Methods matter: computational modelling in public health policy and planning

This work is aimed at understanding and unifying information on epidemiological modelling methods and how those methods relate to public policy addressing human health, specifically in the context of infectious disease prevention, pandemic planning, and health behaviour change. This thesis employs multiple qualitative and quantitative methods, and presents as a manuscript of several individual, data-driven projects that are combined in a narrative arc. The first chapter introduces the scope and complexity of this interdisciplinary undertaking, describing several topical intersections of importance. The second chapter begins the presentation of original data, and describes in detail two exercises in computational epidemiological modelling pertinent to pandemic influenza planning and policy, and progresses in the next chapter to present additional original data on how the confidence of the public in modelling methodology may have an effect on their planned health behaviour change as recommended in public health policy. The thesis narrative continues in the final data-driven chapter to describe how health policymakers use modelling methods and scientific evidence to inform and construct health policies for the prevention of infectious diseases, and concludes with a narrative chapter that evaluates the breadth of this data and recommends strategies for the optimal use of modelling methodologies when informing public health policy in applied public health scenarios.

Map of the town of Morrisania /

Survey map showing block dimensions, street dimensions, street grades, and angle of street intersections. Does not show cadastral data.

Un modelo de predicción de tráfico en la ciudad de Ambato

Este artículo contiene el estudio inicial de un modelo de predicción de tráfico, que intenta mostrar cómo puede complementarse la toma de decisiones que afecten a la ciudad a través de una buena planificación vial. Esto permitirá dar alternativas posibles de solución mediante la predicción de flujos de tráfico y determinando las intersecciones de mayor influencia dentro de la red vial, lo que por consecuencia reduciría costes en tiempo, combustible, contaminación, etc., obteniendo así una herramienta de ayuda en la toma de decisiones respecto del tráfico. Específicamente, se utiliza modelos dinámicos lineales para predecir el tráfico en distintos puntos de una ciudad y, en consecuencia, pronosticar su eventual saturación. Se puede así predecir puntos de la ciudad en la que es necesario actuar para aliviar los problemas de tráfico antes de que éstos lleguen a manifestarse.

Transportation map of New Jersey.

Scale ca. 1:538,560; 1 in. represents approx. 8.5 miles.

Transportation map of New Jersey.

Scale ca. 1:538,560; 1 in. represents approx. 8.5 miles.

Development of Planning And Evaluation Models For Superstreets

Despite the extensive implementation of Superstreets on congested arterials, reliable methodologies for such designs remain unavailable. The purpose of this research is to fill the information gap by offering reliable tools to assist traffic professionals in the design of Superstreets with and without signal control. The entire tool developed in this thesis consists of three models. The first model is used to determine the minimum U-turn offset length for an Un-signalized Superstreet, given the arterial headway distribution of the traffic flows and the distribution of critical gaps among drivers. The second model is designed to estimate the queue size and its variation on each critical link in a signalized Superstreet, based on the given signal plan and the range of observed volumes. Recognizing that the operational performance of a Superstreet cannot be achieved without an effective signal plan, the third model is developed to produce a signal optimization method that can generate progression offsets for heavy arterial flows moving into and out of such an intersection design.

Quantifying the Resilience of an Urban Traffic-Electric Power Coupled System

Transportation system resilience has been the subject of several recent studies. To assess the resilience of a transportation network, however, it is essential to model its interactions with and reliance on other lifelines. In this work, a bi-level, mixed-integer, stochastic program is presented for quantifying the resilience of a coupled traffic-power network under a host of potential natural or anthropogenic hazard-impact scenarios. A two-layer network representation is employed that includes details of both systems. Interdependencies between the urban traffic and electric power distribution systems are captured through linking variables and logical constraints. The modeling approach was applied on a case study developed on a portion of the signalized traffic-power distribution system in southern Minneapolis. The results of the case study show the importance of explicitly considering interdependencies between critical infrastructures in transportation resilience estimation. The results also provide insights on lifeline performance from an alternative power perspective.

A flexibilidade no interior doméstico

Dissertação para obtenção do grau de Mestre em Arquitetura, apresentada na Universidade de Lisboa - Faculdade de Arquitetura.

Development of Safety Performance Functions for SafetyAnalyst Applications in Florida

In 2010, the American Association of State Highway and Transportation Officials (AASHTO) released a safety analysis software system known as SafetyAnalyst. SafetyAnalyst implements the empirical Bayes (EB) method, which requires the use of Safety Performance Functions (SPFs). The system is equipped with a set of national default SPFs, and the software calibrates the default SPFs to represent the agency’s safety performance. However, it is recommended that agencies generate agency-specific SPFs whenever possible. Many investigators support the view that the agency-specific SPFs represent the agency data better than the national default SPFs calibrated to agency data. Furthermore, it is believed that the crash trends in Florida are different from the states whose data were used to develop the national default SPFs. In this dissertation, Florida-specific SPFs were developed using the 2008 Roadway Characteristics Inventory (RCI) data and crash and traffic data from 2007-2010 for both total and fatal and injury (FI) crashes. The data were randomly divided into two sets, one for calibration (70% of the data) and another for validation (30% of the data). The negative binomial (NB) model was used to develop the Florida-specific SPFs for each of the subtypes of roadway segments, intersections and ramps, using the calibration data. Statistical goodness-of-fit tests were performed on the calibrated models, which were then validated using the validation data set. The results were compared in order to assess the transferability of the Florida-specific SPF models. The default SafetyAnalyst SPFs were calibrated to Florida data by adjusting the national default SPFs with local calibration factors. The performance of the Florida-specific SPFs and SafetyAnalyst default SPFs calibrated to Florida data were then compared using a number of methods, including visual plots and statistical goodness-of-fit tests. The plots of SPFs against the observed crash data were used to compare the prediction performance of the two models. Three goodness-of-fit tests, represented by the mean absolute deviance (MAD), the mean square prediction error (MSPE), and Freeman-Tukey R2 (R2FT), were also used for comparison in order to identify the better-fitting model. The results showed that Florida-specific SPFs yielded better prediction performance than the national default SPFs calibrated to Florida data. The performance of Florida-specific SPFs was further compared with that of the full SPFs, which include both traffic and geometric variables, in two major applications of SPFs, i.e., crash prediction and identification of high crash locations. The results showed that both SPF models yielded very similar performance in both applications. These empirical results support the use of the flow-only SPF models adopted in SafetyAnalyst, which require much less effort to develop compared to full SPFs.

