Early warning systems for malaria outbreaks in Thailand: an anomaly detection approach.

ABSTRACT:

Background

Malaria continues to pose a significant health threat. Rapid identification of malaria infections and the deployment of active surveillance tools are crucial for achieving malaria elimination in regions where malaria is endemic, such as certain areas of Thailand. In this study, an anomaly detection system is introduced as an early warning mechanism for potential malaria outbreaks in countries like Thailand.

Methods

Unsupervised clustering-based, and time series-based anomaly detection algorithms are developed and compared to identify abnormal malaria activity in Thailand. Additionally, a user interface tailored for anomaly detection is designed, enabling the Thai malaria surveillance team to utilize these algorithms and visualize regions exhibiting unusual malaria

SUBMITTER: Srimokla O 

PROVIDER: S-EPMC10775623 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature