Additional references

In addition to the tutorials listed on the documentation website, we’ve used pySODM in the followed published works,

  • Alleman T.W., Rollier M., Baetens J.M. (2021). Effect of non-pharmaceutical interventions on the number of new hospitalizations during the fall 2021 Belgian COVID-19 wave (v1.1). ResearchGate. https://doi.org/10.13140/RG.2.2.15831.80802/1

  • Alleman T.W., Vergeynst J., De Visscher L., Rollier M., Torfs E., Nopens I., Baetens J.M. (2021). Assessing the effects of non-pharmaceutical interventions on SARS-CoV-2 transmission in Belgium by means of an extended SEIQRD model and public mobility data. Epidemics, 37(9). https://doi.org/10.1016/j.epidem.2021.100505

  • Alleman T.W., Rollier M., Vergeynst J., Baetens J.M. (2023). A Mobility-Driven Spatially Explicit SEIQRD COVID-19 Model with VOCs, vaccines and seasonality. Applied Mathematical Modeling, 123, 507:525. https://doi.org/10.1016/j.apm.2023.06.027

  • Alleman T.W., Schoors K., Baetens J.M. (2023). Validating a dynamic input-output model for the propagation of supply and demand shocks during the COVID-19 pandemic in Belgium. arXiv. https://arxiv.org/abs/2305.16377

  • Alleman T.W., Baetens J.M. (2024). Assessing the impact of forced and voluntary behavioral changes on economic-epidemiological co-dynamics: A comparative case study between Belgium and Sweden during the 2020 COVID-19 pandemic. arXiv. https://arxiv.org/abs/2401.08442