The COVID-19 pandemic has forced many countries from all over the world to adopt extreme measures to suppress the spread of the pandemic. These measures have triggered changes in air quality. Many studies showed an overall ...

This study investigated how the Coronavirus Disease 2019 (COVID-19) pandemic has affected the rate of healthcare-associated infections (HAIs). PubMed, Scopus and Google Scholar were searched to identify potentially eligible ...

Background: Infection prevention measures are the gold standard for preventing the spread of hospital-acquired infections (HAIs). COVID-19 pandemic caused major disruptions in infection prevention measures, and this has ...

There is inconclusive evidence whether pregnancy exacerbates COVID-19 symptoms or not, and scarce data from the Middle East and North Africa region. The aim of this study was to investigate the association between pregnancy ...

This is the sixth article in a series exploring interprofessional education during the COVID-19 pandemic. This article will focus on the considerations and adaptations made to assessing interprofessional education during ...

Aim The aim of this study was to evaluate patients' experiences with telehealth provision of obstetrics and gynecology care during the COVID-19 pandemic qualitatively. Design and setting In this study, a qualitative research ...

Purpose of Review: Periodontitis has been linked to various systemic diseases and conditions. Given their shared comorbidities, extensive research has been carried out to explore the link between periodontitis and COVID-19. ...

Background The COVID-19 pandemic has revealed the fragility of the global food system, sending shockwaves across countries' societies and economy. This has presented formidable challenges to sustaining a healthy and ...

Background: Good food safety practices are essential to minimizing foodborne diseases. The present study explored the food safety-related practices of residents during the COVID-19 pandemic in Southwest China and identified ...

In this paper we introduce ArCOV19-Rumors, an Arabic COVID-19 Twitter dataset for misinformation detection composed of tweets containing claims from 27th January till the end of April 2020. We collected 138 verified claims, ...