Community-Level Social Support to Mitigate the Impact of Combined Frailty and Multimorbidity on Psychological Distress Among Rural Chinese Older Adults During the COVID-19 Pandemic: Multilevel Modeling Study.

BACKGROUND: Accumulating research provides evidence that the psychological health of older people deteriorated from before to during the COVID-19 pandemic. Unlike robust individuals, coexisting frailty and multimorbidity expose older adults to more complicated and wide-ranging stressors. Community-level social support (CSS) is also an important impetus for age-friendly interventions, and it is 1 of the components of social capital that is seen as an ecological-level property. To date, we have not found research that examines whether CSS buffered the adverse impacts of combined frailty and multimorbidity on psychological distress in a rural setting during COVID-19 in China. OBJECTIVE: This study explores the combined effect of frailty and multimorbidity on psychological distress in rural Chinese older adults during the COVID-19 pandemic and examines whether CSS would buffer the aforementioned association. METHODS: Data used in this study were extracted from 2 waves of the Shandong Rural Elderly Health Cohort (SREHC), and the final analytic sample included 2785 respondents who participated in both baseline and follow-up surveys. Multilevel linear mixed effects models were used to quantify the strength of the longitudinal association between frailty and multimorbidity combinations and psychological distress using 2 waves of data for each participant, and then, cross-level interactions between CSS and combined frailty and multimorbidity were included to test whether CSS would buffer the adverse impact of coexisting frailty and multimorbidity on psychological distress. RESULTS: Frail older adults with multimorbidity reported the most psychological distress compared to individuals with only 1 or none of the conditions (ß=.68, 95% CI 0.60-0.77, P<.001), and baseline coexisting frailty and multimorbidity predicted the most psychological distress during the COVID-19 pandemic (ß=.32, 95% CI 0.22-0.43, P<.001). Further, CSS moderated the aforementioned association (ß=-.16, 95% CI -0.23 to -0.09, P<.001), and increased CSS buffered the adverse effect of coexisting frailty and multimorbidity on psychological distress during the COVID-19 pandemic (ß=-.11, 95% CI -0.22 to -0.01, P=.035). CONCLUSIONS: Our findings suggest that more public health and clinical attention should be paid to psychological distress among multimorbid older adults with frailty when facing public health emergencies. This research also suggests that community-level interventions prioritizing social support mechanisms, specifically improving the average levels of social support within communities, may be an effective approach to alleviate psychological distress for rural older adults who concurrently manifest frailty and multimorbidity.

When case reporting becomes untenable: Can sewer networks tell us where COVID-19 transmission occurs?

Monitoring SARS-CoV-2 in wastewater is a valuable approach to track COVID-19 transmission. Designing wastewater surveillance (WWS) with representative sampling sites and quantifiable results requires knowledge of the sewerage system and virus fate and transport. We developed a multi-level WWS system to track COVID-19 in Atlanta using an adaptive nested sampling strategy. From March 2021 to April 2022, 868 wastewater samples were collected from influent lines to wastewater treatment facilities and upstream community manholes. Variations in SARS-CoV-2 concentrations in influent line samples preceded similar variations in numbers of reported COVID-19 cases in the corresponding catchment areas. Community sites under nested sampling represented mutually-exclusive catchment areas. Community sites with high SARS-CoV-2 detection rates in wastewater covered high COVID-19 incidence areas, and adaptive sampling enabled identification and tracing of COVID-19 hotspots. This study demonstrates how a well-designed WWS provides actionable information including early warning of surges in cases and identification of disease hotspots.

Recursive Zero-COVID model and quantitation of control efforts of the Omicron epidemic in Jilin province.

Since the beginning of March 2022, the epidemic due to the Omicron variant has developed rapidly in Jilin Province. To figure out the key controlling factors and validate the model to show the success of the Zero-COVID policy in the province, we constructed a Recursive Zero-COVID Model quantifying the strength of the control measures, and defined the control reproduction number as an index for describing the intensity of interventions. Parameter estimation and sensitivity analysis were employed to estimate and validate the impact of changes in the strength of different measures on the intensity of public health preventions qualitatively and quantitatively. The recursive Zero-COVID model predicted that the dates of elimination of cases at the community level of Changchun and Jilin Cities to be on April 8 and April 17, respectively, which are consistent with the real situation. Our results showed that the strict implementation of control measures and adherence of the public are crucial for controlling the epidemic. It is also essential to strengthen the control intensity even at the final stage to avoid the rebound of the epidemic. In addition, the control reproduction number we defined in the paper is a novel index to measure the intensity of the prevention and control measures of public health.

Community-level characteristics of COVID-19 vaccine hesitancy in England: A nationwide cross-sectional study.

One year after the start of the COVID-19 vaccination programme in England, more than 43 million people older than 12 years old had received at least a first dose. Nevertheless, geographical differences persist, and vaccine hesitancy is still a major public health concern; understanding its determinants is crucial to managing the COVID-19 pandemic and preparing for future ones. In this cross-sectional population-based study we used cumulative data on the first dose of vaccine received by 01-01-2022 at Middle Super Output Area level in England. We used Bayesian hierarchical spatial models and investigated if the geographical differences in vaccination uptake can be explained by a range of community-level characteristics covering socio-demographics, political view, COVID-19 health risk awareness and targeting of high risk groups and accessibility. Deprivation is the covariate most strongly associated with vaccine uptake (Odds Ratio 0.55, 95%CI 0.54-0.57; most versus least deprived areas). The most ethnically diverse areas have a 38% (95%CI 36-40%) lower odds of vaccine uptake compared with those least diverse. Areas with the highest proportion of population between 12 and 24 years old had lower odds of vaccination (0.87, 95%CI 0.85-0.89). Finally increase in vaccine accessibility is associated with COVID-19 vaccine coverage (OR 1.07, 95%CI 1.03-1.12). Our results suggest that one year after the start of the vaccination programme, there is still evidence of inequalities in uptake, affecting particularly minorities and marginalised groups. Strategies including prioritising active outreach across communities and removing practical barriers and factors that make vaccines less accessible are needed to level up the differences.

Correlations between the urban built environmental factors and the spatial distribution at the community level in the reported COVID-19 samples: A case study of Wuhan.

COVID-19 has dramatically changed the lifestyle of people, especially in urban environments. This paper investigated the variations of built environments that were measurably associated with the spread of COVID-19 in 150 Wuhan communities. The incidence rate in each community before and after the lockdown (January 23, 2020), as respective dependent variables, represented the situation under normal circumstances and non-pharmaceutical interventions (NPI). After controlling the population density, floor area ratio (FAR), property age and sociodemographic factors, the built environmental factors in two spatial dimensions, the 15-minute walking life circle and the 10-minute cycling life circle, were brought into the Hierarchical Linear Regression Model and the Ridge Regression Model. The results indicated that before lockdown, the number of markets and schools were positively associated with the incidence rate, while community population density and FAR were negatively associated with COVID-19 transmission. After lockdown, FAR, GDP, the number of hospitals (in the 15-minute walking life circle) and the bus stations (in the 10-minute cycling life circle) became negatively correlated with the incidence rate, while markets remained positive. This study effectively extends the discussions on the association between the urban built environment and the spread of COVID-19. Meanwhile, given the limitations of sociodemographic data sources, the conclusions of this study should be interpreted and applied with caution.

Voicing resilience through subjective well-being: community perspectives on responding to water stressors and COVID-19

Interactions among social inequalities, environmental stressors, and shocks are illustrated through communities??? subjective experiences of water-related challenges and responses to crises. This situation is perhaps most visible in the COVID-19 pandemic???s impact on marginalized communities where climate change and systemic inequities are already threatening access to water and sanitation. It is critical to integrate dimensions related to well-being into research about vulnerable communities??? capacities and strategies for coping and adapting to such crises. Here, we investigate water-related risks to health and well-being using a subjectivity lens, a particularly useful tool for understanding community-level resilience to lesser-known stressors and crisis impacts. To inform this study, we used households??? self-reported water issues in Cape Town, South Africa???s low-income areas from before the pandemic, in addition to community responses during the pandemic. The findings show how inadequate access to water and sanitation affects people???s health and well-being, both directly by exposure to wastewater and impaired hygiene, and indirectly by creating stress and social conflict, and undermining subsistence gardening and medical self-care. However, our study also illustrates how grassroots-led responses to the COVID-19 crisis address these vulnerabilities and identify priorities for managing water to support well-being. The results demonstrate two ways that subjective perceptions of well-being can help to promote resilience: first, by identifying stressors that undermine community well-being and adaptive capacity;and second, by voicing community experiences that can help to guide crisis responses and initiatives critical for adapting to social-ecological shocks. The results have important implications for enabling transformative change that aligns efforts to address issues linked to poverty and inequality with those seeking to respond to environmental emergencies.

