ArticleScientific reports2011
Modeling human mobility responses to the large-scale spreading of infectious diseases.
Article in Scientific reports, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 129 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
129 citing papers in PubMed, 3 syntheses or guidelines pooled it, 349 citations in OpenAlex.
- The use and reporting of airline passenger data for infectious disease modelling: a systematic review.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2019Pooled it
- Behavioural change models for infectious disease transmission: a systematic review (2010-2015).Journal of the Royal Society, Interface · 2016Pooled it
- A systematic review to identify areas of enhancements of pandemic simulation models for operational use at provincial and local levels.BMC public health · 2012Pooled it
- Memory mechanisms for behavioural change in Bayesian individual-level spatial epidemic models.Infectious Disease Modelling · 2026Article
- Characterizing population-level changes in human behavior during the COVID-19 pandemic in the United States.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Impact of Government Healthcare Policy Changes on Consumption and Human Movements During COVID-19: An Interrupted Time Series Analysis in Korea.Journal of Korean medical science · 2025Article
- Multi-region infectious disease prediction modeling based on spatio-temporal graph neural network and the dynamic model.PLoS computational biology · 2025Article
- An epidemiological extension of the El Farol Bar problem.Frontiers in big data · 2025Article
- Model-inferred timing and infectious period of the chickenpox outbreak source.BMC infectious diseases · 2024Article
- Online bilateral matching methodology for anti-epidemic resources based on spatial transmission risk.Scientific reports · 2024Article
- Emerging Cases of Cat-Transmitted Sporotrichosis Driven by Sporothrix brasiliensis in Northeast Brazil.Mycopathologia · 2024Article
- Population genomics of diarrheagenic Escherichia coli uncovers high connectivity between urban and rural communities in Ecuador.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 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
- Forecasting COVID-19 spreading through an ensemble of classical and machine learning models: Spain's case study.Scientific reports · 2023Article
- Assessing the effectiveness of perimeter lockdowns as a response to epidemics at the urban scale.Scientific reports · 2023Article
- Financial constraint and perceptions of COVID-19.Scientific reports · 2023Article
- Mobility decisions, economic dynamics and epidemic.Economic theory · 2023Article
- The unintended consequences of inconsistent closure policies and mobility restrictions during epidemics.BMC global and public health · 2023Article
- Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics.Chaos, solitons, and fractals · 2022Article
- Modelling epidemic spread in cities using public transportation as a proxy for generalized mobility trends.Scientific reports · 2022Article
69 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 5 institutions in 3 countries.
Funding
Abstract
Current modeling of infectious diseases allows for the study of realistic scenarios that include population heterogeneity, social structures, and mobility processes down to the individual level. The advances in the realism of epidemic description call for the explicit modeling of individual behavioral responses to the presence of disease within modeling frameworks. Here we formulate and analyze a metapopulation model that incorporates several scenarios of self-initiated behavioral changes into the mobility patterns of individuals. We find that prevalence-based travel limitations do not alter the epidemic invasion threshold. Strikingly, we observe in both synthetic and data-driven numerical simulations that when travelers decide to avoid locations with high levels of prevalence, this self-initiated behavioral change may enhance disease spreading. Our results point out that the real-time availability of information on the disease and the ensuing behavioral changes in the population may produce a negative impact on disease containment and mitigation.
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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.