During this course, which aims at bridging the gap between cutting-edge science and technology and the actual practices in local public health, participants will acquire knowledge relevant to digital epidemiology, enhancing their public health toolkit.
The COVID-19 pandemic has underscored the crucial need to more fully integrate computational methods into public health practices. Techniques such as digital contact tracing have proven to be significantly impactful during the pandemic. Yet, their adoption remains limited, often due to a gap between cutting-edge science and technology and the actual practices in local public health. This course aims to bridge this divide. We will immerse participants in the challenges of epidemiology and public health, showing them recent and current examples of digital epidemiology. Participants will acquire knowledge relevant to digital epidemiology, enhancing their public health toolkit.
The course will culminate in group presentations, where participants will share their insights and recommendations based on their analysis of scientific articles related to digital epidemiology.
By the end of the course participants will:
Basic background in epidemiology or public health is advantageous but not required.
The following methods will be used:
To get the Certificate of completion and the 1 ECTS participants MUST:
The facilitators plan to be in Lugano, and the course will be held entirely on-site. In case of a change of regional policies (e.g., Covid) or personal reasons, the course could change to online or hybrid format.