Aula Inaugural da 4ª edição do Curso de Especialização em Saúde Pública
Schedule
05.01.2018
02:30pm to 06:00pm
Location
ISPUP
Description

A sessão iniciará às 15h00 com um conjunto de conferências proferidas por Henrique Barros, Presidente do ISPUP, Michel Hof, da Academisch Medisch Centrum Universiteit van Amsterdam e Kasia Czabanowska, Presidente da Association of Schools of Public Health in the European Region (ASPHER).

 

O encerramento das atividades contará com a presença de Fernando Araújo, Secretário de Estado Adjunto e da Saúde.

 

 

Programa:

 

14:30 - 15:00 | Boas-vindas e Abertura

 

15:00 - 15:30 | The making of a Public Health Problem

Henrique Barros, Instituto de Saúde Pública da Universidade do Porto (ISPUP)

 

15:30 - 16:15 | Record linkage with time-to-event data

Michel Hof, Academisch Medisch Centrum Universiteit van Amsterdam


16:15 - 17:00 | Leading for Health – an imperative for change in the 21st century


Kasia Czabanowska, Association of Schools of Public Health in the European Region (ASPHER)


17:00 | Encerramento

Fernando Araújo, Secretário de Estado Adjunto e da Saúde

 

Porto de Honra

Speakers
Henrique Barros
Affiliation
President of the Institute of Public Health, University of Porto, Executive Board Member of ASPHER and President of the International Epidemiological Association (2017-20).

 

Henrique Barros was born in Porto, in 1957, and graduated in Medicine in 1981. During 1988-89 was research fellow at the Internal Medicine department of Lund´s University Hospital. In 1991 became Gastroenterology specialist and defended his PhD, with research on the epidemiology of viral hepatitis. He is Full Professor of Epidemiology at the University of Porto since 1999. He launched the Master Programs in Public Health, Epidemiology and Sociology and Health as well as the doctoral program in Public Health at the University of Porto and the doctoral program in Global Public Health (program director), a joint program with University NOVA of Lisbon, financed by the Portuguese Research Foundation (FCT). He was a member of the Scientific Council for Health Sciences Foundation for Science and Technology (2004-12), National Coordinator of the HIV/AIDS Program (2005-11) and member of the Medical Sciences (MED) Scientific Committee of Science Europe (2012-15). He is currently, member of the Executive Commission of the National Ethical Committee for Clinical Investigation (CEIC), President of the Institute of Public Health, University of Porto, Executive Board Member of ASPHER and President of the International Epidemiological Association (2017-20). He has developed research in national and international projects, in areas such as clinical and perinatal epidemiology, cardiovascular, infectious and cancer diseases, which resulted in (co)authorship of more than 300 scientific publications in international journals.

 

 

ORCID: 0000-0003-4699-6571

Michel Hof
Affiliation
Academisch Medisch Centrum Universiteit van Amsterdam

Michel took the bachelor and master in Medical Informatics at University of  Amsterdam and the PhD in Biostatistics at the Department of Clinical Epidemiology, Biostatistics and Bioinformatics of the University of Amsterdam, in 2015.

His main research line is the development of statistical methods to combine data from multiple files using partially identifying variables (e.g. gender, birth-date). With a record linkage procedure, these variables can be used to determine whether observations from different files belong to the same individual (a match) or to different individuals (a non-match). Generally, the combined strength of these variables is too low leading to mistakes. Separation of record linkage and data analysis of the linked data is common practice. As a result, most analyses of data derived from record linkage are secondary; the analyst only has access to imperfectly linked data consisting of the observation pairs that were identified as matches. A problem of this approach is that external knowledge (e.g. clerical review) is needed to correct subsequent analyses of the linked data. Instead of separating the record linkage procedure and the data analysis, he showed that it is better to perform both tasks simultaneously.His approach to this problem not only leads to  more accurate estimates, it also does not require external knowledge. Currently, he proposed methods to correct for (generalized) linear regression models and time-to-event models.  

Kasia Czabanowska
Affiliation
Association of the Schools in Public Health in the European Region (ASPHER)

You may find the biography here.