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

Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

727
According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
727
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

853
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...
853
Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

779
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:
779
Cluster Sampling Method01:20

Cluster Sampling Method

11.0K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
11.0K
Kohlraush’s Law and its Applications01:29

Kohlraush’s Law and its Applications

224
 Kohlrausch's law explains that at infinite dilution, where dissociation is complete, each ion's contribution to the conductivity of the electrolyte is independent of the nature of other ions present in the solution. It also implies that when an electrolyte is highly diluted, the conductance of the electrolyte is the sum of the individual conductances of the ions it generates upon dissociation. The quantity of electricity an ion carries is proportional to its molar ionic conductance, which...
224
Observational Studies01:11

Observational Studies

8.9K
Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One...
8.9K

You might also read

Related Articles

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

Sort by
Same author

Latent Archetypes of the Spatial Patterns of Cancer.

Statistics in medicine·2024
Same author

Sports Analytics in the Era of Big Data: Moving Toward the Next Frontier.

Big data·2019
Same author

OPTIMAL SAMPLING DESIGN FOR STUDIES OF GENE FLOW FROM A POINT SOURCE USING MARKER GENES OR MARKED INDIVIDUALS.

Evolution; international journal of organic evolution·2017
Same author

OPTIMAL SAMPLING DESIGNS FOR STUDIES OF GENE FLOW-A CHALLENGING TRADE-OFF: A REPLY TO KLEIN AND LARÉDO.

Evolution; international journal of organic evolution·2017
Same author

Sexually coercive male chimpanzees sire more offspring.

Current biology : CB·2014
Same author

Imputation of confidential data sets with spatial locations using disease mapping models.

Statistics in medicine·2014

Related Experiment Video

Updated: May 2, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K

Space-time prospective surveillance based on Knox local statistics.

Aline Piroutek1, Renato Assunção, Thaís Paiva

  • 1Departamento de Estatística, Universidade Federal de Minas Gerais, 31270-901, Belo Horizonte, MG, Brazil.

Statistics in Medicine
|February 28, 2014
PubMed
Summary

This study introduces an efficient space-time disease surveillance system using local Knox statistics. It rapidly detects emerging disease clusters while minimizing false alarms for public health use.

Keywords:
disease mappingdisease surveillanceprospective space-time surveillanceprospective surveillancespace-time clusteringspatial statistics

More Related Videos

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.0K
Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
07:27

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

16.3K

Related Experiment Videos

Last Updated: May 2, 2026

Trajectory Data Analyses for Pedestrian Space-time Activity Study
16:14

Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

13.4K
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

Published on: July 27, 2018

8.0K
Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy
07:27

Quantitative Analysis of Random Migration of Cells Using Time-lapse Video Microscopy

Published on: May 13, 2012

16.3K

Area of Science:

  • Epidemiology
  • Biostatistics
  • Public Health Surveillance

Background:

  • Timely detection of disease clusters is crucial for public health interventions.
  • Existing surveillance methods face challenges in prospective monitoring and controlling false alarms.

Purpose of the Study:

  • To develop and evaluate a prospective space-time disease surveillance system.
  • To enable early detection of disease clusters with a controlled false alarm rate.

Main Methods:

  • Modification of a local Knox statistic for prospective surveillance.
  • Evaluation across various scenarios, including emerging clusters with diverse characteristics (time, shape, extent, intensity).
  • Assessment of distributional assumptions and performance impacts.

Main Results:

  • The developed space-time surveillance system demonstrates high efficiency in statistical properties.
  • The system effectively detects emerging clusters in simulated scenarios.
  • Performance is robust across different cluster emergence patterns.

Conclusions:

  • The space-time surveillance system based on local Knox statistics is a statistically efficient tool.
  • Its simplicity and understandability make it highly appealing for practical application by public health agencies.
  • This system represents a promising advancement for disease outbreak detection and management.