Remote Sensing for Climate-Sensitive Infectious Diseases
Start Date:
Oct. 7, 2025
End Date:
Oct. 9, 2025
Description:
In this training, participants will learn the basic principles of how satellite remote sensing data can be applied to track climate-sensitive vector-borne disease outbreaks and provide early warnings for potential outbreaks.
Targeted Audience:
Biostatisticians, medical students, vector ecologists, and biologists studying disease vector organisms.
Public health officials and non-governmental organization (NGOs) tasked with monitoring and preparing for infectious disease outbreaks.
Expected Outcomes:
By the end of this training attendees will be able to:
-Identify environmental variables and conditions that can be observed from space which are relevant to climate-sensitive infectious disease outbreaks.
-Identify the steps and tools needed to study climate-sensitive infectious disease outbreaks using remote sensing data.
-Recognize several remote sensing datasets commonly used to study and forecast climate sensitive infectious diseases, along with their key attributes such as resolution, coverage, latency, and uncertainty.
-Select appropriate remote sensing datasets for studying climate-sensitive infectious diseases based on the disease characteristics, region of interest, and relevant environmental parameters.
-Examine the benefits and challenges of using remote sensing data for studying climate-sensitive infectious diseases through the case study of the EPIDEMIA system tracking and forecasting malaria in Ethiopia.
