Introduction: The Covid-19 pandemic brought many changes in people routine, modifying the diet pattern. The interindividual food intake changes due the week, resulting in a positive energy balance. ...Objective: Analyze potential changes in the diet pattern between week and weekend during the Covid-19 pandemic. Materials and Methods: This was a descriptive cross-sectional survey, whose data were collected online from May/2020 and July/2020, from a structured questionnaire, two 24h records (one of a weekday and another of a weekend day) and the AUDIT questionnaire to verify the alcohol consumption, send to young adults, of both sexes, between 18th and 29th years old. The Health Eating Index 2015-2020 (USDA, 2015) was used for the qualitative analysis. This Project was approved by the ethics and research council of the UNIMEP, under the CAAE number 33081220.5.0000.5507. Results: The research indicated that there is a similarity of the groups consumption evaluated by the Health Eating Index 2015-2020 (USDA, 2015), regardless of weekday and sex; except for role cereals consumption (p=0,046) and meat, leguminous and eggs (p=0,024), whose consumption among men was significantly higher than women. The interviewed did not present risk consumption for alcoholic beverages. Conclusion: There was no changes in the diet pattern of young adults from 18th to 29th years old, between week and weekend; as well as the risk of alcohol consumption was abstinent or low, during the Covid-19 pandemic.
Introduzione: La pandemia di Covid-19 ha portato diversi cambiamenti di routine, alterando i modelli dietetici. L'assunzione di cibo interindividuale cambia durante la settimana, determinando un bilancio energetico positivo. Obiettivo: analizzare i possibili cambiamenti nei modelli dietetici tra i giorni della settimana durante il periodo della pandemia di Covid-19. Materiali e Metodi: Si tratta di una ricerca trasversale descrittiva, i cui dati sono stati raccolti online, tra maggio/2020 e luglio/2020, utilizzando un questionario strutturato e due richiami di 24 ore (uno riferito al consumo durante la settimana e un altro nel fine settimana), oltre all'applicazione del Questionario di Audit per la verifica del consumo di alcol, inviato ai giovani, di ambo i sessi, di età compresa tra i 18 ei 29 anni. L'indice di alimentazione sana 2015-2020 (USDA 2015) è stato utilizzato per l'analisi qualitativa. Il progetto è stato approvato dal CEP dell'UNIMEP, con il numero CAAE 33081220.5.0000.5507. Risultati: La ricerca ha indicato che c'era una somiglianza nel consumo dei gruppi di alimenti valutati dall'indice di alimentazione sana (IAS-2015-2020), indipendentemente dal giorno della settimana e dal sesso; ad eccezione del consumo di cereali integrali (p=0,046) e di carni, legumi e uova (p=0,024), il cui consumo tra gli uomini era significativamente più alto che tra le donne. Tuttavia, gli intervistati non hanno presentato un consumo a rischio per il consumo di bevande alcoliche. Conclusione: non vi è stato alcun cambiamento nel modello alimentare dei giovani di età compresa tra i 18 ei 29 anni, tra il fine settimana e durante la settimana; così come il rischio di consumo di alcol è stato astemio o basso, durante la pandemia di Covid-19.
Introdução: A pandemia do Covid-19 trouxe diversas mudanças de rotina alterando padrões alimentares. A ingestão alimentar interindividual sofre alterações ao longo da semana, resultado em balanço energético positivo. Objetivo: Analisar possíveis alterações em padrões alimentares entre os dias da semana durante o período da Pandemia do Covid-19. Materiais e Métodos: Tratou-se de uma pesquisa transversal descritiva, cujos dados foram coletados de forma on-line, entre os meses de maio/2020 e julho/2020, a partir de um questionário estruturado e dois recordatórios de 24h (um referente ao consumo durante a semana, e outro, a final de semana), além da aplicação do questionário Audit para verificar o consumo de álcool, enviado para jovens, de ambos os sexos, entre 18 e 29 anos. O Índice de Alimentação Saudável 2015-2020 (USDA 2015) foi utilizado para análise qualitativa. O projeto foi aprovado pelo CEP da UNIMEP, sob o CAAE número 33081220.5.0000.5507. Resultados: A pesquisa indicou que existiu similaridade de consumo dos grupos alimentares avaliados pelo Índice de Alimentação Saudável (IAS-2015-2020), independente do dia da semana, e do sexo; exceto para o consumo de cereais integrais (p=0,046) e carnes, leguminosas e ovos (p=0,024), cujo consumo entre os homens foi significativamente maior que as mulheres. Mas, os entrevistados não apresentaram consumo de risco para a ingestão de bebidas alcoólicas. Conclusão: Não houve alteração do padrão alimentar de jovens de 18 e 29 anos, entre o final de semana e durante a semana; assim como o risco de consumo de álcool foi abstêmico ou baixo, durante a Pandemia de Covid-19.
