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Surveillance as a Core Intervention to Strengthen Malaria Control Programs in Moderate to High Transmission Settings
Alison Fountain1, Yazoume Ye2, Arantxa Roca-Feltrer3
1Malaria Branch, Centers for Disease Control and Prevention, Atlanta, Georgia.
The American Journal of Tropical Medicine and Hygiene
|July 27, 2022
Summary
Transforming malaria surveillance into a core intervention requires timely, granular data for targeted control strategies. This approach, supported by strong leadership and integrated health systems, enhances decision-making and resource allocation for effective malaria elimination.
Area of Science:
- * Public Health
- * Tropical Medicine
- * Epidemiology
Background:
- * Malaria control necessitates innovative strategies beyond traditional methods.
- * Recent advancements in malaria surveillance offer potential for a paradigm shift.
- * Implementing enhanced surveillance faces challenges in high transmission areas.
Purpose of the Study:
- * To explore the transformation of malaria surveillance into a primary intervention.
- * To identify critical components for successful implementation in diverse settings.
- * To highlight the role of data in guiding malaria control programming and resource allocation.
Main Methods:
- * Analysis of practical experiences from national malaria control programs and partners.
- * Review of requirements for granular and timely data utilization.
- * Examination of necessary leadership, collaboration, and health system integration.
Main Results:
- * Granular, timely data are essential for understanding geographic variations and targeting interventions.
- * Resources like vector control, case management, and community health workers can be optimized using surveillance data.
- * Successful transformation hinges on leadership, decentralized implementation, and robust data systems.
Conclusions:
- * Malaria surveillance can be effectively transformed into a core intervention with appropriate strategies.
- * Strong leadership, integrated health systems, and data-driven decision-making are crucial.
- * Investment in technology, supply chains, and community health workers supports data utilization and programmatic response.

