Nmcp Sierra Leone

Surveillance Monitoring & Evaluation

National Control Malaria Program

Introduction

The prevalence of malaria in Kenya stands at approximately 6%, with variations observed across different endemic zones, as per the Kenya Malaria Indicator Survey (KMIS) 2020. Given this variability, a robust surveillance system is crucial for collecting high-quality, comprehensive, and timely malaria data to track disease trends and implement effective interventions.

Key points regarding surveillance, monitoring, and evaluation (SME) of malaria in Kenya include:

  1. Surveillance System Importance: The varying malaria burden across endemic zones underscores the necessity for a rigorous surveillance system to gather accurate and timely data. This data is essential for understanding disease trends and implementing targeted interventions.
  2. Guiding Framework: Surveillance, monitoring, and evaluation efforts are guided by the malaria Monitoring and Evaluation (M&E) plan, which aligns with the fifth objective of the Kenya Malaria Strategy (KMS) 2019 – 2023. This objective focuses on strengthening malaria surveillance and utilizing information to enhance program performance.
  3. Data Collection Mechanisms: Surveillance data is collected through an integrated routine health information system, which is supported by the Division of Health Informatics. This system facilitates the collection, management, and analysis of malaria-related data at various levels of the healthcare system.

By adhering to the principles outlined in the M&E plan and leveraging robust surveillance mechanisms, Kenya aims to improve decision-making processes, enhance program performance, and ultimately reduce the burden of malaria across the country.

The prevalence of malaria in Sierra leone stands at approximately 6%, with variations observed across different endemic zones, as per the Kenya Malaria Indicator Survey (KMIS) 2020. Given this variability, a robust surveillance system is crucial for collecting high-quality, comprehensive, and timely malaria data to track disease trends and implement effective interventions.