Introducción: La pandemia de Covid-19 trajo varios cambios en la rutina, alterando los patrones alimentarios. La ingesta de alimentos interindividual cambia a lo largo de la semana, lo que resulta en un balance energético positivo. Objetivo: Analizar posibles cambios en los patrones dietéticos entre los días de la semana durante el período de Pandemia de Covid-19. Materiales y Métodos: Se trata de una investigación descriptiva transversal, cuyos datos fueron recolectados en línea, entre mayo/2020 y julio/2020, utilizando un cuestionario estructurado y dos recordatorios de 24 horas (uno referente al consumo durante la semana, y otro el fin de semana), además de la aplicación del cuestionario de Auditoría para verificar el consumo de alcohol, enviado a jóvenes, de ambos sexos, entre 18 y 29 años. Para el análisis cualitativo se utilizó el Índice de Alimentación Saludable 2015-2020 (USDA 2015). El proyecto fue aprobado por el CEP de UNIMEP, bajo el número CAAE 33081220.5.0000.5507. Resultados: La investigación indicó que hubo similitud en el consumo de los grupos de alimentos evaluados por el Índice de Alimentación Saludable (IAS-2015-2020), independientemente del día de la semana y género; excepto el consumo de cereales integrales (p=0,046) y carnes, legumbres y huevos (p=0,024), cuyo consumo entre los hombres fue significativamente mayor que entre las mujeres. Sin embargo, los entrevistados no presentaron consumo de riesgo por el consumo de bebidas alcohólicas. Conclusión: No hubo cambio en el patrón dietético de los jóvenes de 18 a 29 años, entre el fin de semana y entre semana; así como el riesgo de consumo de alcohol fue abstemio o bajo, durante la Pandemia del Covid-19.
Public opinion in the economic profession is strongly preoccupied with the expected negative economic effects of the coronavirus epidemic. Among the consequences, special attention is paid to the ...increase in the gross debt of the states. Indeed, based on conventional economic knowledge, it is clear to everyone that the economic downturn and the increase in government sector expenditure will directly lead to a sharp rise in government debt. The study aims to predict an increase in China’s government debt ratio using a macroeconomic model. The study will quantify the rate of increase in China’s public debt based on four theoretically possible scenarios for the course of the coronavirus epidemic. I am aware that it is difficult to apply conventional economic knowledge to China’s state-capitalist system. This is explained by the fact that the theories of the socialist economic model do not apply to China either. At the same time, the functioning of China's economy is closer to that of market-based economies, but the country's structure as a whole cannot be integrated into this framework either. But models describing the economic development of developing national economies cannot be applied to the country either. Nonetheless, I attempt to use conventional economic economics to attempt to quantify the impact of the coronavirus epidemic on China’s sovereign debt ratio. China’s public debt growth rates calculated under different outbreak scenarios are different, but none show an increase that would call into question the financing of China’s public debt.
From February 2020 the new coronavirus epidemic （COVID-19） spread across Japan. On April 17 a countrywide state of emergency was declared, which was then lifted on May 25. The objective of this ...research was to consider the circumstances of two groups of people during the period until the state of emergency was lifted: those who refrained from utilising social services （non-users） and those who did utilise them （users）. The effects of social disengagement on physical health, depressive tendencies, and the decline of cognitive functions was assessed.
A jelenkori európai társadalmi-gazdasági berendezkedés számára ismeretlen válsághelyzet, a 2020 tavaszára Magyarországra is begyűrűző koronavírus-járvány a világ minden táján azonos gyökerekre ...vezethető vissza, azonban helyi és regionális sajátosságokkal fűszerezett kihívások elé állította a társadalmakat és a döntéshozókat. Ezek egy társadalmigazdasági funkcióit és környezeti adottságait tekintve többé-kevésbé természetes körzetben könnyen kutathatók és modellezhetők. A Balaton Kiemelt Üdülőkörzet kiemelt funkcionális térségként vészelte át a járvány magyarországi első hullámát. A járvány településeket érintő hatásairól statisztikai adataink csak nagyon korlátozott mértékben állnak rendelkezésre, ezért a szerteágazó hatások megismerése érdekében feltáró jellegű terepi kutatásra volt szükség. A járványhelyzetben különös szerep hárult az önkormányzatokra, hiszen a helyi társadalmi válság elhárításáért végzett többletfeladataikon túl költségvetési elvonások is sújtották őket. A szerzők az üdülőkörzet településeinek polgármestereivel mint a helyi szintű válságkezelés kiemelt szereplőivel - az első két járványhullám között - személyes beszélgetésen alapuló kérdőíves felmérést készítettek, melynek főbb eredményeit ismertetik tanulmányukban. Az üdülőkörzet sajátosságainak feltárásán túlmenően a vizsgálat jelentőségét az adja, hogy a válsághelyzet kezelésének részletes ismerete és belőle levonható tanulságok hozzájárulhatnak a jövőben potenciálisan bekövetkező ökológiai gyökerű válságok menedzseléséhez.
The COVID-19 pandemic has had a severe impact on humans' lives and and healthcare systems worldwide. How to early, fastly and accurately diagnose infected patients via multimodal learning is now a ...research focus. The central challenges in this task mainly lie on multi-modal data representation and multi-modal feature fusion. To solve such challenges, we propose a medical knowledge enriched multi-modal sequence to sequence learning model, termed MedSeq2Seq. The key components include two attention mechanisms, viz. intra-modal (I a ) and inter-model (I e ) attentions, and a medical knowledge augmentation mechanism. The former two mechanisms are to learn multi-modal refined representation, while the latter aims to incorporate external medical knowledge into the proposed model. The experimental results show the effectiveness of the proposed MedSeq2Seq framework over state-of-the-art baselines with a significant improvement of 1%-2%.
With the full arrival of the digital era, fueled by both information technology and business marketing, rumors are produced and spread endlessly on social networks. During the recent novel ...coronavirus pneumonia epidemic, online rumors have continued to flourish. Most existing studies on traditional rumor detection rely on a large number of features in practical applications. However, the current severe epidemic scenarios have limited rumor information features, and it remains a challenging problem to detect epidemic rumors with high accuracy using only limited information. As a result, we propose a novel Few-shot Rumor Detection model (FRD) for the novel coronavirus pneumonia, which is combined with meta-learning to be able to accurately identify rumors as soon as possible in crises. Specifically, we started by using the BERT+BiLSTM combination for rumor text feature extraction and representation to generate the historical rumor sample-wise vector and epidemic rumor sample-wise vector; secondly, the prototypical network was introduced to summarize the historical rumor data, and the feature vectors of samples belonging to the same category were averaged to obtain the prototype representation of historical rumor category; finally, we utilize the modified cosine similarity measure function to calculate the distance between the class-wise vector of historical rumor text and the sample-wise vector of epidemic rumor, and complete the rumor detection according to the nearest neighbor method. Our experimental results on English datasets show that the FRD rumor detection model proposed in this paper is superior to other baseline algorithms in terms of accuracy, precision, recall and macro F1 value. From the comparison of experimental results, the FRD model can effectively improve conventional rumor detection methods, and better realize the early detection of sudden epidemic rumors.
The biggest difference between the rapid spread of coronavirus around the world and past crises is that it directly affects the real economy. Global expansion affects not only foreign demand but also ...global supply chains. The global economy stagnated in the second quarter of this year, creating great uncertainty about the country's post-epidemic recovery. Based on this, this paper studies the impact of the epidemic on China's real economy. This paper discusses the outbreak of the huge impact on the real economy and real economy "to take off the real to virtual" origin, trajectory and impact of COVID - 19 outbreak could trigger a new round of economic "to take off the real to virtual" risk, targeted put forward the countermeasures, and from the short-term fiscal and monetary policies to strengthen the reverse cycle adjustment and push forward the reform for a long time short response are put forward, on the impact of the real economy of the outbreak digital transformation were studied. Research shows that the digitization and knowledge-based transformation of the real economy has been significantly accelerated, with thousands of enterprises together accelerating the integration of big data and the real economy. These real economies will further promote the growth of national economy while consolidating, changing and improving data distribution and mining value.
Novel coronavirus epidemic took place in December, 2019 and at the same time, without efficient protective measures, the whole world caught in the grip of this virus. Due to the shutdown, film ...industry became one of the most affected industries and experienced huge economic losses. The survey found that the COVID-19 epidemic has caused the unemployment rate in the film and television industry to decline seriously, and many small and medium-sized companies have closed down, but at the same time, it has also stimulated the rapid development of online IP network dramas.
The emergence and reemergence of coronavirus epidemics sparked renewed concerns from global epidemiology researchers and public health administrators. Mathematical models that represented how contact ...tracing and follow-up may control Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) transmissions were developed for evaluating different infection control interventions, estimating likely number of infections as well as facilitating understanding of their likely epidemiology. We reviewed mathematical models for contact tracing and follow-up control measures of SARS and MERS transmission. Model characteristics, epidemiological parameters and intervention parameters used in the mathematical models from seven studies were summarized. A major concern identified in future epidemics is whether public health administrators can collect all the required data for building epidemiological models in a short period of time during the early phase of an outbreak. Also, currently available models do not explicitly model constrained resources. We urge for closed-loop communication between public health administrators and modelling researchers to come up with guidelines to delineate the collection of the required data in the midst of an outbreak and the inclusion of additional logistical details in future similar models.
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