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Roadblocks to embrace Malaria prediction tools despite 93.7% accuracy

Content Editor: Dr. Purnoor Kaur

April 17, 2023 at 2:12:34 PM

Vector borne diseases, Predictive health technology, Disease surveillance

Content Editor: Dr. Purnoor Kaur

  • In 2020, Malaria No More team piloted the "Malaria Prediction and Planning Toolkit," in Koraput and Malkangiri, Odisha. 

  • It uses cloud databricks, with weather parameters, population variables, health access, etc, runs algorithms to predict outbreak and prescribe strategies. 

  • The pilot yielded a 93.7% accuracy and 80% case reduction. 

  • Dr. Mateen (Wellcome Trust) highlighted the roadblocks to adoption: funding, inadequate digital infrastructure, unreliable internet connectivity, inadequate R&D, no cost-effectiveness analyses, etc. 

  • Dr. Sarkar, Director, Institute for Malaria and Climate Solutions, emphasizes the need for advocacy consolidation.

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