This online course aims to improve skills in writing and reviewing scientific abstracts. The examples used will have a field epidemiology focus, such as outbreak investigations. Training methods include online lectures and exercises. Because this is a self-paced course, participants can decide on the distribution of time they wish to invest on each module of the course.
This e-learning is targeted to public health professionals in the domain of disease prevention and control, who plan to submit abstracts to scientific conferences. Watch the video below to get a taste of what you can find in this course.
This online course introduces you to the methodology of PRECEPT (Project on a Framework for Rating Evidence in Public Health), with a special focus on communicable diseases.
The course addresses public health professionals from all career levels with limited or no experience with evidence-based methods that would like to start applying the principles and methods of evidence-based practice in their daily work. The PRECEPT methodology helps to assess and grade evidence in a more systematic, transparent and reproducible way. It can be applied for example when developing systematic reviews or guideline documents.
Although the examples used in the course focus on communicable diseases, the PRECEPT methodology is applicable for different types of decision-relevant questions in different domains such as burden of disease, risk factors, diagnostics and interventions, which can also be of use to other health areas.
This course is designed to target individuals with no prior knowledge of Rapid Risk Assessment (RRA). It may also be used as a refreshment module prior to advanced courses in Risk Assessment.
This is a self-paced course and the estimated duration is between 3 and 5 hours of active learning.
After the completion of this course, participants will be able to:
- recognise components (steps) in rapid risk assessment production
- describe what is expected to be done in each step and
contribute to a team working on rapid risk assessment production
This course is designed to target individuals with no prior knowledge in Outbreak Investigation, however it will be especially useful to those with 1-2 years experience in public health. It may also be used as a refreshment module prior to advanced courses in Outbreak Investigation.
After the completion of this module, participants shall:
1.Be able to recognize the steps necessary to conduct an Outbreak Investigation.
2.Describe what is expected to be done in each of the 10 steps.
3.Discuss the relative order between the steps.
This online course has been developed since seasonal influenza vaccination of health care workers (HCWs) is recommended in Europe but vaccination uptake remains low in most countries. During the course information about influenza disease, protection against influenza, tools to assess vaccine uptake and barriers to vaccination as well as stimulating examples of successful campaigns will be presented. It is our hope that a community of vaccination campaign organizers will be built in Europe that can help inspire each other to create informative and effective seasonal influenza vaccination campaigns year after year.
The course is open from 22th October 2018. The course is self paced with no moderation.
In this introduction to Cross-border sharing of public health data e-learning course you will learn enough to have a basic practical understanding of the legislation that applies to the subject in context.
Public health data often contains personal data. During this course you will learn enough to begin applying the concepts of data protection in your day to day work as a public health professional. While the focus is on EU legislation, the concepts presented may also be relevant in other legal systems.
This course will be especially useful to non-legal public health professionals, with responsibilities in the field of communicable disease surveillance. Those who may need to share or process public health data, including those performing data surveillance activities, data gathering administration and clinical research.
This course aims to enhance knowledge of the basic bioinformatics tools available for analysis of sequencing data and of the interpretation, comparison and analysis of influenza sequence data, with a focus on haemagglutinin and neuraminidase genes.
Upon completion you will understand:
- Sanger and Next Generation Sequencing data analysis pipelines for HA and NA gene sequences
- Retrieval of sequences from public databases (GISAID and Genbank)
- HA and NA gene sequence alignments, mutations and SNP analysis for resistance (BioEdit)
- Phylogeny software: basic concepts and instructions for phylogenetic analysis (MEGA)
- Visualisation and annotation of phylogenetic trees
Find instructions on how to enrol in an open training activity in EVA.