Outbreak Analytics, Epidemic Intelligence & Risk Assessment Training Workshop
5 Days5 sessions available Certificate on completion
The Outbreak Analytics, Epidemic Intelligence & Risk Assessment Training Workshop develops practical skills in outbreak signal detection, epidemiological data analysis, epidemic intelligence, geographical risk assessment and public health response planning. Designed for epidemiologists, surveillance officers, outbreak investigation teams and emergency response professionals, the workshop focuses on transforming diverse public health information into actionable intelligence for threat assessment, response prioritization and outbreak preparedness.
The workshop focuses on transforming surveillance reports, laboratory results, clinical records, community alerts and other public health information into actionable epidemic intelligence. Participants learn to analyze outbreak patterns, assess transmission dynamics, identify high-risk populations, evaluate potential health threats, prioritize response actions and communicate findings to decision-makers.
Core topics include outbreak signal detection, epidemic curve analysis, descriptive epidemiology, transmission indicators, data triangulation, event-based surveillance, rapid risk assessment, uncertainty analysis, geographical risk mapping and evidence-based response planning. Practical exercises use simulated or anonymized outbreak datasets to develop analytical reports, risk assessment matrices, early warning summaries and public health response recommendations.
Course objectives
Explain the principles of epidemic intelligence and outbreak analytics.
Produce an integrated outbreak analytics and risk assessment report.
Prioritize response measures according to risk, uncertainty and available resources.
Develop risk communication messages and situation reports.
Apply analytical tools to support outbreak forecasting and response planning.
Identify vulnerable populations and geographical areas at elevated risk.
Conduct structured rapid risk assessments using evidence and explicit assumptions.
Assess the magnitude, severity, spread and potential consequences of public health events.
Interpret epidemic curves, attack rates, transmission indicators and outbreak progression.
Analyze disease trends using person, place and time characteristics. Collect, clean, validate and integrate outbreak-related data from multiple sources.
Identify, verify and prioritize signals of potential public health threats.
Who should attend
Epidemiologists, public health officers, disease surveillance officers, outbreak investigation teams, public health emergency response personnel, laboratory surveillance professionals, medical officers, health information management officers, biostatisticians, public health researchers, emergency operations centre personnel, humanitarian health professionals, monitoring and evaluation specialists, NGO health programme managers, ministry of health personnel, county health department staff and postgraduate students in epidemiology and public health.
Course content
Module 1: Foundations of Outbreak Analytics and Epidemic Intelligence Definitions and scope of epidemic intelligence, outbreak analytics principles, intelligence-to-action workflows, event-based and indicator-based intelligence, routine surveillance and e
Module 2: Outbreak Signal Detection and Event Verification Identifying unusual disease patterns, interpreting alerts from health facilities and laboratories, community-based signals, hotline and media reports, signal validation, case definition verificati
Module 3: Outbreak Data Collection, Integration and Quality Assurance Outbreak line lists, case investigation forms, laboratory results, clinical records, contact tracing information, population denominators, data dictionaries, record linkage, missing and
Module 4: Descriptive Outbreak Epidemiology Person, place and time analysis, case distribution by age and sex, geographical distribution of cases, epidemic curves, attack rates, incidence and mortality measures, case-fatality ratios, comparison of affecte
Module 5: Epidemic Curves and Transmission Dynamics Point-source, continuous common-source and propagated outbreaks, incubation and infectious periods, generation intervals, epidemic growth and decline, transmission chains, reproduction number concepts, s
Module 6: Statistical Outbreak Analytics Descriptive statistics, confidence intervals, hypothesis testing, comparison of disease rates, relative risk and odds ratios, case-control analysis, cohort analysis, association between exposures and outcomes, conf
Module 7: Epidemic Intelligence from Multiple Information Sources Triangulation of surveillance and laboratory data, clinical and community reports, environmental and animal health information, open-source epidemic intelligence, structured review of publi
Module 8: Rapid Risk Assessment Frameworks Purpose and scope of rapid risk assessment, hazard identification, likelihood and consequence assessment, severity and spread, population vulnerability, exposure pathways, health system capacity, geographical con
Module 9: Geospatial Analytics and Population Risk Mapping Mapping case distribution, population density and exposure patterns, geographical clustering, hotspot analysis concepts, population movement and connectivity, identifying underserved and high-risk
