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78236-01 - Vorlesung mit Übungen: From Data to Impact: A Practical Guide to Inference for Infectious Disease Dynamics (2 KP)
| Semester | Frühjahrsemester 2026 |
| Angebotsmuster | Jedes Frühjahrsem. |
| Dozierende |
Monica Golumbeanu (monica.golumbeanu@unibas.ch, BeurteilerIn)
Christian Selinger (christian.selinger@unibas.ch) |
| Inhalt | Infectious diseases involve complex dynamics that can only be fully understood by looking beyond descriptive patterns to the underlying mechanisms of transmission and control. Mathematical models provide a powerful framework for this task: they help us interrogate data, uncover hidden structure, and explore “what if” scenarios that cannot be tested directly in real life. By doing so, models can inform decision-making and support public health planning. This course offers a practical introduction to statistical and mathematical inference for infectious disease dynamics. Through a series of case studies focusing on malaria dynamics, participants will learn how to select suitable methods, build and apply models, and, most importantly, develop critical thinking in the use of quantitative approaches for data-driven impact. |
| Lernziele | - Understand and integrate diverse data sources including epidemiological, climatic, and genomic data to study infectious disease dynamics and evaluate intervention impact. - Apply a range of modelling approaches including time series models, mechanistic mathematical models, and parameter inference techniques to real-world infectious disease data. - Perform model selection and critical assessment, evaluate model assumptions, limitations, and appropriateness for specific research questions. - Interpret and communicate results, critically analyse model outputs and draw meaningful conclusions across different contexts and applications. |
| Bemerkungen | We also encourage attending Prof. Chitnis’ course on Infectious Disease Modeling: https://vorlesungsverzeichnis.unibas.ch/en/course-directory?id=299213 However, this is entirely optional. Our course is fully self-contained. |
| Unterrichtssprache | Englisch |
| Einsatz digitaler Medien | kein spezifischer Einsatz |
| HörerInnen willkommen |
| Intervall | Wochentag | Zeit | Raum |
|---|---|---|---|
| wöchentlich | Mittwoch | 16.15-18.00 | Swiss TPH Neubau, Seminarraum 4 |
Einzeltermine
| Datum | Zeit | Raum |
|---|---|---|
| Mittwoch 25.02.2026 | 16.15-18.00 Uhr | Fasnachtswoche |
| Mittwoch 04.03.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 11.03.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 18.03.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 25.03.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 01.04.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 08.04.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 15.04.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 22.04.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 29.04.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 06.05.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 13.05.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 20.05.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Mittwoch 27.05.2026 | 16.15-18.00 Uhr | Swiss TPH Neubau, Seminarraum 4 |
| Module |
Modul: Advances in Epidemiology, Statistics and Global & Public Health (Masterstudium: Epidemiologie) |
| Prüfung | Lehrveranst.-begleitend |
| Hinweise zur Prüfung | Pass/Fail based on in class participation and homework (work in groups) |
| An-/Abmeldung zur Prüfung | Anm.: Belegen Lehrveranstaltung; Abm.: stornieren |
| Wiederholungsprüfung | keine Wiederholungsprüfung |
| Skala | Pass / Fail |
| Belegen bei Nichtbestehen | beliebig wiederholbar |
| Zuständige Fakultät | Philosophisch-Naturwissenschaftliche Fakultät, studiendekanat-philnat@unibas.ch |
| Anbietende Organisationseinheit | Schweizerisches Tropen- und Public Health-Institut |