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Background:
Emerging infectious diseases pose an increasing threat to health and economic development in Africa. In the past few years, the international community has moved towards a robust and well-coordinated response approach towards public health emergencies (PHE). Despite this, and other improvements in the increased speed of detection and response, rapid deployment of medical countermeasures and vaccines, the presence of timely access to funding in respect to many PHE remains unpredictable. In the circumstances where funding is secured, it is largely on an ad hoc basis and after occurrence of an event of a given magnitude. Slow and unpredictable funding amplifies both the risk and impact of outbreaks. Any delays in mounting an effective response leads to escalation of outbreak with sustained transmission leading to loss of life, socio-economic disruption of the communities, and negative impact on the nation’s development agenda.
The African Risk Capacity Specialized Agency of the African Union ARC) provides financial tools and infrastructure to help African Union (AU) Member States manage natural disaster risks and improve the way predictable natural disasters are responded to on the continent by reducing the time it takes for assistance to reach those affected through early and local response. ARC achieves this by bringing together three critical elements that create a powerful value proposition for its participants: early warning, contingency planning and sovereign parametric insurance. Together this package provides governments with access to immediate funds for early and planned responses to support vulnerable populations in the event of disasters.
Overview of ARC Outbreaks & Epidemics (O&E) Programme
Following the Ebola crisis that ravaged West Africa, African Ministers of Finance requested the ARC Secretariat in March 2015 to develop a product to address countries’ financing needs to contain outbreaks of viruses and diseases common to the African continent, and in the event of spread or secondary transmission. In the case of Ebola virus disease, financing was only mobilized (depending on the affected country) 4-9 months after the first cases were reported.
The design of this product is based on four distinct but related workstreams: Risk Profiling; Contingency Planning; Disease modeling with trigger definitions; and a Cost-Benefit Analysis of the ARC O&E model. ARC’s O&E programme is designed to address many of the problems inherent in early response for disease outbreaks and epidemics by:
Responsibilities
Reporting to the O&E Lead Advisor and working in close collaboration with the broader R&D team, the primary goal of the incumbent would be to build on the epidemic risk models developed by ARC for its outbreaks and epidemics programme and expand on the existing tools for application in all AU member states.
In addition, as part of its Covid-19 response contribution, ARC has developed COVID-19 Potential Outcomes Scenarios to show the potential impact of the current outbreak under a specific set of scenarios and assumptions; and a COVID-19 Spread Simulation Tool for Africa to enable users to simulate different COVID-19 spread scenarios for each African country, and observe the impact of different non-pharmaceutical intervention (NPI) policies.
The models conceptualization, design, and outputs were subjected to an exclusively assembled ARC O&E Technical Review Committee (TRC), alongside the ARC’ s Expert Advisory Panel (EAP) Members and other external partners.
Specific Tasks
Deliverables
Academic Background
At a minimum, a master’s degree in one of the following areas: mathematical modelling of infectious diseases epidemiology, public health emergencies, bioinformatics, computational biology, mathematics, statistics, physics, computer science, population biology or a similarly quantitative discipline.
Work Experience and other relevant skills
Consultancy duration
This vacancy for an Infectious Disease Modelling Expert is to fulfill a key role within the ARC O&E Team. This Regular Consultancy is envisaged to be conducted for 6 months, with possibility of extension subject to satisfactory performance and budget.
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