Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil

  title={Social interaction layers in complex networks for the dynamical epidemic modeling of COVID-19 in Brazil},
  author={Leonardo F. S. Scabini and Lucas Correia Ribas and Mariane Barros Neiva and Altamir Gomes Bispo Junior and Alex J. F. Farf'an and Odemir Martinez Bruno},
  journal={Physica a},
  pages={125498 - 125498}

Figures and Tables from this paper

A multiagent coronavirus model with territorial vulnerability parameters

A simple and user-friendly simulator that describes the transmission dynamics of coronavirus for a given location considering three setting parameters: population density, social-isolation rate, and effective transmission probability, and elucidates the phenomenon of the epidemic slowing despite a reduction in social-distancing policies.

Quantifying the effects of quarantine using an IBM SEIR model on scalefree networks

Monte Carlo approach to model COVID-19 deaths and infections using Gompertz functions

The method represents an effective framework to estimate the line-shape of the infection curves and the uncertainties of the relevant parameters based on the actual data and is in reasonable agreement with some preliminary reports from serological studies carried out in USA and Brazil.

Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modeling study of the City of Natal.

A full-sized agent-based epidemiological model is constructed adjusted to the singularities of particular cities to evaluate the impact of nonpharmaceutical governmental interventions applied by different cities in the evolution and epidemic spread of SARS-CoV-2 and shows that restrictive mobility acts saved many lives.

Machine learning based regional epidemic transmission risks precaution in digital society

The mobile phone signaling is used to track the users’ trajectories and contact network is constructed to describe the topology of daily contact between individuals dynamically, which can be taken as one of the epidemic precautions before the large-scale outbreak with high efficiency and low cost.

A Network Classification Method based on Density Time Evolution Patterns Extracted from Network Automata

This paper proposes alternate sources of information to use as descriptor for the network classification task, which are denominated as density time-evolution pattern (D-TEP) and state densityTime-evolved pattern (SD-T EP).

Epidemiological Context and Risk Factors Associated with the Evolution of the Coronavirus Disease (COVID-19): A Retrospective Cohort Study

The study identifies an important relationship between the sanitary status of patients, hospitalization, over-age categories, and the case severity of the COVID-19 patient and outlines various risk factors related to its evolution in the province of Debila (Southeastern Algeria).

A model of COVID-19 pandemic with vaccines and mutant viruses

A compartment model (SVEIHRM model) based on a system of ordinary differential equations to simulate the pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is proposed and shows that starting vaccinations early is the key to reduce the number of infected individuals.

An implementation of a multilayer network model for the Covid-19 pandemic: A Costa Rica study

We present a numerical implementation for a multilayer network to model the transmission of Covid-19 or other diseases with a similar transmission mechanism. The model incorporates different contact



Epidemic spreading with awareness and different timescales in multiplex networks

A mathematical model for the spread of diseases with awareness in complex networks following a generalized Maki-Thompson rumor model is proposed and it is verified that the velocity characterizing the diffusion of information awareness greatly influences the disease prevalence.

Modeling and forecasting the Covid-19 pandemic in Brazil

Long terms forecasts show that the confinement policy imposed by the government is able to flatten the pattern of infection of the COVID-19 and the optimal date to end the policy is found and if this policy does not last enough time, it is only able to shift the peak of infection into the future keeping the value of the peak in almost the same value.

Data analysis and modeling of the evolution of COVID-19 in Brazil

A Susceptible-Infectious-Quarantined-Recovered (SIQR) model is applied to the analysis of data from the Brazilian Department of Health to better understand the evolution of COVID-19 in Brazil.

Complex Social Networks

  • F. Vega-Redondo
  • Economics
    Encyclopedia of Social Network Analysis and Mining
  • 2014
This 2007 book provides a systematic and self-contained account of the fast-developing theory of complex social networks, which keeps complexity at the core, whilst integrating it with the incentive considerations that are preeminent in traditional economic analysis.

Modeling the early evolution of the COVID-19 in Brazil: Results from a Susceptible–Infectious–Quarantined–Recovered (SIQR) model

  • N. Crokidakis
  • Medicine
    International Journal of Modern Physics C
  • 2020
A Susceptible-Infectious-Quarantined-Recovered (SIQR) model is applied to the analysis of data from the Brazilian Department of Health, obtained from February 26, 2020 through March 25, 2020, and it is estimated that the basic reproduction number is estimated to R_{0}=5.25, in agreement with previous studies.

Model studies on the COVID-19 pandemic in Sweden

Analysis of the increases of infections and deaths in Sweden caused by COVID-19 with several different models shows that the next few days can be critical for determining the future evolution of the death cases.

Epidemics and percolation in small-world networks.

  • C. MooreM. Newman
  • Mathematics
    Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics
  • 2000
The resulting models display epidemic behavior when the infection or transmission probability rises above the threshold for site or bond percolation on the network, and are given exact solutions for the position of this threshold in a variety of cases.

The Incubation Period of Coronavirus Disease 2019 (COVID-19) The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and From Publicly Reported Confirmed Cases: Estimation and Application Application

    The Mathematical Theory of Infectious Diseases and its Applications

    The Mathematical Theory of Infectious Diseases and its applications and its Applications, 2nd edition by Norman T. Bailey.