In this paper, we investigate whether income inequality negatively affects voter turnout. Despite some progress, the answer to this question is still debated due to methodological disagreements and differences in the selection of countries and time periods. We contribute to this debate by triangulating data and methods. More specifically, we use three kinds of data to resolve the question: first, we use cross-sectional aggregate data of 21 OECD countries in the time period from 1980 to 2014 to study the relationship between inequality and electoral participation. Second, we zoom in on the German case and examine local data from 402 administrative districts between 1998 and 2017. Focusing on within-country variation eliminates differences that are linked to features of the political system. Finally, we combine survey data with macro-data to investigate the impact of inequality on individual voting. This final step also allows us to test whether the effect of income inequality on voter turnout differs across income groups. Taken together, we offer the most comprehensive analysis of the impact of social inequality on political inequality to date. We corroborate accounts that argue that economic inequality exacerbates participatory inequality.

Objectives: The technology and resource-rich solutions of the developed world may not be completely applicable to or replicable in disasters occurring in the developing world. With the current looming hazards of pandemics, climate change, global terrorism and conflicts around the world, policy makers and governments will need high-quality scientific data to make informed decisions for preparedness and mitigation. The evidence on disasters in peer-reviewed journals about the developing world was examined for quality and quantity in this systematic review.

Methods: PubMed was searched using the Medical Subject Heading (MeSH) terms disasters, disaster medicine, rescue work, relief work, and conflict and then refined using the MeSH term developing country. The final list of selected manuscripts were analyzed by type of article, level of evidence, theme of the manuscript and topic, author affiliation, and region of the study.

Results: After searching and refining, <1% of the citations in PubMed addressed disasters in developing countries. The majority was original research articles or reviews, and most of the original research articles were level IV or V evidence. Less than 25% of the authors were from the developing world. The predominant themes were missions, health care provision, and humanitarian aid during the acute phase of disasters in the developing world.

Conclusions: Considering that 85% of disasters and 95% of disaster-related deaths occur in the developing world, the overwhelming number of casualties has contributed insignificantly to the world's peer-reviewed literature. Less than 1% of all disaster-related publications are about disasters in the developing world. This may be a publication bias, or it may be a genuine lack of submissions dealing with these disasters. Authors in this part of the world need to contribute to future disaster research through better-quality systematic research and better funding priorities. Aid for sustaining long-term disaster research may be a more useful investment in mitigating future disasters than short-term humanitarian aid missions to the developing world.

(Disaster Med Public Health Preparedness. 2011;5:112–116)

A comparative analysis of injury mortality in 24 developed countries during the period 1985–1989 shows the importance of this cause of death among the elderly. One out of four men and one out of two women who dies from injury is aged 65 and over. There is an over-representation of the elderly among injury-related deaths and the risk of death is still increasing after age 65. Some differences can be noted for the elderly as compared to other age groups: a lower male excess mortality ratio and a much larger proportion of violent deaths related to accidental falls. Among developed countries, a wide scope of variations exists in age groups and cause-specific patterns. Hierarchical clustering is used to obtain different aggregations of countries, based on the level, the structure and the causes of violent mortality. Although the classification of countries varies according to a chosen criteria, we often find aggregations of countries belonging to the geographical area.