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| http://dx.doi.org/10.1111/jep.13419 | DOI Listing |
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The feasibility of using machine learning to predict COVID-19 cases.
Int J Med Inform
January 2025
School of Geography and the Environment, University of Oxford, South Parks Road, Oxford OX1 3QY, United Kingdom. Electronic address:
Background: Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 virus, emerged as a global health crisis in 2019, resulting in widespread morbidity and mortality. A persistent challenge during the pandemic has been the accuracy of reported epidemic data, particularly in underdeveloped regions with limited access to COVID-19 test kits and healthcare infrastructure. In the post-COVID era, this issue remains crucial.
View Article and Find Full Text PDFEvaluating convalescent plasma therapy in severe COVID-19: a retrospective cohort study.
J Infect Dev Ctries
December 2024
Department of Pharmacology, School of Medicine, Kashan University of Medical Sciences, Kashan, Iran.
Introduction: Convalescent plasma (CP) therapy is a form of passive immunization which has been used as a treatment for coronavirus disease 2019 (COVID-19). This study aims to evaluate the efficacy and safety of CP therapy in patients with severe COVID-19.
Methodology: In this retrospective cohort study, 50 patients with severe COVID-19 treated with CP at Shahid Beheshti Hospital, Kashan, in 2019 were evaluated.
Epidemiologic threats and outcome of evolving COVID-19-associated mucormycosis from a referral hospital in Egypt.
J Infect Dev Ctries
December 2024
Chest Dpt., Ahmed Maher Teaching Hospital, GOTHI, Cairo, Egypt.
Introduction: The present study aimed to explore the epidemiologic threats and factors associated with the coronavirus disease 2019 (COVID-19)-associated mucormycosis (CAM) epidemic that emerged in Egypt during the second COVID-19 wave. The study also aimed to explore the diagnostic features and the role of surgical interventions of CAM on the outcome of the disease in a central referral hospital.
Methodology: The study included 64 CAM patients from a referral hospital for CAM and a similar number of matched controls from COVID-19 patients who did not develop CAM.
Demystifying the role of MMP9 and TIMP-1 as markers of lung imaging and functional abnormality of COVID-19.
J Infect Dev Ctries
December 2024
Department of Pulmonary and Respiratory Medicine, Faculty of Medicine, Universitas Airlangga, Surabaya, Indonesia.
Introduction: This study aimed to analyze the levels of MMP-9 and TIMP-1 as biomarkers for identifying lung anatomical and functional abnormalities in coronavirus disease 2019 (COVID-19).
Methodology: Adult COVID-19 patients hospitalized between October and December 2021 were included in the study. MMP-9 and TIMP-1 levels were measured from the blood.
The first reported case of candidemia caused by the novel Candida tropicalis diploid sequence type 1515.
J Infect Dev Ctries
December 2024
Department of Emergency Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia.
Introduction: Since the dawn of the new millennium, Candida species have been increasingly implicated as a cause of both healthcare-associated as well as opportunistic yeast infections, due to the widespread use of indwelling medical devices, total parenteral nutrition, systemic corticosteroids, cytotoxic chemotherapy, and broad-spectrum antibiotics. Candida tropicalis is a pathogenic Candida species associated with considerable morbidity, mortality, and drug resistance issues on a global scale.
Methodology: We report a case of a 43-year-old man who was admitted to our hospital for further management of severe coronavirus disease 2019 (COVID-19) pneumonia.
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