Additionally, other studies have suggested that immunological changes during pregnancy may be the cause of maternal vulnerability to the virus and may significantly affect the immune response against SARS-CoV-2. This was explained by the younger age of the pregnant women without associated comorbidities, compared to older patients in whom related comorbidities were present. reported that the mortality rate caused by SARS-CoV-2 infection in pregnant and postpartum women was 1.3%, and the rate of severe pneumonia was reported to be between 1% and 14% therefore, maternal death was in agreement with studies reported for other severe lower respiratory tract viral infections, but other studies supported the mortality rate of pregnant women infected with SARS-CoV-2 being similar to non-pregnant women of reproductive age. Multiple studies with different approaches have been carried out to understand the impact of COVID-19 on the maternal–fetal binomial. Still, there is concern that current medical practice suffers from fewer resources, restrictions and population fear with respect to the provision of health care services. They exchanged information and data to better understand the physiopathology, epidemiology, and clinical implications of this problem, with the common goal of developing vaccines and mitigation strategies, and designing appropriate therapies. The researchers responded to this pathology with a high level of transparency. Most of the registered cases were associated with mild or even absent symptoms, but the infection, in some cases, led to severe respiratory diseases and even multiorgan failure, especially in people with comorbidities. The public health response to the pandemic was to minimize the viral spread by imposing restrictions, preventing the overloading of the healthcare system, and by purchasing medical supplies for protection. By 11 November 2022, this virus had infected over 634 million patients, and 6.6 million were confirmed dead, making this virus one of the deadliest in history. A large number of deaths were caused worldwide by the pandemic. The World Health Organization (WHO) declared the outbreak on 30 January 2020, a public health emergency of international concern, and on 11 March 2020, it was stated a pandemic. This virus was initially identified from an outbreak in Wuhan, China, in December 2019, with the ability to spread rapidly in Asia and later worldwide. The coronavirus pandemic, or the COVID-19 pandemic, is a global health problem caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Retrieved from Īuthor(s): Maria-Loredana ?ieranu Nicoleta Alice Dragoescu George-Lucian Zorila (corresponding author) Anca-Maria Istrate-Ofi?eru (corresponding author) Catalina Ramescu Elena-Iuliana-Anamaria Berbecaru Roxana Cristina Dragusin Rodica Daniela Nagy Razvan Grigora? Capitanescu (corresponding author) Dominic-Gabriel Iliescu APA style: Addressing Chronic Gynecological Diseases in the SARS-CoV-2 Pandemic.Addressing Chronic Gynecological Diseases in the SARS-CoV-2 Pandemic." Retrieved from MLA style: "Addressing Chronic Gynecological Diseases in the SARS-CoV-2 Pandemic." The Free Library.I am originally from Tucumán, a small province in the north of Argentina. I received my undergraduate degree in Economics at Universidad Nacional de Tucumán in Argentina, and my masters degree in Economics and Finance at CEMFI in Madrid, Spain. I also developed a pre-college course in econometrics for summer school at Brown at an AP Statistics level. Until recently, I was also the co-coordinator of our QSR Seminars and (virtual) Brown Bags series.ĭuring my time at Brown University, I was a teaching assistant for financial econometrics among other econometric courses, at both graduate and undergraduate levels. My supervisory experience includes model development and forecasting under stress conditions, as well as examination from participation in the CCAR program. I was part of the Federal Reserve System stress testing program until June 2022. On the supervisory side, I currently lead an innovation project that leverages NLP methods and mapping techniques. Many of my current research projects focus on financial networks estimation and, more recently, at the intersection with NLP methods. I am particularly interested in applied econometrics and econometric methodology for time series. My research interests lie in the areas of time series analysis, financial econometrics, and financial networks. Before joining the Richmond Fed in 2016, I completed my Ph.D. I am a M anager Financial Economist in the Quantitative Supervision & Research (QSR) group of the Federal Reserve Bank of Richmond.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |