Wearable data reveals distinct characteristics of individuals with persistent symptoms after a SARS-CoV-2 infection DOI Creative Commons
Katharina Ledebur, Marc Wiedermann, Christian Puta

и другие.

npj Digital Medicine, Год журнала: 2025, Номер 8(1)

Опубликована: Март 19, 2025

Abstract Understanding the factors associated with persistent symptoms after SARS-CoV-2 infection is critical to improving long-term health outcomes. Using a wearable-derived behavioral and physiological dataset ( n = 20,815), we identified individuals characterized by self-reported fatigue shortness of breath infection. Compared symptom-free COVID-19 positive (n 150) negative controls 150), these 50) had higher resting heart rates (mean difference 2.37/1.49 bpm) lower daily step counts 3030/2909 steps fewer), even at least three weeks prior In addition, were significant reduction in mean quality life (WHO-5, EQ-5D), before Here show that may be pre-existing fitness levels or conditions. These findings additionally highlight potential wearable devices track dynamics provide valuable insights into outcomes infectious diseases.

Язык: Английский

Post-COVID-19 syndrome: nature of symptoms and associated factors DOI Open Access
Nagla Mahmoud, Nashwa Radwan, Abdullah Alkattan

и другие.

Journal of Public Health, Год журнала: 2023, Номер 32(2), С. 207 - 212

Опубликована: Янв. 3, 2023

Язык: Английский

Процитировано

13

ResNetFed: Federated Deep Learning Architecture for Privacy-Preserving Pneumonia Detection from COVID-19 Chest Radiographs DOI Creative Commons

Pascal Riedel,

Reinhold von Schwerin, Daniel Schaudt

и другие.

Journal of Healthcare Informatics Research, Год журнала: 2023, Номер 7(2), С. 203 - 224

Опубликована: Июнь 1, 2023

Personal health data is subject to privacy regulations, making it challenging apply centralized data-driven methods in healthcare, where personalized training frequently used. Federated Learning (FL) promises provide a decentralized solution this problem. In FL, siloed used for the model ensure privacy. paper, we investigate viability of federated approach using detection COVID-19 pneumonia as use case. 1411 individual chest radiographs, sourced from public repository COVIDx8 are The dataset contains radiographs 753 normal lung findings and 658 related pneumonias. We partition unevenly across five separate silos order reflect typical FL scenario. For binary image classification analysis these propose ResNetFed, pre-trained ResNet50 modified federation so that supports Differential Privacy. addition, customized strategy with radiographs. experimental results show ResNetFed clearly outperforms locally trained models. Due uneven distribution silos, observe models perform significantly worse than (mean accuracies 63% 82.82%, respectively). particular, shows excellent performance underpopulated achieving up +34.9 percentage points higher accuracy compared local Thus, can assist initial screening medical centers privacy-preserving manner.

Язык: Английский

Процитировано

12

Visual analysis of hotspots and trends in long COVID research based on bibliometric DOI Creative Commons
Zongqiang Lai,

Tao Pu,

Jun Li

и другие.

Heliyon, Год журнала: 2024, Номер 10(2), С. e24053 - e24053

Опубликована: Янв. 1, 2024

After severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, a series of symptoms may persist for long time, which is now called COVID. It was found that COVID can affect all patients with COVID-19. Therefore, has become hot topic. In this study, we used the WOS database as sample data source to conduct bibliometric and visual analysis 1765 articles over past three years through VOSviewer R package. The results show countries/authors in Europe United States America contribute most articles, their cooperation also active. Keyword co-occurrence identified four clusters, important topics including mechanism, clinical symptoms, epidemiological characteristics, management/treatment Themes such "cognitive impairment", "endothelial dysfunction", "diagnosis", "biomarkers" are likely be focus new attention coming period. addition, put forward possible research opportunities on researchers practitioners facilitate future research.

Язык: Английский

Процитировано

4

The incidence of outpatient care within 24 months from SARS-CoV-2 infection in the general population: a multicenter population-based cohort study DOI Creative Commons
Federico Banchelli, Carlo Gagliotti, Angela De Paoli

и другие.

BMC Infectious Diseases, Год журнала: 2025, Номер 25(1)

Опубликована: Янв. 30, 2025

Abstract Background The long-term effects of COVID-19, which can vary significantly in type and timing, are considered relevant impacting on the well-being individuals. present study aims to assess incidence outpatient care post-acute phase SARS-CoV-2 infection two Italian regions. Methods has a multicentre, population-based, pre-post, repeated measures design compare rate access visits diagnostics before after infection, considering follow-up 24 months. made use previously recorded large-scale healthcare data available administrative databases Emilia-Romagna (E-R) Veneto Analyses were carried out separately regions results pooled using random meta-analysis. Results There 27,140 subjects E-R 22,876 who included analysis. outputs showed an increase rates starting from month 2 (IRR = 1.68, 95% CI 1.56–1.81) with peak at 4 2.05, 1.95–2.15); continued reduced intensity up 15. Stratified analysis revealed that severe acute COVID-19 had higher (up IRR 3.96, 2.89–5.44), as well patients no comorbidities 2.71, 2.60–2.83). Conclusion Long-term include burden especially first months infection. increased demand for resources last years particular subgroups such admitted hospital during due presentation disease.

Язык: Английский

Процитировано

0

Wearable data reveals distinct characteristics of individuals with persistent symptoms after a SARS-CoV-2 infection DOI Creative Commons
Katharina Ledebur, Marc Wiedermann, Christian Puta

и другие.

npj Digital Medicine, Год журнала: 2025, Номер 8(1)

Опубликована: Март 19, 2025

Abstract Understanding the factors associated with persistent symptoms after SARS-CoV-2 infection is critical to improving long-term health outcomes. Using a wearable-derived behavioral and physiological dataset ( n = 20,815), we identified individuals characterized by self-reported fatigue shortness of breath infection. Compared symptom-free COVID-19 positive (n 150) negative controls 150), these 50) had higher resting heart rates (mean difference 2.37/1.49 bpm) lower daily step counts 3030/2909 steps fewer), even at least three weeks prior In addition, were significant reduction in mean quality life (WHO-5, EQ-5D), before Here show that may be pre-existing fitness levels or conditions. These findings additionally highlight potential wearable devices track dynamics provide valuable insights into outcomes infectious diseases.

Язык: Английский

Процитировано

0