t-tests were used for continuous variables. Results: Significant differences were observed in blood pressure, pulse, and temperature before and after the implementation of home health care during the physical distancing period (p<0.05). There was an increase in body mass index (23.29(5.59) vs. 23.78(7.53); p=0.001). Notably, significant differences were also found in COVID-19 exposure risk factors, personal risk factors, sleep patterns, and physical activity before and after home health care (p<0.05). Furthermore, improvements were noted in self-efficacy, family social function, and the quality of life of the families after one month of home health care (p<0.05). Conclusion: Home health care during physical distancing positively affected the physical and psychosocial aspects, self-efficacy, family social function, and quality of life of the families. Thus, the guidance and support offered through home health care should be further developed to help families navigate the "new normal" era of COVID-19. [ABSTRACT FROM AUTHOR]

Background The rapid global emergence of the COVID-19 pandemic in early 2020 created urgent demand for leading indicators to track the spread of the virus and assess the consequences of public health measures designed to limit transmission. Public transit mobility, which has been shown to be responsive to previous societal disruptions such as disease outbreaks and terrorist attacks, emerged as an early candidate. Methods We conducted a longitudinal ecological study of the association between public transit mobility reductions and COVID-19 transmission using publicly available data from a public transit app in 40 global cities from March 16 to April 12, 2020. Multilevel linear regression models were used to estimate the association between COVID-19 transmission and the value of the mobility index 2 weeks prior using two different outcome measures: weekly case ratio and effective reproduction number. Results Over the course of March 2020, median public transit mobility, measured by the volume of trips planned in the app, dropped from 100% (first quartile (Q1)–third quartile (Q3) = 94–108%) of typical usage to 10% (Q1–Q3 = 6–15%). Mobility was strongly associated with COVID-19 transmission 2 weeks later: a 10% decline in mobility was associated with a 12.3% decrease in the weekly case ratio (exp(β) = 0.877; 95% confidence interval (CI): [0.859–0.896]) and a decrease in the effective reproduction number (β = −0.058; 95% CI: [−0.068 to −0.048]). The mobility-only models explained nearly 60% of variance in the data for both outcomes. The adjustment for epidemic timing attenuated the associations between mobility and subsequent COVID-19 transmission but only slightly increased the variance explained by the models. Discussion Our analysis demonstrated the value of public transit mobility as a leading indicator of COVID-19 transmission during the first wave of the pandemic in 40 global cities, at a time when few such indicators were available. Factors such as persistently depressed demand for public transit since the onset of the pandemic limit the ongoing utility of a mobility index based on public transit usage. This study illustrates an innovative use of “big data” from industry to inform the response to a global pandemic, providing support for future collaborations aimed at important public health challenges.

AIMS: Public health responses to reduce SARS-CoV-2 transmission have profoundly affected the epidemiology and management of other infections. We examined the impact of COVID-19 restrictions on antibiotic dispensing in Australia. METHODS: We used national claims data to investigate antibiotic dispensing trends from November 2015 to October 2020 and whether changes reflected reductions in primary care consultations. We used interrupted time series analysis to quantify changes in monthly antibiotic dispensing and face-to-face and telehealth GP consultations and examined changes by recipient age, pharmacy State and prescriber specialty. RESULTS: Over the study period, an estimated 19 921 370 people had 125 495 137 antibiotic dispensings, 71% prescribed by GPs. Following COVID-19 restrictions, we observed a sustained 36% (95% CI: 33-40%) reduction in antibiotic dispensings from April 2020. Antibiotics recommended for managing respiratory tract infections showed large reductions (range 51-69%), whereas those recommended for non-respiratory infections were unchanged. Dispensings prescribed by GPs decreased from 63.5 per 1000 population for April-October 2019 to 37.0 per 1000 for April-October 2020. Total GP consultation rates remained stable, but from April 2020, 31% of consultations were telehealth. CONCLUSION: In a setting with a low COVID-19 incidence, restrictions were associated with a substantial reduction in community dispensings of antibiotics primarily used to treat respiratory infections, coincident with reported reductions in respiratory viral infections. Our findings are informative for post-pandemic antimicrobial stewardship and highlight the potential to reduce inappropriate prescribing by GPs and specialists for respiratory viral infections.

BackgroundDuring the COVID-19 pandemic in 2020, concerns were raised about the potential impact of pandemic-related social distancing measures on existing health disparities among sexual and gender minority (SGM) young adults, including HIV transmission risk and intimate partner violence (IPV). Another concern was the potential for increased methamphetamine use during the pandemic, which is a known risk factor for HIV transmission and IPV.MethodsThe present analysis examines the impact of COVID-19 social distancing (social distancing and quarantining) and methamphetamine use on HIV risk and IPV in a combined dataset from 3 cohort studies of SGM young adults (two in Los Angeles and one in Chicago) from May 2020 to April 2021 (n = 1142). Bivariate analyses and multivariable logistic regressions were estimated.ResultsThe median age was 26. All participants were assigned male at birth and most participants were men (93.8%). The largest racial groups were Hispanic/Latinx (44.6%) and Black (29.0%). In adjusted models methamphetamine use was consistently associated with having a new sex partner, higher numbers of sex partners, and experience of IPV, during the pandemic. Reporting no social distancing and reporting one social distancing behavior, were associated with experience of IPV relative to reporting 2 social distancing behaviors. Social distancing was not associated with sexual risk behavior or Pre-exposure Prophylaxis use.ConclusionsSGM young adults live at the intersection of multiple vulnerabilities during the COVID-19 pandemic. Addiction services, HIV prevention services, and violence support services should be prepared to support young adult SGM needs, particularly those who use methamphetamine.

Abstract Few studies have examined preventative behaviour practices with respect to COVID-19 among people living with HIV (human immunodeficiency virus). Using a cross-sectional survey from a Canadian Institutes of Health Research Canadian HIV Trials Network study (CTN 328) of people living with HIV on vaccine immunogenicity, we examined the relationships between participant characteristics and behavioural practices intended to prevent COVID-19 infection. Participants living in four Canadian urban centers were enrolled between April 2021–January 2022, at which time they responded to a questionnaire on preventative behaviour practices. Questionnaire and clinical data were combined to explore relationships between preventive behaviours and (1) known COVID-19 infection pre-enrolment, (2) multimorbidity, (3) developing symptomatic COVID-19 infection, and (4) developing symptomatic COVID-19 infection during the Omicron wave. Among 375 participants, 49 had COVID-19 infection pre-enrolment and 88 post-enrolment. The proportion of participants reporting always engaging in preventative behaviours included 87% masking, 79% physical distancing, 70% limiting social gatherings, 65% limiting contact with at-risk individuals, 33% self-isolating due to symptoms, and 26% self-quarantining after possible exposure. Participants with known COVID-19 infection pre-enrolment were more likely to self-quarantine after possible exposure although asymptomatic (65.0% vs 23.4%, p

We measure the benefit to society created by preventing COVID-19 deaths through a marginal increase in early social distancing. We exploit county-level rainfall on the last weekend before statewide lockdown in the early phase of the pandemic. After controlling for historical rainfall, temperature, and state fixed-effects, current rainfall is a plausibly exogenous instrument for social distancing. A one percent decrease in the population leaving home on the weekend before lockdown creates an average of 132 dollars of benefit per county resident within 2 weeks. The impacts of earlier distancing compound over time and mainly arise from lowering the risk of a major outbreak, yielding large but unevenly distributed social benefit.

