ArticleComputers in biology and medicine2020
An agent-based model to evaluate the COVID-19 transmission risks in facilities.
Article in Computers in biology and medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 3 of them syntheses that pooled it.
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Who cites it
90 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Spatio-Temporal COVID-19 Modeling: A Global Systematic Review of Data Integration, Equity, and Lessons for Pandemic Preparedness.International journal of environmental research and public health · 2026Pooled it
- A systematic review of spatial epidemiological modeling approaches applied during the COVID-19 pandemic.BMC public health · 2026Pooled it
- Agent-based modelling of Mycobacterium tuberculosis transmission: a systematic review.BMC infectious diseases · 2024Pooled it
- MEmilio: a high performance Modular EpideMIcs simuLatIOn software for multi-scale and comparative simulations of infectious disease dynamics.Scientific reports · 2026Article
- Infection risk assessment for socially structured population using stochastic microexposure model.Journal of exposure science & environmental epidemiology · 2026Article
- Agent-based model for simulating microbial movement with a preferred target for agricultural biologicals.PeerJ · 2026Article
- Social, mobility and contact networks in shaping health behaviours and infectious disease dynamics: a scoping review.Infectious diseases of poverty · 2025Article
- A Systematic Review of Spatial Epidemiological Modeling Approaches Applied During the COVID-19 Pandemic.medRxiv : the preprint server for health sciences · 2025Article
- The Role of Mathematical Modelling in Predicting and Controlling Infectious Disease Outbreaks in Underserved Settings: A Systematic Review and Meta-Analysis.Public health challenges · 2025Review
- An agent-based model of COVID- 19 in the food industry for assessing public health and economic impacts of infection control strategies.Scientific reports · 2025Article
- Kalman Filter-Based Epidemiological Model for Post-COVID-19 Era Surveillance and Prediction.Sensors (Basel, Switzerland) · 2025Article
- Application of a composite, multi-scale COVID-19 mitigation framework: US border use-case.Health systems (Basingstoke, England) · 2025Article
- System identifiability in a time-evolving agent-based model.PloS one · 2024Article
- Susceptible-Infected-Susceptible type COVID-19 spread with collective effects.Scientific reports · 2023Article
- An agent-based model with antibody dynamics information in COVID-19 epidemic simulation.Infectious Disease Modelling · 2023Article
- Investigation of airborne spread of COVID-19 using a hybrid agent-based model: a case study of the UK.Royal Society open science · 2023Article
- Towards associating negative experiences and recommendations reported by Hajj pilgrims in a mass-scale survey.Heliyon · 2023Article
- A stochastic agent-based model to evaluate COVID-19 transmission influenced by human mobility.Nonlinear dynamics · 2023Article
- An agent-based approach for modelling and simulation of glycoprotein VI receptor diffusion, localisation and dimerisation in platelet lipid rafts.Scientific reports · 2023Article
- Validation framework for epidemiological models with application to COVID-19 models.PLoS computational biology · 2023Article
30 more citing papers are in PubMed but not listed here.
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Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The rapid spread of the coronavirus disease (COVID-19) has become a global threat affecting almost all countries in the world. As countries reach the infection peak, it is planned to return to a new normal under different coexistence conditions in order to reduce the economic effects produced by the total or partial closure of companies, universities, shops, etc. Under such circumstances, the use of mathematical models to evaluate the transmission risk of COVID-19 in various facilities represents an important tool in assisting authorities to make informed decisions. On the other hand, agent-based modeling is a relatively new approach to model complex systems composed of agents whose behavior is described using simple rules. Different from classical mathematical models (which consider a homogenous population), agent-based approaches model individuals with distinct characteristics and provide more realistic results. In this paper, an agent-based model to evaluate the COVID-19 transmission risks in facilities is presented. The proposed scheme has been designed to simulate the spatiotemporal transmission process. In the model, simulated agents make decisions depending on the programmed rules. Such rules correspond to spatial patterns and infection conditions under which agents interact to characterize the transmission process. The model also includes an individual profile for each agent, which defines its main social characteristics and health conditions used during its interactions. In general, this profile partially determines the behavior of the agent during its interactions with other individuals. Several hypothetical scenarios have been considered to show the performance of the proposed model. Experimental results have demonstrated that the simulations provide useful information to produce strategies for reducing the transmission risks of COVID-19 within the facilities.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.