• COVID-19

This is the release related to our upcoming peer-reviewed age paper, where we use age-specific mobility data to estimate the epidemic in the USA by accounting for age-specific heterogeneity. You can directly get: the age-specific mortality data used in the paper here Crude estimates of the COVID-19 cases and mortality across common age strata here

Introduction COVID19 has raised concerns for resource allocation across various sectors of healthcare. At the frontlines, emergency departments are required to triage a wide range of acuity and non-specific symptomology. Methods This retrospective study aimed to pave the way for more concrete detection and triage of patients by analyzing symptomology, physical findings, diagnostic testing and relevant hospital course of the 458 suspected cases that initially presented to an academic level one trauma center emergency department between March and August 2020. A total of 202 COVID positive cases were analyzed. Results The most common symptoms were cough (70.63%), fatigue (77%), and shortness of breath (59%). There was a significantly higher percentage of abnormal chest imaging in inpatient groups compared to the ED discharge group (42.86% vs 79%, p < 0.01). Laboratory studies, especially markers of inflammation (CRP, ESR), markers of tissue damage (lactic acid, troponin), and markers of infection were markedly higher and above normal reference ranges in complicated cases (p < 0.01). While there is limited data on the sensitivity and specificity of the current nasopharyngeal PCR test, there was no permutation of symptoms, physical findings, diagnostic testing that was more sensitive than that of the current PCR test calculated at 66.1% in our cohort. Conclusion Laboratory studies that otherwise are more commonly conducted inpatient, including markers of inflammation, tissue damage, and infection, may be useful in disposition planning of ED patients in conjunction with clinical correlation of presentation and chest imaging.

The COVID-19 pandemic in Indonesia is part of the ongoing worldwide pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). It was confirmed to have spread to Indonesia on 2 March 2020, after a dance instructor and her mother tested positive for the virus. Both were infected from a Japanese national.[2][3] By 9 April, the pandemic had spread to all 34 provinces in the country as Gorontalo confirmed its first case, with Jakarta, East Java, and West Java being the worst-hit. The largest increase of new cases in a single day occurred on 10 June, when 1,241 cases were announced. On the same day, for the first time ever, there were more than 700 recoveries recorded and 17,000 samples tested just within a span of 24 hours. As of 10 June, Indonesia has reported 34,316 cases, the second highest in Southeast Asia, behind Singapore. In terms of death numbers, Indonesia ranks sixth in Asia with 1,959 deaths.[4] Review of data, however, indicated that the number of deaths may be much higher than what has been reported as those who died with acute COVID-19 symptoms but had not been confirmed or tested were not counted in the official death figure.[5] Indonesia has conducted 446,918 tests against its 273 million population so far, or around 1,635 tests per million, making it one of the worst testing rates in the world. As a comparison, it is lower than Mauritania which has only around 4.6 million population, yet has conducted 1,649 tests per million.[4] Instead of implementing a nationwide lockdown, the government has approved large-scale social restrictions (Indonesian: Pembatasan Sosial Berskala Besar, abbreviated as PSBB) and currently are in place for the entirety of three provinces alongside with another six regencies and cities. Some had ended their PSBB and starting to apply New Normal. https://twitter.com/i/events/1270853710529191937 https://twitter.com/i/events/1270855048365371394 https://twitter.com/i/events/1270782139777183744 covid19

This dataset contains the descriptions of 128 initiatives of the Italian computer science and engineer community against the COVID-19 pandemic, obtained from a survey carried out in May 2020, during the first pandemic wave in Italy, by the Covid19-IT Task Force established by CINI (National Interuniversity Consortium for Informatics).