BackgroundLittle information exists on how COVID-19 testing influences intentions to engage in risky behavior. Understanding the behavioral effects of diagnostic testing may highlight the role of adequate testing on controlling viral transmission. In order to evaluate these effects, simulated scenarios were conducted evaluating participant intentions to self-isolate based on COVID-19 diagnostic testing availability and results.MethodsParticipants from the United States were recruited through an online survey platform (Amazon Mechanical Turk) and randomized to one of three hypothetical scenarios. Each scenario asked participants to imagine having symptoms consistent with COVID-19 along with a clinical diagnosis from their physician. However, scenarios differed in either testing availability (testing available v. unavailable) or testing result (positive v. negative test). The primary outcome was intention to engage in high-risk COVID-19 behaviors, measured using an 11-item mean score (range 1-7) that was pre-registered prior to data collection. Multi-variable linear regression was used to compare the mean composite scores between conditions. The randomized survey was conducted between July 23rd to July 29th, 2020.ResultsA total of 1400 participants were recruited through a national, online, opt-in survey. Out of 1194 respondents (41.6% male, 58.4% female) with a median age of 38.5 years, participants who had no testing available in their clinical scenario showed significantly greater intentions to engage in behavior facilitating COVID-19 transmission compared to those who received a positive confirmatory test result scenario (mean absolute difference (SE): 0.14 (0.06), P = 0.016), equating to an 11.1% increase in mean score risky behavior intentions. Intention to engage in behaviors that can spread COVID-19 were also positively associated with male gender, poor health status, and Republican party affiliation.ConclusionTesting availability appears to play an independent role in influencing behaviors facilitating COVID-19 transmission. Such findings shed light on the possible negative externalities of testing unavailability.Trial registrationEffect of Availability of COVID-19 Testing on Choice to Isolate and Socially Distance, NCT04459520, https://clinicaltrials.gov/ct2/show/NCT04459520.

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.

BackgroundNo versatile web app exists that allows epidemiologists and managers around the world to comprehensively analyze the impacts of COVID-19 mitigation. The http://covid-webapp.numerusinc.com/ web app presented here fills this gap.MethodsOur web app uses a model that explicitly identifies susceptible, contact, latent, asymptomatic, symptomatic and recovered classes of individuals, and a parallel set of response classes, subject to lower pathogen-contact rates. The user inputs a CSV file of incidence and, if of interest, mortality rate data. A default set of parameters is available that can be overwritten through input or online entry, and a user-selected subset of these can be fitted to the model using maximum-likelihood estimation (MLE). Model fitting and forecasting intervals are specifiable and changes to parameters allow counterfactual and forecasting scenarios. Confidence or credible intervals can be generated using stochastic simulations, based on MLE values, or on an inputted CSV file containing Markov chain Monte Carlo (MCMC) estimates of one or more parameters.ResultsWe illustrate the use of our web app in extracting social distancing, social relaxation, surveillance or virulence switching functions (i.e., time varying drivers) from the incidence and mortality rates of COVID-19 epidemics in Israel, South Africa, and England. The Israeli outbreak exhibits four distinct phases: initial outbreak, social distancing, social relaxation, and a second wave mitigation phase. An MCMC projection of this latter phase suggests the Israeli epidemic will continue to produce into late November an average of around 1500 new case per day, unless the population practices social-relaxation measures at least 5-fold below the level in August, which itself is 4-fold below the level at the start of July. Our analysis of the relatively late South African outbreak that became the world's fifth largest COVID-19 epidemic in July revealed that the decline through late July and early August was characterised by a social distancing driver operating at more than twice the per-capita applicable-disease-class (pc-adc) rate of the social relaxation driver. Our analysis of the relatively early English outbreak, identified a more than 2-fold improvement in surveillance over the course of the epidemic. It also identified a pc-adc social distancing rate in early August that, though nearly four times the pc-adc social relaxation rate, appeared to barely contain a second wave that would break out if social distancing was further relaxed.ConclusionOur web app provides policy makers and health officers who have no epidemiological modelling or computer coding expertise with an invaluable tool for assessing the impacts of different outbreak mitigation policies and measures. This includes an ability to generate an epidemic-suppression or curve-flattening index that measures the intensity with which behavioural responses suppress or flatten the epidemic curve in the region under consideration.

Violent crime increased and most property crime decreased in many United States (US) cities during the coronavirus pandemic. Using negative binomial regressions, we examined the association between physical distancing (a central coronavirus containment strategy) and crime within 16 large cities (in 12 US states and the District of Columbia) through July 2020. Physical distancing was measured with aggregated smartphone data and defined as the average change in the percentage of the population staying completely at home. Outcome data were obtained from the Gun Violence Archive and city open data portals. In multivariable models, increases in the percentage of the population staying home were associated with decreases in reported incidents of aggravated assault, interpersonal firearm violence, theft, rape, and robbery, and increases in arson, burglary, and motor vehicle theft. Results suggest that changes in the frequency of interpersonal interactions affected crime during the coronavirus pandemic. More research is needed on the specificity of these assocations and their underlying mechanisms.

