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

364
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:
364
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
Infection01:20

Infection

10.2K
When a pathogen enters the body and reproduces, it can cause an infection, damage body cells, and cause illness symptoms that eventually lead to disease. Therefore, its prevention requires breaking the chain of infection.
The chain begins with pathogens: bacteria, viruses, fungi, prions, or parasites such as protozoa helminths. These can be present on the skin as transient or resident flora, or they can be acquired from the environment. Identifying and treating the type of infection and...
10.2K
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

17.4K
A single nucleotide polymorphism or SNP is a single nucleotide variation at a specific genomic position in a large population. It is the most prevalent type of sequence variation found in the human genome. Point mutations that occur in more than 1% of the population qualify as SNPs. These are present once every 1000 nucleotides on an average in the human genome. Replacement of a purine with another purine (A/G) or a pyrimidine with another pyrimidine (C/T) is known as a transition. In contrast,...
17.4K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

338
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...
338
Viral Mutations00:36

Viral Mutations

37.9K
A mutation is a change in the sequence of bases of DNA or RNA in a genome. Some mutations occur during replication of the genome due to errors made by the polymerase enzymes that replicate DNA or RNA. Unlike DNA polymerase, RNA polymerase is prone to errors because it is not capable of “proofreading” its work. Viruses with RNA-based genomes, like HIV, therefore accrue mutations faster than viruses with DNA-based genomes. Because mutation and recombination provide the raw material...
37.9K

You might also read

Related Articles

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

Sort by
Same author

Understanding uncertainty in large language model predictions of early death in critically ill patients: a conformal prediction approach.

JAMIA open·2026
Same author

Prescribing Trajectories in Type 2 Diabetes in the United States, 2019-2024.

Diabetes, obesity & metabolism·2026
Same author

Opportunities and Challenges in Using National EHR Networks for AI in Learning Health Systems.

Learning health systems·2026
Same author

Reliable Uncertainty Under Class Imbalance and Distribution Shift: Class-Conditional Conformal Prediction of Multiple Sclerosis.

medRxiv : the preprint server for health sciences·2026
Same author

Enhancing prediction of inpatient deterioration by combining clinical and nurse concern features, with or without temporal clustering.

JAMIA open·2026
Same author

Evaluating the indirect interaction between glucagon-like peptide-1 receptor agonists and warfarin using real-world data.

Journal of thrombosis and thrombolysis·2026
Same journal

SynTME: A tumor microenvironment-aware, pharmacology-inspired multi-stage framework for drug synergy prediction.

Computer methods and programs in biomedicine·2026
Same journal

MMFVS-Net: A triple-symmetric cross-attention network for multimodal optical image fusion and high-accuracy virtual staining of breast cancer tissues.

Computer methods and programs in biomedicine·2026
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
See all related articles

Related Experiment Video

Updated: Nov 25, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.9K

Human activity pattern implications for modeling SARS-CoV-2 transmission.

Yulan Wang1, Bernard Li1, Ramkiran Gouripeddi2

  • 1Department of Biomedical Informatics.

Computer Methods and Programs in Biomedicine
|December 16, 2020
PubMed
Summary
This summary is machine-generated.

Agent-based modeling using the SpatioTemporal Human Activity Model (STHAM) can predict SARS-CoV-2 infection rates. Human activity patterns are crucial for understanding transmission dynamics in different populations.

Keywords:
Agent-Based ModelingCOVID-19Epidemiological ModelingHuman Activity patternsSARS-CoV-2SpatioTemporal Human Activity ModelTransmission Dynamics

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: Nov 25, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.9K
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:

  • Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) caused a global pandemic starting in December 2019.
  • Effective community interventions (e.g., social distancing, vaccination) depend on disease progression, asymptomatic cases, pathogen virulence, and herd immunity.
  • Intervention strategies can have significant socioeconomic consequences, necessitating optimized approaches.

Purpose of the Study:

  • To develop and extend an agent-based model for simulating SARS-CoV-2 transmission dynamics.
  • To assess the impact of human activity patterns on infection rates within a population.

Main Methods:

  • Extension of the SpatioTemporal Human Activity Model (STHAM), an agent-based model.
  • Simulation of SARS-CoV-2 transmission dynamics using the extended STHAM.

Main Results:

  • Preliminary simulations using STHAM reproduced observed trends in the Wasatch Front, Utah.
  • Human activity patterns significantly influence infection rates across different demographic groups.

Conclusions:

  • Agent-based modeling is a valuable tool for pandemic simulation.
  • Incorporating empirical human activity data into agent-based models is essential for future pandemic simulations.