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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

In this work we study a simple mathematical model to analyze the emergence and control of radicalization phenomena, motivated by the recent far-right extremist events in Brazil, occurred in January 8, 2023. For this purpose, we considered a…

物理与社会 · 物理学 2024-03-13 Nuno Crokidakis

According to the current perception, symptomatic, presymptomatic, and asymptomatic infectious persons can infect the healthy population susceptible to the SARS-Cov-2. More importantly, various reports indicate that the number of…

种群与进化 · 定量生物学 2020-11-24 Saptarshi Chatterjee , Apurba Sarkar , Mintu Karmakar , Swarnajit Chatterjee , Raja Paul

This paper seeks to study the evolution of the COVID-19 pandemic based on daily published data from Worldometer website, using a time-dependent SIR model. Our findings indicate that this model fits well such data, for different chosen…

种群与进化 · 定量生物学 2023-11-28 Rawan H. Madi , Sophie M. Moufawad , Nabil R. Nassif

In this paper we develop a SIR epidemiological model with parameters calculated according to existing data at the time of writing (24/03/2020); the data is from Italy, South Korea and Colombia, the model is then used to project the…

种群与进化 · 定量生物学 2020-09-28 Carlos Armando De Castro

During the COVID-19 pandemic, the behavioral response to reported case numbers changed drastically over time. While a few dozen cases were enough to trigger government-induced and voluntary contact reduction in early 2020, less than a year…

物理与社会 · 物理学 2023-09-27 Bastian Heinlein , Manlio De Domenico

When the novel coronavirus disease SARS-CoV2 (COVID-19) was officially declared a pandemic by the WHO in March 2020, the scientific community had already braced up in the effort of making sense of the fast-growing wealth of data gathered by…

种群与进化 · 定量生物学 2020-05-25 Timoteo Carletti , Duccio Fanelli , Francesco Piazza

We assess the epidemic situation caused by SARS-CoV-2 using Tsallis' proposal for determining the occurrence of the peak, and also the Susceptible-Infected-Recovered-Asymptomatic-Symptomatic and Dead (\textbf{SIRASD}) compartmental model.…

物理与社会 · 物理学 2020-08-17 M. L. Peñafiel , G. M. Ramírez-Ávila

The last leg of the year 2019 gave rise to a virus named COVID-19 (Corona Virus Disease 2019). Since the beginning of this infection in India, the government implemented several policies and restrictions to curtail its spread among the…

种群与进化 · 定量生物学 2020-09-15 Punam Bedi , Shivani , Pushkar Gole , Neha Gupta , Vinita Jindal

Infectious disease transmission dynamics are particularly sensitive to social contact patterns, and the precautions people take to limit disease transmission. It depends on the age distribution of the community. Thus, knowing the…

种群与进化 · 定量生物学 2022-04-19 Vijay Pal Bajiya , Jai Prakash Tripathi , Ranjit Kumar Upadhyay

Europe was hit hard by the COVID-19 pandemic and Portugal was one of the most affected countries, having suffered three waves in the first twelve months. Approximately between Jan 19th and Feb 5th 2021 Portugal was the country in the world…

The unprecedented coronavirus disease 2019 (COVID-19) pandemic is still a worldwide threat to human life since its invasion into the daily lives of the public in the first several months of 2020. Predicting the size of confirmed cases is…

应用统计 · 统计学 2020-12-02 Xinyu Wang , Lu Yang , Hong Zhang , Zhouwang Yang , Catherine Liu

In this paper, we propose a machine learning technics and SIR models (deterministic and stochastic cases) with numerical approximations to predict the number of cases infected with the COVID-19, for both in few days and the following three…

种群与进化 · 定量生物学 2020-04-29 Babacar Mbaye Ndiaye , Lena Tendeng , Diaraf Seck

A central feature of an emerging infectious disease in a pandemic scenario is the spread through geographical scales and the impacts on different locations according to the adopted mitigation protocols. We investigated a stochastic epidemic…

物理与社会 · 物理学 2021-01-13 Guilherme S. Costa , Wesley Cota , Silvio C. Ferreira

Different countries -- and sometimes different regions within the same countries -- have adopted different strategies in trying to contain the ongoing COVID-19 epidemic; these mix in variable parts social confinement, early detection and…

种群与进化 · 定量生物学 2020-07-17 Giuseppe Gaeta

This document aims to estimate and describe the effects of the social distancing measures implemented in several countries with the expectancy of controlling the spread of COVID-19. The procedure relies on the classic…

种群与进化 · 定量生物学 2021-06-28 Gerardo L. Febres

The Covid-19 pandemic has spread across the world since the beginning of 2020. Many regions have experienced its effects. The state of South Carolina in the USA has seen cases since early March 2020 and a primary peak in early April 2020. A…

应用统计 · 统计学 2021-06-09 Andrew B. Lawson , Joanne Kim

The COVID-19 pandemic has had a great impact in most countries worldwide, in particular impacting Chile greatly to become one of the worst hit countries in the world, despite its low population compared to other affected countries around…

The COVID-19 disease has forced countries to make a considerable collaborative effort between scientists and governments to provide indicators to suitable follow-up the pandemic's consequences. Mathematical modeling plays a crucial role in…

种群与进化 · 定量生物学 2020-12-29 Patricio Cumsille , Oscar Rojas-Díaz , Pablo Moisset de Espanés

India was under a grave threat from the second wave of the COVID-19 pandemic particularly in the beginning of May 2021. The situation appeared rather gloomy as the number of infected individuals/active cases had increased alarmingly during…

物理与社会 · 物理学 2022-02-02 R. Gopal , V. K. Chandrasekar , M. Lakshmanan