ArticleScientific reports2022
Effects of human mobility and behavior on disease transmission in a COVID-19 mathematical model.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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Who cites it
10 citing papers in PubMed.
- A graph-theoretic framework for integrating mobility data into mathematical epidemic models.Infectious Disease Modelling · 2025Article
- Adaptive human behavior and delays in information availability autonomously modulate epidemic waves.PNAS nexus · 2025Article
- The role of host mobility in the transmission and spread of Echinococcus granulosus: A Chile-based mathematical modeling approach.PLoS neglected tropical diseases · 2025Article
- An Integrated Framework for Infectious Disease Control Using Mathematical Modeling and Deep Learning.IEEE open journal of engineering in medicine and biology · 2025Article
- Article
- On an Aggregated Estimate for Human Mobility Regularities through Movement Trends and Population Density.Entropy (Basel, Switzerland) · 2024Article
- Pharmaceutical and non-pharmaceutical interventions for controlling the COVID-19 pandemic.Royal Society open science · 2023Article
- Modeling the Impact of Agricultural Mitigation Measures on the Spread of Sharka Disease in Sweet Cherry Orchards.Plants (Basel, Switzerland) · 2023Article
- Article
- 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
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human interactions and perceptions about health risk are essential to understand the evolution over the course of a pandemic. We present a Susceptible-Exposed-Asymptomatic-Infectious-Recovered-Susceptible mathematical model with quarantine and social-distance-dependent transmission rates, to study COVID-19 dynamics. Human activities are split across different location settings: home, work, school, and elsewhere. Individuals move from home to the other locations at rates dependent on their epidemiological conditions and maintain a social distancing behavior, which varies with their location. We perform simulations and analyze how distinct social behaviors and restrictive measures affect the dynamic of the disease within a population. The model proposed in this study revealed that the main focus on the transmission of COVID-19 is attributed to the "home" location setting, which is understood as family gatherings including relatives and close friends. Limiting encounters at work, school and other locations will only be effective if COVID-19 restrictions occur simultaneously at all those locations and/or contact tracing or social distancing measures are effectively and strictly implemented, especially at the home setting.
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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.