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相关论文: First attempts to model the dynamics of the Corona…

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The outbreak of novel coronavirus (2019-nCoV) in China has caused a viral epidemic affecting tens of thousands of persons. Though the danger of this epidemic is evident, the statistical analysis of data offered in this paper indicates that…

种群与进化 · 定量生物学 2020-02-19 Javier Gamero , Juan A. Tamayo , Juan A. Martinez-Roman

There were 27 novel coronavirus pneumonia cases found in Wuhan, China in December 2019, named as 2019-nCoV temporarily and COVID-19 formally by WHO on 11 February, 2020. In December 2019 and January 2020, COVID-19 has spread in large scale…

种群与进化 · 定量生物学 2021-02-23 Yimin Zhou , Zuguo Chen , Xiangdong Wu , Zengwu Tian , Liang Cheng , Lingjian Ye

In December 2019, a novel coronavirus (SARS-CoV-2) has been identified to cause acute respiratory disease in humans. An outbreak of this disease has been reported in mainland China with the city of Wuhan as the recognized epicenter. The…

种群与进化 · 定量生物学 2020-07-07 Jomar F. Rabajante

Since the SARS outbreak in 2003, a lot of predictive epidemiological models have been proposed. At the end of 2019, a novel coronavirus, termed as 2019-nCoV, has broken out and is propagating in China and the world. Here we propose a…

种群与进化 · 定量生物学 2020-02-21 Tianyu Zeng , Yunong Zhang , Zhenyu Li , Xiao Liu , Binbin Qiu

How to model the 2019 CoronaVirus (2019-nCov) spread in China is one of the most urgent and interesting problems in applied mathematics. In this paper, we propose a novel time delay dynamic system with external source to describe the trend…

物理与社会 · 物理学 2020-02-10 Yu Chen , Jin Cheng , Yu Jiang , Keji Liu

In this paper, we propose a novel dynamical system with time delay to describe the outbreak of 2019-nCoV in China. One typical feature of this epidemic is that it can spread in latent period, which is therefore described by the time delay…

种群与进化 · 定量生物学 2020-02-14 Yu Chen , Jin Cheng , Yu Jiang , Keji Liu

The initial cluster of severe pneumonia cases that triggered the 2019-nCoV epidemic was identified in Wuhan, China in December 2019. While early cases of the disease were linked to a wet market, human-to-human transmission has driven the…

种群与进化 · 定量生物学 2020-02-13 K. Roosa , Y. Lee , R. Luo , A. Kirpich , R. Rothenberg , J. M. Hyman , P. Yan , G. Chowell

The Coronavirus, also known as the COVID-19 virus, has emerged in Wuhan China since late November 2019. Since that time, it has been spreading at large-scale until today all around the world. It is currently recognized as the world's most…

种群与进化 · 定量生物学 2020-04-01 Anis Koubaa

A mathematical model is proposed for quantitative description of the outbreak of novel coronavirus COVID-19 in China. Although the model is relatively simple, the comparison with the public data shows that an exact solution solution of the…

物理与社会 · 物理学 2020-04-10 Roman Cherniha , Vasyl' Davydovych

The outbreak of novel coronavirus-caused pneumonia (COVID-19) in Wuhan has attracted worldwide attention. Here, we propose a generalized SEIR model to analyze this epidemic. Based on the public data of National Health Commission of China…

种群与进化 · 定量生物学 2020-06-26 Liangrong Peng , Wuyue Yang , Dongyan Zhang , Changjing Zhuge , Liu Hong

A new coronavirus disease, called COVID-19, appeared in the Chinese region of Wuhan at the end of last year; since then the virus spread to other countries, including most of Europe. We propose a differential equation governing the…

种群与进化 · 定量生物学 2020-09-15 Giorgio Sonnino , Pasquale Nardone

In late December 2019, a novel strand of Coronavirus (SARS-CoV-2) causing a severe, potentially fatal respiratory syndrome (COVID-19) was identified in Wuhan, Hubei Province, China and is causing outbreaks in multiple world countries, soon…

The recent outbreak of a novel coronavirus (2019-nCoV) has quickly evolved into a global health crisis. The transmission potential of 2019-nCoV has been modelled and studied in several recent research works. The key factors such as the…

种群与进化 · 定量生物学 2020-02-11 Jun Li

Human civilization is experiencing a critical situation that presents itself for a new coronavirus disease 2019 (COVID-19). This virus emerged in late December 2019 in Wuhan city, Hubei, China. The grim fact of COVID-19 is, it is highly…

In December 2019, a novel coronavirus was found in a seafood wholesale market in Wuhan, China. WHO officially named this coronavirus as COVID-19. Since the first patient was hospitalized on December 12, 2019, China has reported a total of…

种群与进化 · 定量生物学 2020-03-18 Lin Jia , Kewen Li , Yu Jiang , Xin Guo , Ting zhao

The outbreak of COVID-19 caused by SARS-CoV-2 in Wuhan and other cities in China in 2019 has become a global pandemic as declared by World Health Organization (WHO) in the first quarter of 2020 . The delay in diagnosis, limited hospital…

种群与进化 · 定量生物学 2020-04-03 Stephen E. Moore , Eric Okyere

In order to predict the development trend of the 2019 coronavirus (2019-nCov), we established an prediction model to predict the number of diagnoses case in China except Hubei Province. From January 25 to January 29, 2020, we optimized 6…

种群与进化 · 定量生物学 2020-02-04 Ye Liang , Dan Xu , Shang Fu , Kewa Gao , Jingjing Huan , Linyong Xu , Jia-da Li

The coronavirus which appeared in December 2019 in Wuhan has spread out worldwide and caused the death of more than 280,000 people (as of May, 11 2020). Since February 2020, doubts were raised about the numbers of confirmed cases and deaths…

应用统计 · 统计学 2020-05-12 Jean-François Coeurjolly

The ongoing pandemic of Coronavirus disease (COVID-19) emerged in Wuhan, China in the end of 2019. It has already affected more than 300,000 people, with the number of deaths nearing 13000 across the world. As it has been posing a huge…

应用统计 · 统计学 2020-03-25 Soudeep Deb , Manidipa Majumdar

Since December 2019, A novel coronavirus (2019-nCoV) has been breaking out in China, which can cause respiratory diseases and severe pneumonia. Mathematical and empirical models relying on the epidemic situation scale for forecasting…

种群与进化 · 定量生物学 2021-01-05 Jingyuan Wang , Xin Lin , Yuxi Liu , Qilegeri , Kai Feng , Hui Lin
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