Secondary SARS-CoV-2 transmission by type of exposure setting among university students.

We aimed to investigate the association between exposure settings and secondary SARS-CoV-2 transmission among university students. Students diagnosed with COVID-19 ( = 139) and randomly selected controls ( = 262) identified between April 4-December 5, 2021. This was a 1:2 case-control study.

sp. nov., isolated from a patient with ruptured appendicitis.

A clinical isolate, R131, was isolated from the peritoneal swab of a patient who suffered from ruptured appendicitis with abscess and gangrene in Hong Kong in 2018. Cells are facultatively anaerobic, non-motile, Gram-positive coccobacilli. Colonies were small, grey, semi-translucent, low convex and alpha-haemolytic.

Role of IPF genetic risk loci in post-COVID-19 lung abnormalities: a cohort study.

Introduction: Persistent lung abnormalities following COVID-19 infection are common. Similar parenchymal changes are observed in idiopathic pulmonary fibrosis (IPF). We investigated whether common genetic risk factors in IPF are associated with developing lung parenchymal abnormalities following severe COVID-19 disease.

The feasibility and effectiveness of telecare consultations in a nurse-led post-acute stroke clinic.

Background: Telecare may provide an alternative to maintaining post-acute stroke care services in making benefit to both the providers and the stroke survivors, although study is needed to investigate its feasibility and effectiveness in integrating this innovative delivery mode into a routine.

Objectives: The objectives of this study are to assess the feasibility and effectiveness of telecare consultations in a nurse-led post-acute stroke clinic.

Methods: A pre- and post-test one group quasi-experimental design was adopted.

Identify structures underlying out-of-equilibrium reaction networks with random graph analysis.

Network measures have proven very successful in identifying structural patterns in complex systems (, a living cell, a neural network, the Internet). How such measures can be applied to understand the rational and experimental design of chemical reaction networks (CRNs) is unknown. Here, we develop a procedure to model CRNs as a mathematical graph on which network measures and a random graph analysis can be applied.