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Predicting Kyasanur forest disease in resource-limited settings using event-based surveillance and transfer learning
In recent years, the reports of Kyasanur forest disease (KFD) breaking endemic barriers by spreading to new regions and crossing state boundaries is alarming. Effective disease surveillance and reporting systems are lacking for this emerging zoonosis, hence hindering control and prevention efforts....
Autores principales: | Keshavamurthy, Ravikiran, Charles, Lauren E. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10329696/ https://www.ncbi.nlm.nih.gov/pubmed/37422454 http://dx.doi.org/10.1038/s41598-023-38074-0 |
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