PubMed COVID-19 Clinical Care

CONCLUSIONS: Coronavirus disease-2019 patients, in addition to medical support need psychosocial support for better health outcomes.

CONCLUSIONS: Perceived susceptibility, perceived seriousness, perceived benefits, perceived barriers and cues to action were found to affect a person's adherence with coronavirus disease-2019 protocols.

CONCLUSIONS: Pregnancy during the pandemic had an impact on the physical and mental health of women and turned into a terrifying experience. Health workers need to pay attention to the physical and psychological conditions of pregnant women

CONCLUSIONS: High levels in all domains of andragogy learning were found. Maintaining the factors that influence andragogy learning through online platforms is an important goal in today's virtual learning era.

CONCLUSIONS: The coronavirus disease-2019 led to decreased anxiety and increased spiritual wellbeing among the hypertensive elderly.

CONCLUSIONS: The lockdowns forced by the coronavirus disease-2019 pandemic had a moderate impact on the mental health of the participants, especially on females.

Policy Points Accurate and reliable data systems are critical for delivering the essential services and foundational capabilities of public health for a 21^(st) -century public health infrastructure. Chronic underfunding, workforce shortages, and

Policy Points The critical task of preparedness is inseparable from the regular work of advancing population health and health equity.

CONCLUSIONS: Despite studies predicting an increase in suicides based on past statistics of young people and of women, no significant changes were observed in this survey of the Hanshin-Awaji region, including Kobe. This may have been owing to the

While research into drug-target interaction (DTI) prediction is fairly mature, generalizability and interpretability are not always addressed in the existing works in this field. In this paper, we propose a deep learning (DL)-based framework, called