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 UMMISCOMIVEGEC and DIADE, assisted by colleagues from Thuyloi UniversityCan Tho UniversityINRAE and SPH-HKU, to design a realistic spatial computer model called COMOKIT, on the GAMA modeling and simulation platform.

With the support of ANRS (ANRS COV23 COMOKIT) and EDF R&D.

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:

An Agent-Based approach: Each inhabitant is represented individually with his/her specific characteristics (age, sex, household), clinical state and daily activities based on a generated agenda

A Flexible Policy representation: An Authority agent can be programmed to apply public health control policies consisting of a combination of mitigation measures and interventions.

Numerous Realistic Scenarios: 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.

More information of COMOKIT are available on the official website: