Genomic data applications & their appreciation
This course is designed to introduce public health professionals to the field of genomic epidemiology. As genomic technologies become increasingly critical in understanding and controlling infectious diseases, public health workers need to harness the power of genomics to improve population health. This course provides an introductory overview of genomic epidemiology, emphasizing the role of public health collaborators in the practical applications in disease surveillance, outbreak investigation, and antimicrobial resistance (AMR) monitoring.
Instructor Team
- Abeeb Adeniyi (University of Ibadan, Nigeria)
- Angela Sofia Garcia Vega (AGROSAVIA, Colombia)
- Dr. Ayorinde Afolayan (University of Ibadan, Nigeria)
- Dr. El-Shama Nwoko (University of Ibadan, Nigeria)
- Elizabeth Akande (University of Ibadan, Nigeria)
- Emma Kumaran (University of Oxford, United Kingdom)
- Dr. Erkison Odih (University of Ibadan, Nigeria)
- Ferissa Ablola (Research Institute for Tropical Medicine, Philippines)
- Geetha Nagaraj (KIMS Hospital and Research Centre, India)
- Prof. Iruka Okeke (University of Ibadan, Nigeria)
- Dr. Julio Diaz Caballero (University of Oxford, United Kingdom)
- Dr. Khalil Abu-Dahab (University of Oxford, United Kingdom)
- Dr. Natacha Couto (University of Oxford, United Kingdom)
Acknowledgements
This workshop is funded by the National Institute for Health Research (NIHR).
Learning Outcomes
- Grasp the basics of genomic epidemiology and its role in public health.
- Learn to interpret and apply genomic data in disease surveillance and outbreak management.
- Understand the workflow of genomic surveillance for AMR.
- Develop skills to set up and manage a genomic epidemiology system within a public health setting.
- Gain practical experience with genomic epidemiology tools through hands-on exercises.
This course is ideal for public health workers seeking to build or enhance their capacity in genomic epidemiology and to be at the forefront of modern disease surveillance and response.