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| http://dx.doi.org/10.1016/j.ajp.2020.102088 | DOI Listing |
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The feasibility of using machine learning to predict COVID-19 cases.
Int J Med Inform
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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 PDFAntimicrobial consumption and resistance in a tertiary care hospital in Brazil: a 7-year time series.
J Infect Dev Ctries
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Faculdade de Farmácia, Universidade Federal de Minas Gerais, Brazil.
Introduction: Antimicrobial resistance (AMR) is a major public health challenge globally. This study aimed to analyze the antibacterial consumption (ATBc), and the incidence of multidrug-resistant organisms (MDRO), focusing on pathogens Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumoniae, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacter spp. (ESKAPE group), in a Brazilian tertiary care hospital.
View Article and Find Full Text PDFImpact of COVID-19 lockdowns and refugee influx on scabies presentations to dermatology outpatient clinics in Turkey.
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Faculty of Medicine, Sakarya University, Sakarya, Türkiye.
Introduction: The frequency of scabies and its relationship with the coronavirus disease 2019 (COVID-19) pandemic is a current scientific curiosity in Turkey and worldwide. The data presented in this article will help raise awareness of dermatologists in situations such as pandemic-induced quarantines where scabies can spread rapidly.
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Insights of community pharmacists on antibiotic misuse during the COVID-19 pandemic in the northern region of Cyprus.
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Faculty of Medicine, Eastern Mediterranean University, Famagusta, N. Cyprus via Mersin 10, Turkey.
Introduction: The global healthcare system faced unparalleled challenges during the coronavirus disease 2019 (COVID-19) pandemic, potentially reshaping antibiotic usage trends. This study aimed to evaluate the knowledge, perceptions, and observations of community pharmacists concerning antibiotic utilization during and after the pandemic; and offer crucial insights into its impact on antibiotic usage patterns and infection dynamics.
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Network analysis of socioeconomic disparities and public transport in COVID-19 spread: a case study in northeast Brazil.
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Graduate Program in Health Sciences, Federal University of Sergipe, SE, Brazil.
Introduction: The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted public transportation systems worldwide. In this study, we evaluated the rate of COVID-19 positivity and its associated factors among users of public transportation in socioeconomically disadvantaged regions of Brazil during the pre-vaccination phase of the pandemic.
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