ArticleInfectious Disease Modelling2022
Stochastic modeling, analysis, and simulation of the COVID-19 pandemic with explicit behavioral changes in Bogotá: A case study.
Article in Infectious Disease Modelling, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Real-time spatiotemporal tracking of infectious outbreaks in confined environments with a host-pathogen agent-based system.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Predicting the evolutionary and epidemiological dynamics of SARS-CoV-2 in South Africa.Virulence · 2025Article
- Mathematical models to characterize the early phase of the COVID-19 pandemic in New Mexico, USA.Mathematical biosciences and engineering : MBE · 2025Article
- How Does Vaccine-Induced Immunity Compare to Infection-Acquired Immunity in the Dynamics of COVID-19?Pathogens (Basel, Switzerland) · 2025Article
- Article
- Development of a Cohort Analytics Tool for Monitoring Progression Patterns in Cardiovascular Diseases: Advanced Stochastic Modeling Approach.JMIR medical informatics · 2024Article
- A Big Data and FRAM-Based Model for Epidemic Risk Analysis of Infectious Diseases.Risk management and healthcare policy · 2024Article
- The Epidemiological and Economic Impact of COVID-19 in Kazakhstan: An Agent-Based Modeling.Healthcare (Basel, Switzerland) · 2023Article
- A Mechanistic Model for Long COVID Dynamics.Mathematics (Basel, Switzerland) · 2023Article
- Time delay of the appearance of a new strain can affect vaccination behavior and disease dynamics: An evolutionary explanation.Infectious Disease Modelling · 2023Article
- Interval type-2 Fuzzy control and stochastic modeling of COVID-19 spread based on vaccination and social distancing rates.Computer methods and programs in biomedicine · 2023Article
- Is It Possible to Predict COVID-19? Stochastic System Dynamic Model of Infection Spread in Kazakhstan.Healthcare (Basel, Switzerland) · 2023Article
- COVID-19 modeling based on real geographic and population data.Turkish journal of medical sciences · 2023Article
- An updated estimation approach for SEIR models with stochastic perturbations: Application to COVID-19 data in Bogotá.PloS one · 2023Article
- An LBS and agent-based simulator for Covid-19 research.Scientific reports · 2022Article
- Investigating the trade-off between self-quarantine and forced quarantine provisions to control an epidemic: An evolutionary approach.Applied mathematics and computation · 2022Article
- Analysis of multi-strain infection of vaccinated and recovered population through epidemic model: Application to COVID-19.PloS one · 2022Article
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Authors and funding
5 authors.
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Abstract
In this paper, a stochastic epidemiological model is presented as an extension of a compartmental SEIR model with random perturbations to analyze the dynamics of the COVID-19 pandemic in the city of Bogotá D.C., Colombia. This model incorporates the spread of COVID-19 impacted by social behaviors in the population and allows for projecting the number of infected, recovered, and deceased individuals considering the mitigation measures, namely confinement and partial relaxed restrictions. Also, the role of randomness using the concept of Brownian motion is emphasized to explain the behavior of the population. Computational experiments for the stochastic model with random perturbations were performed, and the model is validated through numerical simulations for actual data from Bogotá D.C.
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