Freedom from infection: enhancing decision-making for malaria elimination.

ABSTRACT: Assessing elimination of malaria locally requires a surveillance system with high sensitivity and specificity to detect its presence without ambiguity. Currently, the WHO standard criteria of observing the absence of locally acquired cases for 3 consecutive years, combined with a health systems assessment, are used to justify claims of malaria elimination. However, relying on a qualitative framework to support the application of this guideline can lead to early, over-optimistic relaxation of control measures with the potential for resurgence. Overcoming this challenge requires innovative approaches to model the coupled processes of malaria transmission and its clinical observation.We propose a novel statistical framework based on a state-space model to probabilistically demonstrate the abs

SUBMITTER: Nelli L 

PROVIDER: S-EPMC11628951 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature