Project description:Social distancing policies (SDPs) implemented in response to the COVID-19 pandemic have led to temporal and spatial shifts in water demand across cities. Water utilities need to understand these demand shifts to respond to potential operational and water-quality issues. Aided by a fixed-effects model of citywide water demand in Austin, Texas, we explore the impacts of various SDPs (e.g., time after the stay home-work safe order, reopening phases) using daily demand data gathered between 2013 and 2020. Our approach uses socio-technical determinants (e.g., climate, water conservation policy) with SDPs to model water demand, while accounting for spatial and temporal effects (e.g., geographic variations, weekday patterns). Results indicate shifts in behavior of residential and nonresidential demands that offset the change at the system scale, demonstrating a spatial redistribution of water demand after the stay home-work safe order. Our results show that some phases of Texas's reopening phases had statistically significant relationships to water demand. While this yielded only marginal net effects on overall demand, it underscores behavioral changes in demand at sub-system spatial scales. Our discussions shed light on SDPs' impacts on water demand. Equipped with our empirical findings, utilities can respond to potential vulnerabilities in their systems, such as water-quality problems that may be related to changes in water pressure in response to demand variations.
Project description:The Sustainable Development Goals (SDGs) recognise the critical need to improve population health and environmental sustainability. This paper describes the development of a microsimulation model, MicroEnv, aimed at quantifying the impact of environmental exposures on health as an aid to selecting policies likely to have greatest benefit. Its methods allow the integration of morbidity and mortality outcomes and the generation of results at high spatial resolution. We illustrate its application to the assessment of the impact of air pollution on health in London. Simulations are performed at Lower Layer Super Output Area (LSOA), the smallest geographic unit (population of around 1500 inhabitants) for which detailed socio-demographic data are routinely available in the UK. The health of each individual in these LSOAs is simulated year-by-year using a health-state-transition model, where transition probabilities from one state to another are based on published statistics modified by relative risks that reflect the effect of environmental exposures. This is done through linkage of the simulated population in each LSOA with 1?×?1 km annual average PM2.5 concentrations and area-based deprivation indices. Air pollution is a leading cause of mortality and morbidity globally, and improving air quality is critical to the SDGs for Health (Goal 3) and Cities (Goal 11). The evidence of MicroEnv is aimed at providing better understanding of the benefits for population health and health inequalities of policy actions that affect exposure such as air quality, and thus to help shape policy decisions. Future work will extend the model to integrate other environmental determinants of health.
Project description:The geographic dispersion of the U.S. immigrant population has occurred alongside a dramatic increase in state-level immigration laws that has unfolded unevenly across states, creating markedly different state immigrant policy climates. Although not all such laws are health-related, they have potential implications for immigrants' health care utilization. Using data from the 2014 Survey of Income and Program Participation, we leverage the geographic variation in the restrictiveness of state immigrant policy climates to examine the association between state-level immigrant policies and health provider visits-a fundamental indicator of health care utilization-among immigrant adults. Results indicate that restrictive immigrant policy climates exacerbate nativity gaps in health provider visits among working-age adults and, to a lesser extent, among older adults. Our findings suggest that even immigrant policies not directly related to health have consequences for immigrants' health care utilization.
