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

Principles of Disease Surveillance01:26

Principles of Disease Surveillance

387
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...
387
International Nursing Organizations II01:28

International Nursing Organizations II

1.2K
The World Health Organization (WHO) is a specialized agency of the United Nations based in Geneva. The WHO has many initiatives that center around health. Primarily, they lead global efforts to expand universal health coverage using science-based policies and programs. They are also responsible for shaping health research agendas and developing norms and standards.
The WHO provides expert team support, including funding, vaccines, testing, and treatment tools at the country level to fight...
1.2K
Infection01:20

Infection

11.4K
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...
11.4K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

3.5K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
3.5K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

411
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:
411
Transmission-based Precautions I: Contact, Enteric, and Droplets01:17

Transmission-based Precautions I: Contact, Enteric, and Droplets

4.4K
Transmission-based precautions are for patients known to be infected or suspected to be infected or colonized with organisms that pose a significant risk to others. Some transmission-based precautions include contact, enteric, and droplet.
Contact Precautions:
Contact precautions are the measures taken to prevent the transmission of infectious agents, especially epidemiologically important microorganisms such as MRSA or influenza, primarily transmitted through direct or indirect contact with an...
4.4K

You might also read

Related Articles

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

Sort by
Same author

Neighbourhood environments, structural inequities, and colorectal cancer risk and mortality: analysis from the Southern Community Cohort Study.

BMJ open·2026
Same author

A retrospective analysis of COVID-19 clusters in the Québec population from 2020 to 2022.

Spatial and spatio-temporal epidemiology·2026
Same author

Towards a feature-based regulatory benchmark for user-centred SaMD design in cancer care.

BMJ health & care informatics·2026
Same author

Enhancing segmentation fairness through curriculum learning and progressive loss: a centralized and federated perspective on radiograph analysis.

Frontiers in artificial intelligence·2026
Same author

User-Centered Design for Digital Patient-Navigation Tools in Oncology: Scoping Review.

JMIR human factors·2026
Same author

Reducing tick density along recreational trails in Ottawa, Canada: results from an ecotone modification study using deltamethrin-treated and untreated woodchips.

Ticks and tick-borne diseases·2026

Related Experiment Video

Updated: Dec 16, 2025

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.4K

Semantic Web of Things (SWoT) for Global Infectious Disease Control and Prevention.

Arash Shaban-Nejad1, Jon Haël Brenas2, Mohammad Sadnan Al Manir3

  • 1University of Tennessee Health Science Center-Oak Ridge National Laboratory (UTHSC-ORNL) Center for Biomedical Informatics, Department of Pediatrics, College of Medicine, Memphis TN, USA.

Studies in Health Technology and Informatics
|July 2, 2020
PubMed
Summary

This study introduces a new framework for integrating malaria surveillance data. It uses the Semantic Web of Things to improve data sharing and decision-making for malaria eradication efforts.

Keywords:
Global HealthInternet of ThingsInteroperabilitySemantic WebSurveillance

More Related Videos

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.1K

Related Experiment Videos

Last Updated: Dec 16, 2025

Remote Laboratory Management: Respiratory Virus Diagnostics
14:56

Remote Laboratory Management: Respiratory Virus Diagnostics

Published on: April 6, 2019

33.4K
A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.0K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.1K

Area of Science:

  • Health Informatics
  • Computer Science
  • Epidemiology

Background:

  • Malaria eradication requires effective decision-making informed by dynamic surveillance data.
  • Integrating diverse data sources across multiple scales presents significant challenges.

Purpose of the Study:

  • To develop an analytics framework for the semantic integration of dynamic malaria surveillance data.
  • To enhance decision-making processes for malaria eradication initiatives.

Main Methods:

  • Proposing the Semantic Web of Things (SWoT) approach.
  • Combining Internet of Things (IoT) and semantic web technologies.
  • Facilitating the evolution and integration of dynamic malaria data.

Main Results:

  • Early-stage development of an analytics framework.
  • Improved interoperability between different datasets.
  • Support for semantic integration of dynamic surveillance data.

Conclusions:

  • The SWoT framework shows promise for integrating dynamic malaria data.
  • This approach can enhance decision-making for malaria eradication.
  • Further development is needed to fully realize the framework's potential.