Where are the elderly? Knowledge against Covid-19 - April/2020

Marcelo Neri, Director of FGV Social and founder of the Center for Social Policies at the Fundação Getulio Vargas (FGV) published recent research that strives to answser the questions Who are the elderly Brazilians? How do they live? Where do they live? (evidence by countries, Brazilian states, capital cities, municipalities and critical neighbourhoods). The goal is to underpin the design of public policies and actions aimed at reducing the most severe effects of the Covid-19 pandemic.

According to the World Health Organisation (WHO), elderly individuals are more prone to develop severe clinical conditions related to Covid-19, and to a higher lethality rate. Given the worldwide dimension of the Covid-19 crisis and its diverse social, economic and geographic impacts, understanding where the elderly people are located is of fundamental importance. The challenge is to think global in order to act local. We are all responsible for the protection of the elderly.

The research provides a wide and friendly data set with interactive maps, rankings, tables and simulators based on statistical models, covering elderly individuals in different age ranges. The evidence provided allow any person who is interested in this topic to study income and education of the elderly individuals in Brazil, their access to housing or to different types of media (TV, radio, internet, etc), among other dimensions of their lives.

The research will allow any person interested to answer questions related to the topic. It has reached prestigious international media outlets, such as The EconomistThe New York Times, The Washington Post, Bloomberg, and Associated Press. The research on the pandemics “Where are the elderly? Knowledge against Covid-19” was included in the World Economic Forum website.

For further information, watch Marcelo Neri outline his research in the video below (Portuguese, with English subtitles).

We invite you to access the research website and use the interactive data sets to answer your questions of interest.

Enjoy the reading!

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