Project description:INTRODUCTION:Schools are in a unique position to meet the mental and behavioral health needs of children and adolescents because approximately 95% of young people aged 7-17 years attend school. Little is known, however, about policies related to counseling, psychological, and social services staffing in school districts. This study analyzed the prevalence of such policies in public school districts in the U.S. METHODS:Data from four cycles (2000, 2006, 2012, and 2016) of the School Health Policies and Practices Study, a national survey periodically conducted to assess policies and practices for ten components of school health, were analyzed in 2017. The survey collected data related to counseling, psychological, and social services among nationally representative samples of school districts using online or mailed questionnaires. Sampled districts identified respondents responsible for or most knowledgeable about the content of each questionnaire. RESULTS:The percentage of districts with a district-level counseling, psychological, and social services coordinator increased significantly from 62.6% in 2000 to 79.5% in 2016. In 2016, 56.3% of districts required each school to have someone to coordinate counseling, psychological, and social services at the school. Fewer districts required schools at each level to have a specified ratio of counselors to students (16.2% for elementary schools, 16.8% for middle schools, and 19.8% for high schools), and the percentage of districts with these requirements has decreased significantly since 2012. CONCLUSIONS:Increases in the prevalence of district-level staffing policies could help increase the quantity and quality of counseling, psychological, and social services staff in schools nationwide, which in turn could improve mental and behavioral health outcomes for students. SUPPLEMENT INFORMATION:This article is part of a supplement entitled The Behavioral Health Workforce: Planning, Practice, and Preparation, which is sponsored by the Substance Abuse and Mental Health Services Administration and the Health Resources and Services Administration of the U.S. Department of Health and Human Services.
Project description:Social integration has been related to risk of chronic diseases and mental health conditions.We investigated the association between social integration in midlife with subsequent health and well-being in aging.We included women from the Nurses' Health Study in the United States, who had no major chronic diseases in 1996 when we assessed social integration, using the Berkman-Syme Social Network Index. We defined healthy aging after 16?years of follow-up, when women ranged from 66 to 91?years, on the basis of survival along with 4 health criteria, assessed in 2012: no history of major chronic disease diagnosis, no self-reported impairment in memory, and no major impairments in physical function or mental health.Of the 41,013 surviving participants in 2012 with information on social integration and health criteria, 6206 (15.1%) were healthy agers (i.e., met all four criteria) and the remaining 34,807 (84.9%) were usual agers. After multivariable adjustment, women who were socially integrated at midlife had modestly better odds (odds ratio?=?1.38, 95% confidence interval: 1.23, 1.55) of healthy aging compared to women who were socially isolated.In this study, we found that women who were more socially integrated were more likely to be healthy agers. The results provide evidence for a longitudinal association between social integration and healthy aging.
Project description:This study examines the effects of local and nationwide COVID-19 disease control measures on the health and economy of China's rural population. We conducted phone surveys with 726 randomly selected village informants across seven rural Chinese provinces in February 2020. Four villages (0.55%) reported infections, and none reported deaths. Disease control measures had been universally implemented in all sample villages. About 74% of informants reported that villagers with wage-earning jobs outside the village had stopped working due to workplace closures. A higher percentage of rural individuals could not work due to transportation, housing, and other constraints. Local governments had taken measures to reduce the impact of COVID-19. Although schools in all surveyed villages were closed, 71% of village informants reported that students were attending classes online. Overall, measures to control COVID-19 appear to have been successful in limiting disease transmission in rural communities outside the main epidemic area. Rural Chinese citizens, however, have experienced significant economic consequences from the disease control measures.
Project description:COVID-19 has stretched the U.S. social safety net and prompted federal legislation designed to ameliorate the pandemic's health and economic impacts. We surveyed a nationally representative cohort of 1222 U.S. adults in April 2020 and November 2020 to evaluate changes in public opinion about 11 social safety net policies and the role of government over the course of the pandemic. A majority of U.S. adults supported six policies at both time points, including policies guaranteeing two weeks of paid sick leave; enacting universal health insurance; increasing the federal minimum wage; and increasing government spending on construction projects, business tax credits, and employment education and training. From April to November 2020, public support was stable for nine of the 11 policies but declined nearly 10 percentage points for policies guaranteeing two weeks paid sick leave (from 76% support in April 2020 to 67% support in November 2020) and extending unemployment insurance benefits (51% to 42%). Declines in support for these two policies were concentrated among those with higher incomes, more education, in better health status, the employed, and those with health insurance. The share of respondents believing in a strong role of government also declined from 33% in April to 26% in November 2020 (p > 0.05). Despite these shifts, we observed consistent majority support for several policies enacted during the pandemic, including guaranteeing paid sick leave and business tax credits, as well as employment-related policies.
