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

Stages of Infection01:26

Stages of Infection

61.4K
Stages of infection describe what happens to a susceptible host once a pathogen invades the human body. The stages of infection are incubation, prodromal, illness, stage of decline, and convalescence. The incubation stage is the period from exposure to a pathogen until symptoms start. The infected person is unaware of impending illness as the pathogens grow and multiply within the body. The duration may vary depending on the type of infection. The incubation period of measles averages ten to...
61.4K
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

283
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:
283
Infection01:20

Infection

9.5K
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...
9.5K

You might also read

Related Articles

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

Sort by
Same author

Extending the temporal window of arbovirus evolutionary analysis through the recovery of a century-old bandavirus.

Virus evolution·2026
Same author

Evaluation of a proposed link between the SARS-CoV-2 furin cleavage site and mouse-adapted MERS-coronavirus MA30.

Proceedings of the National Academy of Sciences of the United States of America·2026
Same author

Replication and compartmentalization of Dobrava-Belgrade virus in the central nervous system.

Emerging microbes & infections·2026
Same author

Rethinking virulence screening in Klebsiella pneumoniae: a case for a standardised Galleria mellonella infection model.

The Lancet. Microbe·2026
Same author

A case of delayed detection of vertical transmission of HIV-1 due to maternal therapy with long-acting injectable cabotegravir plus rilpivirine.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America·2026
Same author

Increase in imported mupirocin-resistant <i>Staphylococcus aureus</i> from the tropics and subtropics: trends in Berlin from 2018 to 2025.

New microbes and new infections·2026

Related Experiment Video

Updated: Nov 4, 2025

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

Estimating infectiousness throughout SARS-CoV-2 infection course.

Terry C Jones1,2,3, Guido Biele4,5, Barbara Mühlemann1,2

  • 1Institute of Virology, Charité--Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117 Berlin, Germany.

Science (New York, N.Y.)
|May 26, 2021
PubMed
Summary

Viral load and replication probability in SARS-CoV-2 infections were analyzed in over 25,000 cases. The B.1.1.7 variant showed significantly higher viral loads and replication potential compared to other strains.

More Related Videos

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

1.5K
Detection of SARS-CoV-2 Neutralizing Antibodies using High-Throughput Fluorescent Imaging of Pseudovirus Infection
10:25

Detection of SARS-CoV-2 Neutralizing Antibodies using High-Throughput Fluorescent Imaging of Pseudovirus Infection

Published on: June 5, 2021

4.9K

Related Experiment Videos

Last Updated: Nov 4, 2025

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
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

1.5K
Detection of SARS-CoV-2 Neutralizing Antibodies using High-Throughput Fluorescent Imaging of Pseudovirus Infection
10:25

Detection of SARS-CoV-2 Neutralizing Antibodies using High-Throughput Fluorescent Imaging of Pseudovirus Infection

Published on: June 5, 2021

4.9K

Area of Science:

  • Virology
  • Infectious Diseases
  • Public Health

Background:

  • Quantifying viral infection and shedding is crucial for understanding disease transmission.
  • Viral load and replication competence are key parameters in assessing infectiousness.

Purpose of the Study:

  • To analyze viral load and cell culture replication probability in a large cohort of SARS-CoV-2 infections.
  • To compare these parameters across different patient groups (PAMS, hospitalized) and the B.1.1.7 variant.

Main Methods:

  • Analysis of 25,381 SARS-CoV-2 cases in Germany.
  • Quantification of viral load (RNA copies per swab) and cell culture isolation probability.
  • Comparison of parameters based on age, symptom status, and viral lineage (B.1.1.7).

Main Results:

  • Younger subjects had lower viral loads and replication probability, likely not clinically relevant.
  • 8% of subjects had viral loads >10^9 copies/swab, with one-third being PAMS.
  • B.1.1.7 infections exhibited 1.05 higher mean log10 viral load and 2.6 times higher replication probability than non-B.1.1.7.
  • Peak viral load and isolation probability occurred approximately 4.3 days after shedding onset.

Conclusions:

  • The B.1.1.7 variant demonstrates increased viral load and replication efficiency.
  • Understanding viral shedding dynamics and variant-specific characteristics is vital for infection control.
  • Viral load and replication probability are important metrics for assessing SARS-CoV-2 infectiousness.