AIMC Topic: Leptospirosis

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Spatio-temporal risk prediction of leptospirosis: A machine-learning-based approach.

PLoS neglected tropical diseases Jan 16, 2025
BACKGROUND: Leptospirosis is a neglected zoonotic disease prevalent worldwide, particularly in tropical regions experiencing frequent rainfall and severe cyclones, which are further aggravated by climate change. This bacterial zoonosis, caused by the...
Zoonoses Leptospira Incidence Leptospirosis Machine Learning Risk Factors Risk Assessment Spatio-Temporal Analysis Animals Humans
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Identifying the Drivers Related to Animal Reservoirs, Environment, and Socio-Demography of Human Leptospirosis in Different Community Types of Southern Chile: An Application of Machine Learning Algorithm in One Health Perspective.

Pathogens (Basel, Switzerland) Aug 14, 2024
Leptospirosis is a zoonosis with global public health impact, particularly in poor socio-economic settings in tropical regions. Transmitted through urine-contaminated water or soil from rodents, dogs, and livestock, leptospirosis causes over a millio...
Middle Aged Adolescent Child, Preschool Animals Male Dogs Leptospirosis Zoonoses Child Chile Risk Factors Aged Adult Cross-Sectional Studies Young Adult Machine Learning Algorithms Female Humans One Health Leptospira Disease Reservoirs Rodentia
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Study of machine learning techniques for outcome assessment of leptospirosis patients.

Scientific reports Jun 17, 2024
Leptospirosis is a global disease that impacts people worldwide, particularly in humid and tropical regions, and is associated with significant socio-economic deficiencies. Its symptoms are often confused with other syndromes, which can compromise cl...
Outcome Assessment, Health Care Adult Male Machine Learning Brazil Decision Trees Humans Algorithms Leptospirosis Female
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Prediction mapping of human leptospirosis using ANN, GWR, SVM and GLM approaches.

BMC infectious diseases Nov 13, 2019
BACKGROUND: Recent reports of the National Ministry of Health and Treatment of Iran (NMHT) show that Gilan has a higher annual incidence rate of leptospirosis than other provinces across the country. Despite several efforts of the government and NMHT...
Support Vector Machine Spatial Regression Neural Networks, Computer Linear Models Iran Leptospirosis Incidence Humans Climate Agriculture
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Predictive risk mapping of human leptospirosis using support vector machine classification and multilayer perceptron neural network.

Geospatial health May 14, 2019
Leptospirosis is a zoonotic disease found wherever human is in direct or indirect contact with contaminated water and environment. Considering the increasing number of cases of this disease in the northern part of Iran, identifying areas characterize...
Machine Learning Risk Factors Incidence Humans Environment Support Vector Machine Iran Leptospirosis Models, Statistical Spatial Analysis
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Machine Learning and Deep Learning Techniques for Prediction and Diagnosis of Leptospirosis: Systematic Literature Review.

JMIR medical informatics May 29, 2025
BACKGROUND: Leptospirosis, a zoonotic disease caused by Leptospira bacteria, continues to pose significant public health risks, particularly in tropical and subtropical regions.
Humans Algorithms Deep Learning Leptospirosis Neural Networks, Computer Machine Learning
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Scrub typhus: An under-reported and emerging threat - hospital based study from central and eastern Uttar Pradesh, India.

Journal of vector borne diseases Jan 1, 2021
BACKGROUND & OBJECTIVES: Scrub typhus is a zoonotic rickettsial disease that is transmitted by the bite of the larval stage (chiggers) of trombiculid mites. The aim of this study was to determine the existence of scrub typhus in central and eastern U...
Scrub Typhus India Tertiary Care Centers Aged Humans Male Fever Prospective Studies Leptospirosis Orientia tsutsugamushi
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