COVID-19 impact on gender-based violence among women in South Africa during lockdown: A narrative review
COVID-19, first detected in Wuhan, China, in December 2019, was declared a global
pandemic by the WHO following the rapid spread of cases worldwide. The pandemic …
pandemic by the WHO following the rapid spread of cases worldwide. The pandemic …
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
Objective To create and validate a simple and transferable machine learning model from
electronic health record data to accurately predict clinical deterioration in patients with covid …
electronic health record data to accurately predict clinical deterioration in patients with covid …
[HTML][HTML] SARS-CoV-2 Omicron variant escapes neutralizing antibodies and T cell responses more efficiently than other variants in mild COVID-19 convalescents
Summary Coronavirus disease 2019 (COVID-19) convalescents living in regions with low
vaccination rates rely on post-infection immunity for protection against re-infection with …
vaccination rates rely on post-infection immunity for protection against re-infection with …
[HTML][HTML] Comparison of side effects of COVID-19 vaccines: sinopharm, astraZeneca, sputnik V, and covaxin in women in terms of menstruation disturbances, hirsutism …
A Abdollahi, I Naseh, F Kalroozi… - … journal of fertility & …, 2022 - ncbi.nlm.nih.gov
Background: Present study assessed whether Sinopharm, AstraZeneca, Sputnik V, and
Covaxin's vaccinated women reveal a distinct incidence of menstruation disturbances …
Covaxin's vaccinated women reveal a distinct incidence of menstruation disturbances …
[HTML][HTML] Zambia's response to the COVID-19 pandemic: exploring lessons, challenges and implications for future policies and strategies
The coronavirus disease 2019 (COVID-19) pandemic is a global public health problem that
has affected the globe in different ways. There is little information published on the …
has affected the globe in different ways. There is little information published on the …
COVID-19 severity is associated with population-level gut microbiome variations
E Lymberopoulos, GI Gentili, S Budhdeo… - Frontiers in Cellular …, 2022 - frontiersin.org
The human gut microbiome interacts with many diseases, with recent small studies
suggesting a link with COVID-19 severity. Exploring this association at the population-level …
suggesting a link with COVID-19 severity. Exploring this association at the population-level …
COVID-19 vaccine uptake and associated factors among adolescents and youths: Findings and implications for future vaccination programmes
Adolescents and youths are a key part of the population that needs to be protected against
the coronavirus disease 2019 (COVID-19). This is because they are more likely to spread …
the coronavirus disease 2019 (COVID-19). This is because they are more likely to spread …
[HTML][HTML] Prevalence of self-medication and associated factors among healthcare students during the COVID-19 pandemic: a cross-sectional study at the University of …
Background: The global effects of COVID-19 on individuals worsened the problem of self-
medication (SM), a driver of antimicrobial resistance (AMR). In Zambia, there is little …
medication (SM), a driver of antimicrobial resistance (AMR). In Zambia, there is little …
Optimal COVID-19 lockdown strategies in an age-structured SEIR model of Northern Ireland
GM Abernethy, DH Glass - Journal of The Royal Society …, 2022 - royalsocietypublishing.org
An age-structured SEIR model simulates the propagation of COVID-19 in the population of
Northern Ireland. It is used to identify optimal timings of short-term lockdowns that enable …
Northern Ireland. It is used to identify optimal timings of short-term lockdowns that enable …
[HTML][HTML] Navigating the machine learning pipeline: a scoping review of inpatient delirium prediction models
T Strating, LS Hanjani, I Tornvall… - BMJ health & care …, 2023 - ncbi.nlm.nih.gov
Objectives Early identification of inpatients at risk of developing delirium and implementing
preventive measures could avoid up to 40% of delirium cases. Machine learning (ML)-based …
preventive measures could avoid up to 40% of delirium cases. Machine learning (ML)-based …