The impact of a power law-induced memory effect on the SARS-CoV-2 transmission [0.03%]
幂律诱导的记忆效应对于SARS-CoV-2传播的影响
Tahajuddin Sk,Santosh Biswas,Tridip Sardar
Tahajuddin Sk
It is well established that COVID-19 incidence data follows some power law growth pattern. Therefore, it is natural to believe that the COVID-19 transmission process follows some power law. However, we found no existing model on COVID-19 wi...
Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics [0.03%]
高阶交互多重网络揭示集体行为对流行病传播的影响
Jinming Wan,Genki Ichinose,Michael Small et al.
Jinming Wan et al.
The ongoing COVID-19 pandemic has inflicted tremendous economic and societal losses. In the absence of pharmaceutical interventions, the population behavioral response, including situational awareness and adherence to non-pharmaceutical int...
Data-assimilation and state estimation for contact-based spreading processes using the ensemble kalman filter: Application to COVID-19 [0.03%]
基于接触传播过程的数据同化与状态估计以及在COVID-19中的应用研究
A Schaum,R Bernal-Jaquez,L Alarcon Ramos
A Schaum
The main aim of the present paper is threefold. First, it aims at presenting an extended contact-based model for the description of the spread of contagious diseases in complex networks with consideration of asymptomatic evolutions. Second,...
Hasib Khan,Farooq Ahmad,Osman Tunç et al.
Hasib Khan et al.
In this article, we are studying a Covid-19 mathematical model in the fractal-fractional sense of operators for the existence of solution, Hyers-Ulam (HU) stability and computational results. For the qualitative analysis, we convert the mod...
A El-Mesady,Amr Elsonbaty,Waleed Adel
A El-Mesady
In this work, we examine a fractional-order model for simulating the spread of the monkeypox virus in the human host and rodent populations. The employment of the fractional form of the model gives a better insight into the dynamics and spr...
Alan D S Gonçalves,Leonardo H S Fernandes,Abraão D C Nascimento
Alan D S Gonçalves
The pandemic COVID-19 brings with it the need for studies and tools to help those in charge make decisions. Working with classical time series methods such as ARIMA and SARIMA has shown promising results in the first studies of COVID-19. We...
How many asymptomatic cases were unconfirmed in the US COVID-19 pandemic? The evidence from a serological survey [0.03%]
美国新冠大流行期间的无症状感染病例有多少未能被发现？血清学调查给出证据
Junyang Cai,Jian Zhou
Junyang Cai
A serological survey from CDC revealed more than 10% of individuals in America probably resolving or past infection with SARS-CoV-2 at the end of 2020, which illustrated there were massive unconfirmed asymptomatic infected people by contras...
Stochastic SIR model predicts the evolution of COVID-19 epidemics from public health and wastewater data in small and medium-sized municipalities: A one year study [0.03%]
基于公共卫生和废水数据的随机SIR模型预测了COVID-19在中小城镇中的疫情发展：一项为期一年的研究
Manuel Pájaro,Noelia M Fajar,Antonio A Alonso et al.
Manuel Pájaro et al.
The level of unpredictability of the COVID-19 pandemics poses a challenge to effectively model its dynamic evolution. In this study we incorporate the inherent stochasticity of the SARS-CoV-2 virus spread by reinterpreting the classical com...
The effect of COVID-19 pandemic on return-volume and return-volatility relationships in cryptocurrency markets [0.03%]
COVID-19疫情对加密货币市场中的收益-波动关系的影响
Parisa Foroutan,Salim Lahmiri
Parisa Foroutan
Understanding the dynamics of cryptocurrency markets during financial crises such as the recent one caused by the COVID-19 pandemic is crucial for policy makers and investors. In this study, the effect of COVID-19 pandemic on the return-vol...
Dumitru Baleanu,Hari Mohan Srivastava,Carlo Cattani
Dumitru Baleanu