Introduction

In today’s data-driven healthcare ecosystem, Survey Design in Public Health has become a critical competency for professionals seeking to generate actionable evidence, improve health systems, and support policy development. Survey Design in Public Health Training Course equips participants with advanced skills in public health data collection, epidemiological survey methods, digital health research, health needs assessment, community-based research, monitoring and evaluation (M&E), evidence-based decision-making, and health informatics. Participants will learn how to design scientifically sound surveys that address emerging global health priorities such as pandemic preparedness, maternal and child health, non-communicable diseases (NCDs), health equity, climate-sensitive health risks, vaccination coverage, and universal health coverage (UHC).

The course integrates modern methodologies and innovative technologies including mobile data collection, AI-assisted analytics, GIS mapping, real-time health surveillance, mixed-methods research, behavioral health analysis, and digital epidemiology. Through practical exercises, real-world case studies, and hands-on survey simulations, participants will develop competencies in questionnaire development, sampling techniques, ethical research standards, data quality assurance, statistical interpretation, stakeholder engagement, and impact evaluation. This training is ideal for organizations and professionals seeking to strengthen public health intelligence, program effectiveness, donor reporting, and sustainable healthcare interventions.

Programme Curriculum

Survey Design in Public Health Training Course

Introduction

Course Duration

5 days

Course Objectives

By the end of the training, participants will be able to:

Understand modern principles of public health survey design and epidemiological research.
Develop high-impact digital data collection tools and smart questionnaires.
Apply advanced sampling methodologies and population health analytics.
Conduct community health assessments and behavioral health surveys.
Integrate AI-powered data analysis and real-time reporting systems.
Design surveys aligned with Sustainable Development Goals (SDGs) and Universal Health Coverage (UHC).
Implement ethical standards in health research governance and data privacy compliance.
Use GIS and geospatial mapping technologies for health surveillance.
Improve monitoring, evaluation, accountability, and learning (MEAL) systems.
Analyze health inequities, gender-sensitive data, and vulnerable populations.
Develop evidence for policy advocacy, donor reporting, and strategic planning.
Strengthen pandemic preparedness and outbreak response surveys.
Produce actionable insights using data visualization, dashboards, and predictive analytics.

Target Audience

Public Health Officers
Monitoring & Evaluation Specialists
Epidemiologists and Researchers
NGO and Humanitarian Program Staff
Healthcare Administrators and Managers
Government Health Officials and Policy Makers
Data Analysts and Health Information Officers
University Researchers and Graduate Students

Course Modules

Module 1: Foundations of Public Health Survey Design

Principles of public health research
Types of health surveys
Survey lifecycle management
Quantitative vs qualitative approaches
Public health indicators and metrics
Case Study: COVID-19 Community Surveillance Survey – Designing rapid response surveys for outbreak monitoring.

Module 2: Questionnaire Development and Digital Data Collection

Designing structured questionnaires
Mobile and cloud-based survey tools
Question logic and skip patterns
Pilot testing and validation
Reducing survey bias
Case Study: Maternal Health Digital Survey using KoboToolbox and ODK platforms.

Module 3: Sampling Techniques and Population Representation

Probability and non-probability sampling
Cluster and stratified sampling
Sample size determination
Hard-to-reach population sampling
Sampling error reduction
Case Study: National Immunization Coverage Survey using multistage cluster sampling.

Module 4: Ethics, Data Privacy, and Research Compliance

Informed consent procedures
Health research ethics review
Data protection and confidentiality
Ethical issues in vulnerable populations
International compliance standards
Case Study: HIV/AIDS Behavioral Survey Ethics Review in marginalized communities.

Module 5: Data Quality Assurance and Monitoring

Data verification and validation
Quality control mechanisms
Real-time monitoring dashboards
Field supervision strategies
Error detection and correction
Case Study: Nutrition Assessment Survey Quality Audit in rural health programs.

Module 6: Data Analysis, Visualization, and Interpretation

Descriptive and inferential statistics
Health data visualization techniques
Dashboard and reporting tools
AI-assisted public health analytics
Translating findings into policy recommendations
Case Study: Non-Communicable Disease (NCD) Risk Factor Survey Analysis using SPSS/Power BI.

Module 7: GIS Mapping and Digital Epidemiology

GIS fundamentals for health surveys
Spatial data collection
Disease hotspot mapping
Geospatial health analytics
Digital surveillance systems
Case Study: Malaria Prevalence Mapping Project using GIS technology.

Module 8: Monitoring, Evaluation, and Impact Assessment

Designing M&E frameworks
Key performance indicators (KPIs)
Impact evaluation methodologies
Results-based management
Donor and stakeholder reporting
Case Study: Child Vaccination Program Impact Evaluation for donor-funded interventions.

Training Methodology

This course employs a participatory and hands-on approach to ensure practical learning, including:

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Questionnaire development Sampling methods Data collection planning Survey analysis

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000