Epidemiology in the Digital Age
Epidemiology, the study of how diseases spread and can be controlled, has undergone significant transformations in the digital age. With advancements in technology and the increasing availability of digital data, the field of epidemiology has evolved to incorporate new tools and methodologies.
- 3hrs/day for 21 days
- GH¢1,500
Overview
This module is designed to equip participants on how to use technology and data in epidemiological research.
The module consists of the following:
●Introduction to Epidemiology
Definition and Scope.
Understanding epidemiology in healthcare and its role in public healthand healthcare planning.
●Disease transmission dynamics
●Reproductive number (R0) and its significance.
●Compartmental Models Introduction to the Susceptible-Infectious Recovered Model Equations and assumptions.
Extensions of SIR Model.
●Utilizing digital tools for real-time
monitoring of health-related data.
●Processing and analyzing large
datasets to extract meaningful patterns and insights.
Target Audience
●Public Health Professionals: Those who are already working in the field of public health and wish to update their skills with the latest digital tools and data analysis techniques.
● Healthcare Providers: Doctors, nurses, and other healthcare workers who are interested in understanding how digital data can be used for disease surveillance and patient care.
● Researchers and Academics: Individuals involved in health research or teaching who want to incorporate digital epidemiology methods into their work.
●Policy Makers: Officials who make health policy decisions and can benefit from insights provided by digital epidemiology to inform evidence-based decision-making.
● Students: Those studying nursing, public health, epidemiology, or related fields who want to gain a modern perspective on disease tracking and analysis.
● IT Professionals: Data scientists, analysts, and information technology experts who are interested in the application of their skills in the health sector.
Contact us
Computer Laboratory, Dansoman Campus