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

388
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:
388
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

361
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...
361
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

761
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:
761
Causality in Epidemiology01:21

Causality in Epidemiology

1.3K
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...
1.3K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

1.2K
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
1.2K
Modeling and Similitude01:12

Modeling and Similitude

483
Scaled modeling is a fundamental technique in engineering, enabling the study of large and complex systems by creating smaller, manageable replicas that recreate critical characteristics of the original. In hydrology and civil infrastructure, for example, scaled models of dams help analyze water flow, turbulence, and pressure. This method allows for accurate predictions of real-world behavior within a controlled environment, significantly reducing the cost and time involved in full-scale...
483

You might also read

Related Articles

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

Sort by
Same author

LITO: Lemur-Inspired Task Offloading for Edge-Fog-Cloud Continuum Systems.

Sensors (Basel, Switzerland)·2026
Same author

Contrasting effects of maize litter and litter-derived biochar on the temperature sensitivity of paddy soil organic matter decomposition.

Frontiers in microbiology·2022
Same author

Incremental Ant-Miner Classifier for Online Big Data Analytics.

Sensors (Basel, Switzerland)·2022
Same author

AntTrust: An Ant-Inspired Trust Management System for Peer-to-Peer Networks.

Sensors (Basel, Switzerland)·2022
Same author

Neonatal Jaundice Diagnosis Using a Smartphone Camera Based on Eye, Skin, and Fused Features with Transfer Learning.

Sensors (Basel, Switzerland)·2021
Same author

Empirical Evaluation of Alternative Time-Series Models for COVID-19 Forecasting in Saudi Arabia.

International journal of environmental research and public health·2021
Same journal

Correction: Grewal et al. Diversity and Representation in Cardiovascular Research: Evidence Gaps, Emerging Models, and Policy Implications. <i>Int. J. Environ. Res. Public Health</i> 2026, <i>23</i>, 241.

International journal of environmental research and public health·2026
Same journal

Drinking Water Quality and Health Risk Assessment in Rural Ghana: Evidence from North-East and North Gonja Districts in the Savannah Region.

International journal of environmental research and public health·2026
Same journal

Physical Activity of University Students During COVID-19 Restrictions: Evidence from Poland.

International journal of environmental research and public health·2026
Same journal

Assessment of Occupational Health and Safety Hazards in Mosquito Control Personnel in North Carolina and Virginia, USA.

International journal of environmental research and public health·2026
Same journal

Association Between Dysfunctional Parenting Practices and Suspected Gaming Disorder Among Japanese Male Junior High School Students: A Cross-Sectional Study of Parental Assessment.

International journal of environmental research and public health·2026
Same journal

A National Virtual Peer Support Group for Women Veterans Living with Breast Cancer: Lessons from the Field.

International journal of environmental research and public health·2026
See all related articles

Related Experiment Video

Updated: Dec 3, 2025

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

1.6K

COVID-19 Spread in Saudi Arabia: Modeling, Simulation and Analysis.

Hend Alrasheed1, Alhanoof Althnian1, Heba Kurdi2,3

  • 1Department of Information Technology, College of Computer and Information Sciences, King Saud University, Riyadh 11451, Saudi Arabia.

International Journal of Environmental Research and Public Health
|October 29, 2020
PubMed
Summary
This summary is machine-generated.

A network-based model simulated COVID-19 in Saudi Arabia. Strict control measures, like social distancing and school closures, significantly delayed the outbreak peak and reduced infections.

Keywords:
COVID-19contact networknetwork-based epidemic modelnode susceptibilitysimulation model

More Related Videos

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

1.4K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.5K

Related Experiment Videos

Last Updated: Dec 3, 2025

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

1.6K
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

1.4K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.5K

Area of Science:

  • Epidemiology
  • Computational modeling
  • Public health

Background:

  • The COVID-19 pandemic, caused by SARS-CoV-2, has impacted over 200 countries globally.
  • Mathematical epidemic models are crucial for predicting disease spread and informing control strategies.
  • Network-based epidemic modeling, considering social contact, is increasingly utilized.

Purpose of the Study:

  • To propose and utilize a network-based epidemic model for simulating COVID-19 spread in Saudi Arabia.
  • To evaluate the effectiveness of control measures implemented by the Saudi government.
  • To predict future disease dynamics under various scenarios and assess vaccination strategies.

Main Methods:

  • Development of a contact network model reflecting realistic social behaviors in Saudi Arabia.
  • Simulation of COVID-19 transmission dynamics using the network model.
  • Analysis of different intervention strategies, including social distancing, school/mosque closures, and vaccination.

Main Results:

  • Without control measures, Saudi Arabia's COVID-19 outbreak peak was projected for April 21, 2020, with ~26 million infections.
  • Social distancing was identified as a critical factor in managing epidemic dynamics.
  • Closure of schools and mosques demonstrated the most significant impact on delaying the peak and reducing infection rates.

Conclusions:

  • Implemented control measures were vital in mitigating the COVID-19 outbreak in Saudi Arabia.
  • Social distancing and targeted closures of public spaces are effective strategies for epidemic control.
  • Vaccination, if widely adopted (70% coverage), could rapidly conclude the epidemic.