Related Experiment Video
Updated: Jun 6, 2026

05:28
Standard Membrane Feeding Assay for the Detection of Plasmodium falciparum Infection in Anopheles Mosquito Vectors
Published on: May 12, 2022
A framework for assessing the feasibility of malaria elimination
Bruno Moonen1, Justin M Cohen, Andy J Tatem
1Clinton Health Access Initiative, Boston, USA. bmoonen@clintonhealthaccess.org
Malaria Journal
|November 13, 2010
Summary
Malaria elimination requires a feasibility assessment balancing epidemiology, health systems, and resources. This framework helps countries plan data-driven strategies for malaria control and eradication.
Area of Science:
- Global Health
- Infectious Disease Epidemiology
- Public Health Policy
Background:
- Increased malaria interventions have reduced disease burden, prompting consideration of malaria elimination.
- Countries need evidence-based guidance to transition from control to elimination strategies.
- Long-term strategic planning requires a comprehensive feasibility assessment.
Purpose of the Study:
- To propose a framework for assessing malaria elimination feasibility.
- To guide countries in weighing strategic options for malaria control and eradication.
- To provide a rational methodology for data-driven strategic planning.
Main Methods:
- Developed a quantitative feasibility assessment framework based on the Zanzibar experience.
- The framework evaluates technical requirements, operational capacity, and funding feasibility.
- Identified key quantitative and qualitative metrics for data collection and interpretation.
Main Results:
- A flexible, rational methodology for malaria elimination feasibility assessment was proposed.
- The framework balances epidemiological situation, public health system strength, and resource constraints.
- The assessment considers malaria control status in neighboring areas.
Conclusions:
- The proposed framework offers a data-driven approach to strategic planning for malaria elimination.
- Further field testing and validation are needed for broader applicability across diverse epidemiological settings.
- This methodology supports informed decision-making for sustainable malaria control and potential eradication.

