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

Oraya SrimoklaWirichada Pan-NgumAmnat KhamsiriwatcharaChantana PadungtodRungrawee TipmontreeNoppon ChoosriSompob Saralamba
Published in: Malaria journal (2024)
An enhanced early warning system is proposed to bolster malaria elimination efforts for countries with a similar malaria profile to Thailand. The developed anomaly detection algorithms, after thorough comparison, have been optimized for integration with the current malaria surveillance infrastructure. An anomaly detection dashboard for Thailand is built and supports early detection of abnormal malaria activity. In summary, the proposed early warning system enhances the identification process for provinces at risk of outbreaks and offers easy integration with Thailand's established malaria surveillance framework.
Keyphrases
  • plasmodium falciparum
  • public health
  • loop mediated isothermal amplification
  • machine learning
  • label free
  • real time pcr
  • deep learning
  • clinical evaluation