Format: Live instructor-led online training via Zoom / Microsoft Teams

Biostatistics and Epidemiology Training Course

Course Introduction

The Biostatistics and Epidemiology Training Course is designed to equip participants with comprehensive knowledge and practical skills in applying statistical methods and epidemiological principles to public health research, clinical investigations, disease surveillance, and evidence-based decision-making. In today's rapidly evolving healthcare and development environment, governments, healthcare institutions, research organizations, and development agencies increasingly rely on biostatistics and epidemiology to understand disease patterns, evaluate interventions, assess risk factors, and formulate effective public health policies. This course provides participants with practical competencies in statistical analysis, epidemiological study design, disease measurement, data interpretation, and research reporting required for high-quality health research and program implementation.

The course focuses on the fundamental and advanced concepts of biostatistics and epidemiology, including descriptive and inferential statistics, probability distributions, epidemiological measures, disease surveillance systems, study design methodologies, sampling techniques, hypothesis testing, regression analysis, outbreak investigations, and interpretation of health data. Participants will gain practical experience in applying biostatistical and epidemiological methods to analyze health information, monitor disease trends, assess intervention effectiveness, and generate reliable evidence for health planning and policy development.

As healthcare systems and public health programs increasingly emphasize data-driven management and evidence-based interventions, competencies in biostatistics and epidemiology have become indispensable for researchers, healthcare professionals, monitoring and evaluation specialists, policy analysts, and development practitioners. This training emphasizes analytical reasoning, scientific rigor, research integrity, and quantitative problem-solving approaches that improve research quality, strengthen disease surveillance systems, and support informed public health and organizational decision-making.

Through presentations, practical exercises, computer-based applications, collaborative group activities, and real-world case studies, participants will develop competencies necessary to design, implement, analyze, and communicate biostatistical and epidemiological studies effectively. Upon completion of this course, participants will be capable of applying statistical and epidemiological techniques to investigate health problems, evaluate interventions, support strategic planning, and contribute to improved health outcomes and sustainable development initiatives.

Course Objectives

Upon completion of this course, participants will be able to:

1.     Understand the principles and applications of biostatistics and epidemiology.

2.     Apply statistical methods in health and biomedical research.

3.     Measure and interpret disease occurrence and distribution patterns.

4.     Design epidemiological studies and formulate research questions and hypotheses.

5.     Apply sampling techniques and data collection methods in health research.

6.     Conduct descriptive and inferential statistical analyses of health data.

7.     Evaluate associations between risk factors and health outcomes.

8.     Utilize epidemiological findings for disease prevention and health policy development.

9.     Prepare professional health research reports and scientific presentations.

10.  Utilize biostatistical and epidemiological evidence to support public health decision-making and program evaluation.

Organizational Benefits

Organizations that invest in this training will benefit by:

1.     Strengthening evidence-based public health planning and decision-making processes.

2.     Improving disease surveillance and outbreak response systems.

3.     Enhancing health research and epidemiological investigation capabilities.

4.     Supporting effective program monitoring and evaluation frameworks.

5.     Improving policy development through reliable statistical evidence.

6.     Strengthening health information management and reporting systems.

7.     Building staff competencies in data analysis and epidemiological methods.

8.     Enhancing organizational capacity to identify and manage health risks.

9.     Improving intervention design and resource allocation strategies.

10.  Promoting continuous learning, accountability, and improved health outcomes.

Target Participants

This course is designed for public health professionals, researchers, epidemiologists, statisticians, healthcare managers, medical officers, nurses, monitoring and evaluation specialists, program managers, policy analysts, laboratory personnel, academicians, postgraduate students, development practitioners, government officials, and professionals involved in health research, disease surveillance, program evaluation, and evidence-based healthcare management.

Course Outline

Module 1: Foundations of Biostatistics and Epidemiology

1.     Principles and concepts of biostatistics and epidemiology

2.     Importance of biostatistics and epidemiology in public health research

3.     Types of health data and measurement scales

4.     Population health concepts and determinants of health

5.     Introduction to statistical and epidemiological software applications

6.     General Case Study: Assessing disease burden and health service utilization patterns in a community

Module 2: Descriptive Statistics in Health Research

1.     Data organization and classification techniques

2.     Frequency distributions and tabulation methods

3.     Measures of central tendency and dispersion

4.     Graphical presentation of health data

5.     Interpretation of descriptive statistical findings

6.     General Case Study: Summarizing maternal and child health survey data

Module 3: Principles of Epidemiological Study Design

1.     Types of epidemiological study designs

2.     Cross-sectional and ecological studies

3.     Case-control and cohort study methodologies

4.     Experimental and intervention studies

5.     Strengths and limitations of epidemiological designs

6.     General Case Study: Designing an epidemiological study to investigate risk factors associated with non-communicable diseases

Module 4: Measures of Disease Frequency and Association

1.     Incidence and prevalence measurements

2.     Morbidity and mortality indicators

3.     Relative risk and odds ratio calculations

4.     Attributable risk and population impact measures

5.     Interpretation of epidemiological indicators

6.     General Case Study: Measuring disease occurrence and associated risk factors during a community health assessment

Module 5: Sampling Techniques and Data Collection Methods

1.     Principles of sampling in health research

2.     Probability and non-probability sampling methods

3.     Sample size determination procedures

4.     Survey design and questionnaire development

5.     Ethical considerations in health data collection

6.     General Case Study: Designing a health survey and sampling framework for disease surveillance

Module 6: Probability Theory and Statistical Inference

1.     Principles of probability distributions

2.     Sampling distributions and standard errors

3.     Confidence intervals and estimation techniques

4.     Principles of statistical significance testing

5.     Interpretation of inferential statistical results

6.     General Case Study: Estimating population health indicators using survey sample data

Module 7: Hypothesis Testing in Health Research

1.     Formulating research hypotheses

2.     Null and alternative hypotheses

3.     Type I and Type II errors

4.     Parametric and non-parametric testing procedures

5.     Interpretation of p-values and confidence levels

6.     General Case Study: Testing differences in health outcomes between intervention and control populations

Module 8: Correlation and Regression Analysis

1.     Principles of correlation analysis

2.     Simple and multiple regression techniques

3.     Logistic regression applications in epidemiology

4.     Interpretation of regression coefficients

5.     Predictive modeling and risk assessment techniques

6.     General Case Study: Examining factors associated with childhood malnutrition

Module 9: Disease Surveillance and Outbreak Investigation

1.     Principles of disease surveillance systems

2.     Surveillance data collection and management

3.     Outbreak investigation methodologies

4.     Epidemic curve development and interpretation

5.     Public health response and control strategies

6.     General Case Study: Investigating and responding to an infectious disease outbreak

Module 10: Monitoring and Evaluation in Public Health Programs

1.     Principles of monitoring and evaluation

2.     Developing health indicators and performance frameworks

3.     Outcome and impact assessment techniques

4.     Data quality assurance and management

5.     Utilization of monitoring and evaluation findings

6.     General Case Study: Evaluating the effectiveness of immunization programs

Module 11: Health Research Reporting and Scientific Communication

1.     Structure and components of health research reports

2.     Presentation of statistical and epidemiological findings

3.     Writing evidence-based conclusions and recommendations

4.     Developing policy briefs and technical reports

5.     Communicating findings to stakeholders and decision-makers

6.     General Case Study: Preparing an epidemiological report to support health policy formulation

Module 12: Emerging Trends in Biostatistics and Epidemiology

1.     Big data applications in public health research

2.     Digital epidemiology and health informatics

3.     Geographic information systems in disease mapping

4.     Artificial intelligence and predictive health analytics

5.     Future trends in biostatistics and epidemiological research

6.     General Case Study: Developing predictive analytics models for disease prevention and health system planning

General Information

1.     Customized Training: All our courses can be tailored to meet the specific needs of participants.

2.     Language Proficiency: Participants should have a good command of the English language.

3.     Comprehensive Learning: Our training includes well-structured presentations, practical exercises, web-based tutorials, and collaborative group work. Our facilitators are seasoned experts with over a decade of experience.

4.     Certification: Upon successful completion of training, participants will receive a certificate from Foscore Development Center (FDC-K).

5.     Training Locations: Training sessions are conducted at Foscore Development Center (FDC-K) centers. We also offer options for in-house and online training, customized to the client's schedule.

6.     Flexible Duration: Course durations are adaptable, and content can be adjusted to fit the required number of days.

7.     Onsite Training Inclusions: The course fee for onsite training covers facilitation, training materials, two coffee breaks, a buffet lunch, and a Certificate of Successful Completion. Participants are responsible for their travel expenses, airport transfers, visa applications, dinners, health/accident insurance, and personal expenses.

8.     Additional Services: Accommodation, pickup services, freight booking, and visa processing arrangements are available upon request at discounted rates.

9.     Equipment: Tablets and laptops can be provided to participants at an additional cost.

10.  Post-Training Support: We offer one year of free consultation and coaching after the course.

11.  Group Discounts: Register as a group of more than two and enjoy a discount ranging from 10% to 50%.

12.  Payment Terms: Payment should be made before the commencement of the training or as mutually agreed upon, to the Foscore Development Center account. This ensures better preparation for your training.

13.  Contact Us: For any inquiries, please reach out to us at training@fdc-k.org or call us at +254712260031.

14.  Website: Visit our website at www.fdc-k.org for more information.