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Sonia Ponzo

Researcher at University of Hertfordshire

Publications -  26
Citations -  639

Sonia Ponzo is an academic researcher from University of Hertfordshire. The author has contributed to research in topics: Population & Anxiety. The author has an hindex of 4, co-authored 20 publications receiving 137 citations.

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Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis.

TL;DR: In this paper, a systematic review was conducted using standardized methodology, searching two electronic databases (PubMed and SCOPUS) for relevant literature published between 1st January 2020 and 9th July 2020.
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Population risk factors for severe disease and mortality in COVID-19: A global systematic review and meta-analysis

TL;DR: A range of easily assessed parameters are valuable to predict elevated risk of severe illness and mortality as a result of COVID-19, including patient characteristics and detailed comorbidities, alongside the novel inclusion of real-time symptoms and vital measurements.
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Efficacy of the Digital Therapeutic Mobile App BioBase to Reduce Stress and Improve Mental Well-Being Among University Students: Randomized Controlled Trial

TL;DR: This study shows the efficacy of a biofeedback digital intervention in reducing self-reported anxiety and increasing perceived well-being in UK university students and suggests that digital mental health interventions could constitute a novel approach to treat stress and anxiety in students, which could be combined or integrated with existing therapeutic pathways.
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Balancing body ownership: Visual capture of proprioception and affectivity during vestibular stimulation

TL;DR: These findings suggest that the vestibular system influences multisensory integration, possibly by re‐weighting both the two‐ way relationship between proprioception and vision, as well as the three‐way relationship betweenroprioception, vision and affective touch.
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Measuring interoception: The phase adjustment task.

TL;DR: In this article, a smartphone-based phase adjustment task (PAT) is described, where tones are presented at the participant's heart rate, but out of phase with heartbeats.