Search results for "Outbreak"
showing 10 items of 812 documents
COVID-19 Infection in Cancer Patients: How Can Oncologists Deal With These Patients?
2020
The world is facing a new pandemic caused by a novel beta coronavirus (COVID 19), which causes severe respiratory coronavirus syndrome (SARS-CoV-2). Unfortunately, there are currently no US Food and Drug Administration (FDA) approved medications for the treatment of COVID-19 patients. High mortality rates in frail patients is a notable feature of the virus registered since the onset of COVID-19 pandemic. Above all, elderly patients or those with underlying chronic illnesses and compromised immune system are most at risk (1). Thus, the consideration is that the possible coexistence, in the same individual, of a cancer diagnosis and a COVID-19 infection could generate a synergistic negative p…
How can we support COVID-19 survivors? Five lessons from long-term cancer survival.
2021
Does Longer Leukocyte Telomere Length and Higher Physical Fitness Protect Master Athletes From Consequences of Coronavirus (SARS-CoV-2) Infection?
2020
Breast Cancer Diagnosis in Coronavirus-Era: Alert From Italy
2020
Regime Type and COVID-19 Response
2020
From late 2019 to the first half of 2020, the world has witnessed the epic spread and destruction of the novel coronavirus which was discovered in Wuhan, China. The huge number of infections and deaths caused by the virus, the collapse of the healthcare system and the economic consequences have few modern equivalents. While governments of all countries are responding to the pandemic, a heated debate rages about which political system, democracy versus authoritarian, is better positioned to respond to the pandemic. While the worldwide effort to contain the virus continues, we offer a preliminary comparison between democracies and authoritarian regimes in their responses to COVID-19, and pol…
Suddenly Working From Home!
2022
Abstract. The Corona crisis and the lockdown in the spring of 2020 had various effects on working life in Europe. In this three-wave study, we assessed the trajectories of job demands and resources of 302 employees 2 weeks before the lockdown, over 1 week after lockdown start, and 6 weeks following the beginning of the lockdown. We applied a pre-post follow-up design with 129 employees who switched to telecommuting and a control group of 173 employees who remained in their on-site workplace. Results from the repeated-measures MANCOVA indicate that, despite various general changes to job characteristics because of the Corona crisis, telecommuting changes contributed to significant changes on…
Contingency Plan for the Intensive Care Services for the COVID-19 pandemic
2020
In January 2020, the Chinese authorities identified a new virus of the Coronaviridae family as the cause of several cases of pneumonia of unknown aetiology. The outbreak was initially confined to Wuhan City, but then spread outside Chinese borders. On 31 January 2020, the first case was declared in Spain. On 11 March 2020, The World Health Organization (WHO) declared the coronavirus outbreak a pandemic. On 16 March 2020, there were 139 countries affected. In this situation, the Scientific Societies SEMICYUC and SEEIUC, have decided to draw up this Contingency Plan to guide the response of the Intensive Care Services. The objectives of this plan are to estimate the magnitude of the problem a…
Public Transport Passenger Count Forecasting in Pandemic Scenarios Using Regression Tsetlin Machine. Case Study of Agder, Norway
2021
Challenged by the effects of the COVID-19 pandemic, public transport is suffering from low ridership and staggering economic losses. One of the factors which triggered such losses was the lack of preparedness among governments and public transport providers. The losses can be minimized if the passenger count can be predicted with a higher accuracy and the public transport provision adapted to the demand in real time. The present paper explores the use of a novel machine learning algorithm, namely Regression Tsetlin Machine, in using historical passenger transport data from the current COVID-19 pandemic and pre-pandemic period, combined with a calendar of pandemic-related events (e.g. daily …
140 Characteristics and Patterns of Care of Endometrial Cancer before and during COVID-19 pandemic
2021
Introduction/Background* COVID-19 outbreak has correlated with the disruption of screening activities and diagnostic assessments. The risk of delayed diagnosis has consequently increased during the pandemic. Endometrial cancer (EC) is one of the most common gynecological malignancies and it is often detected at an early stage, because it frequently produces symptoms. Here, we aim to investigate the impact of COVID-19 outbreak on patterns of presentation and treatment of EC patients. Methodology This is a retrospective study involving 54 centers in Italy. We evaluated patterns of presentation and treatment of EC patients before (period 1: 03/01/2019 – 02/29/2020) and during (period 2: 01/04/…
Evaluation of a rapid antigen detection test (Panbio™ COVID‐19 Ag Rapid Test Device) as a point‐of‐care diagnostic tool for COVID‐19 in a pediatric e…
2021
Abstract We evaluated the Panbio™ COVID‐19 Ag Rapid Test Device as a point‐of‐care diagnostic tool for COVID‐19 in 357 patients at a pediatric emergency department. Thirty‐four patients tested positive by reverse transcription polymerase chain reaction, of which 24 were positive by the antigen assay. The sensitivity and specificity of the assay were 70.5% and 100%, respectively.