Communication in the age of a global pandemic: Qualitative remediation at the community level

The COVID-19 pandemic is affecting communities worldwide today in many novel ways. The rapidity at which the disease is transmitted and the amount of information available in real-time creates a unique situation. This research, based on qualitative remediation at the community level, provides a fertile ground from which significant patterns are emerging. The authors reviewed the literature available as well as over 100 individual sites of local administrations, faith-based, NGOs, local charitable and community initiatives. It is premature to project an accurate picture of how to alleviate best the distress caused by a pandemic. However, some significant and credible patterns have emerged that lead to conclude that, next to transparency, initiatives based on proactive use of peer to peer e.communication, direct e.outreach, and e.collaboration between parties lead to constructive and successful initiatives. (PsycInfo Database Record (c) 2022 APA, all rights reserved)

Assessing community-level COVID-19 infection risk through three-generational household concentration in Nebraska, U.S.: An approach for COVID-19 prevention.

The three-generational household was a focal point of concern for school and community the Coronavirus Disease 2019 (COVID-19) transmission. The current study, using small area data and household variables, reported an approach to neighborhood-level COVID-19 mitigation for school reopening and communities returning to normalcy. The study started with an age-stratified Poisson regression to examine the association between the proportion of three-generational households and COVID-19 infection rates based on data from 74 census tracts in Lancaster County, Nebraska, U.S. from March 5, 2020 to August 22, 2020, followed by mapping the model-based risk score by census tract in the study area. We explored the feasibility of using COVID-19 infection rates and vaccination rates to inform decision-making on school opening from March 5, 2020 to February 3, 2021. The overall infection rate increased by 3% for every unit increased in the percentage of three-generational households after controlling for other covariates in the model. The census tracts were classified into low-, medium-, and high-priority neighborhoods for potential community-based interventions, such as targeted messages for household hygiene and isolation strategies.

Kloman Metre: An EMD-Based Tool for Triaging Diseases Leading to Lung Infections Including COVID-19

The digital revolution can help developing countries to overcome the problem of limited healthcare infrastructure in developing nations such as India. The COVID-19 pandemic has shown the urgency of integration of digital technologies into healthcare infrastructure. In order to solve the issue of lack of trained healthcare professionals at public health centres (PHCs), researchers are trying to build tools which can help to tag pulmonary ailment within a fraction of second. Such tagging will help the medical community to utilize their time more efficiently. In this work, we have tried to assess the “lung health” of patients suffering from a variety of pulmonary diseases including COVID-19, tuberculosis and pneumonia by applying Earth Mover’s Distance algorithm to the X-ray images of the patients. The lung X-ray images of patients suffering from pneumonia, TB and COVID-19 and healthy persons are pooled together from various datasets. Our preliminary data based upon 100 random images depicting each type of lung disease such as COVID-19, tuberculosis and pneumonia revealed that patients suffering from tuberculosis have the highest severity as per the values obtained from the EMD scale. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Role of Religious Leaders in COVID-19 Prevention: A Community-Level Prevention Model in Sri Lanka.

The COVID-19 pandemic has affected all countries irrespective of their state of development. In countries with traditional societies, religious leaders have been acknowledged as key stakeholders in community engagement activities, including disease prevention. A community-level prevention model was established in 2020 by the Health Promotion Bureau (HPB), Sri Lanka, which incorporated mobilisation of the clergy to support the prevention and response schemes to COVID-19 with non-governmental stakeholders. This model was part of a more extensive community engagement network established by the HPB in cooperation with the country offices for WHO and UNICEF. Building trust, empowering behavioural traits applicable to minimise risks from COVID-19, leadership and coordination, message dissemination, addressing stigma and discrimination, supporting testing procedures, contact tracing activities and vaccination, building community resilience, spiritual and psychosocial support, and welfare provision are some of the useful factors that were identified in the model. Furthermore, a much broader and holistic approach is needed to focus on health behaviours and social and cultural aspects in a multi-faceted nature. This paper highlights a novel COVID-19 prevention model with active involvement of religious leaders that can be implemented in low resource settings. Our experience from Sri Lanka demonstrates the feasibility of implementing this model to mitigate the disastrous situation following the COVID-19 outbreak.

Predictors of Adolescent Resilience During the COVID-19 Pandemic: Cognitive Reappraisal and Humor.

PURPOSE: The COVID-19 pandemic and efforts to slow the spread of disease have particularly affected the lives of adolescents. Many studies have recently identified the risks to adolescent mental health posed by the COVID-19 pandemic, yet few have identified the markers of resilience to the events and concerns associated with the pandemic's lived experience. This study examined the moderating role of psychosocial resources in the association between the tangible and emotional experiences of the COVID-19 pandemic and symptoms of common psychiatric problems during adolescence (depression, anxiety, proactive and reactive aggression, and sleep problems). METHODS: Participants were adolescents in the United States who were oversampled for early life adversity before the COVID-19 pandemic. The psychosocial resources assessed were humor styles, emotion regulation, social support, optimism, and purpose in life, which have previously been identified as protective in the acute aftermath of stressful events. RESULTS: Greater COVID-19 impact was associated with more anxiety, depressive symptoms, sleep disturbance, and proactive aggression. COVID-19 impact and psychiatric symptoms were unrelated among youth reporting high self-enhancing humor and cognitive reappraisal. CONCLUSIONS: Adolescents high in humor and cognitive reappraisal may be protected against the mental health correlates of the COVID-19 pandemic and other prolonged stressors. Importantly, these factors are known to be modifiable through behavioral interventions. Attention to their effectiveness in prevention and intervention studies is needed as the pandemic continues to exert its impact on individuals and society.

Community-Level Prevention of Childhood Maltreatment: Next Steps in a World with COVID-19.

Maltreatment of children continues to be a major public health concern, with high social, economic and health burdens. Rates vary by a number of factors that can be categorized into different levels of the social ecology. Research and theory in this field point to the importance of community-level factors that can contribute to either risk or prevention of child maltreatment. The COVID-19 pandemic context creates additional risks and concerns related to child maltreatment and exacerbates risk factors that existed before: e.g., families and communities are in much worsened states of poverty, unemployment, and food insecurity; losses and grief are affecting mental health; and limitations and safety concerns are affecting in-person child protection work and more. Central to recovery from this pandemic will be the mobilization of community-level resources and the building back up of the social fabric that can support vulnerable children and caregivers. Key to this mobilization will be a better intersectional understanding of structural inequities in the child welfare system and in our communities. Efforts to dismantle structural biases and discrimination are critical to provide safety and support for families and vital for effective child maltreatment prevention. In this context, we discuss the state of the science of community-level prevention of childhood maltreatment, highlighting evidence-based community-level prevention programs and how these types of efforts may be impacted by the current COVID-19 global pandemic.

A Surveillance System for the Maternal and Child Health (MCH) Population During the COVID-19 Pandemic.

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), the causative agent for coronavirus disease 2019 (COVID-19), and its ensuing mitigation measures have negatively affected the Maternal and Child Health (MCH) population. There is currently no surveillance system established to enhance our understanding of SARS-CoV-2 transmission to guide policy decision making to protect the MCH population in this pandemic. Based on reports of community and household spread of this novel infection, we present an approach to a robust family-centered surveillance system for the MCH population. The surveillance system encapsulates data at the individual and community levels to inform stakeholders, policy makers, health officials and the general public about SARS-CoV-2 transmission dynamics within the MCH population.