scholarly journals A Predictive Model for the Evolution of COVID-19

Author(s):  
Rajneesh Bhardwaj

AbstractWe predict the evolution of the COVID-19 pandemic in several countries by using a regression-based predictive model. In particular, the growth rate of the infection has been fitted as an exponential decay, as compared to a linear decay, reported previously. The model has been validated with the data of China and South Korea, where the pandemic is nearing to its end. The data of Italy, Germany, Spain, and Sweden show that the peak of the infection has reached i.e. a time when the new infections will start to decrease as compared to the previous day. The model predicts the approximate number of total infections at the end of the outbreak. The model prediction of the USA, and Brazil show that the peak will reach in the next two-three weeks. The total number of infections in the USA is estimated to be around 4 million by the model. The reported data of India show the start of disease evolution, with a large initial scatter in the growth rate. The possible peak date and the total number of infections are predicted using the data available.

Author(s):  
Marco M. Fontanella ◽  
Giorgio Saraceno ◽  
Ting Lei ◽  
Joshua B. Bederson ◽  
Namkyu You ◽  
...  
Keyword(s):  
The Usa ◽  

2014 ◽  
Vol 9 (3) ◽  
pp. 201-213
Author(s):  
Renata Marks-Bielska ◽  
Wiesława Lizińska ◽  
Izabela Serocka

Evaluation of the importance of the USA as the trade partner of Poland is the main objective of the paper, based on the changes in the value of trade during the years 2000-2012 and changes in the structure of trade during the years 2008-2012. The data from the Statistical Yearbooks of Foreign Trade published by the Central Statistical Office was used. The potential for foreign trade growth was illustrated using the simplified analysis based on the gravity model of foreign trade concept. Gradually increasing value of Polish trade with the USA (the average growth rate 9.8%, EU-15 countries 13.1%). Polish exports are characterised by a higher than imports growth rate (USA - exports growth by 12.5%, imports 9.2%, EU-15 - exports 15.1%, imports 11.6%). Trade is strongly dominated by position of one group of products (over 30% share in both exports and imports). The potential of trade is poorly exploited currently. Trade was focused mainly on the countries situated in the close neighbourhood (mainly the EU countries with the domination of Germany).


Author(s):  
Mohammad Reza Davahli ◽  
Krzysztof Fiok ◽  
Waldemar Karwowski ◽  
Awad M. Aljuaid ◽  
Redha Taiar

The COVID-19 pandemic has had unprecedented social and economic consequences in the United States. Therefore, accurately predicting the dynamics of the pandemic can be very beneficial. Two main elements required for developing reliable predictions include: (1) a predictive model and (2) an indicator of the current condition and status of the pandemic. As a pandemic indicator, we used the effective reproduction number (Rt), which is defined as the number of new infections transmitted by a single contagious individual in a population that may no longer be fully susceptible. To bring the pandemic under control, Rt must be less than one. To eliminate the pandemic, Rt should be close to zero. Therefore, this value may serve as a strong indicator of the current status of the pandemic. For a predictive model, we used graph neural networks (GNNs), a method that combines graphical analysis with the structure of neural networks. We developed two types of GNN models, including: (1) graph-theory-based neural networks (GTNN) and (2) neighborhood-based neural networks (NGNN). The nodes in both graphs indicated individual states in the US states. While the GTNN model’s edges document functional connectivity between states, those in the NGNN model link neighboring states to one another. We trained both models with Rt numbers collected over the previous four days and asked them to predict the following day for all states in the USA. The performance of these models was evaluated with the datasets that included Rt values reflecting conditions from 22 January through 26 November 2020 (before the start of COVID-19 vaccination in the USA). To determine the efficiency, we compared the results of two models with each other and with those generated by a baseline Long short-term memory (LSTM) model. The results indicated that the GTNN model outperformed both the NGNN and LSTM models for predicting Rt.


2020 ◽  
Vol 9 (s1) ◽  
Author(s):  
Babak Jamshidi ◽  
Mansour Rezaei ◽  
Shahriar Jamshidi Zargaran ◽  
Farid Najafi

AbstractIn epidemiology, the modeling of epicenters is important both conceptually and mathematically. This paper is an attempt to model epicenters mathematically. We present an algorithm to find new epicenters. Applying our model for the data related to COVID-19 pandemic, we obtain epicenters in China, South Korea, Iran, Italy, France, Germany, Spain, the USA, and Switzerland, on the days 1, 35, 42, 42, 49, 50, 50, 50, and 56, respectively. Although the number of these epicenters is less than 5% of all contaminated countries across the globe, as of March 22, 2020, they make up 74% of new cases and over 80% of total confirmed cases. Finally, we conclude that we expect to face three new epicenters between March 22 and April 1, 2020.


