“There is no one size that fits all. We must work country by country, region by region, community by community, to ensure the diversity of needs are addressed to support each reality.” – Amina J. Mohammed, Deputy Secretary-General, UN
Since 2020 and the COVID-19 pandemic, governments around the world have had to design, develop, and deploy disease prevention and control strategies at unprecedented scale and speed. While COVID has been (among other things) a wake-up call, it has also revealed many complexities in managing population health.
Epidemiology and tracing tools are key to keeping populations safe in the face of contagious diseases. Yet the efficacy of these technology tools relies on a very human factor: trust in their security when it comes to personal data.
Ensuring that this security is both trustworthy and trusted requires different approaches depending on the population context and must be understood and adapted accordingly. In Sub-Saharan Africa, facing COVID and other epidemic outbreaks such as Ebola, successful implementation of epidemiological tools requires understanding of the entire context.
The project aims to develop a digitally scalable notification solution with the long-term goal to support national health systems. Critical focuses are: data privacy, relevant regulation compliance, interoperability across borders, and for the development of epidemiological models. We will use real-time data integration and artificial intelligence (AI) to further predict pandemic spread.
We will develop:
The project is at an early state of implementation with partners signed on and teams hired.
Photos: ICRC, Adobe