Estimation of the effective reproduction number of COVID-19 in NCR using differentiable physics simulation and its association with meteorological factors

Authors

  • John Paul L. Santos ⋅ PH Department of Physical Sciences, Polytechnic University of the Philippines
  • Rhenish C. Simon ⋅ PH Physics Department, De La Salle University, Manila

Abstract

We approximate the infection rate β(t) and removal rate γ(t) of the time-dependent SIR model with a parameterized piece-wise linear function and use differentiable physics simulation to get an estimate of the effective reproduction number R(t). We then use principal component regression to determine the association between the effective reproduction number and meteorological factors.

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Published

2023-07-10

Issue

2023: Proceedings of the 41st Samahang Pisika ng Pilipinas Physics Conference

Section

Poster Session B (Complex Systems, Simulations, and Theoretical Physics)

License

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How to Cite

[1]
“Estimation of the effective reproduction number of COVID-19 in NCR using differentiable physics simulation and its association with meteorological factors”, Proc. SPP, vol. 41, no. 1, p. SPP-2023-PB-20, Jul. 2023, Accessed: Apr. 19, 2026. [Online]. Available: https://proceedings.spp-online.org/article/view/SPP-2023-PB-20