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ECDC Applied ID Epidemiology

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Domain A1: Descriptive epidemiology (7)
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A1.1 Describe the demographic profiles of populations, including population pyramids, and the factors that impact on population structure (e.g. mortality, fertility, and migration).
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A1.2 Identify the methods employed nationally and internationally to ensure comprehensive notification of infectious diseases to relevant statutory agencies.
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A1.3 Identify the available sources of individual and aggregated data on infectious diseases, such as surveillance data, hospital data, human health data, animal health data and data on sources of infection.
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A1.4 Calculate and interpret measures of diseases frequency (incidence, prevalence, age-specific rates, case fatality rates) and trends in disease rates over time.
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A1.5 Conduct analysis and comparison of disease rates between regions, between populations and over time, using direct and indirect standardisation procedures, as relevant.
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A1.6 Interpret disease trends from time series analyses.
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A1.7 Derive and interpret graphically represented data on disease rates and explain to relevant audiences.
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Domain A2: Epidemiological research methods (10)
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A2.1 Conduct critical appraisal of scientific literature using established tools, such as checklists for systematic reviews, rapid and long-term risk assessments, randomised controlled trials, cohort studies, case-control studies, economic evaluations, diagnostic studies, and qualitative studies, as relevant.
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A2.2 Write a study protocol, detailing the public health problem to be investigated and appropriate investigation techniques consistent with the problem and context.
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A2.3 Design epidemiological studies (e.g. population-based studies, cross-sectional studies, ecological studies) to investigate disease burden in a population, using appropriate sampling strategies.
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A2.4 Design epidemiological studies to investigate the determinants of disease, to ascertain associations and/or disease causation (e.g. cohort studies, case-control studies, cross-sectional studies, recognising the multifactorial nature of disease).
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A2.5 Design qualitative studies that are informed by behavioural sciences to explore qualitative aspects of the impact of infectious diseases on individuals, the community and health services.
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A2.6 Design, test and evaluate data collection methods, including case report forms and questionnaires.
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A2.7 Assess study instruments and their measurement properties, specifically their validity, reliability, and cross-cultural applicability.
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A2.8 Explain and apply the concepts of correlation and association in observational studies and apply relevant criteria for inferring causation from observational studies.
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A2.9 Recognise sources of bias, confounding, interaction and effect modification, and how to recognise and adjust for these in the study design and analytical techniques.
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A2.10 Estimate and interpret measures of effect from cohort studies, case control studies and randomised control trials.
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Domain A3: Data management and biostatistics (8)
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A3.1 Distinguish between variables and observations and describe the attributes of variables, including types of variables and level of measurement.
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A3.2 Describe the principles of data management including standardisation in data collection, collation of data electronically and assurance of the validity of data in a database.
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A3.3 Adhere to personal data privacy regulations and data protection legal frameworks, demonstrating data safety and security in all aspects of work.
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A3.4 Conduct data management and statistical analysis as an independent user of at least one statistical type of software (e.g. SPSS, R, STATA, SAS).
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A3.5 Describe the basic concept of probability and apply basic statistical procedures, such as descriptive statistics and basic inferential statistics.
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A3.6 Derive and interpret point estimates, confidence intervals, estimates of risk and significance levels, including p-values.
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A3.7 Describe the principles of multivariable analysis and survival analysis, conduct the analysis, and interpret the results.
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A3.8 Participate in the development and interpretation of statistical protocols.
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Domain A4: Disease modelling (3)
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A4.1 Communicate with disease modellers to ascertain the assumptions and processes of infectious disease predictive modelling.
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A4.2 Describe the applications and limitations of infectious disease predictive modelling in preparedness planning, forecasting and guidance for policy-makers.
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A4.3 Compare and interpret the results of different infectious disease models and scenarios, taking into account their assumptions.
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Domain B1: Preparedness for infectious disease outbreaks (8)
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B1.1 List the necessary steps to carry out preparedness planning for outbreaks, epidemics, and pandemics of infectious diseases, taking into account the lessons learned from recent pandemics.
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B1.2 Establish basic elements of preparedness, including health protection strategies and health promotion messages (e.g. for mass gatherings).
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B1.3 Characterise the general human health consequences of population exposure to chemical and biological hazards.
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B1.4 Design, implement and evaluate public health response strategies (e.g. case identification, contact management, quarantine, isolation, and support).
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B1.5 Describe the role of major stakeholders in preparedness planning and assess the capacity of field epidemiologists and public health teams to respond to infectious disease outbreaks, epidemics and pandemics.
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B1.6 Consider appropriate public health preparedness and response plans to infectious diseases in all relevant settings (e.g. healthcare facilities, schools, workplaces, direct provision centres).
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B1.7 Outline the steps in the development and application of multi-sectoral evidence-based responses to the control of infectious diseases in all settings.
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B1.8 Design, implement and evaluate epidemic and pandemic management strategies, including all effective public health and social measures.
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Domain B2: Surveillance for infectious diseases (7)
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B2.1 Define the type of surveillance data needed for risk assessment of public health threats and for the evaluation of public health measures.
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B2.2 Operate routine surveillance systems and develop new surveillance systems as required by public health needs, guiding their design and content.
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B2.3 Operate routine early warning systems and develop new early warning systems as the need arises, paying particular attention to the completeness and accuracy of data capture.
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B2.4 Analyse surveillance data for action, using event-based and indicator-based surveillance systems to identify cases or clusters of infectious disease in need of further investigation.
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B2.5 Recognise the role of surveillance data and outbreak management in protecting vulnerable groups and settings.
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B2.6 Recognise the value and limitations of working with data that were not primarily designed for surveillance or research, such as secondary data, electronic health records or ‘big data’, and integrate this into practice.
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B2.7 Be familiar with laws and declarations on surveillance and reporting at national, EU and international level (International Health Regulations).
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B2.8 Establish cross-border relationships and collaboration in the area of surveillance with public health teams in bordering geographical areas and engage with points of entry (PoE) in relation to international travel.
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