Table 1 Optimized model parameters.

From: A novel approach to forecasting reproduction numbers of spatiotemporal stochastic epidemic spread using a PDE-based model and real-time infection data

Parameters

Timeframe-1

Timeframe-2

Timeframe-3

\(\lambda\)

0.072

0.068

0.084

\(\eta _{S}\)

\(4.8818 \times 10^{-5}\)

\(6.7088 \times 10^{-4}\)

\(6.1000 \times 10^{-5}\)

\(\eta _{R}\)

\(2.8900 \times 10^{-5}\)

\(5.3970 \times 10^{-8}\)

\(6.8410 \times 10^{-5}\)

\(\eta _{I}\)

\(1.8013 \times 10^{-5}\)

0.0062

\(2.2501 \times 10^{-5}\)

\(\eta _{L}\)

\(3.1601 \times 10^{-5}\)

0.0816

\(2.9251 \times 10^{-5}\)

\(\theta\)

\(3.0700 \times 10^{-5}\)

\(2.8200 \times 10^{-5}\)

\(2.8030 \times 10^{-5}\)

\(\phi\)

\(4.0284 \times 10^{-4}\)

\(4.6908 \times 10^{-4}\)

\(3.2884 \times 10^{-4}\)

\(\delta\)

0.0280

\(1.0002 \times 10^{-5}\)

0.0280

\(\omega\)

0.0283

0.0517

0.0490

\(\epsilon\)

0.1353

0.1631

0.1500

\(\alpha\)

0.8019

0.0029

0.6315