Predicting infectious disease outbreak risk via migratory waterfowl vectors

The spread of an emerging infectious disease is a major public health threat. Given the uncertainties associated with vector-borne diseases, in terms of vector dynamics and disease transmission, it is critical to develop statistical models that address how and when such an infectious disease could spread throughout a region such as the USA. This paper considers a spatio-temporal statistical model for how an infectious disease could be carried into the USA by migratory waterfowl vectors during their seasonal migration and, ultimately, the risk of transmission of such a disease to domestic fowl. Modeling spatio-temporal data of this type is inherently difficult given the uncertainty associated with observations, complexity of the dynamics, high dimensionality of the underlying process, and the presence of excessive zeros. In particular, the spatio-temporal dynamics of the waterfowl migration are developed by way of a two-tiered functional temporal and spatial dimension reduction procedure that captures spatial and seasonal trends, as well as regional dynamics. Furthermore, the model relates the migration to a population of poultry farms that are known to be susceptible to such diseases, and is one of the possible avenues toward transmission to domestic poultry and humans. The result is a predictive distribution of those counties containing poultry farms that are at the greatest risk of having the infectious disease infiltrate their flocks assuming that the migratory population was infected. The model naturally fits into the hierarchical Bayesian framework.     

Orientalising deafness: race and disability in imperial Britain

This article explores the conflations and connections that postcolonial and disability scholars have drawn between ‘race’, ‘colonialism’ and ‘disability’ from a historical perspective. By looking at the connections drawn between ‘race’ and ‘disability’ in the context of nineteenth-century imperial Britain, I hope to probe beyond them to examine the origins and implications of their interplay. I do so by focusing on ideas about deafness, an impairment radically reconfigured in the colonial period, and inflected with concerns about degeneration, belonging, heredity and difference. Disability, I argue, not only operated as an additional ‘category of difference’ alongside ‘race’ as a way of categorising and subjugating the various ‘others’ of Empire, but intersected with it. The ‘colonisation’ of disabled people in Britain and the ‘racial other’ by the British were not simply simultaneous processes or even analogous ones, but were part and parcel of the same cultural and discursive system. The colonising context of the nineteenth century, a period when British political, economic and cultural expansion over areas of South Asia, Australasia and Africa increased markedly, structured the way in which all forms of difference were recognised and expressed, including the difference of deafness. So too did the shifts in the raced and gendered thinking that accompanied it, as new forms of knowledge were developed to justify, explain and contest Britain's global position and new languages were developed through which to articulate otherness. Such developments reconfigured the meaning of disability. Disability was, in effect, ‘orientalised’. ‘Race’ I argue was formative in shaping what we have come to understand as ‘disability’ and vice versa; they were related fantasies of difference.     

可行能力与农民工的福利状况评价

基于辽宁省沈阳市农民工调查数据,应用森的可行能力理论和模糊数学方法对农民工的福利状况进行整体评价。结果发现,农民工福利水平的总模糊指数为0.365,处于较低水平。分指标看,健康状况方面的福利状况处于较高水平,居住环境和精神感受方面的福利状况处于中间水平,其它功能性指标的福利水平较低。在影响农民工福利的主要因素中,工作环境和防护性保障的改善对提升农民工福利影响最大。运用OLS回归模型对农民工的福利状况进行扩展分析,发现农民工群体内部存在较强的异质性,并且不同特征的农民工群体福利水平相差很大。     

Imposing and Testing for Shape Restrictions in Flexible Parametric Models

In many economic models, theory restricts the shape of functions, such as monotonicity or curvature conditions. This article reviews and presents a framework for constrained estimation and inference to test for shape conditions in parametric models. We show that “regional” shape-restricting estimators have important advantages in terms of model fit and flexibility (as opposed to standard “local” or “global” shape-restricting estimators). In our empirical illustration, this is the first article to impose and test for all shape restrictions required by economic theory simultaneously in the “Berndt and Wood” data. We find that this dataset is consistent with “duality theory,” whereas previous studies have found violations of economic theory. We discuss policy consequences for key parameters, such as whether energy and capital are complements or substitutes.     

