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

Patterns of Fever01:26

Patterns of Fever

2.6K
Before understanding the types and patterns of fever, it is essential to know its phases.
2.6K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

128
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:
128
Pulmonary Tuberculosis III01:31

Pulmonary Tuberculosis III

326
Tuberculosis (TB) is a contagious infection primarily affecting the lung parenchyma but which can also affect other body parts. TB can be classified based on disease development, presentation, and the affected anatomical site.
The first classification is based on the development of the disease, and it includes the following categories:
326
Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

143
Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
143

You might also read

Related Articles

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

Sort by
Same author

Depression and arthritis: What the panel data says.

Musculoskeletal care·2024
Same author

Age, Gender, and Disease as Determinants of Social Distancing: Germany as a Case Study.

Disaster medicine and public health preparedness·2023
Same author

Internet searching on the head louse in the UK since the COVID-19 pandemic.

Pediatric dermatology·2022
Same author

Willingness to self-isolate by those with HIV.

International journal of STD & AIDS·2022
Same author

Mobility and COVID-19 mortality across Scandinavia: A modeling study.

Travel medicine and infectious disease·2021
Same author

The Relationship between Mobility and COVID-19 in Germany: Modeling Case Occurrence using Apple's Mobility Trends Data.

Methods of information in medicine·2021

Related Experiment Video

Updated: Jul 3, 2025

Author Spotlight: Controlled Human Exposure Model for Tick Research and Lyme Disease Studies
04:47

Author Spotlight: Controlled Human Exposure Model for Tick Research and Lyme Disease Studies

Published on: December 1, 2023

645

Examining trends in epidemic typhus using historical texts.

Mark David Walker1

  • 1Department of the Natural and Built Environment, Sheffield Hallam University, Sheffield, United Kingdom.

Journal of Vector Borne Diseases
|February 15, 2024
PubMed
Summary

Examining word usage trends reveals historical patterns of epidemic typhus. Increased use of "typhus" correlated with industrialization and major conflicts, offering insights where data is scarce.

Area of Science:

  • Historical epidemiology
  • Lexicography
  • Public health history

Background:

  • Epidemic typhus was endemic in Europe, but its impact is poorly understood due to limited record-keeping in affected populations.
  • Official data on typhus prevalence is often lacking, particularly for historical periods and vulnerable socioeconomic groups.

Purpose of the Study:

  • To investigate if word usage frequency, specifically the term "typhus", can serve as a proxy for epidemic typhus patterns.
  • To analyze trends in the use of the word "typhus" in British English from 1800 to 2019.

Main Methods:

  • Utilized Google Ngram Viewer to track the frequency of the word "typhus" in British English texts.
  • Analyzed word usage trends in relation to historical events, industrialization, public health legislation, and medical advancements.

More Related Videos

'Bioluminescent' Reporter Phage for the Detection of Category A Bacterial Pathogens
11:31

'Bioluminescent' Reporter Phage for the Detection of Category A Bacterial Pathogens

Published on: July 8, 2011

13.5K
Feeding of Ticks on Animals for Transmission and Xenodiagnosis in Lyme Disease Research
08:23

Feeding of Ticks on Animals for Transmission and Xenodiagnosis in Lyme Disease Research

Published on: August 31, 2013

13.2K

Related Experiment Videos

Last Updated: Jul 3, 2025

Author Spotlight: Controlled Human Exposure Model for Tick Research and Lyme Disease Studies
04:47

Author Spotlight: Controlled Human Exposure Model for Tick Research and Lyme Disease Studies

Published on: December 1, 2023

645
'Bioluminescent' Reporter Phage for the Detection of Category A Bacterial Pathogens
11:31

'Bioluminescent' Reporter Phage for the Detection of Category A Bacterial Pathogens

Published on: July 8, 2011

13.5K
Feeding of Ticks on Animals for Transmission and Xenodiagnosis in Lyme Disease Research
08:23

Feeding of Ticks on Animals for Transmission and Xenodiagnosis in Lyme Disease Research

Published on: August 31, 2013

13.2K

Main Results:

  • Word usage of "typhus" increased throughout the 19th century, correlating with industrialization.
  • Usage peaked during World Wars I and II, showing strong correlations with terms like "conflict", "warfare", and "industry".
  • Shifts in usage corresponded with public health legislation and the introduction of antibiotics in the UK.

Conclusions:

  • Word frequency analysis can illuminate disease occurrence patterns when traditional data sources are insufficient.
  • The study demonstrates the utility of linguistic analysis in understanding historical public health challenges like epidemic typhus.