Comparison of Risk Predicted by Multiple Norovirus Dose–Response Models and Implications for Quantitative Microbial Risk Assessment

The application of quantitative microbial risk assessments (QMRAs) to understand and mitigate risks associated with norovirus is increasingly common as there is a high frequency of outbreaks worldwide. A key component of QMRA is the dose–response analysis, which is the mathematical characterization of the association between dose and outcome. For Norovirus, multiple dose–response models are available that assume either a disaggregated or an aggregated intake dose. This work reviewed the dose–response models currently used in QMRA, and compared predicted risks from waterborne exposures (recreational and drinking) using all available dose–response models. The results found that the majority of published QMRAs of norovirus use the ₁F₁ hypergeometric dose–response model with α = 0.04, β = 0.055. This dose–response model predicted relatively high risk estimates compared to other dose–response models for doses in the range of 1–1,000 genomic equivalent copies. The difference in predicted risk among dose–response models was largest for small doses, which has implications for drinking water QMRAs where the concentration of norovirus is low. Based on the review, a set of best practices was proposed to encourage the careful consideration and reporting of important assumptions in the selection and use of dose–response models in QMRA of norovirus. Finally, in the absence of one best norovirus dose–response model, multiple models should be used to provide a range of predicted outcomes for probability of infection.     

Syringe sociology

In this article I consider the impact of social epistemologies for understanding the object of the syringe. My aim is to examine the process through which the syringe transforms from an injecting device to a tool of social and political inquiry. Paying particular attention to the uses of Foucault, Becker, Bourdieu, Freud and Latour in empirical studies of injecting heroin use, I examine the sociology of the syringe through the lens of habit and habitus, discourse and deviance, mourning and melancholia, attachment and agencement. In pursuing the theory behind the object my goal is to address a sociological object in the making. In so doing I show how the syringe has been significant for social research, social theory, and sociology. It is the difference the object makes that this article seeks to describe. In tracing the epistemology of the syringe I show how the object is important not just for knowledge of addiction but sociology itself.     

Returning to a New Mexican Labor Market? Regional Variation in the Economic Incorporation of Return Migrants from the U.S. to Mexico

Population Research and Policy Review - In recent years, a historically unprecedented number of Mexican migrants to the U.S. returned to Mexico. Compared to previous cohorts, recent return migrants...     

自由贸易对环境的影响

环境主义者应当如何看待自由贸易？很多环境主义者通过诉诸“底线竞争的论点”反对自由贸易。虽然这种观点没有多少说服力,但我们有理由担心无限制的自由贸易可能引起的环境影响。目前世贸组织（WTO）这样的机构所遵循的贸易规则也许并不合理。对于和贸易相关的环境破坏的补偿计划而言,适当的贸易壁垒以及消费者运动也许是必要且可行的。环境主义者至少应该考虑,如果不妨碍其他重要道德目标的实现,这些针对无限制自由贸易的措施是能够有效减少环境问题,并且制度上的安全保障也能防止对这些措施的滥用。     

Consumer direction in long-term care policy: overcoming barriers to promoting older adults' opportunity for self-direction

There has been a growing trend in long-term care policy to offer individuals with disabilities the option of consumer direction (CD), where responsibility of managing care and support services is transferred from agencies to care recipients, thus supporting clients' self-determination. Although CD has been accepted as an option for non-elderly individuals with disabilities, barriers persist to promoting older adults' autonomy through CD. This article reviews the incorporation of CD in long-term care policy, addresses the current barriers to providing older adults the right to self-direct, and makes recommendations for overcoming these barriers through social work practice, policy, and research.     

Health Self-management Among Older Prisoners: Current Understandings and Directions for Policy,Practice, and Research

The population of aging prisoners has increased significantly over the past several decades, resulting in concerns about the criminal justice system’s ability to address the needs of prisoners and parolees with chronic health conditions. This is troubling, given the health disparities among incarcerated populations. Health self-management has become a strategy within the community-based health care industry to improve health services and outcomes while reducing health care costs for nonincarcerated individuals with chronic conditions. However, to date little research has focused on the practice or promotion of health self-management among current and former incarcerated populations. This article highlights current understandings about chronic health self-management among older prisoners and parolees, with an emphasis on the potential benefits and current challenges in promoting their health self-management practices. Finally, specific recommendations are made for promoting health self-management for these populations through social work practice, policy advocacy, and research to achieve goals in improving health outcomes and reducing healthcare costs.     

Computing Critical Values of Exact Tests by Incorporating Monte Carlo Simulations Combined with Statistical Tables

Various exact tests for statistical inference are available for powerful and accurate decision rules provided that corresponding critical values are tabulated or evaluated via Monte Carlo methods. This article introduces a novel hybrid method for computing p‐values of exact tests by combining Monte Carlo simulations and statistical tables generated a priori. To use the data from Monte Carlo generations and tabulated critical values jointly, we employ kernel density estimation within Bayesian‐type procedures. The p‐values are linked to the posterior means of quantiles. In this framework, we present relevant information from the Monte Carlo experiments via likelihood‐type functions, whereas tabulated critical values are used to reflect prior distributions. The local maximum likelihood technique is employed to compute functional forms of prior distributions from statistical tables. Empirical likelihood functions are proposed to replace parametric likelihood functions within the structure of the posterior mean calculations to provide a Bayesian‐type procedure with a distribution‐free set of assumptions. We derive the asymptotic properties of the proposed nonparametric posterior means of quantiles process. Using the theoretical propositions, we calculate the minimum number of needed Monte Carlo resamples for desired level of accuracy on the basis of distances between actual data characteristics (e.g. sample sizes) and characteristics of data used to present corresponding critical values in a table. The proposed approach makes practical applications of exact tests simple and rapid. Implementations of the proposed technique are easily carried out via the recently developed STATA and R statistical packages.     

The passage to adulthood: challenges of late adolescence

Late adolescence and the period following, often referred to as emerging adulthood, have been noted as particularly important for setting the stage for continued development through the life span as individuals begin to make choices and engage in a variety of activities that are influential for the rest of their lives. Demographic, sociocultural, and labor market changes have made the years between ages eighteen and twenty-five more transitional than in the recent past. This chapter reviews the critical assets and needs that are essential for keeping youth on healthy, productive pathways into adulthood and examines the developmental tasks and changes of late adolescence.