A gestão de recursos humanos, associada a processos iniciais ou de aprofundamento de internacionalização de empresas, está cada vez mais presente nas agendas das empresas nacionais, em virtude da necessidade crescente de internacionalização da economia das empresas. Este estudo revê a literatura nacional e internacional sobre a gestão de recursos humanos na perspectiva da internacionalização, constituindo assim um contributo teórico para esta área de investigação. Além disso, apresenta os resultados de um trabalho empírico, com base em informação recolhida através de inquéritos por entrevistas semi estruturadas a expatriados angolanos no Reino Unido no sentido de perceber todo o processo de expatriação, dificuldades do mesmo nomeadamente tendo em conta a pandemia bem como o sucesso / insucesso da expatriação. Os resultados das entrevistas confirmaram que a ligação entre a expatriação e a internacionalização das empresas com objetivo de alargamento de mercado e a preferência pelo recurso a um processo interno com forte incidência na utilização do método de entrevistas, no recrutamento e seleção do expatriado, de forma a aproveitá-lo como mensageiro da cultura organizacional da empresa e de know-how específico para outros mercados. As principais razões que motivam os expatriados a aceitar um desafio deste género são: a família, a aposta na carreira, a aquisição de novas competências, pessoais e profissionais e o gosto por novos desafios. Deste estudo podemos concluir que uma boa internacionalização de uma organização depende principalmente do expatriado certo e da sua família. Por outro ladom também depende do objetivo traçado pela organização para o funcionário, os dois elementos devem estar em sintonia para que a estrátegia traçada seja alcançada com êxito para que a empresa continue a ter uma notoriedade no mercado onde estará inserida. Isto vai depender do desempenho do expatriado face à sua função, experiência e no processo de recrutamento e seleção do departamento de GRH. The management of human resources, associated with initial processes or the deepening of the internationalization of companies, is increasingly present on the agendas of national companies, due to the growing need for internationalization of the economy of companies. This study reviews the national and international literature on human resources management from the perspective of internationalization, thus constituting a theoretical contribution to this area of research. In addition, it presents the results of an empirical work, based on information collected through surveys by semi-structured interviews with Angolan expatriates in the United Kingdom in order to understand the entire expatriation process, difficulties of the same, namely taking into account the pandemic as well as the success/failure of expatriation. The results of the interviews confirmed that the link between expatriation and the internationalization of companies with the objective of expanding the market and the preference for using an internal process with a strong focus on the use of the interview method, in the recruitment and selection of the expatriate, of in order to take advantage of it as a messenger of the company's organizational culture and specific know-how for other markets. The main reasons that motivate expatriates to accept a challenge of this kind are: family, career commitment, acquisition of new personal and professional skills and a taste for new challenges. From this study we can deduce that for a good internationalization of an organization it mainly depends on the right expatriate and his family, it also depends a lot on the objective set by the organization for the employee, the two elements must be in tune, so that the strategy outlined is achieved with success for the company to continue in this market and to have notoriety in the market where it will be based, this will all depend on the expatriate's performance in relation to their role, experience and the recruitment and selection process of the HRM department.

Cross-sectional survey results from a COVID19 plane infection risk survey conducted between the 22nd to 23rd October, 2020. Participants (n = 2103) were aged 18 years or older, were living in the UK and had undertaken foreign air travel. The survey consisted of 18 closed-ended questions, with seventeen of the questions addressing issues associated with travelling by air and 11 questions addressing specific demographic topics. The questionnaire was designed by the research team, consisting of environmental microbiologists, public health specialists and social scientists, based on the study objectives and incorporating information from previous studies on same topic. The draft questionnaire was then tested on an expert panel, a panel of non-experts, a local ethics committee. First, perceived risks, concerns, and subjective knowledge of COVID-19 symptoms were measured using 16 options that included 14 actual symptoms and 2 which were not. Other questions about perception and risk were measured by statements with a 5-point Likert scale (e.g. strongly disagree to strongly agree).

The free database mapping COVID-19 treatment and vaccine development based on the global scientific research available at https://covid19-help.org/. The AI tool used for the database can process a huge amount of relevant academic outputs and find connections between the potential treatment and COVID-19. Findings from available scientific sources are manually checked by scientific experts, categorized, enriched with more information, and provided in a freely accessible database. As of March 1, 2021, there are 1,367 substances in the database of potential drugs and vaccines for COVID-19.

Automatización en python para el analisis diario de la evolución del COVID19 en España. En esta primera versión el notebook de Jupyter está preparado para leer directamente los datos más recientes de las webs del Ministerio de Sanidad y de la Universidad Johns Hopkins. Se procesan los datos y se preparan para su posterior análisis gráfico. Se presentan diferentes visualizaciones de la evolución de la enfermedad en España. Cuando sólo se utilizan datos de España se usa el dataset del Ministerio, cuando se compara la evolución con otros países se utiliza la información de la Johns Hopkins University. Se actualiza el git con un modelo basado en ARIMA para la predicción de la evolución de la enfermedad en España. PREDICCIÓN de la variación en la media movil semanal de fallecidos, según esta predicción de la evolución de la media movil el número de fallecidos a fecha 11/04/2020 sería 734, el 12/04/2020: 434 y el 13/04/2020: 582 Evolución de fallecidos en España a partir del primer día con 10 fallecidos acumulados Evolución de casos en España a partir del primer día con 10 fallecidos acumulados Evolución de pacientes recuperados en España a partir del primer día con 10 fallecidos acumulados ENLACE A GITHUB

This project focuses on the development and deployment of a real-time web-based Coronavirus disease 2019 (COVID-19) data hub managed by an interdisciplinary team of experts in data science, geoinformatics, epidemiology and geography. The team is collecting, analyzing, and disseminating data on the spatial and temporal dynamics of the COVID-19 pandemic in the Arctic. Both datasets and analyses of spatiotemporal trends at the subregional level will be made available to stakeholders including Arctic residents, researchers, and policymakers. Pandemic data are be contextualized through the collection of first-person accounts of the COVID-19 experience in Arctic communities. The team is also developing geovisualization tools and analyze datasets to address urgent questions related to the spread and geography of COVID-19 in the Arctic, assessing containment and mitigation policies and evaluating whether case fatality rates are affected by environmental, socioeconomic, and/or geographic variables. Long-term curation of Arctic COVID-19 data and data products will ensure availability for future analysis, historical study and policy consideration. This project is supported by NSF Award #2034886.