Publications by authors named "J L Prada"

Objectives: This study aimed to improve the understanding of seasonal incidence pattern observed in salmonellosis by identifying the most influential weather factors, characterizing the nature of this association, and assessing whether it is geographically restricted or generalizable to other locations.

Methods: A novel statistical model was employed to estimate the incidence of salmonellosis conditional to various combinations of three simultaneous weather factors from 14 available. The analysis utilised daily salmonellosis cases reported from 2000 to 2016 along with detailed spatial and temporal weather data from England and Wales, and the Netherlands.

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Cutaneous squamous cell carcinoma (CSCC) in dogs is a locally invasive tumor that typically occurs in areas of poorly pigmented skin due to sun exposure. Identifying new biomarkers, such as syndecan-1 (CD138) and E-cadherin, is fundamental for tumor diagnosis and prognosis. Dysregulation of syndecan-1, expressed in epithelial tissue, fibroblasts, and plasma cells, is associated with poor prognosis in several types of cancer.

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While there is much knowledge about local neuronal circuitry, considerably less is known about how neuronal input is integrated and combined across neuronal networks to encode higher order brain functions. One challenge lies in the large number of complex neural interactions. Neural networks use oscillating activity for information exchange between distributed nodes.

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We present a rare case report of a patient with a congenital uterine anomaly - uterus didelphys. Who spontaneously became pregnant and completed the pregnancy successfully after peripartum hysterectomy of one uterus. The reason for the peripartum hysterectomy was a life-threatening hemorrhage with hemoperitoneum after cesarean delivery.

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Background: Parasitic neglected tropical diseases (NTDs) or 'infectious diseases of poverty' continue to affect the poorest communities in the world, including in the Philippines. Socio-economic conditions contribute to persisting endemicity of these infectious diseases. As such, examining these underlying factors may help identify gaps in implementation of control programs.

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