Institute of Economics, Geography and Demography (CSIC)
In relation to its surroundings in Europe, Spain is a good example of a late and rapid demographic transition. Within this IRP, the ESR will look at health inequalities in two periods of this demographic transition and in two different areas: Madrid during the early 20th century and Andalusia during the early 21st century. Health inequality due to different educational attainment or occupation has been a topic at the core of the demographic and epidemiological debate during the past decades, but not much is known of these divergences for the South of Europe using longitudinal registers. This ISR will try to measure health inequality by analyzing the combined effect on health of different sociodemographic, economic and environmental variables in two very different periods of time: the era of rapid transformation of urban areas in Europe, and a period of rapid change and crisis within one of the most underdeveloped regions in Europe.
To be able to carry on this IRP, the ESR will be able to make use of an anonymized sample of the newly developed longitudinal population register of Andalusia to reconstruct the complete demographic trajectories of its population since 2001 and also the Historical Population Register data for the City of Madrid for the early 20th century.
The scientific goal of this project is the combined analysis of inequalities in health with different population registers and data. From the analysis of health inequalities in Andalusia to similar data for the city of Madrid. Along with the research plan and use of individual based data sets, the following outputs are envisaged: Concepts and techniques for individual record linkage to construct individual life course trajectories from multi-source databases; Implementation of longitudinal data analysis including harmonization and transformation of historical and contemporary individual based data sets. By interacting with other researchers on the Network the ESR will learn complementary GIS and demographic methodological techniques.
The expected results are:
10.1 Data model for a combined analysis of inequalities in health with different population registers and data.
10.2 Report on Health inequalities in Andalusia, by different sociodemographic, economic and environmental variables.
10.3 Report on health inequalities in Madrid.
Mathias Voigt is an Early Stage Researcher under the roof of the Horizon 2020 project LONGPOP as well as a Ph.D. student in the field of demography at the Autonomous University of Barcelona. After studying sociology and English studies at the University of Rostock and the University of Georgia, Mathias was drawn by his professor’s passion for statistical solutions for problems on a population level and he decided to pursue a M.Sc. degree in demography at the University of Rostock. He successfully graduated in 2015 and complemented his education in the field of population studies with the European Doctoral School of Demography. Passionate about understanding the effects of social inequality and equipped with a statistical toolbox, his enormous interest in the LONGPOP sub-project related to inequalities in health was natural. Mathias joined the LONGPOP project and the team of the Institute of Economy, Geography and Demography in the Spanish National Research Council Center for Humanities and Social Science in October 2016. Under the supervision of Diego Ramiro, he is not only eagerly working on the analysis of health inequalities in Spain, he has also successfully attended several advanced training workshops, received the opportunity to present his work on the International Population Conference 2017 and started to learn Spanish. Grateful for the opportunities he is provided with, Mathias’ work is directed to aspects of social fairness and disadvantaged subpopulations in Spain.
Link to his ResearchGate profile here.