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The severe acute respiratory syndrome of coronavirus 2 spread globally very quickly, causing great concern at the international level due to the severity of the associated respiratory disease, the so-called COVID-19. Considering Rio de…

Objective. The COVID-19 pandemic has threatened to collapse hospital and ICU services, and it has affected the care programs for non-COVID patients. The objective was to develop a mathematical model designed to optimize predictions related…

Several SARS-CoV-2 variants that evolved during the COVID-19 pandemic have appeared to differ in severity, based on analyses of single-country datasets. With decreased SARS-CoV-2 testing and sequencing, international collaborative studies…

During 2020, the infection rate of COVID-19 has been investigated by many scholars from different research fields. In this context, reliable and interpretable forecasts of disease incidents are a vital tool for policymakers to manage…

机器学习 · 计算机科学 2021-01-05 Cornelius Fritz , Emilio Dorigatti , David Rügamer

During the current COVID-19 pandemic it is imperative to give early warnings to reduce mortality. However, non-specialist such as authorities and the general population face several problems to understand the real thread of this pandemic,…

医学物理 · 物理学 2020-03-25 R. I. Gonzalez , F. Munoz , P. S. Moya , M. Kiwi

Susceptible-Invective-Recovered (SIR) mathematical models are in high demand due to the COVID-19 pandemic. They are used in their standard formulation, or through the many variants, trying to fit and hopefully predict the number of new…

种群与进化 · 定量生物学 2020-05-19 Ben-Hur Francisco Cardoso , Sebastián Gonçalves

Monitoring cause-of-death data is an important part of understanding disease burdens and effects of public health interventions. Verbal autopsy (VA) is a well-established method for gathering information about deaths outside of hospitals by…

统计方法学 · 统计学 2025-06-17 Yu Zhu , Zehang Richard Li

We use an enhanced methodology combining specific forms of AI techniques, opinion mining and artificial mathematical intelligence (AMI), with public data on the spread of the coronavirus SARS-CoV-2 and the incidence of COVID-19 disease in…

社会与信息网络 · 计算机科学 2021-05-27 Danny A. J. Gomez-Ramirez , Yoe A. Herrera-Jaramillo , Johana C. Ortega-Giraldo , Alex M. Ardila-Garcia

An urgent problem in controlling COVID-19 spreading is to understand the role of undocumented infection. We develop a five-state model for COVID-19, taking into account the unique features of the novel coronavirus, with key parameters…

The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tests at their disposal. This problem is…

The number of confirmed cases of the coronavirus disease (COVID-19) in Japan has been increasing day by day and has had a serious impact on the society especially after the declaration of the state of emergency on April 7, 2020. This study…

应用统计 · 统计学 2020-04-29 Genya Kobayashi , Shonosuke Sugasawa , Hiromasa Tamae , Takayuki Ozu

The presence of a large number of infected individuals with few or no symptoms is an important epidemiological difficulty and the main mathematical feature of COVID-19. The A-SIR model, i.e. a SIR (Susceptible-Infected-Removed) model with a…

种群与进化 · 定量生物学 2020-08-19 Armando G. M. Neves , Gustavo Guerrero

The coronavirus disease (COVID-19), caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organization (WHO) in February 2020. Currently, there are no vaccines or treatments that have been approved after clinical…

计算机与社会 · 计算机科学 2020-04-30 Vukosi Marivate , Herkulaas MvE Combrink

The case fatality ratio (CFR) for COVID-19 is difficult to estimate. One difficulty is due to ignoring or overestimating time delay between reporting and death. We claim that all of these cause large errors and artificial time dependence of…

种群与进化 · 定量生物学 2020-07-02 Phoebus Rosakis , Maria Marketou

The subset selection problem of linear algebra is applied to identify independent patterns of COVID-19 evolution within Brazil. The data consist of a set of mortality curves in states of Brazil. A subset of the most independent curves is…

应用统计 · 统计学 2022-05-12 Jorge C. Lucero

COVID-19 has been devastating the world since the end of 2019 and has continued to play a significant role in major national and worldwide events, and consequently, the news. In its wake, it has left no life unaffected. Having earned the…

社会与信息网络 · 计算机科学 2021-04-23 Shayan Fazeli , Davina Zamanzadeh , Anaelia Ovalle , Thu Nguyen , Gilbert Gee , Majid Sarrafzadeh

The outbreak of Coronavirus Disease 2019 (COVID-19) is an ongoing pandemic affecting over 200 countries and regions. Inference about the transmission dynamics of COVID-19 can provide important insights into the speed of disease spread and…

统计方法学 · 统计学 2020-07-06 Tianjian Zhou , Yuan Ji

Coronavirus Disease 2019 (COVID-19) has become a serious global epidemic in the past few months and caused huge loss to human society worldwide. For such a large-scale epidemic, early detection and isolation of potential virus carriers is…

计算机视觉与模式识别 · 计算机科学 2020-04-16 Zheng Jiang , Menghan Hu , Lei Fan , Yaling Pan , Wei Tang , Guangtao Zhai , Yong Lu

The global COVID-19 pandemic (SARS-CoV-2 virus) is the defining health crisis of our century. Due to the absence of vaccines and drugs that can help to fight it, the world solution to control the spread has been to consider public social…

The global pandemic of COVID-19 has made the public pay close attention to related news, covering various domains, such as sanitation, treatment, and effects on education. Meanwhile, the COVID-19 condition is very different among the…