Incorporating dynamic flight network in SEIR to model mobility between populations
Xiaoye Ding1,2, Shenyang Huang1,2, Abby Leung1,2
1School of Computer Science, McGill University, Montreal, Canada.
Applied Network Science
|June 21, 2021
Summary
This study introduces Flight-SEIR, a modified compartmental model that incorporates air travel data to track COVID-19 spread. This approach enhances early outbreak detection and improves the accuracy of epidemiological predictions.
Area of Science:
- Epidemiology
- Mathematical modeling
- Public health
Background:
- COVID-19 modeling commonly uses SEIR models.
- Pre-symptomatic and asymptomatic transmission via travel necessitates improved models.
- Existing models often overlook population mobility dynamics.
Purpose of the Study:
- To modify the SEIR model to include dynamic flight networks for infectious disease modeling.
- To estimate imported cases using air traffic volume and test positive rates.
- To enable early detection of outbreaks and evaluate travel restriction impacts.
Main Methods:
- Modification of the standard SEIR model.
- Integration of dynamic flight network data.
- Estimation of imported cases based on air traffic and positivity rates.
Main Results:
- The proposed Flight-SEIR model facilitates early detection of imported cases.
- It allows for more accurate estimation of the reproduction number.
- It aids in evaluating the effects of travel restrictions.
Conclusions:
- The Flight-SEIR model offers a more robust approach to infectious disease modeling in a globalized world.
- It is crucial for managing current and future pandemics.
- Incorporating travel dynamics improves outbreak prediction and control strategies.
Related Concept Videos
01:23Mechanistic Models: Compartment Models in Individual and Population Analysis
117
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
117
00:57Population Growth
26.3K
Population size is dynamic, increasing with birth rates and immigration, and decreasing with death rates and emigration. In ideal conditions with unlimited resources, populations can increase exponentially, which plots as a J-shaped growth rate curve of population size against time. This type of curve is characteristic of newly-introduced invasive species, or populations that have suffered catastrophic declines and are rebounding.
26.3K
02:39Gene Flow
36.4K
Gene flow is the transfer of genes among populations, resulting from either the dispersal of gametes or from the migration of individuals.
36.4K
01:14Multicompartment Models: Overview
324
Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...
324
01:26Distributions to Estimate Population Parameter
4.5K
The accurate values of population parameters such as population proportion, population mean, and population standard deviation (or variance) are usually unknown. These are fixed values that can only be estimated from the data collected from the samples. The estimates of each of these parameters are sample proportion, the sample mean, and sample standard deviation (or variance). To obtain the values of these sample statistics, data are required that have particular distribution and central...
4.5K
02:20Dynamic Equilibrium
58.3K
A reversible chemical reaction represents a chemical process that proceeds in both forward (left to right) and reverse (right to left) directions. When the rates of the forward and reverse reactions are equal, the concentrations of the reactant and product species remain constant over time and the system is at equilibrium. A special double arrow is used to emphasize the reversible nature of the reaction. The relative concentrations of reactants and products in equilibrium systems vary greatly;...
58.3K