Acesso interno

Saúde Pública

SYLLABUS

The syllabus is integrated to the program objectives and areas of research interest and guides teaching and research activities. The course subjects are structured around three major axes:

  • Core subjects – Mandatory or recommended subjects comprise the core curriculum and are thought to be highly relevant for all students. The recommended subjects serve as specific basis for the areas of research interest and therefore are taken according to students’ needs and interests. Research group leaders are responsible for coordinating the respective subjects and areas of research interest.

Mandatory Core Subjects

Hour load: 60 hours; Number of credits: 4
COURSE DESCRIPTION: History and concept in public health. State and social policy: the health policy. Health and disease processes and health services. Health and disease processes at the individual and population level. Social determinants of health. Health care models. History of health policy in Brazil. Current context and health scenario in Brazil.

Hour load: 75 hours; Number of credits: 5

COURSE DESCRIPTION: Basic concepts in epidemiology. Historical aspects. Epidemiology of infectious diseases. Natural history of the disease. Investigation of epidemics. Descriptive studies and mortality and morbidity measures. Quality of information in epidemiology: validity and reliability. Introduction to analytical studies: experimental studies. Observational studies: cohort studies, case-control studies (case-reference), cross-sectional studies, ecological studies. Magnitude of associations in epidemiology: relative risk, odds ratio and attributable risk. Bias in epidemiologic studies. Confusion between determinants of health. Interaction between determinants of health. Causality and inference concepts in epidemiology

Recommended Core Disciplines

Hour load: 30 hours; Number of Credits: 2

COURSE DESCRIPTION:  Presentation of goals, rules, syllabus, areas of research interest and research groups of the Public Health Graduate Program. The graduate student education process: scholarship, internship, sandwich doctorate program, participation in conferences and other relevant complementary activities. Presentation of successful experiences by alumni of the Public Health Graduate Program. Concepts and structuring of research projects.

Hour load: 45 hours; Number of credits: 3

COURSE DESCRIPTION: The productive paradigm. Transformations of labor in the globalization era. Organizational aspects of labor and health. Dimensions of labor precariousness and intensity in worker morbidity studies. Worker health indicators in Brazil.

Hour load: 45 hours; Number of credits: 3

COURSE DESCRIPTION: The scientific paradigm. Hypothesis formulation, definition of objects (or problems) and goals. Research design selection. Qualitative and quantitative approaches. Basic structure of public health research projects. Ethical aspects. Steps in project development.

Hour load: 60 hours; Number of credits: 4

COURSE DESCRIPTION: Basic concepts in Statistics. Planning of health related studies. Descriptive data analysis. Probability and applications. Probabilistic models and applications. Statistical inference. Significance tests for intergroup comparisons. Confidence intervals to compare two groups. Understanding widely used statistical techniques in the health related research.

Complementary Disciplines – Instrumental content

Hour load: 45 hours; Number of credits: 3; Mudar para: 30 hours; Number of credits: 2

COURSE DESCRIPTION: Universally accepted standards for publication of articles in journals indexed in national and international bases. Requirements for submitting articles to biomedical journals. Differences between articles based on quantitative and qualitative methods. Models of excellence in scientific writing.

Hour load: 30 hours; Number of credits: 2

COURSE DESCRIPTION: To train healthcare professionals to apply epidemiological instruments for analysis of validity, usefulness and relevance of published literature, as well as in the application of analysis results in clinical practice.

 

Hour load: 30 hours; Number of credits: 2

COURSE DESCRIPTION: Structure of a scientific article. Scientific language. Journal selection: editorial policy and specific guidelines. Target audiences. Steps in article preparation: research question/objective and roadmap. Abstract: relevance and content. Introduction: objectives, structure and references. Methods: type of study, population, instruments and procedures, statistical treatment and data analysis. Results: tables, figures and charts; language, order of result presentation. Discussion: ordering of the content, citations of existing literature, limits and practical implications of results. Article title: structure and size. Authorship criteria. Peer review: what it is and how it works.

Authorship criteria. Peer review: what it is and how it works.

Complementary Subjects – Advanced Content

Class time: 60 hours; Number of Credits: 4

 

COURSE DESCRIPTION: changeable

Hour load: 75 hours; Number of credits: 5

COURSE DESCRIPTION: Measures of occurrence, association and impact. The prevention paradox. ​ Data quality assurance and control in epidemiological studies. Causal inference in epidemiology. Bias and validity in epidemiological studies. Confounding and mediation in epidemiological studies. Interaction in epidemiological studies. Design and analysis of cross-sectional studies. Design and analysis of case-control studies. Design and analysis of cohort studies. Design and analysis of experimental studies.

Hour load: 75 hours; Number of credits: 5
COURSE DESCRIPTION: The role of statistics in health and the R-software. The Student’s t test and ANOVA. The linear regression model. Contingency tables and the Mantel-Haenszel test. The logistic regression model. Survival analysis: Kaplan-Meier. Survival analysis: the parametric and Cox models. The Poisson model.

Hour load: 30 hours; Number of credits: 2

COURSE DESCRIPTION: Basic structure of occupational surveys. Studies based on secondary data. Studies based on primary data. Construction of variables in surveys investigating worker health conditions. Data collection and instrument validation.

 

3. Integrative subjects – Open education subjects offering additional theoretical and methodological content. These subjects have contributed to increasing the spectrum of subjects with innovative instrumental content on offer, with participation of Postdoctoral Residents and foreign professors.