- Manager: Rogers Kimathi
- Teacher: Ambrose Kimaiyo
- Teacher: Bonface Mugwe
Course Overview
There is no content in this section.
To add content, click on the above link ‘Edit course text’
Course Content
Reviews
Reviews
Enrolment options
Self enrolment (Student)
Guests cannot access this course. Please log in.
Latest Courses
In today’s interconnected world, health threats emerge rapidly, from infectious disease outbreaks to environmental hazards and community-level rumors. Event-Based Surveillance (EBS) enables health systems to detect, verify, and respond to unusual events in real time, safeguarding populations and preventing crises. This course equips learners with the knowledge and practical skills to contribute to EBS implementation at community, national, and global levels. What are some of the topics will you cover? Public Health Surveillance Strategies for implementation of Event-based surveillance in Kenya Signal detection, reporting, triaging, verification, risk assessment, public health response and escalation EBS Training approach Mentorship and adult learning principles Monitoring, evaluation, and supportive supervision in EBS Digital applications supporting EBS When can you start? Start straight away and join a hundred of enthusiastic EBS actors taking this course. If the course hasn’t started yet, you’ll see the future date listed below. How long will it take you to finish the course? This is a self-paced course, meaning you can log in and take the course at your convenience. The course will however, only remain open for a period of four (4) weeks. You are advised to set aside approximately 2-3 hours per day for this course. What will you achieve? By the end of the course, you should be able to: Describe the background of Event-Based Surveillance Describe the process of Event-Based Surveillance Conduct training and mentorship for Event-Based Surveillance actors Implement monitoring and evaluation strategies in Event-Based Surveillance Utilize digital applications in Event-Based Surveillance Contribute to public health preparedness and response at local, national, and global levels Who is the course for? This course is designed for: EBS actors drawn from human, animal and environmental health Surveillance officers from all health care levels Humanitarian and emergencies responders Public health professionals, healthcare workers and policymakers Students and researchers interested in EBS EBS skills are highly valued in outbreak preparedness, humanitarian response, and health system strengthening, making this course relevant for both new learners and experienced practitioners. How can you achieve certification? You will be awarded a digital certificate upon completion of all course requirements. You will also acquire CPD points in-line with your regulatory body What is the course completion criteria? Interact with all course materials provided Attempt all quizzes and attain the pass mark indicated for each quiz Complete the course within the allocated timeline Who developed the course? This course was developed by the Division of Disease Surveillance and Response, MoH Kenya, with technical support from Task Force for Global Health (C19 Global Fund) and other partners. Who will be your Course Facilitators? Course Facilitator’s Name Email address Unit One 1. Caroline Cheptoo 2. Philip Ngere 3. Zephaniah Irura ebselearningcourse@gmail.com Unit Two 1. Cythia Musumba 2. Wellington Odour Unit Three 1. Abdirizack Sheikh 2. Wellington Odour 3. Oscar Gaunya Unit Four 1. Komu Mutunga 2. Yusuf Ajack 3. Nargis Kaka, Martin Unit Five 1. Brian Kadenge 2. Kadenge Yaa 3. Charles Mugambi How can you get support as you take this course?Feel free to email the respective course facilitators using the email address above You are also invited to join this WhatsApp group to engage with your course facilitators and your fellow learners WhatsApp link: https://chat.whatsapp.com/FLespsBfsmaICBKOXLDtAn?mode=ems_copy_c Disclaimer: The pictures and images portrayed in this course are purely the work of the authors’ imagination, and are artificial intelligence (AI) generated. Where real images have been used, consent has been provided. Any resemblance to actual persons, living or dead, events or localities is entirely coincidental.