Public health policies implemented against the CoVid19 pandemic raise a number of questions.
The Institut de recherche pour le développement (IRD) in Vietnam has set up a multidisciplinary team of researchers from its research units UMMISCO, MIVEGEC and DIADE, assisted by colleagues from Thuyloi University, Can Tho University, INRAE and SPH-HKU, to design a realistic spatial computer model called COMOKIT, on the GAMA modeling and simulation platform.
COMOKIT aims at supporting deciders in answering the most pressing of these questions using an integrated model that combines:
- A sub-model of individual clinical dynamics and epidemiological status
- A sub-model of direct transmission of the infection from agent to agent
- A sub-model of environmental transmission through the built environment
- A sub-model of policy and interventions design and implementation
- An agenda-based model of people activities at a one-hour time step
The base model represents the spread of COVID-19 and the impact of control policies at the scale of a commune (~ 10.000 inhabitants) using:
Each inhabitant is represented individually with his/her specific characteristics (age, sex, household), clinical state and daily activities based on a generated agenda
An Authority agent can be programmed to apply public health control policies consisting of a combination of mitigation measures and interventions.
Each set of parameters (incl. the policies applied) represents a scenario, which can be explored by executing several simulations and compared against other scenarios in more elaborate experiments.
In most cases, only a file containing the built environment may be enough to build a simple model. More realistic scenarios will of course require more detailed datasets.
Here are some examples of COMOKIT in action
- Activity restrictions
- Physical Interventions
- Sensitivity Analysis
The people behind the first version of COMOKIT