Background/Objectives: The COVID-19 pandemic has profoundly affected the lives of adolescents worldwide, especially those living with chronic diseases. This study aims to explore the impact of the COVID-19 pandemic on the daily lives of adolescents with chronic diseases. Methods: This is a scoping review that follows the guidelines proposed by JBI. Eligibility criteria include articles focusing on adolescents aged 10 to 19 during the COVID-19 pandemic, regardless of chronic diseases. Searches were performed in PUBMED, LILACS, CINAHL, SCOPUS, grey literature, and manual searches in March 2024. Results: This review is composed of 35 articles. The analysis revealed two main categories: (1) Adolescents facing social isolation, school closure, and new family interactions, striving to reinvent themselves, and (2) Chasing the best decision: following up the chronic disease while fighting the COVID-19 pandemic. These categories encompass subcategories highlighting changes in social and family interactions and lifestyle habits. The findings suggest a multifaceted interaction of factors influencing adolescents’ well-being, including improved family bonding, heightened disease management, and increased stress and strains on resources. Conclusions: This review emphasizes the importance of long-term follow-up and social inclusion efforts for adolescents with chronic diseases and their families, addressing their unique needs during public health crises.

Social interactions play an extremely important role in maintaining health and well-being. The COVID-19 pandemic and associated physical distancing measures, however, restricted the number of people one could physically interact with on a regular basis. A large percentage of social interactions moved online, resulting in reports of "Zoom fatigue," or exhaustion from virtual interactions. These reports focused on how online communication differs from in-person communication, but it is possible that when in-person interactions are restricted, virtual interactions may benefit mental health overall. In a survey conducted near the beginning of the COVID-19 pandemic (N2020 = 230), we found that having a greater number of virtual interaction partners was associated with better mental health. This relationship was statistically mediated by decreased loneliness and increased perceptions of social support. We replicated these findings during the pandemic 1 year later (N2021 = 256) and found that these effects held even after controlling for the amount of time people spent interacting online. Convergent with previous literature on social interactions, these findings suggest that virtual interactions may benefit overall mental health, particularly during physical distancing and other circumstances where opportunities to interact in-person with different people are limited.Open Science Framework repository: https://osf.io/6jsr2/ .

Humans have outsized effects on ecosystems, in part by initiating trophic cascades that impact all levels of the food chain.1,2 Theory suggests that disease outbreaks can reverse these impacts by modifying human behavior,3,4 but this has not yet been tested. The COVID-19 pandemic provided a natural experiment to test whether a virus could subordinate humans to an intermediate link in the trophic chain, releasing a top carnivore from a landscape of fear. Shelter-in-place orders in the Bay Area of California led to a 50% decline in human mobility, which resulted in a relaxation of mountain lion aversion to urban areas. Rapid changes in human mobility thus appear to act quickly on food web functions, suggesting an important pathway by which emerging infectious diseases will impact not only human health but ecosystems as well.

This cross-sectional study examines the spread of misinformation regarding the Danish Study to Assess Face Masks for the Protection Against COVID-19 Infection on Facebook.

Adherence to non-pharmaceutical interventions to prevent the transmission of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been highly variable across settings, particularly in the USA. In this Personal View, we review data supporting the importance of the viral inoculum (the dose of viral particles from an infected source over time) in increasing the probability of infection in respiratory, gastrointestinal, and sexually transmitted viral infections in humans. We also review the available evidence linking the relationship of the viral inoculum to disease severity. Non-pharmaceutical interventions might reduce the susceptibility to SARS-CoV-2 infection by reducing the viral inoculum when there is exposure to an infectious source. Data from physical sciences research suggest that masks protect the wearer by filtering virus from external sources, and others by reducing expulsion of virus by the wearer. Social distancing, handwashing, and improved ventilation also reduce the exposure amount of viral particles from an infectious source. Maintaining and increasing non-pharmaceutical interventions can help to quell SARS-CoV-2 as we enter the second year of the pandemic. Finally, we argue that even as safe and effective vaccines are being rolled out, non-pharmaceutical interventions will continue to play an essential role in suppressing SARS-CoV-2 transmission until equitable and widespread vaccine administration has been completed.