Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID‐19
Background COVID‐19 illness is highly variable, ranging from infection with no symptoms
through to pneumonia and life‐threatening consequences. Symptoms such as fever, cough …
through to pneumonia and life‐threatening consequences. Symptoms such as fever, cough …
The association of smoking status with SARS‐CoV‐2 infection, hospitalization and mortality from COVID‐19: a living rapid evidence review with Bayesian meta …
Aims To estimate the association of smoking status with rates of (i) infection,(ii)
hospitalization,(iii) disease severity and (iv) mortality from SARS‐CoV‐2/COVID‐19 disease …
hospitalization,(iii) disease severity and (iv) mortality from SARS‐CoV‐2/COVID‐19 disease …
Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Abstract The coronavirus (COVID-19) is currently the most common contagious disease
which is prevalent all over the world. The main challenge of this disease is the primary …
which is prevalent all over the world. The main challenge of this disease is the primary …
[HTML][HTML] Prognostic factors for mortality, intensive care unit and hospital admission due to SARS-CoV-2: a systematic review and meta-analysis of cohort studies in …
CI Vardavas, AG Mathioudakis… - European …, 2022 - Eur Respiratory Soc
Background As mortality from coronavirus disease 2019 (COVID-19) is strongly age-
dependent, we aimed to identify population subgroups at an elevated risk for adverse …
dependent, we aimed to identify population subgroups at an elevated risk for adverse …
[HTML][HTML] Time series forecasting of new cases and new deaths rate for COVID-19 using deep learning methods
The first known case of Coronavirus disease 2019 (COVID-19) was identified in December
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …
2019. It has spread worldwide, leading to an ongoing pandemic, imposed restrictions and …
Mia-cov19d: Covid-19 detection through 3-d chest ct image analysis
Early and reliable COVID-19 diagnosis based on chest 3-D CT scans can assist medical
specialists in vital circumstances. Deep learning methodologies constitute a main approach …
specialists in vital circumstances. Deep learning methodologies constitute a main approach …
[HTML][HTML] Combining a convolutional neural network with autoencoders to predict the survival chance of COVID-19 patients
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
is highly desired. Convolutional neural networks (CNNs) have shown outstanding …
Bidirectional causal associations between type 2 diabetes and COVID‐19
H Cao, A Baranova, X Wei, C Wang… - Journal of Medical …, 2023 - Wiley Online Library
Observational studies have reported high comorbidity between type 2 diabetes (T2D) and
severe COVID‐19. However, the causality between T2D and COVID‐19 has yet to be …
severe COVID‐19. However, the causality between T2D and COVID‐19 has yet to be …
Asthma in adult patients with COVID-19. Prevalence and risk of severe disease
Rationale: Health outcomes of people with coronavirus disease (COVID-19) range from no
symptoms to severe illness and death. Asthma, a common chronic lung disease, has been …
symptoms to severe illness and death. Asthma, a common chronic lung disease, has been …