WEST BANK
Hub: Al-Quds University, WEST BANK (Nodes: Helwan University, Egypt; University of Jordan, Jordan )
Title: AI-powered mHealth system for infectious disease early detection and early warning systems (AIMED)
Team Members
Radwan Qasrawi
Director
Mohamed El-Kassas
Team Member
Emam Farouk
Team Member
Rania Abu Seir
Team Member
Nael Abu Halawa
Team Member
Mohamad Elbadry
Team Member
Faris Bakri
Team Member
Stephanny Polo
Team Member
Malak Sharif
Team MemberGeneral Objectives
Phase 1
1. To investigate the potential of Mobile cloud AI and Big Data Analytics technology in improving early detection and warning systems for emerging and re-emerging infectious diseases.
2. To investigate the potential of Mobile cloud AI and Big Data Analytics technology in improving early response and the mitigation of the effect of infectious diseases.
3. To generate models that simulate the spread of infectious diseases which can be utilized to help in the containment of these diseases.
Phase 2:
4- To develop and validate a mobile cloud system that utilizes AI and Big Data Analytics to enable early response of emerging and re-emerging infectious diseases.
5. To investigate the potential of AI-powered mobile cloud technology and Big Data Analytics in controlling and mitigating the effects of infectious diseases among at-risk populations.
Specific Objectives
1. To review existing literature on the use of Mobile cloud AI and Big Data Analytics in early detection and warning systems for emerging and re-emerging infectious diseases.
2. To identify contributing factors that influence the emergence and re-emergence of infectious diseases and the direct and indirect pathways that lead to spillover events.
3. To develop and validate a mobile cloud system that utilizes AI and Big Data Analytics to enable early detection of emerging and re-emerging infectious diseases.
4. To investigate the potential of AI-powered mobile cloud technology and Big Data Analytics in analyzing early warning signals simulated models of emerging and re-emerging infectious diseases and predicting the possibility of disease establishment.