Results 261 to 270 of about 565,621 (377)

Epidemiology and clinical characteristics of Mediterranean spotted fever suspects in a university hospital, Tunisia, 2000-2020. [PDF]

open access: yesEpidemiol Infect
Lamloumi M   +7 more
europepmc   +1 more source

Spotted Fever Group Rickettsiosis and Vectors in Kanagawa Prefecture

open access: bronze, 1996
Takashi Katayama   +3 more
openalex   +2 more sources

Automated identification of spotted‐fever tick vectors using convolutional neural networks

open access: yesMedical and Veterinary Entomology, EarlyView.
We evaluate the performance of convolutional neural networks (CNN) AlexNet, ResNet‐50 and MobileNetV2 for the automated identification of tick species capable of transmitting spotted fever. CNNs achieved accuracy rates of ~90% in identifying ticks and showed sensitivities of 59%–100% according to species, sex, position or image resolution.
Isadora R. C. Gomes   +11 more
wiley   +1 more source

Detection of Anaplasma phagocytophilum and Babesia aktasi in a wild bezoar goat (Capra aegagrus): Overlap with domestic goat strains

open access: yesMedical and Veterinary Entomology, EarlyView.
This study provides the first molecular detection of tick‐borne pathogens in Capra aegagrus. Genetic analysis reveals similarities between Babesia aktasi and Anaplasma phagocytophilum strains in bezoar and domestic goats, indicating potential pathogen exchange.
Aykut Zerek   +4 more
wiley   +1 more source

Risk Factors for Spotted Fever Group Rickettsioses in Kilimanjaro Region, Tanzania. [PDF]

open access: yesOpen Forum Infect Dis
Bowhay TR   +16 more
europepmc   +1 more source

Spotted Fever Group Rickettsioses and Murine Typhus in a Malaysian Teaching Hospital.

open access: yesAmerican Journal of Tropical Medicine and Hygiene, 2016
K. Kho   +6 more
semanticscholar   +1 more source

Algorithmic Paranoia: Gig Workers' Affective Experience of Abusive Algorithmic Management

open access: yesNew Technology, Work and Employment, EarlyView.
ABSTRACT Amidst the rapid rise of gig economy platforms, gig workers increasingly report feelings of mistrust, anxiety, and profound fear under opaque and abusive algorithmic management. This article introduces the concept of ‘algorithmic paranoia’ to capture the negative affective experiences stemming from workers' perceptions of algorithmic ...
Ana Alacovska   +2 more
wiley   +1 more source

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