http://repub.eur.nl/res/aut/14341/ List of Publications en http://repub.eur.nl/static-eur/img/logo.png http://repub.eur.nl http://repub.eur.nl/res/pub/21875/ 2010-12-03T00:00:00Z Background: To support the development of early warning and surveillance systems of emerging zoonoses, we present a general method to prioritize pathogens using a quantitative, stochastic multi-criteria model, parameterized for the Netherlands. Methodology/Principal Findings: A risk score was based on seven criteria, reflecting assessments of the epidemiology and impact of these pathogens on society. Criteria were weighed, based on the preferences of a panel of judges with a background in infectious disease control. Conclusions/Significance: Pathogens with the highest risk for the Netherlands included pathogens in the livestock reservoir with a high actual human disease burden (e.g. Campylobacter spp., Toxoplasma gondii, Coxiella burnetii) or a low current but higher historic burden (e.g. Mycobacterium bovis), rare zoonotic pathogens in domestic animals with severe disease manifestations in humans (e.g. BSE prion, Capnocytophaga canimorsus) as well as arthropod-borne and wildlife associated pathogens which may pose a severe risk in future (e.g. Japanese encephalitis virus and West-Nile virus). These agents are key targets for development of early warning and surveillance. http://repub.eur.nl/res/pub/17059/ 2009-06-01T00:00:00Z Objective. In India, Scheduled Castes and Scheduled Tribes (ST/SC) have been excluded from Hindu society for thousands of years. Together, they comprise over 24% of India's population and still suffer worse health conditions compared to the rest of the Indian population. This paper decomposes the gap in child malnutrition between the ST/SC and the remaining Indian population, looking at both the ST/SC's disadvantageous distribution of health determinants and possible discriminatory or behavioral differences. Design and setting. A Blinder-Oaxaca decomposition was applied to decompose the gap in children's average height-for-age z scores, using data from the 1998/1999 Indian Demographic Health Survey. Results. The gap was found to be primarily caused by the ST/SC's lower wealth, education and use of health care services, but also differences in the effects of health determinants played an important role. It was found that within rural areas ST/SC are not necessarily located further from educational and health care facilities. Conclusions. The use of Oaxaca type decomposition can be very useful when studying ethnic inequalities in health as it explicitly allows for discriminatory or behavioral effects. The results did not point to discrimination against ST/SC regarding health care or education. However, in the quest to increase health care use and education among ST/SC, policy makers will have to take into account all the barriers to these services, including those related to cultural sensitivity and acceptability. http://repub.eur.nl/res/pub/37569/ 2008-04-01T00:00:00Z Epidemiological evidence points to a small set of primary causes of child mortality that are the main killers of children aged less than 5 years: pneumonia, diarrhoea, low birth weight, asphyxia and, in some parts of the world, HIV and malaria. Malnutrition is the underlying cause of one out of every two such deaths. The evidence also shows that child death and malnutrition are not equally distributed throughout the world. They cluster in sub-Saharan Africa and south Asia, and in poor communities within these regions. Disparities in health outcomes between the poor and the rich are increasingly attracting attention from researchers and policy-makers, thereby fostering a substantial growth in the literature on health equity. “Socioeconomic inequality” in malnutrition refers to the degree to which childhood malnutrition rates differ between more and less socially and economically advantaged groups. This is different from “pure inequality”, which takes into account all factors influencing childhood malnutrition. The available literature documenting socioeconomic inequality in malnutrition focuses mainly on individual countries or regions. At a more global level, Wagstaff and Watanabe provided evidence on socioeconomic inequality in malnutrition across 20 developing countries. Other relevant cross-country studies include those of Pradhan et al., who describe total inequality, and Smith et al., who describe inequalities between urban and rural populations. The latter two studies, however, provide no evidence on socioeconomic inequality within developing countries. http://repub.eur.nl/res/pub/38916/ 2007-12-01T00:00:00Z Background. Malnutrition is a major public health and development concern in the developing world and in poor communities within these regions. Understanding the nature and determinants of socioeconomic inequality in malnutrition is essential in contemplating the health of populations in developing countries and in targeting resources appropriately to raise the health of the poor and most vulnerable groups. Methods. This paper uses a concentration index to summarize inequality in children's height-for-age z-scores in Ghana across the entire socioeconomic distribution and decomposes this inequality into different contributing factors. Data is used from the Ghana 2003 Demographic and Health Survey. Results. The results show that malnutrition is related to poverty, maternal education, health care and family planning and regional characteristics. Socioeconomic inequality in malnutrition is mainly associated with poverty, health care use and regional disparities. Although average malnutrition is higher using the new growth standards recently released by the World Health Organization, socioeconomic inequality and the associated factors are robust to the change of reference population. Conclusion. Child malnutrition in Ghana is a multisectoral problem. The factors associated with average malnutrition rates are not necessarily the same as those associated with socioeconomic inequality in malnutrition. http://repub.eur.nl/res/pub/11428/ 2006-10-01T00:00:00Z Background Although measuring socioeconomic inequality in population health indicators like infant mortality is important, more interesting for policy purposes is to try to explain infant mortality inequality. The objective of this paper is to quantify for the first time the determinants' contributions of socioeconomic inequality in infant mortality in Iran. Methods A nationally representative sample of 108 875 live births from October 1990 to September 1999 was selected. The data were taken from the Iranian Demographic and Health Survey (DHS) conducted in 2000. Households' socioeconomic status was measured using principal component analysis. The concentration index of infant mortality was used as our measure of socioeconomic inequality and decomposed into its determining factors. Results The largest contributions to inequality in infant mortality were owing to household economic status (36.2%) and mother's education (20.9%). Residency in rural/urban areas (13.9%), birth interval (13.0%), and hygienic status of toilet (11.9%) also proved important contributors to the measured inequality. Conclusions The findings indicate that socioeconomic inequality in infant mortality in Iran is determined not only by health system functions but also by factors beyond the scope of health authorities and care delivery system. This implies that in addition to reducing inequalities in wealth and education, investments in water and sanitation infrastructure and programmes (especially in rural areas) are necessary to realize improvements of inequality in infant mortality across society. These findings can be instrumental for the recent 5 year Economic, Social and Cultural Development Plan of Iran, which identified the reduction of inequalities in social determinants of health.