General information

Subject type: Basic

Coordinator: Carolina Chabrera Sanz

Trimester: First term

Credits: 6

Teaching staff: 

Matthew Serra Prat
Elizabeth Palomera Fanegas 

Teaching languages

  • Catalan
  • Spanish

There may be some scientific reading in English.


Basic skills
  • CB5_That students have developed those learning skills necessary to undertake further studies with a high degree of autonomy.

  • CB2_That students know how to apply their knowledge to their job or vocation in a professional way and have the skills that need to be demonstrated through the elaboration and defense of arguments and the resolution of problems within their area of ​​study

  • CB3_That students have the ability to gather or interpret relevant data (usually within their area of ​​study), to make judgments that include reflection on relevant social, scientific or ethical issues

General competencies
  • CG6_Basing nursing interventions on scientific evidence and available media

  • CG14_Establish evaluation mechanisms, considering the scientific-technical and quality aspects

Transversal competences
  • CT 1 Develop the ability to assess inequalities based on sex and gender, to design solutions


The subject of Demography, Epidemiology and Biostatistics is included in the basic training of the Degree in Nursing. It is taught in the first semester of the second year. This course will allow students to acquire the fundamental concepts and methods of Demography and Epidemiology, as well as know their usefulness and application in the field of health. The student will become familiar with the main designs of epidemiological studies that will allow the professional a critical reading of the scientific evidence and be able to design and carry out quality scientific research. Finally, they will learn the principles of statistics, at a basic level, which will allow them to read and interpret articles critically, as well as prepare scientific papers and conduct research in accordance with international standards. In this way, the subject will be structured in three thematic blocks: Demography, Epidemiology and Biostatistics.


  1. STATIC DEMOGRAPHY: Presentation of the course: programme, work methodology and assessment. Concept of demography, static and dynamic demography, human populations, sources of information (the register and the census), websites of interest (INE and IDESCAT) and presentation, analysis and interpretation of data (the age pyramids). Teacher: Mateu Serra.
  2. DYNAMIC DEMOGRAPHY: Birth rate and fertility, overall mortality, age-specific and cause-specific mortality, avoidable mortality, potential years of life lost, life expectancy. Teacher: Mateu Serra.
  3. TAX STANDARDIZATION: standardization of fees by the direct method and by the indirect method. Exercises 1. Teacher: Elisabet Palomera.
  4. MIGRATION: Population growth, population aging, migratory movements and population policies (fertility, aging and migration). Teacher: Mateu Serra.
  5. FREQUENCY MEASUREMENTS: Prevalence, cumulative incidence, incidence density. Exercises for its estimation. TYPES OF VARIABLES: qualitative and quantitative variables, measurement, reliability, accuracy and validity. Exercises 2. Teacher: Mateu Serra.
  6. ASSOCIATION MEASURES and IMPACT MEASURES: relative risk (RR), odds ratio (OR), attributable risk (RA), etiological fraction. Exercises for your estimation. Exercises 3. Teacher: Mateu Serra.
  7. CONFUSION. Concept of confusion and methods for its detection and elimination (stratified analysis). Examples. Exercises 4. Teacher: Mateu Serra.
  8. INTERACTION or modification of the effect. Concept of interaction and methods for its detection. Examples. Exercises 5. Teacher: Mateu Serra.
  9. APPROACH TO EPIDEMIOLOGY STUDIES: Criteria for their classification, characteristics of the various types of designs, advantages and limitations. Teacher: Mateu Serra.
  10. DIAGNOSTIC TESTS: Concepts of "gold standard", sensitivity, specificity, predictive values ​​(positive and negative) and ROC curves. Exercises 6. Teacher: Mateu Serra.
  11. PARTIAL TEST 1st block (demography and epidemiology). Continued avaluation. Teacher: Mateu Serra and Elisabet Palomera
  12. DATA COLLECTION AND QUESTIONNAIRES: How to prepare a data collection notebook: selection of variables, definition of variables, measurement scales, sources of information. Data quality. Types of questionnaires (self-administered, ...), types of questions, validation of questionnaires.
  13. DATA MANAGEMENT: Database concept. How to create an electronic database with ACCESS. Teacher: Elisabet Palomera.
  14. ACCESS SEMINAR: Guided practices with ACCESS (creating a BBDD with Access). Teacher: Elisabet Palomera.
  15. DESCRIPTIVE STATISTICS: Description of quantitative variables: measures of central tendency (mean, median and mode) and measures of dispersion (standard deviation, range, quartiles). Description of quantitative variables: percentages. Teacher: Mateu Serra.
  16. DESCRIPTIVE STATISTICS AND DATA CLEANING SEMINAR: Analysis and interpretation of frequency tables and descriptive analyses, with the JAMOVI program. Practical cases Teacher: Elisabet Palomera.
  17. SAMPLING AND BASIC CONCEPTS OF INFERENTIAL STATISTICS I: Random sampling, standard error, confidence intervals. Exercises 7. Teacher: Mateu Serra.
  18. BASIC CONCEPTS OF INFERENTIAL STATISTICS II: Type 1 or alpha error, type 2 or beta error, statistical power, level of statistical significance (p), calculation of sample size. Exercises 8. Teacher: Mateu Serra.
  19. MAIN HYPOTHESIS CONTRAST TESTS: Comparison of means (T-Student, U-Mann Whitney, ANOVA) and comparison of proportions (Chi squared, Fisher and McNemar's exact test). Teacher: Elisabet Palomera.
  20. PROPORTION COMPARISON SEMINAR. Analysis and interpretation of the results of the comparison of proportions, with the JAMOVI program. Practical cases Teacher: Elisabet Palomera.
  21. SEMINAR COMPARISON OF AVERAGES. Analysis and interpretation of the results of the comparison of averages, with the JAMOVI program. Practical cases Teacher: Elisabet Palomera.
  22. LINEAR AND LOGISTIC REGRESSION. Concept and interpretation of simple and multiple linear regression analysis and simple and multiple logistic regression analysis. Practical examples. Teacher: Mateu Serra.
  23. LINEAR REGRESSION AND LOGISTICS SEMINAR. Analysis and interpretation of linear regression and logistic regression results, with the JAMOVI program. Practical cases Teacher: Elisabet Palomera.
  24. SURVIVAL ANALYSIS. Concept and interpretation of survival analysis and Kaplan-Meier tables. Practical examples. Teacher: Mateu Serra.
  25. Concept and interpretation of META-ANALYSIS. Practical examples. Teacher: Mateu Serra.
  26. PARTIAL TEST 2nd block (Biostatistics). Continued avaluation. Teacher: Mateu Serra and Elisabet Palomera.

Evaluation system

The assessment system for the skills and learning outcomes of this subject includes different assessment activities for Subject 3 - Public Health, Communication and Research in Health:


Evaluation system Minimum weighting Maximum weighting
SE1. Exam 20% 40%
SE2. Individual works 20% 40%
SE3. Teamwork 20% 40%
SE4. Classroom participation 5% 40%
SE5. Seminars 10% 50%
SE7. Practical test 5% 40%


A system of quantitative (from 0 to 10) and qualitative (suspended, approved, notable, excellent, honorary registration) is used according to RD 1125/2003.

The total or partial copy in any of the learning activities means a "Not Presented" in the subject, without option to present in the proof of recovery and without prejudice of the opening of a file for this reason.

According to UPF regulations, students who have the option of retrieving the subject are those who have obtained a “suspended” grade, which are the only ones that can be modified in the recovery process.

The evaluation system and recovery period are detailed in the Learning Plan available in the virtual classroom at the beginning of the subject.