Leveraging Real-Time Population-Scale GPS Data to Forecast and Identify Components of Epidemic Dynamics
for improving the identification of leptospirosis cases.This strategy can help inform clinicians about the importance of early treatment initiation and guide public health messaging to prevent exposure to contaminated floodwaters.Additionally, advanced age emerged as a significant predictor of adverse outcomes.A comprehensive understanding of the diverse clinical manifestations and risk factors associated with leptospirosis is essential for healthcare providers aiming to improve patient outcomes.
Authors
- Daniela Schulz
- Richard W. Pastor (ORCID: https://orcid.org/0000-0002-2454-5131)
- Dolores Hidalgo (ORCID: https://orcid.org/0000-0003-0846-6924)
- Dr Ashish Thampi
Publication Details
- Journal
- International Journal of Infectious Diseases
- Published
- 2025-02-28
- DOI
- https://doi.org/10.1016/j.ijid.2024.107651
- Primary Topic
- Data-Driven Disease Surveillance
- Type
- article
- Field-Weighted Citation Impact
- 0.00