Project description:BackgroundPathways through which air pollution may impact cognitive function are poorly understood, particularly with regard to whether and how air pollution interacts with social and emotional factors to influence cognitive health.ObjectiveTo examine the association between air pollutant exposures and cognitive outcomes among older adults participating in the National Social Life, Health, and Aging Project (NSHAP) cohort study.MethodsMeasures of cognitive function, social connectedness, and physical and mental health were obtained for each NSHAP participant starting with Wave 1 of the study in 2005. Cognitive function was assessed using the Chicago Cognitive Function Measure (CCFM) for 3377 participants. Exposures to fine particles (PM2.5) were estimated for each participant using GIS-based spatio-temporal models, and exposures to nitrogen dioxide (NO2) were obtained from the nearest EPA monitors.ResultsIn adjusted linear regression models, IQR increases in 1 to 7year PM2.5 exposures were associated with a 0.22 (95% CI: -0.44, -0.01) to a 0.25 (95% CI: -0.43, -0.06) point decrease in CCFM scores, equivalent to aging 1.6years, while exposures to NO2 were equivalent to aging 1.9years. The impacts of PM2.5 on cognition were modified by stroke, anxiety, and stress, and were mediated by depression. The impacts of NO2 were mediated by stress and effect modification by impaired activities of daily living for NO2 was found.ConclusionsExposures to long-term PM2.5 and NO2 were associated with decreased cognitive function in our cohort of older Americans, and individuals who experienced a stroke or elevated anxiety were more susceptible to the effects of PM2.5 on cognition. Additionally, mediation results suggest that PM2.5 may impact cognition through pathways related to mood disorders.
Project description:This study investigates the health impacts of a major liberalization episode in the textile and clothing (T&C) sector. This episode triggered substantial shifts in employment across a wide range of countries. It is the first study to empirically link trade liberalization to health via changes in employment and offers some of the first empirical insights on how trade liberalization interacts with social policies to influence health.Data from 32 T&C reliant countries were analysed in reference to the pre- and post-liberalization periods of 2000-2004 and 2005-2009. Fuzzy-set qualitative comparative analysis (fsQCA) was used to examine the association between countries' a) level of development b) labour market and welfare state protections c) T&C employment changes and d) changes in adult female and infant mortality rates. Process tracing was used to further investigate these associations through twelve in-depth country studies.Results from the fsQCA relate changes in employment after the phase-out to both changing adult female and infant mortality rates. Findings from the in-depth country studies suggest that the worsening of adult female mortality rates is related to workers' lack of social protection, both in the context of T&C employment growth and loss.Overall, it is found that social protection is often inaccessible to the type of workers who may be the most vulnerable to processes of liberalization and that many workers are particularly vulnerable due to the structure of social protection policies. Social policies are therefore found to both moderate pathways to health and influence the type of health-related pathways resulting from trade liberalizing policies.
Project description:Introduction Government policies on taxation and social security are important determinants of population health outcomes and health inequalities. However, there is a shortage of evidence to inform policymakers of the health consequences of such policies. The Health Equity and Its Economic Determinants project aims to assess the potential impacts of different taxation and social security policies across Europe on population health and health inequalities using a computer-based simulation that provides projections over multiple health domains. Methods and analysis In the first phase, key input parameters for the model will be estimated using estimation techniques that control for the effects of prior exposure on time-varying confounders and mediators (g-methods). The second phase will involve developing and validating the microsimulation model for the UK. Policy proposals, developed with policymakers, will be simulated in the third phase to investigate the impacts of income tax and social security changes on population health and health inequalities. In the final phase, the microsimulation model will be extended across other European countries. Ethics and dissemination This project will use deidentified secondary data for which ethical approval and consents were received by the original data collectors. No further ethical approval will be required for our main analytical datasets. Dissemination plans include academic publications, conference presentations, accessible policy briefings, mass media engagement and a project website. Both the syntax and the underlying synthetic data for the HEED microsimulation model will be made freely available through GitHub and the project website.