Work

Leveraging Real-Time Population-Scale GPS Data to Forecast and Identify Components of Epidemic Dynamics

Year: 2025

Type: article

Abstract: 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.

Source: International Journal of Infectious Diseases

DOI: 10.1016/j.ijid.2024.107651

Authors: Dr Alejandra Hidalgo, Dr Steven Schulz, Dr Ashish Thampi, Richard Pastor

Language: English

Topic: Leptospirosis research and findings

Subfield: Parasitology

Field: Immunology and Microbiology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $2,900

OpenAlex ID: W4408046972

FWCI:

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Related to: 10