On asymptotic distribution of prediction in functional linear regression

There has been substantial recent attention on problems involving a functional linear regression model with scalar response. Among them, there have been few works dealing with asymptotic distribution of prediction in functional linear regression models. In recent literature, the centeral limit theorem for prediction has been discussed, but the proof and conditions under which the random bias terms for a fixed predictor converge to zero have been ignored so that the impact of these terms on the convergence of the prediction has not been well understood. Clarifying the proof and conditions under which the bias terms converge to zero, we show that the asymptotic distribution of the prediction is normal. Furthermore, we have derived those results related to other terms that already obtained by others, under milder conditions. Finally, we conduct a simulation study to investigate performance of the asymptotic distribution under various parameter settings.     

Functional Partial Linear Single‐index Model

This paper deals with the problem of predicting the real‐valued response variable using explanatory variables containing both multivariate random variable and random curve. The proposed functional partial linear single‐index model treats the multivariate random variable as linear part and the random curve as functional single‐index part, respectively. To estimate the non‐parametric link function, the functional single‐index and the parameters in the linear part, a two‐stage estimation procedure is proposed. Compared with existing semi‐parametric methods, the proposed approach requires no initial estimation and iteration. Asymptotical properties are established for both the parameters in the linear part and the functional single‐index. The convergence rate for the non‐parametric link function is also given. In addition, asymptotical normality of the error variance is obtained that facilitates the construction of confidence region and hypothesis testing for the unknown parameter. Numerical experiments including simulation studies and a real‐data analysis are conducted to evaluate the empirical performance of the proposed method.     

An F-type test for detecting departure from monotonicity in a functional linear model

When studying associations between a functional covariate and scalar response using a functional linear model (FLM), scientific knowledge may indicate possible monotonicity of the unknown parameter curve. In this context, we propose an F-type test of monotonicity, based on a full versus reduced nested model structure, where the reduced model with monotonically constrained parameter curve is nested within an unconstrained FLM. For estimation under the unconstrained FLM, we consider two approaches: penalised least-squares and linear mixed model effects estimation. We use a smooth then monotonise approach to estimate the reduced model, within the null space of monotone parameter curves. A bootstrap procedure is used to simulate the null distribution of the test statistic. We present a simulation study of the power of the proposed test, and illustrate the test using data from a head and neck cancer study.     

Evaluating social investment in disability policy

Disability policy in European countries is displaying a shift towards social investment: increasing human capital and access to the labour market. The reasoning that underlies this transition is that disabled persons would benefit from mainstream employment, but are impeded in traditional policy by deficiencies in labour supply and demand. However, the shift towards more activating policies in many countries is accompanied by a decline in social protection. It is unclear whether social investment may effectively promote the employment chances of disabled persons within this context. The present research examines this question through a quantitative, cross-sectional, multilevel analysis on microdata from 22 EU countries. Our findings suggest greater activation to predict lower employment chances, while reducing passive support shows mixed effects. Conversely, measures for facilitation in daily life predict greater employment chances, as do measures for sheltered work. These findings raise questions over the value of social investment for disabled persons—and underline the need to overcome broader barriers in the labour market and in society.     

Potentials of care: The uncertain politics of social and emotional ability and difference in American childhood

This article examines middle class children's and parents' complex engagements with contemporary practices of cultivation, care and surveillance focused on children's social and emotional capacities and differences. Emblematic of a sociality and emotion-focused biopolitics of childhood, such care provokes moments of spontaneous connection and self-expression for children even as they engage dynamics of disciplining control and normalisation, an outcome that may work against and towards the objectives of care. Moreover, parental investments in social–emotional care reveal adults' conflicted implication in dynamics of child normalisation, and the potential of this form of caretaking to generate politically valuable empathic insight.