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

Symbiosis00:58

Symbiosis

Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models00:57

Physiological Pharmacokinetic Models: Blood Flow-Limited Versus Diffusion-Limited Models

Physiological pharmacokinetic models, often called flow-limited or perfusion models, typically assume a swift drug distribution between tissue and venous blood, creating a rapid drug equilibrium. This premise is based on the idea that drug diffusion is extremely fast, and the cell membrane presents no barrier to drug permeation. In this scenario, where no drug binding occurs, the drug concentration in the tissue equals that of the venous blood leaving the tissue. This greatly simplifies the...
Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model01:14

Pharmacodynamic Models: Link Model and Systems Pharmacodynamic Model

The link model is a fundamental pharmacokinetic-pharmacodynamic (PK–PD) approach to account for delayed drug responses when the observed effect does not immediately correlate with the drug's plasma concentration peak. This delay is mathematically addressed by introducing an effect compartment concentration, Ce, which is kinetically linked to the plasma concentration, Cp, via a first-order rate constant, ke0. The linkage allows for a more accurate prediction of drug effects over time. A higher...
Causality in Epidemiology01:21

Causality in Epidemiology

Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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...

You might also read

Related Articles

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

Sort by
Same author

Design and Control of a 1-DOF MRI Compatible Pneumatically Actuated Robot with Long Transmission Lines.

IEEE/ASME transactions on mechatronics : a joint publication of the IEEE Industrial Electronics Society and the ASME Dynamic Systems and Control Division·2011
Same author

Effect of oxidized low-density lipoprotein concentration polarization on human smooth muscle cells' proliferation, cycle, apoptosis and oxidized low-density lipoprotein uptake.

Journal of the Royal Society, Interface·2011
Same author

Acrolein hydrogenation on Pt(211) and Au(211) surfaces: a density functional theory study.

Physical chemistry chemical physics : PCCP·2011
Same author

Anhydrous proton-conducting membrane based on poly-2-vinylpyridinium dihydrogenphosphate for electrochemical applications.

The journal of physical chemistry. B·2011
Same author

Pharmacophore identification, virtual screening and biological evaluation of prenylated flavonoids derivatives as PKB/Akt1 inhibitors.

European journal of medicinal chemistry·2011
Same author

Metabolomic study of insomnia and intervention effects of Suanzaoren decoction using ultra-performance liquid-chromatography/electrospray-ionization synapt high-definition mass spectrometry.

Journal of pharmaceutical and biomedical analysis·2011
Same journal

Evaluation of scientific outcomes of TDR-supported clinical research and development fellows in low- and middle-income countries: a bibliometric analysis.

Infectious diseases of poverty·2026
Same journal

Epidemiological characteristics of anthropophilic and zoophilic dermatophytosis: a 40-year retrospective prevalence study.

Infectious diseases of poverty·2026
Same journal

Spatiotemporal trends in tuberculosis incidence in Thailand, 2012-2023: a nationwide, province-level analysis.

Infectious diseases of poverty·2026
Same journal

Spotlighting zoonotic strongyloidiasis: a semi-systematic review of threadworms within baboons highlights opportunities for human infections.

Infectious diseases of poverty·2026
Same journal

Rapid drug susceptibility testing of Mycobacterium tuberculosis against first-line drugs simultaneously all-in-one plate by using a novel high-sensitive reporter phage combined with the BACTEC MGIT 960 system.

Infectious diseases of poverty·2026
Same journal

Global distribution, clinical characteristics, and outcomes of human intestinal capillariasis, 2000-2025: a systematic review.

Infectious diseases of poverty·2026
See all related articles

Related Experiment Video

Updated: May 9, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Malaria transmission modelling: a network perspective.

Jiming Liu1, Bo Yang, William K Cheung

  • 1Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong. jiming@comp.hkbu.edu.hk.

Infectious Diseases of Poverty
|July 16, 2013
PubMed
Summary
This summary is machine-generated.

Developing effective malaria surveillance requires inferring transmission networks from spatial and temporal data. This approach helps predict disease spread and inform public health strategies for malaria control.

More Related Videos

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

Building a Better Mosquito: Identifying the Genes Enabling Malaria and Dengue Fever Resistance in A. gambiae and A. aegypti Mosquitoes
15:03

Building a Better Mosquito: Identifying the Genes Enabling Malaria and Dengue Fever Resistance in A. gambiae and A. aegypti Mosquitoes

Published on: July 4, 2007

Related Experiment Videos

Last Updated: May 9, 2026

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling
20:36

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei
09:02

An Experimental Model to Study Tuberculosis-Malaria Coinfection upon Natural Transmission of Mycobacterium tuberculosis and Plasmodium berghei

Published on: February 17, 2014

Building a Better Mosquito: Identifying the Genes Enabling Malaria and Dengue Fever Resistance in A. gambiae and A. aegypti Mosquitoes
15:03

Building a Better Mosquito: Identifying the Genes Enabling Malaria and Dengue Fever Resistance in A. gambiae and A. aegypti Mosquitoes

Published on: July 4, 2007

Area of Science:

  • Epidemiology
  • Computational Biology
  • Public Health

Background:

  • Malaria elimination programs face challenges due to complex transmission dynamics.
  • Current surveillance systems often lack the ability to infer underlying transmission networks.
  • Predicting program impact and disease resurgence requires advanced analytical methods.

Purpose of the Study:

  • To explore the development of effective surveillance mechanisms for malaria.
  • To investigate the inference of malaria transmission networks using temporal and spatial data.
  • To enhance early detection of malaria prevalence and transmission patterns.

Main Methods:

  • Surveying related work on transmission network inference.
  • Discussing computational approaches for inferring malaria transmission networks from partial surveillance data.
  • Identifying methodological steps and validation issues for network inference.

Main Results:

  • Transmission network inference offers insights beyond traditional clustering methods.
  • Network analysis can reveal hidden factors influencing malaria transmission (environment, genetics, ecology).
  • This approach extends current malaria transmission modeling capabilities.

Conclusions:

  • Inferring malaria transmission networks is crucial for effective surveillance.
  • Network-based approaches can improve the prediction of malaria transmission patterns and trends.
  • Further research into methodological formulation and validation is needed.