Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

271
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
271
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

650
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
650
Causality in Epidemiology01:21

Causality in Epidemiology

1.1K
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
1.1K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

282
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
282
Pareto Chart00:52

Pareto Chart

7.3K
A Pareto chart is a bar graph or a combination of both line and bar graphs. The bar lengths represent the individual values or the frequency, while the lines represent the cumulative total values. In this chart, the longest bars are arranged on the left and the shortest bars on the right, which makes it easier to read and interpret the data. It can also be called a Pareto diagram or Pareto analysis.
The Pareto chart is named after the Italian economist Vilfredo Pareto, who described the Pareto...
7.3K
Introduction to Epidemiology01:26

Introduction to Epidemiology

1.2K
Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
1.2K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same journal

MIMO Volterra kernel recovery in the frequency domain using neural networks.

Nonlinear dynamics·2026
Same journal

Numerical convergence of the scalar auxiliary variable method applied to nonlinear stiff string models.

Nonlinear dynamics·2026
Same journal

Hysteresis in cavitation emissions during a ramped-then-deramped amplitude sonication: A theoretical and experimental investigation.

Nonlinear dynamics·2026
Same journal

Fluid-structure dynamics of a vibro-impact capsule robot in multiphase intestinal environments.

Nonlinear dynamics·2026
Same journal

Computation of simple invariant solutions in fluid turbulence with the aid of deep learning.

Nonlinear dynamics·2025
Same journal

Swimming dynamics of screw-shaped untethered magnetic robots in confined spaces.

Nonlinear dynamics·2025

Related Experiment Video

Updated: Nov 2, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.3K

COVID-19 outbreak in India: an SEIR model-based analysis.

Debashis Saikia1, Kalpana Bora1, Madhurjya P Bora1

  • 1Department of Physics, Gauhati University, Guwahati, 781014 India.

Nonlinear Dynamics
|June 10, 2021
PubMed
Summary

This study models the COVID-19 pandemic in India using an advanced SEIR model, accurately predicting the first phase and identifying key socio-economic factors influencing transmission dynamics.

Keywords:
COVID-19EpidemiologySEIR model

More Related Videos

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.5K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

366

Related Experiment Videos

Last Updated: Nov 2, 2025

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples
09:26

Quantification and Whole Genome Characterization of SARS-CoV-2 RNA in Wastewater and Air Samples

Published on: June 30, 2023

1.3K
Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.5K
A Data-Driven Approach to Quantifying Immune States in Sepsis
07:42

A Data-Driven Approach to Quantifying Immune States in Sepsis

Published on: February 7, 2025

366

Area of Science:

  • Epidemiology
  • Mathematical Modeling
  • Public Health

Background:

  • The COVID-19 pandemic presented significant challenges in India, necessitating detailed analysis of its transmission patterns.
  • Understanding the socio-economic factors influencing disease spread is crucial for effective public health interventions.

Purpose of the Study:

  • To model and analyze the initial phase of the COVID-19 outbreak in India (March-August 2020).
  • To project the pandemic's trajectory and identify critical factors affecting transmission.
  • To provide insights for managing future pandemics in developing nations.

Main Methods:

  • Utilized a modified susceptible-exposed-infectives-removed (SEIR) model incorporating asymptomatic transmission, time-dependent incubation, and transmission rates.
  • Analyzed data from March to August 2020 for 11 major states, projecting 42 days forward.
  • Compared SEIR model projections with logistic equation models.

Main Results:

  • The SEIR model accurately predicted the first phase of the pandemic in India, including peak infection times and daily new cases.
  • Identified a 'critical day' indicating a significant shift in disease transmission patterns.
  • Demonstrated a correlation between pandemic behavior and demographic/socio-economic parameters.

Conclusions:

  • The developed SEIR model offers reliable predictions for the initial COVID-19 outbreak in India.
  • Socio-economic factors play a significant role in shaping pandemic dynamics.
  • The findings can guide future pandemic preparedness and response strategies in developing countries.