ArticleScientific reports2021
An SIR-type epidemiological model that integrates social distancing as a dynamic law based on point prevalence and socio-behavioral factors.
Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 35 citations in OpenAlex.
- Comparative evaluation of behavioral epidemic models using COVID-19 data.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A modelling approach to characterise the interaction between behavioral response and epidemics: A study based on COVID-19.Infectious Disease Modelling · 2025Article
- Duration of transients in outbreaks: when can infectiousness be estimated?Journal of mathematical biology · 2024Article
- Influence of waning immunity on vaccination decision-making: A multi-strain epidemic model with an evolutionary approach analyzing cost and efficacy.Infectious Disease Modelling · 2024Article
- Modeling the Impact of Agricultural Mitigation Measures on the Spread of Sharka Disease in Sweet Cherry Orchards.Plants (Basel, Switzerland) · 2023Article
- Using spectral characterization to identify healthcare-associated infection (HAI) patients for clinical contact precaution.Scientific reports · 2023Article
- Collateral Effects of Insecticide-Treated Nets on Human and Environmental Safety in an Epidemiological Model for Malaria with Human Risk Perception.International journal of environmental research and public health · 2022Article
- Infectious Disease Modeling with Socio-Viral Behavioral Aspects-Lessons Learned from the Spread of SARS-CoV-2 in a University.Tropical medicine and infectious disease · 2022Article
- Discrete Models in Epidemiology: New Contagion Probability Functions Based on Real Data Behavior.Bulletin of mathematical biology · 2022Article
- Mobility was a significant determinant of reported COVID-19 incidence during the Omicron Surge in the most populous U.S. Counties.BMC infectious diseases · 2022Article
- Risk Perception Influence on Vaccination Program on COVID-19 in Chile: A Mathematical Model.International journal of environmental research and public health · 2022Article
- Adding a reaction-restoration type transmission rate dynamic-law to the basic SEIR COVID-19 model.PloS one · 2022Article
- Modeling of the Long-Term Epidemic Dynamics of COVID-19 in the United States.International journal of environmental research and public health · 2021Article
- Response: Commentary: Statistical Modeling for the Prediction of Infectious Disease Dissemination With Special Reference to COVID-19 Spread.Frontiers in public health · 2021Article
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Authors and funding
4 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Modeling human behavior within mathematical models of infectious diseases is a key component to understand and control disease spread. We present a mathematical compartmental model of Susceptible-Infectious-Removed to compare the infected curves given by four different functional forms describing the transmission rate. These depend on the distance that individuals keep on average to others in their daily lives. We assume that this distance varies according to the balance between two opposite thrives: the self-protecting reaction of individuals upon the presence of disease to increase social distancing and their necessity to return to a culturally dependent natural social distance that occurs in the absence of disease. We present simulations to compare results for different society types on point prevalence, the peak size of a first epidemic outbreak and the time of occurrence of that peak, for four different transmission rate functional forms and parameters of interest related to distancing behavior, such as: the reaction velocity of a society to change social distance during an epidemic. We observe the vulnerability to disease spread of close contact societies, and also show that certain social distancing behavior may provoke a small peak of a first epidemic outbreak, but at the expense of it occurring early after the epidemic onset, observing differences in this regard between society types. We also discuss the appearance of temporal oscillations of the four different transmission rates, their differences, and how this oscillatory behavior is impacted through social distancing; breaking the unimodality of the actives-curve produced by the classical SIR-model.
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