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We identify the effectiveness of social distancing policies in reducing the transmission of the COVID-19 spread. We build a model that measures the relative frequency and geographic distribution of the virus growth rate and provides…

计量经济学 · 经济学 2024-05-21 Difang Huang , Ying Liang , Boyao Wu , Yanyi Ye

The temporal growth in the number of deaths in the COVID-19 epidemic is subexponential. Here we show that a piecewise quadratic law provides an excellent fit during the thirty days after the first three fatalities on January 20 and later…

种群与进化 · 定量生物学 2020-09-22 Axel Brandenburg

In this note we analyze the temporal dynamics of the coronavirus disease 2019 outbreak in China, Italy and France in the time window $22/01-09/03/2020$. A first analysis of simple day-lag maps points to some universality in the epidemic…

种群与进化 · 定量生物学 2020-04-22 Duccio Fanelli , Francesco Piazza

We present a robust data-driven machine learning analysis of the COVID-19 pandemic from its early infection dynamics, specifically infection counts over time. The goal is to extract actionable public health insights. These insights include…

种群与进化 · 定量生物学 2020-04-06 Malik Magdon-Ismail

The 2019-Novel-Coronavirus (COVID-19) has affected 116 countries (By March 12) and out of more than 118,000 confirmed cases. Understanding the transmission dynamics of the infection in each country which affected on a daily basis and…

We propose a deterministic SAIVRD model and a stochastic SARV model of the epidemic COVID-19 involving asymptomatic infections and vaccinations to conduct data forecasts using time-dependent parameters. The forecast by our deterministic…

种群与进化 · 定量生物学 2022-09-28 Bo-Sheng Chen , Zong-Ying Wu , Yen-Jia Chen , Jann-Long Chern

We report a statistical analysis of some highly infected countries by the novel coronavirus (COVID-19). The cumulative infected data were fitted with various growth models (e.g. Logistic equation, Weibull equation and Hill equation) and…

种群与进化 · 定量生物学 2021-04-16 Jagadish Kumar , K. P. S. S. Hembram

Current available data of the worldwide impact of the COVID-19 pandemic has been analyzed using dimensional analysis and self-similarity hypotheses. We show that the time series of infected population and deaths of the most impacted and…

种群与进化 · 定量生物学 2020-04-01 Alfonso M. Ganan-Calvo , Juan A. Hernandez Ramos

After the detection of coronavirus disease 2019 (Covid-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Wuhan, Hubei Province, China in late December, the cases of Covid-19 have spiralled out around the…

种群与进化 · 定量生物学 2022-10-12 Suman Bhowmick , Igor M. Sokolov , Hartmut H. K. Lentz

Since the beginning of March 2020, the cumulative numbers of cases of infection with the novel coronavirus SARS-CoV-2 in Germany have been reported on a daily basis. The reports originate from national laws, according to which positive test…

种群与进化 · 定量生物学 2020-05-08 Ralph Brinks , Annika Hoyer

The declaration of COVID-19 as a pandemic has largely amplified the spread of related information on social media, such as Twitter, Facebook, and WeChat.Unlike the previous studies which focused on how to detect the misinformation or fake…

物理与社会 · 物理学 2021-07-09 Xiu-Xiu Zhan , Kaiyue Zhang , Lun Ge , Junming Huang , Zinan Zhang , Lu Wei , Gui-Quan Sun , Chuang Liu , Zi-Ke Zhang

The COVID-19 pandemic has caused major disturbance to human life. An important reason behind the widespread social anxiety is the huge uncertainty about the pandemic. A fundamental uncertainty is how many or what percentage of people have…

种群与进化 · 定量生物学 2021-03-04 Donghui Yan , Ying Xu , Pei Wang

COVID19 took the world by storm since December 2019. A highly infectious communicable disease, COVID19 is caused by the SARSCoV2 virus. By March 2020, the World Health Organization (WHO) declared COVID19 as a global pandemic. A pandemic in…

计算机视觉与模式识别 · 计算机科学 2025-08-26 Deborup Sanyal

Several analytical models have been used in this work to describe the evolution of death cases arising from coronavirus (COVID-19). The Death or `D' model is a simplified version of the SIR (susceptible-infected-recovered) model, which…

种群与进化 · 定量生物学 2020-11-19 J. E. Amaro , J. Dudouet , J. N. Orce

The outbreak of the new virus COVID-19, beyond the human health risks and loss, has caused also very serious problems in a wide range of human activities, including the basic and applied scientific research, mainly that concern world wide…

物理与社会 · 物理学 2020-04-16 S. Maltezos

The ongoing outbreak of coronavirus disease (COVID-19) had burst out in Wuhan China, specifically in December 2019. COVID-19 has caused by a new virus that had not been identified in human previously. This was followed by a widespread and…

数据库 · 计算机科学 2020-05-12 Manar A. Elmeiligy , Ali I. El Desouky , Sally M. Elghamrawy

World Health Organization (WHO) characterized the novel coronavirus (COVID-19) as a global pandemic on March 11th, 2020. Before this and in late January, more specifically on January 27th, while the majority of the infection cases were…

计算与语言 · 计算机科学 2020-04-16 Negin Karisani , Payam Karisani

We analyse the data for the global corona virus (COVID-19) outbreak using the results of a previously studied Susceptible-Infected-Removed (SIR) model of epidemic spreading on Euclidean networks. We also directly study the correlation of…

物理与社会 · 物理学 2020-03-09 Kathakali Biswas , Parongama Sen

The outbreak of COVID-19 since Dec. 2019 has caused severe life and economic damage worldwide, many countries are trapped by medical resource constraints or absence of targeted therapeutics, and therefore the implement of systemic policies…

种群与进化 · 定量生物学 2020-07-15 Yubo Huang , Weidong Zhang

The Coronavirus Disease 2019 (COVID-19) pandemic has caused tremendous amount of deaths and a devastating impact on the economic development all over the world. Thus, it is paramount to control its further transmission, for which purpose it…

应用统计 · 统计学 2021-01-11 Quan-Lin Li , Chengliang Wang , Yiming Xu , Chi Zhang , Yanxia Chang , Xiaole Wu , Zhen-Ping Fan , Zhi-Guo Liu