A stochastic model for the early stages of highly contagious epidemics by using a state-dependent point process-Reference-Cited by-同舟云学术

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A stochastic model for the early stages of highly contagious epidemics by using a state-dependent point process

Published:2024-09 Issue: Volume:136 Page:108100
ISSN:1007-5704
Container-title:Communications in Nonlinear Science and Numerical Simulation
language:en
Short-container-title:Communications in Nonlinear Science and Numerical Simulation

Author:

Chávez Casillas Jonathan A.^ORCID

Publisher

Elsevier BV

Reference28 articles.

1. Data-driven modeling for different stages of pandemic response;Adiga;J Indian Inst Sci,2020

2. The challenges of modeling and forecasting the spread of COVID-19;Bertozzi;Proc Natl Acad Sci,2020

3. Regional infectious risk prediction of COVID-19 based on geo-spatial data;Cheng;PeerJ,2020

4. Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates;Chiang;Int J Forecast,2022

5. Machine learning model for computational tracking and forecasting the COVID-19 dynamic propagation;dos Santos Gomes;IEEE J Biomed Health Inf,2021

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