Query: covid 19 

title: The COVID 19 epidemic
abstract: The current outbreak of the novel coronavirus Covid 19 (coronavirus disease 2019; previously 2019 nCoV) epi centered in Hubei Province of the People's Republic of China, has spread to many other countries. On January 30, 2020, the WHO Emergency Committee declared a global health emergency based on growing case notification rates at Chinese and international locations. The case detection rate is changing hourly and daily and can be tracked in almost real time on website provided by Johns Hopkins University  and other websites. As of early February 2020, China bears the large burden of morbidity and mortality, whereas the incidence in other Asian countries, in Europe and North America remains low so far.

title: COVID 19 and Italy: what next?
abstract: The spread of severe acute respiratory syndrome coronavirus 2 (SARS CoV 2) has already taken on pandemic proportions, affecting over 100 countries in a matter of weeks. A global response to prepare health systems worldwide is imperative. Although containment measures in China have reduced new cases by more than 90% this reduction is not the case elsewhere, and Italy has been particularly affected. There is now grave concern regarding the Italian national health system's capacity to effectively respond to the needs of patients who are infected and require intensive care for SARS CoV 2 pneumonia. The percentage of patients in intensive care reported daily in Italy between March 1 and March 11, 2020, has consistently been between 9% and 11% of patients who are actively infected. The number of patients infected since Feb 21 in Italy closely follows an exponential trend. If this trend continues for 1 more week, there will be 30 000 infected patients. Intensive care units will then be at maximum capacity; up to 4000 hospital beds will be needed by mid April, 2020. Our analysis might help political leaders and health authorities to allocate enough resources, including personnel, beds, and intensive care facilities, to manage the situation in the next few days and weeks. If the Italian outbreak follows a similar trend as in Hubei province, China, the number of newly infected patients could start to decrease within 3 4 days, departing from the exponential trend. However, this cannot currently be predicted because of differences between social distancing measures and the capacity to quickly build dedicated facilities in China.

title: Chest Imaging Appearance of COVID 19 Infection
abstract: Coronavirus disease 2019 (COVID 19) (previously known as novel coronavirus [2019 nCoV] first reported in China, has now been declared a global health emergency by the World Health Organization. As confirmed cases are being reported in several countries from all over the world, it becomes important for all radiologists to be aware of the imaging spectrum of the disease and contribute to effective surveillance and response measures. (c) RSNA, 2020 See editorial by Kay and Abbara in this issue.

title: The COVID 19 social media infodemic
abstract: We address the diffusion of information about the COVID 19 with a massive data analysis on Twitter, Instagram, YouTube, Reddit and Gab. We analyze engagement and interest in the COVID 19 topic and provide a differential assessment on the evolution of the discourse on a global scale for each platform and their users. We fit information spreading with epidemic models characterizing the basic reproduction number \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin} 69pt} \begin{document}$R_0$\end{document}R0 for each social media platform. Moreover, we identify information spreading from questionable sources, finding different volumes of misinformation in each platform. However, information from both reliable and questionable sources do not present different spreading patterns. Finally, we provide platform dependent numerical estimates of rumors' amplification.

title: Fractal kinetics of COVID 19 pandemic
abstract: We give an update to the original paper posted on 2/17/20 now (as of 3/1/20) the China deaths are rapidly decreasing, and we find an exponential decline to the power law similar to the that predicted by the network model of \citet{vazquez_polynomial_2006} At the same time, we see non China deaths increasing rapidly, and similar to the early behavior of the China statistics. Thus, we see three stages of the spread of the disease in terms of number of deaths: exponential growth, power law behavior, and then exponential decline in the daily rate.  The novel coronavirus (COVID 19) continues to grow rapidly in China and is spreading in other parts of the world. The classic epidemiological approach in studying this growth is to quantify a reproduction number and infection time, and this is the approach followed by many studies on the epidemiology of this disease. However, this assumption leads to exponential growth, and while the growth rate is high, it is not following exponential behavior. One approach that is being used is to simply keep adjusting the reproduction number to match the dynamics. Other approaches use rate equations such as the SEIR and logistical models. Here we show that the current growth closely follows power law kinetics, indicative of an underlying fractal or small world network of connections between susceptible and infected individuals. Positive deviations from this growth law might indicate either a failure of the current containment efforts while negative deviations might indicate the beginnings of the end of the pandemic. We cannot predict the ultimate extent of the pandemic but can get an estimate of the growth of the disease.

title: Novel coronavirus (COVID 19)
abstract: Advice for staff and students planning to travel to, or currently travelling through China.

title: COVID 19 (Coronavirus)
abstract: This strain of coronavirus is a new one and scientists do not yet know all there is to know about it. While these common sense points will always be helpful, it is important that you keep up to date with the advice being given by the Centers for Disease Control and Prevention (CDC) and NHS England and how it might affect you personally. These suggestions have been produced using the most up to date advice available to us from our Scientific and Medical Advisors and are not intended to replace or supersede advice you may have been given from your health care professional.

title: COVID 19 Epidemic Editorial
abstract: COVID 19 is a novel form of coronavirus which has spread from its initial identification in Wuhan, China, and has been declared a pandemic by the World Health Organisation (WHO)  Coronaviruses are a large family of viruses that cause illnesses ranging from the common cold to more severe diseases such as Middle East Respiratory Syndrome (MERSCoV) and Severe Acute Respiratory Syndrome (SARS CoV) Coronaviruses are zoonotic, meaning they are transmitted between animals and people. Several known coronaviruses are circulating in animals that have not yet infected humans  but it appears that COVID 19 has crossed species from bats to snakes  and pangolins then to humans, initially via the live animal 'wet markets' of Wuhan

title: Covid 19 Wuhan
abstract: Coronaviruses are an incredibly diverse family of viruses, found in many animal species, and are commonly encountered in clinical practice during the cold and flu season. We often encounter the common coronaviruses (HKU1, NL63, 229E and OC43) in our surveillance and epidemiological studies in schools, clinics and long term care settings.

title: COVID 19: Weekly Update
abstract: Dear Readers,The 2019 novel coronavirus epidemic that has emerged from Wuhan, China, appears to have the potential to have a major health impact on a