Module 10: Outbreak Forecasting and Scenario Analysis Short-term disease trend analysis, baseline comparison, simple forecasting approaches, expected case trajectories, scenario assumptions, potential changes in transmission, healthcare demand projections
Module 11: Vulnerability Assessment and Health System Risk Identifying vulnerable population groups, age and comorbidity considerations, displacement and population movement, access to healthcare, vaccination and immunity gaps, water and sanitation condit
Module 12: Response Prioritization and Public Health Decision Support Linking risk assessment to action, selection of control measures, prioritizing field investigations, laboratory testing strategies, isolation and infection prevention measures where app
Module 14: Outbreak Coordination, Monitoring and Evaluation Incident management structures, coordination between surveillance and response teams, information-sharing protocols, situation reporting cycles, monitoring response indicators, tracking actions a
Module 15: Integrated Outbreak Analytics and Risk Assessment Capstone Reviewing a simulated outbreak alert, validating available information, cleaning and analyzing a line list, constructing an epidemic curve, calculating outbreak indicators, identifying
General notes
Practical Exercises and Expected Outputs Validate a simulated outbreak alert — alert verification checklist, clean a line list — validated outbreak dataset, analyze case distribution by person, place and time — descriptive epidemiological summary, construct an epidemic curve — outbreak progression chart, calculate attack rates and case-fatality ratios — outbreak indicator worksheet, analyze exposure and disease associations — risk factor analysis report, triangulate surveillance and laboratory information — epidemic intelligence summary, conduct a rapid risk assessment — risk assessment matrix, map affected communities — outbreak risk map, compare possible outbreak scenarios — scenario analysis report, assess health system readiness — capacity and vulnerability assessment, develop response priorities — prioritized action plan, prepare a technical situation report — outbreak intelligence bulletin, complete the capstone project — integrated outbreak analytics and risk assessment report.
Recommended Software and Tools Excel, Power BI, Python, R, SQL, QGIS, DHIS2, KoboToolbox, Epi Info, GPS-enabled devices, WHO outbreak investigation guidance, WHO rapid risk assessment resources, WHO Early Warning, Alert and Response resources, enterprise AI tools.
Training Methodology The workshop combines expert-led presentations, outbreak case studies, guided data analysis, group investigations, risk assessment simulations, geospatial analysis exercises, scenario-based decision-making and a capstone project. Participants work with simulated or appropriately anonymized data to practice evaluating alerts, interpreting epidemiological evidence, documenting uncertainty and developing proportionate response recommendations. Exercises can be adapted to infectious disease outbreaks, foodborne illness events, environmental health emergencies and other public health threats.
Expected Learning Outcomes Participants will be able to identify and validate outbreak signals, integrate information from multiple sources, analyze epidemic patterns, estimate key outbreak indicators, assess risks to affected populations and support evidence-based response prioritization. They will also develop practical outputs including outbreak analysis summaries, risk assessment matrices, geographical risk maps, situation reports and response recommendations. Particular emphasis is placed on distinguishing verified evidence from assumptions and ensuring that risk assessments are updated as new information becomes available.
Frequently asked questions
Epidemic intelligence is the systematic collection, assessment and interpretation of information from surveillance, laboratories, healthcare facilities, communities and other relevant sources to detect and understand public health threats and support timely action.
Outbreak analytics examines available data to understand disease patterns, transmission and outbreak progression. Risk assessment evaluates the likelihood and potential consequences of a public health threat to determine appropriate priorities and actions.
Yes. Participants analyze sample line lists, calculate epidemiological indicators, construct epidemic curves, compare population groups, assess risk factors and prepare outbreak reports.
Yes. The workshop can use Excel, Power BI, Python, R, QGIS, DHIS2 and other suitable platforms for data analysis, visualization and geographical assessment.
Expected outputs include an outbreak line list, an epidemic curve, an epidemiological indicator worksheet, an epidemic intelligence summary, a rapid risk assessment matrix, a risk map, a response action plan and an integrated outbreak report.
Yes. Participants explore how population movement, regional connectivity, information sharing, environmental factors and cross-border coordination can influence the assessment and management of public health threats.