Coronavirus Disease 2019

Elsevier,

The Lancet Digital Health, Volume 3, March 2021

This Comment supports SDGs 3 and 10 by highlighting the role of data scientists in challenging racism and discrimination. The Comment highlights how structural inequalities in society are easily encoded in datasets and in the application of data science, which can reinforce existing injustices.
The nature of armed conflict throughout the world is intensely dynamic. Consequently, the protection of non-combatants and the provision of humanitarian services must continually adapt to this changing conflict environment. Complex political affiliations, the systematic use of explosive weapons and sexual violence, and the use of new communication technology, including social media, have created new challenges for humanitarian actors in negotiating access to affected populations and security for their own personnel.
An Editorial in support of SDGs 3, 9, and 13, focusing specifically on how to apply the lessons learned in public health during the COVID-19 pandemic to an equitable and sustainable recovery from the climate crisis.
This study was conducted to assess the self-reported and observed food safety practices (FSP) of food handlers, who deliver food products that are prepared and cooked at home during the COVID-19 pandemic in the Philippines. 751 participated in the online survey who were selected using criterion sampling. A questionnaire developed by the researcher was used to gather data with Cronbach Alpha of 0.91. t-test, ANOVA, and Fleiss kappa were performed to treat data.
The COVID-19 pandemic has dramatically altered the professional and personal lives of radiologists and radiation oncologists. This article summarizes the 2020 American Association for Women in Radiology (AAWR) Women's Caucus at the American College of Radiology (ACR) Annual Meeting. The caucus focused on the major challenges that women in radiology have faced during the pandemic.
Background: Patients from ethnic minority groups are disproportionately affected by Coronavirus disease (COVID-19). We performed a systematic review and meta-analysis to explore the relationship between ethnicity and clinical outcomes in COVID-19. Methods: Databases (MEDLINE, EMBASE, PROSPERO, Cochrane library and MedRxiv) were searched up to 31st August 2020, for studies reporting COVID-19 data disaggregated by ethnicity. Outcomes were: risk of infection; intensive therapy unit (ITU) admission and death. PROSPERO ID: 180654.
Background: Coronovirus disease 2019 (COVID-19) first broke out in Wuhan, Hubei Province, China, in 2019, and now it spreads in more than 100 countries around the world. On January 30th, the World Health Organization (WHO) declared COVID-19 a public health emergency of international concern. It was classified as a pandemic by the WHO on March 11, 2020. With the increase in the number of cases reported by various countries every day, the COVID-19 pandemic has attracted more and more attention around the world.

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