Talking about AIDS

This paper explores the significance of social relationships to two important stages in the process of sexual behavioral change in response to increased HIV/AIDS risk in rural Africa: the perceived risk of becoming HIV-infected through unprotected sexual intercourse and the preferred methods of protection either through sexual fidelity, or through condom use. The empirical analyses are based on cross-sectional data from the 'Kenyan Diffusion and Ideational Change Project' (KDICP) which provides information about AIDS-related, ego-centered communication networks of Kenyan men and women. The results show that perceived risks, as well as preferred methods of protection against HIV-infection, depend in general on the prevailing perceptions and favored protective methods within personal communication networks. However, different influential network properties can be found. The risk-perceptions of women are shaped by strong relationships and cohesive network structures. Male's risk perception depends more on the number of risk-perceivers in their communication networks. Heterogeneous relationships of various kinds are influential on women's and men's probability of favoring sexual faithfulness as a method of protection against HIV-infection.AIDS/HIV, communication networks, Kenya, prevention, risk behaviors

Consumer Purchasing Behavior in Response to Media Coverage of Avian Influenza

Understanding consumer response to food safety information is important for quantifying consumer response to food safety events, predicting market impacts, and developing appropriate risk communication strategies. In this study, we present a methodology for analysis of consumer response to media coverage of avian influenza and an application using Italian data.Avian influenza, food safety, Italy, meat demand, media index, Food Consumption/Nutrition/Food Safety, Research Methods/ Statistical Methods, Q11, Q18,

An efficient Monte Carlo approach for optimizing decentralized estimation networks constrained by undirected topologies

We consider a decentralized estimation network subject to communication constraints such that nearby platforms can communicate with each other through low capacity links rendering an undirected graph. After transmitting symbols based on its measurement, each node outputs an estimate for the random variable it is associated with as a function of both the measurement and incoming messages from neighbors. We are concerned with the underlying design problem and handle it through a Bayesian risk that penalizes the cost of communications as well as estimation errors, and constraining the feasible set of communication and estimation rules local to each node by the undirected communication graph. We adopt an iterative solution previously proposed for decentralized detection networks which can be carried out in a message passing fashion under certain conditions. For the estimation case, the integral operators involved do not yield closed form solutions in general so we utilize Monte Carlo methods. We achieve an iterative algorithm which yields an approximation to an optimal decentralized estimation strategy in a person by person sense subject to such constraints. In an example, we present a quantification of the trade-off between the estimation accuracy and cost of communications using the proposed algorithm

Working with Children with Learning Disabilities and/or who Communicate Non-verbally: Research experiences and their implications for social work education, increased participation and social inclusion

Social exclusion, although much debated in the UK, frequently focuses on children as a key 'at risk' group. However, some groups, such as disabled children, receive less consideration. Similarly, despite both UK and international policy and guidance encouraging the involvement of disabled children and their right to participate in decision-making arenas, they are frequently denied this right. UK based evidence suggests that disabled children's participation lags behind that of their non-disabled peers, often due to social work practitioners' lack of skills, expertise and knowledge on how to facilitate participation. The exclusion of disabled children from decision-making in social care processes echoes their exclusion from participation in society. This paper seeks to begin to address this situation, and to provide some examples of tools that social work educators can introduce into pre- and post-qualifying training programmes, as well as in-service training. The paper draws on the experiences of researchers using non-traditional qualitative research methods, especially non-verbal methods, and describes two research projects, focusing on the methods employed to communicate with and involve disabled children, the barriers encountered and lessons learnt. Some of the ways in which these methods of communication can inform social work education are explored alongside wider issues of how and if increased communication can facilitate greater social inclusion

Monte Carlo optimization approach for decentralized estimation networks under communication constraints

We consider designing decentralized estimation schemes over bandwidth limited communication links with a particular interest in the tradeoff between the estimation accuracy and the cost of communications due to, e.g., energy consumption. We take two classes of in–network processing strategies into account which yield graph representations through modeling the sensor platforms as the vertices and the communication links by edges as well as a tractable Bayesian risk that comprises the cost of transmissions and penalty for the estimation errors. This approach captures a broad range of possibilities for “online” processing of observations as well as the constraints imposed and enables a rigorous design setting in the form of a constrained optimization problem. Similar schemes as well as the structures exhibited by the solutions to the design problem has been studied previously in the context of decentralized detection. Under reasonable assumptions, the optimization can be carried out in a message passing fashion. We adopt this framework for estimation, however, the corresponding optimization schemes involve integral operators that cannot be evaluated exactly in general. We develop an approximation framework using Monte Carlo methods and obtain particle representations and approximate computational schemes for both classes of in–network processing strategies and their optimization. The proposed Monte Carlo optimization procedures operate in a scalable and efficient fashion and, owing to the non-parametric nature, can produce results for any distributions provided that samples can be produced from the marginals. In addition, this approach exhibits graceful degradation of the estimation accuracy asymptotically as the communication becomes more costly, through a parameterized Bayesian risk

Relation of Federal Taxation to the Financing of Small Business

Aims. To explore general practitioners’ (GPs’) descriptions of their thoughts and action when prescribing cardiovascular preventive drugs. Methods. Qualitative content analysis of transcribed group interviews with 14 participants from two primary health care centres in the southeast of Sweden. Results. GPs’ prescribing of cardiovascular preventive drugs, from their own descriptions, involved “the patient as calculated” and “the inclination to prescribe,” which were negotiated in the interaction with “the patient in front of me.” In situations with high cardiovascular risk, the GPs reported a tendency to adopt a directive consultation style. In situations with low cardiovascular risk and great uncertainty about the net benefit of preventive drugs, the GPs described a preference for an informed patient choice. Conclusions. Our findings suggest that GPs mainly involve patients at low and uncertain risk of cardiovascular disease in treatment decisions, whereas patient involvement tends to decrease when GPs judge the cardiovascular risk as high. Our findings may serve as a memento for clinicians, and we suggest them to be considered in training in communication skills

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Agribusiness, Agricultural and Food Policy, Agricultural Finance, Community/Rural/Urban Development, Consumer/Household Economics, Crop Production/Industries, Demand and Price Analysis, Environmental Economics and Policy, Farm Management, Financial Economics, Food Consumption/Nutrition/Food Safety, Food Security and Poverty, Health Economics and Policy, Industrial Organization, Institutional and Behavioral Economics, International Development, International Relations/Trade, Labor and Human Capital, Land Economics/Use, Livestock Production/Industries, Marketing, Political Economy, Production Economics, Productivity Analysis, Public Economics, Research and Development/Tech Change/Emerging Technologies, Research Methods/ Statistical Methods, Resource /Energy Economics and Policy, Risk and Uncertainty, Teaching/Communication/Extension/Profession,