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Int J Nephrol
December 2024
Department of Parasitology, Faculty of Medicine and Allied Sciences, Rajarata University of Sri Lanka, Anuradhapura, Sri Lanka.
PLoS Negl Trop Dis
December 2024
University of Queensland Centre of Clinical Research (UQCCR), University of Queensland, Brisbane, Australia.
Little is known about the epidemiology of leptospirosis in the Dominican Republic, the second most populous country in the Caribbean. We report on findings from a multi-stage household survey across two regions in the country that reveals a previously under-estimated burden of human Leptospira infection. Our findings, based on the reference-standard microscopic agglutination test, indicate a complex picture of serogroup diversity, spatial heterogeneity in infection and risk, and a marked discrepancy between reported cases and serologically estimated infections.
View Article and Find Full Text PDFMedicine (Baltimore)
December 2024
Department of Critical Care Medicine, Fuyang Infectious Disease Clinical College of Anhui Medical University, Fuyang, Anhui Province, China.
Rationale: The mortality rate associated with pulmonary hemorrhage induced by leptospirosis is notably high. Available treatment modalities are limited, and their efficacy has not been fully demonstrated. Here, we present the case report of a patient with leptospirosis-induced pulmonary hemorrhagic syndrome.
View Article and Find Full Text PDFRev Saude Publica
December 2024
Pontifícia Universidade Católica do Paraná. Laboratório de Doenças Infecciosas Emergentes. Curitiba, PR, Brasil.
To correlate the incidence of leptospirosis with sociodemographic data in the Brazilian Unified Health System from 2011 to 2022. This ecological study used national health and economic secondary data sources. Secondary analyses summarized the scenario of disease-related hospitalizations among federative units.
View Article and Find Full Text PDFCureus
November 2024
Pharmacology, All India Institute of Medical Sciences, Kalyani, IND.
Introduction Leptospirosis is a zoonotic infection caused by bacteria, which is reemerging in various regions and often poses a diagnostic challenge due to its nonspecific symptoms. While most infections are mild, severe cases occur in 5-10% of patients and are associated with high mortality, especially in areas with poor sanitation and urbanization. This study aims to investigate the association of specific parameters with leptospirosis diagnosis using a machine learning model and geographic mapping tools to identify spatial patterns and high-risk areas for the disease.
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