Mathematical modeling of the spread of the coronavirus disease 2019 (COVID-19) taking into account the undetected infections. The case of China

By Benjamin Ivorra, Miriam R. Ferrández, María Vela-Pérez, Angel Manuel Ramos. Communications in nonlinear science & numerical simulation, 2020

546 citations recorded by the source corpus.

Highlights • Mathematical model for coronavirus disease that fits well the spread in China.• New θ-SEIHRD model taking into account undetected infections.• Validation of the model with the reported data on China.• Estimation of errors when identifying parameters at early stages of the pandemic.• Different scenarios to show the impact of undetected cases on the pandemic.

Subfields: Economics and Econometrics, Infectious Diseases, Modeling and Simulation

View Paper: https://www.semanticscholar.org/paper/dbda48112f2bc7f5bc15f1a0037d65ce86a5e87d

Citations in the corpus

• COVID-ABS: An agent-based model of COVID-19 epidemic to simulate health and economic effects of social distancing interventions (2020, unknown): “idemiological dynamics. Some works used the SIR model to characterize the COVID19 dynamics [9, 10, 11, 12]. However, more precise COVID-19 simulations usually used an approach based on the SEIR model [13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30]; given that this disease ha”
• Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model (2021, unknown): “[18] Ivorra B, Ferrández MR, Vela-Pérez M, Ramos AM.”