Results 211 to 220 of about 611,182 (258)

Addressing Behavioural Determinants of Cutaneous Leishmaniasis Through Community Dialogue in Kalu District, Ethiopia: A Mixed‐Methods Study

open access: yesTropical Medicine &International Health, EarlyView.
ABSTRACT Background Cutaneous leishmaniasis (CL) is a major public health challenge in Ethiopia, with 20–30,000 new cases annually. Limited awareness and misconceptions contribute to delayed care seeking, stigma, prolonged healing, and reduced uptake of preventive measures in CL‐endemic communities.
Takele Gezahegn Demie   +13 more
wiley   +1 more source

Eco‐Epidemiological Study of Seropositivity Against Rickettsia and Leptospira Agents in Rural Areas of Urabá, Colombia

open access: yesTropical Medicine &International Health, EarlyView.
ABSTRACT Introduction Rickettsioses and leptospirosis are infectious diseases often underdiagnosed due to limited knowledge about their epidemiology, pathophysiology, and clinical aspects. Objectives To characterize the seroprevalence and seroincidence of Rickettsia and Leptospira agents and determine their associated factors in rural areas of Urabá ...
Mariana Torres‐Bustamante   +4 more
wiley   +1 more source

The Comparative Effectiveness of Vector Control Approaches for Dengue: A Systematic Review and Multilevel Network Meta‐Analysis

open access: yesTropical Medicine &International Health, EarlyView.
ABSTRACT Background Dengue vector control plays an important role in reducing the burden of dengue infection. Conventional meta‐analysis can only include interventions that can be directly compared. Hence, this study aimed to compare the effectiveness of all interventions for dengue vector control directly and indirectly through a multilevel Bayesian ...
Gary K. K. Low   +5 more
wiley   +1 more source

Processing Fluency and Predictive Processing: How the Predictive Mind Becomes Aware of its Cognitive Limitations

open access: yesTopics in Cognitive Science, EarlyView.
Abstract Predictive processing is an influential theoretical framework for understanding human and animal cognition. In the context of predictive processing, learning is often reduced to optimizing the parameters of a generative model with a predefined structure. This is known as Bayesian parameter learning.
Philippe Servajean, Wanja Wiese
wiley   +1 more source

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