Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units

Fundamental Mathematical Principles in Pharmacokinetics: Mathematical Expressions and Units

Mathematical principles play a crucial role in pharmacokinetics, providing a framework for understanding and quantifying drug distribution and elimination dynamics in the body. By utilizing mathematical expressions and units, pharmacologists can accurately characterize the behavior of drugs, optimize dosing regimens, and predict therapeutic outcomes.
One significant application of mathematics in pharmacokinetics is the characterization of drug distribution through the volume of distribution...

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...

Symbiosis

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...

Mathematical Modeling: Problem Solving

Mathematical Modeling: Problem Solving

Mathematical modeling transforms real-world scenarios into mathematical expressions, allowing for structured problem-solving and analysis. This process involves defining the situation, assigning variables to measurable quantities, selecting an appropriate model, and solving the resulting equation. Such models are invaluable in finance, providing precise methods to evaluate investments, loans, and repayment structures.A widely used example is the calculation of fixed monthly payments on a loan,...

Mathematical Induction

Mathematical Induction

Mathematical induction is a structured method of proof used to confirm the truth of statements involving natural numbers. Consider the sum of the first n natural numbers:This formula describes a pattern that appears to hold true as more terms are added. To verify that it is valid for all natural numbers, mathematical induction proceeds in two essential steps. The first is the base case, where the formula is tested for the initial value, typically n = 1. Substituting into both sides confirms the...

Statistical Methods for Analyzing Epidemiological Data

Statistical Methods for Analyzing Epidemiological Data

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:

You might also read

Related Articles

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

Sort by

Same author

Cancer mortality projections through 2026 among young adults in 15 upper-middle and high-income countries with focus on colorectal cancer.

Cancer causes & control : CCC·2026

Same author

Major depressive disorder (MDD) and the risks of mortality and hospitalization in the UK Biobank.

BMC psychiatry·2026

Same author

Cause-specific excess mortality in rural India during the COVID-19 pandemic 2020-2023: longitudinal analyses of deaths in 0.2 million rural health facilities.

BMJ open·2026

Same author

Correction: Computer assisted verbal autopsy: comparing large language models to physicians for assigning causes to 6939 deaths in Sierra Leone from 2019-2022.

BMC medicine·2026

Same author

Trends and risk factors for suicide mortality in India from 2001-2019: National mortality study.

PLOS global public health·2026

Same author

Comparison of verbal autopsy using a large language model to biologically confirmed causes of death for malaria and other communicable diseases among children in six sub-Saharan African countries.

Malaria journal·2026

Search research articles

Related Experiment Video

Updated: May 15, 2026

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages

Published on: May 30, 2019

Mathematics and malaria.

¹, a senior editor on eLife , is in the Dalla Lana School of Public Health, and the Centre for Global Health Research , University of Toronto , Canada jhap@smh.ca.

|December 21, 2012

Summary

This summary is machine-generated.

Malaria parasite populations are shaped by human immunity. Understanding these interactions explains geographical and age-related variations in malaria risk.

Keywords:

Other Plasmodium falciparum antigenic diversity epidemiological dynamics immune selection parasite population structure var multi-gene family

More Related Videos

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging

Published on: June 8, 2017

Protocol for Production of a Genetic Cross of the Rodent Malaria Parasites

Protocol for Production of a Genetic Cross of the Rodent Malaria Parasites

Published on: January 3, 2011

Related Experiment Videos

Last Updated: May 15, 2026

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages

Published on: May 30, 2019

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging

In Vivo Tracking of Edema Development and Microvascular Pathology in a Model of Experimental Cerebral Malaria Using Magnetic Resonance Imaging

Published on: June 8, 2017

Protocol for Production of a Genetic Cross of the Rodent Malaria Parasites

Protocol for Production of a Genetic Cross of the Rodent Malaria Parasites

Published on: January 3, 2011

Area of Science:

Immunology
Parasitology
Epidemiology

Background:

Malaria parasite populations are dynamic.
Human immune responses significantly impact parasite populations.
Geographical and age-related differences in malaria risk are observed.

Purpose of the Study:

To investigate the influence of human immunity on malaria parasite populations.
To elucidate the mechanisms behind varying malaria risks across different locations and age groups.

Main Methods:

This study integrates immunological data with epidemiological information on malaria.
Mathematical modeling was employed to analyze host-parasite interactions.

Main Results:

Host immunity is a key determinant of malaria parasite population structure.
Immune interactions explain observed variations in disease severity and prevalence.
Specific immune profiles correlate with distinct parasite population dynamics.

Conclusions:

Understanding host-parasite interactions is crucial for predicting malaria epidemiology.
Targeting immune responses could offer new strategies for malaria control.
Immune-mediated selection pressures shape malaria parasite evolution.