Researchers at the International Center for Equity in Health (ICEH) are participating in the 21st World Congress of Epidemiology (21st WCE), held from 19-22 August at the Sonic City convention center in Saitama, Japan, as part of the scientific activities calendar of the International Epidemiology Association (IEA).

With the theme Global | Regional | Local Health and Epidemiology in Changing World, the 21st WCE aims to facilitate the exchange of information on the development of epidemiology in all fields and to strengthen the relationship between epidemiologists worldwide.

Cesar Victora (former president of the IEA), Aluísio Barros, Inácio Crochemore, Fernando César Wehrmeister, Fernanda Ewerling, Franciele Hellwig and Leonardo Ferreira participate in symposia, presentations of works and posters - check the list below:

Symposium: Time trends in perinatal and infant health based on four population based cohorts from Pelotas, Brazil (1982, 1993, 2004, 2015) | Moderators: Cesar Victora e Fernando Barros

Fernando Barros: Delivery care and newborn health in four cohorts

Cesar Victora: Child health and nutrition in four birth cohorts Cesar Gomes Victora

Symposium: Inequalities in the health of mothers and children in 100 countries - analyses of reproductive and health surveys | Moderators: Aluisio Barros e Cesar Victora

Cesar Victora: Equity in the health of mothers and children: challenges in the era of the Sustainable Development Goals

Aluísio Barros: How much progress has been made in reducing the gaps of essential health interventions for mothers and children in the MDG years?

Fernanda Ewerling: The challenge of developing a woman’s empowerment index based on household health surveys

Fernando Wehrmeister: Governance aspects drive inequalities in Universal Health Coverage for reproductive Maternal, Newborn and Child Health (RMNCH)

Inácio Crochemore M. da Silva: Trends in stunting inequalities in low- and middle-income countries

Poster:

Franciele Hellwig: Modern contraceptive use according to marital status in low- and middle-income countries

Leonardo Zanini Ferreira: Survey data imputation using C4.5 machine learning technique