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

Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

568
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
568
Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches01:14

Analysis Methods of Pharmacokinetic Data: Model and Model-Independent Approaches

237
Drug disposition in the body is a complex process and can be studied using two major approaches: the model and the model-independent approaches.
The model approach uses mathematical models to describe changes in drug concentration over time. Pharmacokinetic models help characterize drug behavior in patients, predict drug concentration in the body fluids, calculate optimum dosage regimens, and evaluate the risk of toxicity. However, ensuring that the model fits the experimental data accurately...
237
Single Nucleotide Polymorphisms-SNPs01:05

Single Nucleotide Polymorphisms-SNPs

16.1K
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,...
16.1K
Bias in Epidemiological Studies01:29

Bias in Epidemiological Studies

714
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:  
714
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

89
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
89
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

755
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
755

You might also read

Related Articles

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

Sort by
Same author

Open Diagnostic Reader (ODR): An affordable, modular 3D-printed platform for standardized imaging and quantitative analysis of rapid diagnostic tests.

HardwareX·2026
Same author

Estimating the Transmission Potential of Symptomatic and Asymptomatic Cholera Cases from Household Microbiological and Clinical Data.

The Journal of infectious diseases·2026
Same author

Methodologic Insights on Building and Evaluating Models for Early Warning of Hypotension during Surgery.

Anesthesiology·2026
Same author

Quantifying relative health impact across Gavi, the Vaccine Alliance's portfolio in 117 countries at the subregional level: a modelling study.

Lancet (London, England)·2026
Same author

Cholera surveillance time series in Africa between 2010 and 2023.

Gates open research·2026
Same author

When mpox is not mpox: varicella and measles in DR Congo.

The Lancet. Infectious diseases·2026

Related Experiment Video

Updated: Sep 23, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.8K

Applying mixture model methods to SARS-CoV-2 serosurvey data from Geneva.

Judith A Bouman1, Sarah Kadelka1, Silvia Stringhini2

  • 1Institute of Integrative Biology, ETH Zurich, Zurich, Switzerland.

Epidemics
|May 17, 2022
PubMed
Summary

Mixture models offer deeper insights into SARS-CoV-2 serosurveys than cutoff methods. These advanced analyses reveal cumulative incidence and disease severity indicators from antibody data.

Keywords:
COVID-19Mixture model methodsSARS-CoV-2Serological assaysSerosurvey

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

1.3K
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

4.3K

Related Experiment Videos

Last Updated: Sep 23, 2025

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling
08:26

Large-Scale SARS-CoV-2 Testing Utilizing Saliva and Transposition Sample Pooling

Published on: June 23, 2022

1.8K
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

1.3K
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

4.3K

Area of Science:

  • Epidemiology
  • Immunology
  • Biostatistics

Background:

  • Serosurveys are crucial for estimating the true prevalence of SARS-CoV-2 infections.
  • Traditional cutoff-based methods dichotomize serological data, potentially losing valuable information.
  • Mixture model methods utilize the full distribution of antibody measurements for more nuanced analysis.

Purpose of the Study:

  • To apply mixture model methods to SARS-CoV-2 serosurvey data from the SEROCoV-POP study.
  • To estimate cumulative incidence and an indirect indicator of disease severity.
  • To compare the utility of mixture models against traditional cutoff-based methods.

Main Methods:

  • Application of mixture model and extended mixture model methods.
  • Analysis of SARS-CoV-2 serological measurements from 2766 individuals in Geneva.
  • Comparison of antibody level distributions across different age groups and with control data.

Main Results:

  • Estimated cumulative incidence of SARS-CoV-2 at 8.1% (95% CI: 6.8%-9.9%).
  • Identified a significant fraction (51.2%) of cases with antibody levels similar to hospitalized patients, varying by age.
  • Observed a mismatch between the serosurvey's inferred negative distribution and pre-pandemic control data.

Conclusions:

  • Mixture model methods provide enhanced insights beyond traditional cutoff approaches in serosurveys.
  • These methods can estimate cumulative incidence and offer indirect indicators of disease severity.
  • Further investigation is warranted regarding discrepancies in control data distributions.