Assessing COVID-19 Vaccine's Acceptability Amongst Health Care Workers in Oman: A cross-sectional study.

Background: COVID-19 vaccines are considered to be a vital tool in controlling the pandemic. Hesitation with COVID-19 immunization has been reported worldwide. The acceptability of the COVID-19 vaccine among health care workers (HCWs) is an important step in determining the success of any new vaccination program.

COVID-19 in the Gulf Cooperation Council Member States: An Evidence of Effective Response.

Objectives: The World Health Organization (WHO) published a global strategic response plan in February 2020 aiming to mitigate the impact of the novel coronavirus disease 2019 (COVID-19) outbreak. It identified immediate activities required for global preparedness and response to the outbreak and set eight priority areas (pillars) essential for scaling up countries' operational readiness and response. Despite a semi-annual progress report on implementing the Global Strategic Plan in June 2020, there is limited granular information available on the extent of the national plan's content and implementation, particularly in the Member States of the Gulf Cooperation Council (GCC).

Using Deep Learning Model for Adapting and Managing COVID-19 Pandemic Crisis.

The purpose of current paper is to create a smart and effective tool for telemedicine to early detect and diagnose COVID-19 disease and therefore help to manage Pandemic Crisis (MCPC) in Sultanate of Oman, as a tool for future pandemic containment. In this paper, we used tools to create robust models in real-time to support Telemedicine, it is Machine Learning (ML), Deep Learning (DL), Convolutional Neural Networks using Tensorflow (CNN-TF), and CNN Deployment. These models will assist telemedicine, 1) developing Automated Medical Immediate Diagnosis service (AMID).

Public Health Messages for Social Behavior Change in the Wake of COVID-19: A Qualitative Study.

Objectives: We sought to study the impact of public health messages on social and behavioral change among recovered patients and the general population in response to coronavirus-2019 (COVID-19) in Oman.

Methods: Four focus group discussions among recovered COVID-19 patients were organized and conducted via video conference to collect their insights on public health messages. Upon culmination of each discussion, we held debrief sessions with a particular focus on the responses and making notes of comments.

Image analysis of PVC / TiO nanocomposites SEM micrographs.

The present paper deals with image analysis of Scanning Electron Microscope (SEM) micrographs of PVC / TiO nanocomposites prepared through solution casting technique at different wt% of TiO nanofillers dispersed within the PVC matrix. The qualitative and quantitative dispersion of TiO nanofillers is estimated through the proposed algorithm based on global threshold obtained from Otsu's method. The PVC-TiO- PVC molecular region map and TiO nanofillers dispersion maps are obtained by background elimination technique with predefined threshold value and a global threshold value, respectively.

A Hypothetical Model to Predict Nursing Students' Perceptions of the Usefulness of Pre-Service Integrated Management of Childhood Illness Training.

Objectives: This study aimed to test a hypothetical model to predict nursing students' perceptions of the usefulness of pre-service Integrated Management of Childhood Illness (IMCI) training and their intention to apply this training in clinical practice.

Methods: This study was carried out at the Sur Nursing Institute, Sur, Oman, in May 2015. Using six predefined constructs, a hypothetical structural model was created.