COVID Control Simulator

Tags: Serious Game Playful Data Visualization Simulator

Date: Jan. 2020 - Jun. 2020

My Role: Lead Designer and Developer.

Team Size: 3


A serious but playful strategy simulation with an epidemiological dynamic SEIR model for city-level pandemic response, public-health tradeoffs, and data-informed decision-making. The project incorporated information from real news sources, scientific data, and our team's positionality as native Wuhan residents. It was featured by WPI News.

 

 

COVID Control Simulator

INTRODUCTION


COVID Control Simulator is a serious strategy game that places players in control of a city facing a pandemic. Players must balance saving lives, maintaining public morale, and sustaining the local economy while dealing with limited information, rapidly evolving situations, and the human stories behind every statistic. Our team collected more than 1,000 real-world news reports, then adapted this material into the game.

 

 

 

 

COVID Control Simulator

 

The project began in early 2020, as the first wave of COVID-19 swept through Wuhan. Motivated by our personal experiences and the desire to help others understand the complexities of pandemic response, we set out to capture the difficult choices faced by government officials during a crisis. Based on our team's experiences and positionality as native Wuhan residents, we designed the game to immerse players in the difficult tradeoffs involved in pandemic response. The game asks players to make responsible decisions under uncertainty, showing how delayed, careless, or poorly coordinated actions can produce cascading consequences for the affected population. Rather than presenting the pandemic only as a sequence of statistics or policy decisions, the game uses simulation and interactive systems to make the relationships among disease transmission, public communication, resource allocation, and civic responsibility more visible.

The simulator with real-world-based data and map.

Game's interface in Unity3D

COVID Control Simulator


Fighting Against Coronavirus is built on a systems engineering approach, utilizing a modified SEIR (Susceptible-Exposed-Infected-Recovered) transmission model to capture the complex dynamics of a viral outbreak. Key epidemiological parameters, such as infection rate, incubation period, and recovery rate, are dynamically influenced by player decisions, city policies, and resource availability. Policies like mask mandates, public transportation suspension, disinfection, and quarantine measures all feed into the simulation, reflecting their real-world impact on transmission.

Game systems go beyond just disease modeling: resources such as hospital beds, medical staff, and surgical masks are tracked and directly affect both health outcomes and available actions. A layered media system models public concern, panic, satisfaction, and government credibility, allowing players to manage information flow and citizen morale through simulated news and social media (rewritten from authentic sources). Research progress and pressure on scientists affect not only future healthcare capabilities, but also the pace at which new solutions can be deployed.

These interlocking systems create meaningful feedback loops: for example, inadequate healthcare capacity or mismanaged communication can trigger public panic or reduce government credibility, while smart policies and successful research can stabilize the city. Every choice ripples through the simulation, making holistic, adaptive thinking essential and immersing players in the genuine complexity of pandemic response.

The Game Trailer

Project: Covid Control Simulator

The Page Last updated: May 23, 2026

Shano Liang (she/her)

Email: sliang1 AT wpi DOT edu