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Malaria

Malaria

Malaria pathogenesis in humans reflects a delicate interplay between parasite biology and host response. Clinical illness reflects a host’s immune response to the parasite’s asexual replication cycle, which is often asymptomatic in individuals with partial immunity. From the parasite's perspective, transmission between mosquito and human with minimal host pathology is evolutionarily advantageous. Among the six Plasmodium species infecting humans, P. falciparum and P. vivax dominate in global...

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Related Experiment Video

Updated: Jun 11, 2026

Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria

Methods to Increase the Sensitivity of High Resolution Melting Single Nucleotide Polymorphism Genotyping in Malaria

Published on: November 10, 2015

Uncertainty in mapping malaria epidemiology: implications for control.

David Sullivan¹

¹The Malaria Research Institute, W. Harry Feinstone Department of Molecular Microbiology and Immunology, The Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205, USA. dsulliva@jhsph.edu

Epidemiologic Reviews

|June 29, 2010

Summary

This summary is machine-generated.

Malaria epidemiology describes disease distribution and etiologic factors to guide control. Integrating spatial and temporal data is crucial for effective malaria elimination strategies.

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Last Updated: Jun 11, 2026

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Area of Science:

Epidemiology
Infectious Diseases
Public Health

Background:

Malaria is a complex infectious disease influenced by environmental, vector, parasite, and host factors.
Understanding malaria's spatial and temporal distribution is key to effective control.
Significant uncertainty remains regarding the global annual burden of malaria cases.

Purpose of the Study:

To describe malaria distribution and associated etiologic factors in space and time.
To guide control objectives by modeling impact and measuring progress of control tactics.
To highlight the need for accurate detection of asymptomatic malaria reservoirs.

Main Methods:

Mapping of malaria distribution and causative factors at various scales.
Analysis of environmental, biologic, and social factors influencing malaria transmission.
Integration of epidemiologic data with intervention measures.

Main Results:

Malaria mapping has been achieved globally and at finer biologic levels.
Despite advances, substantial uncertainty persists regarding annual malaria case counts.
Accurate detection and treatment of asymptomatic malaria reservoirs are critical.

Conclusions:

Effective malaria control requires a comprehensive understanding of its epidemiology.
Digital integration and mapping of epidemiologic factors and interventions are essential for sustainable control.
The global malaria community is actively pursuing malaria elimination goals.