Spiritual Violence: Queer People and the Sacrament of Communion

This thesis addresses spiritual violence done to queer people in the sacrament of Communion, or Eucharist, in both Protestant and Roman Catholic churches in the U.S. Rooted in the sexual dimorphic interpretation of Genesis, theologians engendered Christianity with sexism and patriarchy, both of which have since developed into intricate intersections of oppressions. Religious abuse is founded on the tradition of exclusionary practices and is validated through narrow interpretations of Scripture that work to reassert the authority of the experiences of the dominant culture. The resultant culture of oppression manifests itself in ritualized spiritual violence. Queer people are deemed “unworthy” to take ‘the body and blood of the Christ’ and, in fact, are excluded altogether. This “unworthiness” is expressed as spiritual violence against queer people who are shunned and humiliated, internalize hateful messages, and are denied spiritual guidance or life-affirming messages. By “queering” Scripture, or reading the Bible anew through a framework of justice, queer people have begun to sacramentalize their experiences and reclaim their place at the table.

Three Spheres of Classification Research: Emergence, Encyclopedism, and Ecology

Three paths of interdisciplinary work shape the future of classification research.emergence, encyclopedism, and ecology. Each of these, in method, approach, and in substantive inquiry outline both the boundaries and the intersections of the many fields that contribute to our overall understanding of classification research. This paper outlines some high level claims of this work, ties it to current research and offers some theoretical applications of these paths.

Gender, class and the household economy in Scotland in the ‘Age of affluence’

From early 1950s to the early 1970s Britain is said to have experienced an ‘age of affluence’. Whilst material conditions for many households improved in these decades, this detailed examination of budget management processes shows that for many working-class households, these gains were the product of hard work and careful money management. Using oral history methodology, this thesis explores lived experiences of the household economy to illuminate these qualifications to ‘affluence’. In so doing, this thesis advances analysis which considers the relationship between the macro-level economic conditions of affluence and the everyday economic realities of households in the post-war period. The thesis examines the operation of the household economy and shows how working-class households utilised domestic labour, budgeting, paid work, credit and thrift to make ends meet, as well as to achieve ‘affluence’. Further, by exploring these areas of the household economy, this thesis shows that gendered ideology continued to preserve power and material inequalities between men and women. Although considerable change did occur, particularly involvement in the paid labour market, domestic responsibilities continued to be an important focus of women’s identities and the effective performance of these duties by women remained central to the success of the household. This thesis represents a fresh focus on how the exploration of everyday life, including the salience of ideological continuities in shaping experience, can qualify and refine our understanding of twentieth century economic and social change, and contributes to socio-historical understandings of ‘affluence’ and its intersections with the household, gender, and class.

Ficciones palpables: una aproximación a la configuración de la reputación y su relación con la memoria en la novela Las reputaciones de Juan Gabriel Vásquez

Esta investigación tiene como objetivo analizar los espacios comunes entre los conceptos de memoria y reputación en la novela Las Reputaciones de Juan Gabriel Vásquez. En esta medida, se planteará que la formación del recuerdo individual y colectivo está mediada por prácticas políticas que pretenden una determinada reputación y que no solo influyen sobre la manera misma en que se hace memoria sino que además son determinantes en la imagen de unas figuras como los personajes Javier Mallarino, Samanta Leal y Adolfo Cuellar. Para llevar a cabo este planteamiento se tendrán en cuenta los conceptos de política desde Jaques Rancière, y memoria de Paul Ricoeur y Pilar Riaño, que serán analizados desde el enfoque filosófico de la ciencia política.

Grandes historias a pasos cortos

Documental de carácter intimista protagonizado por Paola Nieto, Álvaro Novoa y Mauricio Ardila, tres personas que a raíz de su enanismo siempre han visto el mundo desde una perspectiva única. En su día a día, enfrentan complejos estereotipos sociales y estigmas por su baja estatura, pero a través de su profesión, su vida social y acompañados de sus seres queridos, han superado esos retos para vivir a plenitud en un mundo de gigantes.

Applying fuzzy logic to comparative distribution modelling: a case study with two sympatric amphibians.

We modelled the distributions of two toads (Bufo bufo and Epidalea calamita) in the Iberian Peninsula using the favourability function, which makes predictions directly comparable for different species and allows fuzzy logic operations to relate different models. The fuzzy intersection between individual models, representing favourability for the presence of both species simultaneously, was compared with another favourability model built on the presences shared by both species. The fuzzy union between individual models, representing favourability for the presence of any of the two species, was compared with another favourabilitymodel based on the presences of either or both of them. The fuzzy intersections between favourability for each species and the complementary of favourability for the other (corresponding to the logical operation “A and not B”) were compared with models of exclusive presence of one species versus the exclusive presence of the other. The results of modelling combined species data were highly similar to those of fuzzy logic operations between individual models, proving fuzzy logic and the favourability function valuable for comparative distribution modelling. We highlight several advantages of fuzzy logic over other forms of combining distribution models, including the possibility to combine multiple species models for management and conservation planning.