COVID-19  transmission

The COVID‑19 pandemic reshaped life across the globe, and the Philippines was no exception. While governments worldwide grappled with strategies to contain the virus, scientists sought to understand not just that the disease was spreading—but how it was spreading and how policies could change its course. In the paper “Analyzing the dynamics of COVID‑19 transmission in select regions of the Philippines: A modeling approach to assess the impact of various tiers of community quarantines,” researchers use mathematical modeling to uncover the nuanced patterns of COVID‑19 transmission in three distinct Philippine regions: the National Capital Region (NCR), Davao City, and Baguio City. 

In this scientific study, the authors applied a flexible SEIR (Susceptible ‑ Exposed ‑ Infectious ‑ Recovered) compartmental model to simulate how the virus moved through populations under different levels of community quarantines—ranging from strict lockdown conditions to more relaxed protocols. By fitting the model to real case data, the study was able to estimate critical epidemiological parameters and reveal how variations in intervention levels influenced local outbreaks. The research emphasizes the importance of region-specific strategies and demonstrates that tailored interventions can significantly affect the course of local COVID‑19 outbreaks. 

In this blog, we will take the SEIR framework a step further by presenting an agent-based model (ABM) that we developed, where individual people act as agents in a closed environment.

Feel free to browse the website and access the model analysis, simulation, conclusion, or learn more about us.