Global dynamics of a network-based SIQS epidemic model with nonmonotone incidence rate [0.03%]
基于网络的具有非单调发生率的SIQS传染病模型的全局动力学分析
Xinxin Cheng,Yi Wang,Gang Huang
Xinxin Cheng
The risk of propagation of infectious diseases such as avian influenza and COVID-19 is generally controlled or reduced by quarantine measures. Considering this situation, a network-based SIQS (susceptible-infected-quarantined-susceptible) i...
A fractional-order model for COVID-19 and tuberculosis co-infection using Atangana-Baleanu derivative [0.03%]
用于COVID-19和结核病共感染的Atangana-Baleanu导数的分数阶模型
A Omame,M Abbas,C P Onyenegecha
A Omame
This paper considers and analyzes a fractional order model for COVID-19 and tuberculosis co-infection, using the Atangana-Baleanu derivative. The existence and uniqueness of the model solutions are established by applying the fixed point th...
Ranking non-pharmaceutical interventions against Covid-19 global pandemic using global sensitivity analysis-Effect on number of deaths [0.03%]
使用全球敏感性分析对非药物干预措施针对COVID-19全球大流行进行排名-对死亡人数的影响
Kalpana Hanthanan Arachchilage,Mohammed Yousuff Hussaini
Kalpana Hanthanan Arachchilage
In this study, we use Global Sensitivity Analysis (GSA) to rank four non-pharmaceutical interventions (NPIs) in a deterministic compartmental model that might control Covid-19 related deaths in the United States. The NPIs are social distanc...
A fractional-order model of COVID-19 considering the fear effect of the media and social networks on the community [0.03%]
考虑媒体和社会网络对社区的恐惧效应的COVID-19分数阶模型
Fatma Bozkurt,Ali Yousef,Thabet Abdeljawad et al.
Fatma Bozkurt et al.
Since December 2019, the world has experienced from a virus, known as Covid-19, that is highly transmittable and is now spread worldwide. Many mathematical models and studies have been implemented to work on the infection and transmission r...
Predicting the trend of indicators related to Covid-19 using the combined MLP-MC model [0.03%]
基于MLP-MC组合模型的新冠肺炎相关指标趋势预测
Fatemeh Haghighat
Fatemeh Haghighat
Although more than a year has passed since the coronavirus outbreak globally, the Covid-19 pandemic conditions still exist in many countries, including Iran. Predicting the number of future patients and deaths can help governments and polic...
A data-driven model for COVID-19 pandemic - Evolution of the attack rate and prognosis for Brazil [0.03%]
一种用于COVID-19大流行的数据驱动模型-巴西疫情攻击率及其预后变化模型
T M Rocha Filho,M A Moret,C C Chow et al.
T M Rocha Filho et al.
We introduce a compartmental model SEIAHRV (Susceptible, Exposed, Infected, Asymptomatic, Hospitalized, Recovered, Vaccinated) with age structure for the spread of the SARAS-CoV virus. In order to model current different vaccines we use com...
Leveraging weather data for forecasting cases-to-mortality rates due to COVID-19 [0.03%]
利用天气数据预测COVID-19的病例至死亡率
Ogechukwu Iloanusi,Arun Ross
Ogechukwu Iloanusi
There are several recent publications criticizing the failure of COVID-19 forecasting models, with swinging over predictions and underpredictions, which have made it difficult for decision and policy making. Observing the failures of severa...
Stochastic probical strategies in a delay virus infection model to combat COVID-19 [0.03%]
用于对抗COVID-19的延迟病毒感染模型中的随机概率策略
M Pitchaimani,M Brasanna Devi
M Pitchaimani
In disease model systems, random noises and time delay factors play key role in interpreting disease dynamics to comprehend deeper insights into the course of dynamics. An endeavor to forecast intercellular behavioral dynamics of SARS-CoV-2...
Responses to COVID-19 in South Asian Association for Regional Cooperation (SAARC) countries in 2020, a data analysis during a world of crises [0.03%]
新冠肺炎疫情下的南亚危机应对——2020年南亚区域合作联盟各国防疫数据分析报告
Yashpal Singh Malik,Vinodhkumar Obli Rajendran,Ikram Ma et al.
Yashpal Singh Malik et al.
Coronavirus disease (COVID-19) caused by SARS-CoV-2 was notified from Wuhan city, Hubei province, China in the mid of December 2019. The disease is showing dynamic change in the pattern of confirmed cases and death toll in these low and mid...
C+EffxNet: A novel hybrid approach for COVID-19 diagnosis on CT images based on CBAM and EfficientNet [0.03%]
基于CBAM和EfficientNet的CT图像新冠肺炎诊断的新颖混合方法C+EffxNetBarivia相关论文标题翻译挑战：英文论文标题要求直接翻译，不能省略任何词，不能增加任何词，不能对句子进行语序调整。但中文习惯表达与此不同，导致直译的中文标题可读性较差。例如，会有多余的“基于”、“的”的使用，不符合惯用搭配的习惯，出现主谓不匹配或冗长啰嗦等问题。
Murat Canayaz
Murat Canayaz
COVID-19, one of the biggest diseases of our age, continues to spread rapidly around the world. Studies continue rapidly for the diagnosis and treatment of this disease. It is of great importance that individuals who are infected with this ...