ArticleInternational journal of health geographics2009
An agent-based approach for modeling dynamics of contagious disease spread.
Article in International journal of health geographics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 3 of them syntheses that pooled it.
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Who cites it
78 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Lessons from a decade of individual-based models for infectious disease transmission: a systematic review (2006-2015).BMC infectious diseases · 2017Pooled it
- Agent-based modeling of noncommunicable diseases: a systematic review.American journal of public health · 2015Pooled it
- Disease prediction models and operational readiness.PloS one · 2014Pooled it
- Assessing the Impact of Rotavirus Vaccination in Iranian Children Under Five: An Agent-Based Modelling Approach.Health science reports · 2026Article
- Whispers of Pathogens; Social Contagion in Infectious Disease Dynamics: A Review.Health science reports · 2026Article
- 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
- Back-projection improves inference from sparsely sampled genomic surveillance data.bioRxiv : the preprint server for biology · 2025Article
- Mathematical Contact Tracing Models for the COVID-19 Pandemic: A Systematic Review of the Literature.Healthcare (Basel, Switzerland) · 2025Review
- Incorporating Additional Evidence as Prior Information to Resolve Non-Identifiability in Bayesian Disease Model Calibration: A Tutorial.Statistics in medicine · 2025Article
- Study on the impact of COVID-19 epidemic and agent disease risk simulation model based on individual factors in Xi'an City.Frontiers in cellular and infection microbiology · 2025Article
- Estimating the time-varying effective reproduction number via Cycle Threshold-based Transformer.PLoS computational biology · 2024Article
- The Future Exploring of Gut Microbiome-Immunity Interactions: From In Vivo/Vitro Models to In Silico Innovations.Microorganisms · 2024Review
- Comparing Contact Tracing Through Bluetooth and GPS Surveillance Data: Simulation-Driven Approach.Journal of medical Internet research · 2024Article
- Generating synthetic population for simulating the spatiotemporal dynamics of epidemics.PLoS computational biology · 2024Article
- COVID-19 outbreaks in residential aged care facilities: an agent-based modeling study.Frontiers in public health · 2024Article
- Evaluating the impact of test-trace-isolate for COVID-19 management and alternative strategies.PLoS computational biology · 2023Article
- Inference on a Multi-Patch Epidemic Model with Partial Mobility, Residency, and Demography: Case of the 2020 COVID-19 Outbreak in Hermosillo, Mexico.Entropy (Basel, Switzerland) · 2023Article
- Article
- Agent-Based Simulation for Infectious Disease Modelling over a Period of Multiple Days, with Application to an Airport Scenario.International journal of environmental research and public health · 2022Article
- Extended compartmental model for modeling COVID-19 epidemic in Slovenia.Scientific reports · 2022Article
18 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe propagation of communicable diseases through a population is an inherent spatial and temporal process of great importance for modern society. For this reason a spatially explicit epidemiologic model of infectious disease is proposed for a greater understanding of the disease's spatial diffusion through a network of human contacts.
objectiveThe objective of this study is to develop an agent-based modelling approach the integrates geographic information systems (GIS) to simulate the spread of a communicable disease in an urban environment, as a result of individuals' interactions in a geospatial context.
methodsThe methodology for simulating spatiotemporal dynamics of communicable disease propagation is presented and the model is implemented using measles outbreak in an urban environment as a case study. Individuals in a closed population are explicitly represented by agents associated to places where they interact with other agents. They are endowed with mobility, through a transportation network allowing them to move between places within the urban environment, in order to represent the spatial heterogeneity and the complexity involved in infectious diseases diffusion. The model is implemented on georeferenced land use dataset from Metro Vancouver and makes use of census data sets from Statistics Canada for the municipality of Burnaby, BC, Canada study site.
resultsThe results provide insights into the application of the model to calculate ratios of susceptible/infected in specific time frames and urban environments, due to its ability to depict the disease progression based on individuals' interactions. It is demonstrated that the dynamic spatial interactions within the population lead to high numbers of exposed individuals who perform stationary activities in areas after they have finished commuting. As a result, the sick individuals are concentrated in geographical locations like schools and universities.
conclusionThe GIS-agent based model designed for this study can be easily customized to study the disease spread dynamics of any other communicable disease by simply adjusting the modeled disease timeline and/or the infection model and modifying the transmission process. This type of simulations can help to improve comprehension of disease spread dynamics and to take better steps towards the prevention and control of an epidemic outbreak.
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Registered trials
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.