A Dominance-Based Rough Set Approach for an Enhanced Assessment of Seasonal Influenza Risk

Accounting for about 290,000–650,000 deaths across the globe, seasonal influenza is estimated by the World Health Organization to be a major cause of mortality. Hence, there is a need for a reliable and robust epidemiological surveillance decision-making system to understand and combat this epidemic disease. In a previous study, the authors proposed a decision support system to fight against seasonal influenza. This system is composed of three subsystems: (i) modeling and simulation, (ii) data warehousing, and (iii) analysis. The analysis subsystem relies on spatial online analytical processing (S-OLAP) technology. Although the S-OLAP technology is useful in analyzing multidimensional spatial data sets, it cannot take into account the inherent multicriteria nature of seasonal influenza risk assessment by itself. Therefore, the objective of this article is to extend the existing decision support system by adding advanced multicriteria analysis capabilities for enhanced seasonal influenza risk assessment and monitoring. Bearing in mind the characteristics of the decision problem considered in this article, a well-known multicriteria classification method, the dominance-based rough set approach (DRSA), was selected to boost the existing decision support system. Combining the S-OLAP technology and the multicriteria classification method DRSA in the same decision support system will largely improve and extend the scope of analysis capabilities. The extended decision support system has been validated by its application to assess seasonal influenza risk in the northwest region of Algeria.     

Ethnic differences in intergenerational solidarity in the Netherlands

Using data from the 2002–2003 Netherlands Kinship Panel Study and the Social Position and Provisions Ethnic Minorities Survey (N = 2833) we describe patterns of intergenerational solidarity among five different ethnic groups in the Netherlands. We compare patterns of normative, associational and functional solidarity between various immigrant groups and the native Dutch, and question how and to what extent behavior is determined by filial norms, socio-demographic position or ethnic background. Results show that immigrant adult children show higher levels of normative (filial obligations) and associational (contact) solidarity. Functional solidarity (providing support) shows a more complex pattern. Immigrants are no more likely to provide counsel or advice than the Dutch but immigrant women are more likely to provide practical support than Dutch women.