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The purpose of the consultancy is to position a regional resource dedicated to supporting the strengthening of the early warning function of the surveillance system – more specifically its event-based surveillance component – in Member States through the implementation and adoption of the regional strategy of Integrated Disease Surveillance (IDS).
The mission of WHO’s Health Emergencies Programme (WHE) (The Programme) is to build the capacity of Member States to manage health emergency risks and, when national capacities are overwhelmed, to lead and coordinate the international health response to contain outbreaks and to provide effective relief and recovery to affected populations.
The Health Emergency Information and Risk Assessment Unit (HIM) is responsible for identifying new public health events, assessing risks to public health, conducting epidemiological surveillance and field investigations, monitoring public health interventions, and communicating public health information to technical partners.
The World Health Organization (WHO) proposes that Member States of the Eastern Mediterranean Region commit to implementing integrated disease surveillance systems by the end of 2025. Integrated Disease Surveillance will improve the efficiency and effectiveness of health information systems in using data to guide decisions, such as rapid detection and response to epidemics, priority-setting, intervention planning, resource mobilisation and allocation, and monitoring and evaluation. Most countries already have systems for disease-specific surveillance in place; however, these are usually not coordinated, and their implementation often leads to redundancies and gaps that make them less effective, particularly in early threat detection.
Output 1: Enhancement of Event-Based Surveillance (EBS) in EMR Member States
Deliverable 1.1: Support the development of the regional EBS guidance
Deliverable 1.2: Develop processes for implementing EBS in Member States requesting support.
Deliverable 1.3: Engage with identified Member States to initiate support for implementing EBS including EIOS.
Output 2: Support development of Monitoring Evalation Accountability and Learning (MEAL) Strategy
Deliverable 2.1. Conduct desk review to support context analysis
Deliverable 2.2. Support stakeholder mapping and draft engagement document
Deliverable 2.3. Conduct intradepartmental consultations to solicite feedback on draft strategy document
Essential: Completion of a university degree in medicine, public health or related field
Desirable: Relevant advanced qualification in epidemiology and/or public health
Essential: Minimum of 2 years of experience working in the country support, surveillance
Desirable: Working knowledge of the EIOS platform; Work experience with the WHO or other UN agencies.
Skills/Knowledge
· Good knowledge of WHO mandate and goals and UN programmes;
· Proven ability to communicate effectively. Excellent communication and writing skills;
· Ability to work effectively in a cross-cultural and multi-disciplinary environment;
· Excellent interpersonal skills and ability to work under pressure.
· Tact, discretion and diplomacy
Essential: Competent in written and verbal English
The work is expected to be carried out from the WHO Regional Office in Cairo, Egypt. Selected consultant may be deployed for surge in any EMR countries.
The selected consultant will be expected to provide a medical certificate of fitness for work.
Health Emergency Information and Risk Assessment – WHO’s Health Emergencies.
· Remuneration: National rate at NOB Level
· Expected duration of the contract: Start date: 01/07/2024 – End date: 29/09/2024
Enhanced WHO Global Competency Model: Enhanced WHO global competency model
Interested candidates are strongly encouraged to apply online through Stellis. For assessment of your application, please ensure that:
a) Your profile on Stellis is properly completed and updated.
b) All required details regarding your qualifications, education, and training are provided.
c) Your experience records are entered with elaboration on tasks performed at the time.
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