Bayesian space-time modeling of malaria incidence in Sucre state, Venezuela

Malaria is a parasitic infectious tropical disease that causes high mortality rates in the tropical belt. In Venezuela, Sucre state is considered the third state with most disease prevalence. This paper presents a hierarchical regression log-Poisson space-time model within a Bayesian approach to represent the incidence of malaria in Sucre state, Venezuela, during the period 1990–2002 in 15 municipalities of the state. Several additive models for the logarithm of the relative risk of the disease for each district were considered. These models differ in their structure by including different combinations of social-economic and climatic covariates in a multiple regression term. A random effect that captures the spatial heterogeneity in the study region, and a CAR (Conditionally Autoregressive) component that recognizes the effect of nearby municipalities in the transmission of the disease each year, are also included in the model. A simpler version without including the CAR component was also fitted to the data. Model estimation and predictive inference was carried out through the implementation of a computer code in the WinBUGS software, which makes use of Markov Chain Monte Carlo (MCMC) methods. For model selection the criterion of minimum posterior predictive loss (D) was used. The Moran I statistic was calculated to test the independence of the residuals of the resulting model. Finally, we verify the model fit by using the Bayesian p-value, and in most cases the selected model captures the spatial structure of the relative risks among the neighboring municipalities each year. For years with a poor model fit, the t-Student distribution is used as an alternative model for the spatial local random effect with better fit to the tail behavior of the data probability distribution.     

Gendered expectations and gendered experiences: immigrant students' adaptation in schools

This chapter draws on longitudinal data to examine the role of gender in immigrant students' educational adaptation. Analyses show that over time girls receive higher grades and express higher future expectations than do boys. Compared with boys, immigrant girls are more likely to be protected from risk factors, such as harsh school environments, by a supported network of teachers, friends, and parents, and to benefit from the shield of ethnicity more than their male counterparts in their pursuit of education.     

Treatment decision-making among older women with breast cancer

This study examined breast cancer treatment decision-making among older adults, including professional and lay involvement. Thirty respondents were interviewed for this study; cancer survivors (70%) and newly diagnosed (30%) women with breast cancer. Respondents reported making treatment decisions in consultation with their oncologists. However, women differed on the extent to which they perceived their participation in the treatment process. Respondents' oncologists appear to be the primary factor associated with older women's breast cancer surveillance decision-making and adherence. The influence of women's support systems on their treatment decisions and surveillance activities appears to be minimal. Informal support systems, however, likely enhance women's ability to be active participants in their care. The growing need for interventions which target older women has been indicated. Interventions, however, cannot be adequately developed without first identifying the physical and psychosocial phenomena which affect decision-making.     

Does Culture Make a Better Citizen? Exploring the Relationship Between Cultural and Civic Participation in Italy

In the last decades, policy discussions have increasingly considered participation in arts and cultural activities as a vehicle to reach broader social policy goals, such as social inclusion or active citizenship. However, convincing empirical evidence on the social impacts of arts and culture is still scarce. In particular, little attention has been given to the impact that cultural participation may have on individuals’ engagement in civil society, especially in Europe. In order to address this lack of evidence, this paper explores the connection between cultural participation and civic participation in Italy using Likert-scale data collected in the ISTAT “Aspetti della Vita Quotidiana” Survey (2014). To do so, two composite indicators—the participation in cultural life indicator and the participation in civic life indicator—have been built using an approach based on partial order theory and the concept of Average Rank. The effect of cultural participation on civic engagement has been estimated using a quantile regression model which controls for potentially cofounding factors such as education, income, age and gender. Results do confirm that participation in arts and cultural activities is highly correlated with participation in civic life. It is particularly worth noticing that at higher levels of civic participation, cultural participation has a positive and strong effect on civic engagement of people having a low educational level.