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This paper introduces new methods to study the changing dynamics of COVID-19 cases and deaths among the 50 worst-affected countries throughout 2020. First, we analyse the trajectories and turning points of rolling mortality rates to…

物理与社会 · 物理学 2021-06-15 Nick James , Max Menzies

The dramatic outbreak of the coronavirus disease 2019 (COVID-19) pandemics and its ongoing progression boosted the scientific community's interest in epidemic modeling and forecasting. The SIR (Susceptible-Infected-Removed) model is a…

种群与进化 · 定量生物学 2021-02-24 Dimiter Prodanov

Coronavirus disease (COVID-19) is a severe ongoing novel pandemic that has emerged in Wuhan, China, in December 2019. As of October 13, the outbreak has spread rapidly across the world, affecting over 38 million people, and causing over 1…

应用统计 · 统计学 2021-08-31 Gaetano Perone

The data of the 2009 A(H1N1) epidemic in Istanbul, Turkey is unique in terms of the collected data, which include not only the hospitalization but also the fatality information recorded during the pandemic. The analysis of this data…

种群与进化 · 定量生物学 2020-01-29 Ali Demirci , Ayse Peker Dobie , Ayse Humeyra Bilge , Semra Ahmetolan

In a given country, the cumulative death toll of the first wave of the COVID-19 epidemic follows a sigmoid curve as a function of time. In most cases, the curve is well described by the Gompertz function, which is characterized by two…

种群与进化 · 定量生物学 2020-08-07 Kristoffer Rypdal , Martin Rypdal

The coronavirus disease 2019 (COVID-19) pandemic radically impacts our lives, while the transmission/infection and recovery dynamics of COVID-19 remain obscure. A time-dependent Susceptible, Exposed, Infectious, and Recovered (SEIR) model…

种群与进化 · 定量生物学 2020-04-01 Yong Zhang , Xiangnan Yu , HongGuang Sun , Geoffrey R. Tick , Wei Wei , Bin Jin

We propose a novel epidemiological model, referred to as SEIHRDV, for the numerical simulation of the COVID-19 epidemic, which we validate using data from Italy starting in September 2020. SEIHRDV features the following compartments:…

种群与进化 · 定量生物学 2025-01-09 Luca Dede' , Nicola Parolini , Alfio Quarteroni , Giulia Villani , Giovanni Ziarelli

Many countries have experienced at least two waves of the COVID-19 pandemic. The second wave is far more dangerous as distinct strains appear more harmful to human health, but it stems from the complacency about the first wave. This paper…

种群与进化 · 定量生物学 2022-06-29 Edilson F. Arruda , Tarun Sharma , Rodrigo e A. Alexandre , Sinnu Susan Thomas

We propose a novel methodology for estimating the epidemiological parameters of a modified SIRD model (acronym of Susceptible, Infected, Recovered and Deceased individuals) and perform a short-term forecast of SARS-CoV-2 virus spread. We…

While COVID-19 has resulted in a significant increase in global mortality rates, the impact of the pandemic on mortality from other causes remains uncertain. To gain insight into the broader effects of COVID-19 on various causes of death,…

应用统计 · 统计学 2024-09-05 Wei Zhang , Antonietta Mira , Ernst C. Wit

We studied the weekly number and the growth decline rates of COVID-19 deaths of the period from October 31, 2022 to February 9, 2023, in Italy, finding that that COVID 19 winter wave reached its peak during the three holiday weeks from…

物理与社会 · 物理学 2024-02-08 Roccetti Marco

Since the first outbreak of the COVID-19 epidemic at the end of 2019, data has been made available on the number of infections, deaths and recoveries for all countries of the World, and that data can be used for statistical analysis. The…

种群与进化 · 定量生物学 2020-04-01 Dávid Tátrai , Zoltán Várallyay

The SEIR model is a widely used epidemiological model used to predict the rise in infections. This model has been widely used in different countries to predict the number of Covid-19 cases. But the original SEIR model does not take into…

机器学习 · 计算机科学 2021-10-08 Sathiyanarayanan Sampath , Joy Bose

We introduce an extended SEIR infectious disease model with data assimilation for the study of the spread of COVID-19. In this framework, undetected asymptomatic and pre-symptomatic cases are taken into account, and the impact of their…

数值分析 · 数学 2021-11-01 Qiwen Sun , Serge Richard , Takemasa Miyoshi

In this paper, we apply statistical methods for functional data to explain the heterogeneity in the evolution of number of deaths of Covid-19 over different regions. We treat the cumulative daily number of deaths in a specific region as a…

应用统计 · 统计学 2021-09-07 Julian A. A. Collazos , Ronaldo Dias , Marcelo C. Medeiros

Forecasting new cases, hospitalizations, and disease-induced deaths is an important part of infectious disease surveillance and helps guide health officials in implementing effective countermeasures. For disease surveillance in the U.S.,…

物理与社会 · 物理学 2022-06-22 Nino Antulov-Fantulin , Lucas Böttcher

The Covid-19 outbreak of 2020 has required many governments to develop mathematical-statistical models of the outbreak for policy and planning purposes. This work provides a tutorial on building a compartmental model using Susceptibles,…

应用统计 · 统计学 2020-05-27 Ryad Ghanam , Edward L. Boone , Abdel-Salam G. Abdel-Salam

Emerging at the end of 2019, COVID-19 has become a public health threat to people worldwide. Apart from the deaths who tested positive for COVID-19, many others have died from causes indirectly related to COVID-19. Therefore, the COVID-19…

应用统计 · 统计学 2020-11-18 Han Lin Shang , Ruofan Xu

After the breakout of the disease caused by the new virus COVID-19, the mitigation stage has been reached in most of the countries in the world. During this stage, a more accurate data analysis of the daily reported cases and other…

种群与进化 · 定量生物学 2020-07-01 S. Maltezos

COVID-19 has led to excess deaths around the world, however it remains unclear how the mortality of other causes of death has changed during the pandemic. Aiming at understanding the wider impact of COVID-19 on other death causes, we study…

应用统计 · 统计学 2023-07-13 Wei Zhang , Antonietta Mira , Ernst C. Wit