EPIDEMIOLOGY AND BIOSTATISTICS Outbreak Investigation by Joseph Sichone BSc. BMS, MSc. OHAE - University of Zambia School of Health Sciences - Epidemiology and Biostatistics-unza

Description

This document is a comprehensive lecture on Outbreak Investigation for the Epidemiology and Biostatistics course (BMS4430 / RAD4620) at the University of Zambia's School of Health Sciences. It is authored by Joseph Sichone, BSc. BMS, MSc. OHAE. The lecture introduces students to the core concepts and systematic methodology for investigating disease outbreaks. It begins by defining key terms for disease occurrence, including cluster, sporadic, epidemic, endemic, and pandemic, and explains how disease monitoring and surveillance are used to identify when an epidemic occurs. The core of the material is a detailed, step-by-step guide to the ten stages of an outbreak investigation: constituting a multidisciplinary team, verifying the diagnosis, creating and applying a case definition, performing descriptive epidemiological analyses, developing and testing hypotheses, conducting supplemental laboratory or environmental investigations, refining hypotheses, implementing control and prevention measures, initiating or maintaining surveillance, and communicating findings. It provides practical instruction on creating epidemic curves to determine the pattern of spread (common source, point source, or propagated) and using statistical measures like relative risk to test hypotheses. The lecture highlights the critical role of the laboratory at multiple stages of the investigation and concludes with a reference to real-world case studies. This tertiary-level resource is essential for University of Zambia students in Biomedical Sciences and related health programs, equipping them with the structured approach and analytical skills needed to respond effectively to public health emergencies and contribute to disease control efforts in Zambia and beyond. Download this guide to master the principles and practices of field epidemiology and outbreak response.