Publications by authors named "D S Y Ong"

Objectives: In this ecological study, we describe SARS-CoV-2 case incidence for school age and adult populations, COVID-19 hospitalisation and death rates during Delta and the early Omicron periods, before and after schools reopened in five countries.

Methods: Data were extracted from government websites. Cases and COVID-19 hospitalisation and death incidence rates were calculated during the Delta and early Omicron periods in Australia, Canada, Denmark, Finland and the United Kingdom, for two weeks preceding and six weeks after schools reopened.

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Article Synopsis
  • Anatomical education is shifting from traditional cadaver dissection to a combination of learner-centered methods and technology-enhanced learning.
  • The study, conducted at a graduate medical school in Singapore, used the technology acceptance model to evaluate first-year MD students' preferences for different learning technologies in anatomy tutorials.
  • Results showed significant preferences for 3D-printed models over Primal Pictures in Spine Anatomy and for Primal VR over the Anatomage Table in Brain Anatomy, emphasizing the importance of visualization in learning despite some technologies having a steeper learning curve.
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Endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is an established technique for lung cancer staging and the diagnosis of mediastinal diseases. Recently, the paradigm of EBUS guided mediastinal sampling with conventional cytology has shifted over to histology specimens through the use of cryobiopsy. This case series explores the novel technique, key enablers, and potential advantages of endoscopic ultrasound with bronchoscope-guided transesophageal cryobiopsy (EUS-B-TEC).

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Background: The use of real-world data has become increasingly popular, also in the field of infectious disease (ID), particularly since the COVID-19 pandemic emerged. While much useful data for research is being collected, these data are generally stored across different sources. Privacy concerns limit the possibility to store the data centrally, thereby also limiting the possibility of fully leveraging the potential power of combined data.

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