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March 21, 2017

Measuring Socioeconomic Inequalities With Absolute Incomes

To compare the predictive power of synthetic absolute income measures with that of asset-based wealth quintiles in low- and middle-income countries (LMICs) using child stunting as an outcome. We pooled data from 239 nationally representative household surveys from LMICs and computed absolute incomes in US dollars based on households’ asset rank as well as data on national consumption and inequality levels. We used multivariable regression models to compare the predictive power of the cr

March 20, 2017

International Center for Equity in Health receives the visit of the Stanford Team

The gathering that happens this week (March, 20 - 24, 2016) has these goals: - Working together to add additional health indicators to the existing data set; we will define indicators of common interest that are not in the dataset and work together to harmonize these and add them to the data set. - Working together on analysis of the DHS/MICS/RHS dataset. - Discuss the process of developing the empowerment index, to inform a potential gender norm index.   The Stanford Team:&n

February 24, 2017

Study analyzes relationship between socioeconomic indicators and maternal and child health

The asset index is the best socioeconomic indicator to identify children at risk of presenting stunting in families in low and middle-income countries. This is what the research developed in a Master's thesis of the Post-Graduation in Epidemiology of the Federal University of Pelotas, authored by Luís Paulo Vidaletti, under the guidance of Professor Aluísio Jardim Dornellas de Barros indicates. The study analyzed the ability of two wealth indices to distinguish the socioe

February 11, 2017

Gender Equity

Check the post by Fernanda Ewerling (ICEH) and Lotus McDougal (UCSD) at the Center on Gender Equity and Health blog  

January 18, 2017

The Countdown to 2030 Equity Technical Working Group Meeting

The Countdown to 2030 Equity Technical Working Group (ETWG) is assembled since yesterday (January 17th), at the International Center for Equity in Health (ICEH), Federal University of Pelotas (UFPel). The meeting objectives are: - To familiarize ETWG members with the Countdown to 2030 initiative and with the data analyses set up at the International Center for Equity in Health (Pelotas) - To advise on the expansion of equity analyses formerly carried out for the Countdown to 2015 (MDG agen

January 18, 2017

Research assesses impact of economic inequality on child malnutrition

A study by the Federal University of Pelotas (UFPel) compared the trends of socioeconomic inequality in the occurrence of child malnutrition in Latin American and Caribbean countries, according to the income differences of the population classified in five and ten economic groups. The research is the result of a dissertation work developed in the Post Graduate Program in Epidemiology of UFPel by nutritionist María de Pilar Flores Quispe, under the guidance of professor Fernando Cés

January 16, 2017

Study shows that discrimination leads to excess mortality of girls in low and middle income countries

Girls under five receive less health care than boys of the same age and are dying more than expected in low- and middle-income countries due to gender discrimination, according to a study conducted by the International Center for Equity in Health at the Federal University Of Pelotas (UFPel). The conclusion is part of the master's thesis developed in the Post Graduate Program in Epidemiology of UFPel, authored by nutritionist Janaína Calu, under the guidance of Professor Cesar Victo

December 06, 2016

The composite coverage index is easy to calculate and could be useful for monitoring progress and inequalities in universal health coverage

A series of equiplots in which the two summary indices and coverage levels of the eight additional Countdown indicators are presented by wealth quintiles of the populations for the nine selected countries. In the equiplots, the poorest and richest quintiles are shown connected by a horizontal line. When one of the circles is outside this line (e.g. co-coverage with 6+ interventions in Congo, or oral rehydration therapy in Haiti), this indicates that the inequality pattern is not stepwise an