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

Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

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...
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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:
Infection01:20

Infection

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...
Introduction to Epidemiology01:26

Introduction to Epidemiology

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,...
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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...
Infectious Diseases and Their Occurrence01:28

Infectious Diseases and Their Occurrence

Infectious diseases appear in populations through various transmission patterns, influenced by pathogen characteristics, population immunity, environmental conditions, and social behavior. Understanding these patterns is essential for effective public health surveillance and intervention. These categories—sporadic, outbreak, epidemic, pandemic, and endemic—help frame the nature and scope of disease events.Sporadic diseases occur irregularly and infrequently, without a predictable temporal or...

You might also read

Related Articles

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

Sort by
Same author

Diverse genetic lineages spreading across healthcare and community boundaries underlie extended-spectrum cephalosporin-resistant Enterobacterales (ESCrE) colonization burden in Botswana.

The Journal of infectious diseases·2026
Same author

Integrated epidemiologic investigation and genomic confirmation of a Klebsiella pneumoniae neonatal sepsis outbreak in Botswana.

PLOS global public health·2026
Same author

Changes in bloodstream infections in heart transplant recipients following the allocation guidelines change.

American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons·2026
Same author

Developing and implementing a family-led infection prevention bundle for hospitalized neonates.

Antimicrobial resistance and infection control·2026
Same author

Knowledge, attitudes, and practices associated with antimicrobial use and antimicrobial resistance among livestock farmers in Botswana.

Preventive veterinary medicine·2026
Same author

Risk Factors for Community Colonization With Extended-Spectrum Cephalosporin-Resistant Enterobacterales Among People Living With HIV in Botswana.

Open forum infectious diseases·2026

Related Experiment Video

Updated: Jun 4, 2026

Isolation of Single Intracellular Bacterial Communities Generated from a Murine Model of Urinary Tract Infection for Downstream Single-cell Analysis
07:34

Isolation of Single Intracellular Bacterial Communities Generated from a Murine Model of Urinary Tract Infection for Downstream Single-cell Analysis

Published on: April 16, 2019

Informatics and epidemiology in infection control.

Keith F Woeltje1, Ebbing Lautenbach

  • 1Center for Clinical Excellence, BJC HealthCare and Washington University School of Medicine, 660 South Euclid Avenue, Campus Box 8051, St Louis, MO 63110, USA. KWoeltje@DOM.wustl.edu

Infectious Disease Clinics of North America
|February 15, 2011
PubMed
Summary

Electronic health data offers new ways to track healthcare-associated infections. Combining electronic surveillance with traditional methods and understanding epidemiologic principles ensures accurate infection monitoring.

More Related Videos

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions
08:33

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions

Published on: August 5, 2020

Related Experiment Videos

Last Updated: Jun 4, 2026

Isolation of Single Intracellular Bacterial Communities Generated from a Murine Model of Urinary Tract Infection for Downstream Single-cell Analysis
07:34

Isolation of Single Intracellular Bacterial Communities Generated from a Murine Model of Urinary Tract Infection for Downstream Single-cell Analysis

Published on: April 16, 2019

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions
08:33

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions

Published on: August 5, 2020

Area of Science:

  • Epidemiology
  • Health Informatics
  • Infectious Disease Surveillance

Background:

  • Electronic health records are increasingly available, presenting opportunities for infection surveillance.
  • Effective use requires understanding data sources, integrity issues, and comparing electronic vs. manual methods.

Purpose of the Study:

  • To explore the potential of electronic data for healthcare-associated infection surveillance.
  • To highlight the importance of data integrity and epidemiologic principles in surveillance.

Main Methods:

  • Review of electronic data sources for infection surveillance.
  • Analysis of data integrity challenges.
  • Comparison of electronic surveillance with traditional manual methods.

Main Results:

  • Electronic data offers novel surveillance possibilities but requires careful management.
  • Data integrity issues can impact surveillance accuracy.
  • A combined approach using both electronic and manual surveillance may yield optimal results.

Conclusions:

  • Healthcare epidemiologists must understand electronic data nuances for effective surveillance.
  • A hybrid surveillance model integrating electronic and manual data is recommended.
  • Accurate interpretation of surveillance data relies on a solid grasp of epidemiologic principles like incidence and prevalence.