Status
Active (since 2020)
Project Facts
- Duration Initiated in 2020; ongoing development and application
- Funding source ANRS (Agence Nationale de Recherches sur le Sida et les hépatites virales) COV23 COMOKIT project, EDF R&D
- Principal investigator Dr. Alexis Drogoul and Assoc. Prof. Dr. Nguyen Ngoc Doanh
- Field sites Applications in various urban settings, including cities in Vietnam and France
Objectives
- Provide a flexible modeling tool to simulate COVID-19 transmission dynamics
- Evaluate the effectiveness of different public health interventions
- Support policymakers in designing and implementing mitigation strategies
Focus areas
- Epidemiological Modeling: Simulate disease transmission considering individual behaviors and interactions.
- Policy Assessment: Analyze the impact of interventions like lockdowns, mask mandates, and social distancing.
- Multi-Scale Analysis: Adapt simulations to various geographic scales, from neighborhoods to countries.
Methodology
- Agent-Based Simulation: Model individual agents with specific attributes and behaviors to reflect real-world dynamics.
- Scenario Testing: Run simulations under different intervention scenarios to compare outcomes.
- Data Integration: Incorporate demographic, mobility, and health data to enhance model accuracy.
Results
- Offer insights into the potential outcomes of various public health strategies.
- Aid in allocating medical and logistical resources effectively during pandemics.
Partners & stakeholders
- Research Institutions: IRD, UMMISCO, MIVEGEC, DIADE, INRAE, Thuyloi University, Can Tho University, School of Public Health, The University of Hong Kong
- Funding Partners: ANRS, EDF R&D