1976 ◽  
Vol 33 (4) ◽  
pp. 1024-1030 ◽  
Author(s):  
Nobuo Yamada

Agar-agar manufacturing was Japan’s monopoly for about 300 yr from 1644 until about 1920, when its production was initiated in the USA by introducing techniques from Japan, and then was begun in South Korea, Indonesia, and many other countries. Today the average annual output of agar-agar of over 20 countries amounts to 6000 tons, half of which is produced in Japan.Agarophytes are harvested in many countries and traded among them. In Japan, nearly 14,000 tons are consumed in a year, two thirds of which are imported from about 20 countries.Under these circumstances, there is a worldwide demand for appropriate measures for resource conservation, effective harvesting, and utilization of agarophytes.This paper presents the results of basic and applied investigations on the agarophytes and the existing state of harvesting and resource-conservation management in Japan.


2018 ◽  
Vol 3 (1) ◽  
pp. e000238 ◽  
Author(s):  
Kyoungwon Jung ◽  
Shokei Matsumoto ◽  
Alan Smith ◽  
Kyungjin Hwang ◽  
John Cook-Jong Lee ◽  
...  

BackgroundThis study aimed to compare treatment outcomes between patients with severe pelvic fractures treated at a representative trauma center that was established in Korea since 2015 and matched cases treated in the USA.MethodsTwo cohorts were selected from a single institution trauma database in South Korea (Ajou Trauma Data Bank (ATDB)) and the National Trauma Data Bank (NTDB) in the USA. Adult blunt trauma patients with a pelvic Abbreviated Injury Scale >3 were included. Patients were matched based on covariates that affect mortality rate using a 1:1 propensity score matching (PSM) approach. We compared differences in outcomes between the two groups, performed survival analysis for the cohort after PSM and identified factors associated with mortality. Lastly, we analyzed factors related to outcomes in the ATDB dataset comparing a period prior to the implementation of the trauma center according to US standards, an interim period and a postimplementation period.ResultsAfter PSM, a total of 320 patients (160 in each cohort) were identified for comparison. Inhospital mortality was significantly higher in the ATDB cohort using χ2 test, but it was not statistically significant when using Kaplan-Meier survival curves and Cox regression analysis. Moreover, the mortality rate was similar comparing the NTDB cohort to ATDB data reflecting the post-trauma center establishment period. Older age, lower systolic blood pressure (SBP) and Glasgow Coma Scale (GCS) at admission were factors associated with mortality.DiscussionMortality rate after severe pelvic fractures was significantly associated with older age, lower SBP and GCS scores at admission. Efforts to establish a trauma center in South Korea led to improvement in outcomes, which are comparable to those in US centers.Level of evidenceLevel IV.


2015 ◽  
Vol 14 (1) ◽  
pp. 2-17 ◽  
Author(s):  
Terry Locke

Purpose – The purpose of this paper is to offer a personalised overview of the content of English Teaching: Practice and Critique for the years it was hosted at the Wilf Malcolm Institute for Educational Research (WMIER) at the University of Waikato (2002-2014). Design/methodology/approach – It notes trends in relationship to the context of origin of 335 articles published in this period (excluding editorials), including significant increases in articles originating in the USA and Pacific Rim Asian nations, particularly South Korea and Taiwan. It comments on articles that relate to the original vision of the editors’ founders, especially their emphasis on practice, criticality and social justice. Findings – Prevailing themes across 13 years are mapped and in some cases discussed. Originality/value – A number of reflections are shared in relation to the future of the journal and some challenges currently facing subject English.


2021 ◽  
Vol 26 (2) ◽  
pp. 325-330
Author(s):  
Alina G. Chernyavskaya

Millions of people all over the world watch ESports matches and follow the news about favourite teams and players. Due to the COVID-19 pandemic ESports market has received unprecedented growth of audience. The present paper is aimed at exploring and comparing specific features of ESports internet resources development around the world. The author observes the most visited ESports sites in such countries as South Korea, China, the USA, and Russia. Also, this article examines website traffic statistics to analyze the popularity of ESports internet resources among an audience. The data is based on the number of views and visitors for each country during the day, month, and year. The study showed that the Asian ESports media market prefers to use video format for providing content compared to the USA and Russia. The USA and Russia still use text and video formats.


2021 ◽  
Vol 28 (2) ◽  
pp. 88-101
Author(s):  
Pradipto Suwidji ◽  
Hoi Ying Chung ◽  
Yun Hau Ng

Development of hydrogen utilisation for energy applications has seen promising innovation towards the future prospect of clean and sustainable energy, benefitting various aspects of environmental, social, industrial and energy security. In the APEC region, several economies, such as the USA, China, Australia, Japan and South Korea, have shown interest in the development of hydrogen technology for energy applications. These economies have been devoting effort towards research and development programmes, pilot projects and, up to a certain point, implementing it in their communities. In addition, these economies each have their own tailored hydrogen roadmap or strategy, ensuring a smoother path towards hydrogen development. In this mini-review, we analysed the approaches of three selected economies in the East Asia region towards hydrogen technology, namely China, Japan and South Korea. Each of these economies have their own strategies and priorities towards the application, production and future development of hydrogen technology. This review also analyses the future possibilities for the integration of hydrogen technology into various sectors, as well as various constraints faced by each economy. Therefore, the review might serve as a valuable reference towards the feasibility of future hydrogen technology development in the East Asia and APEC region.


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