The Number of Patients with Acute Myocardial Infarction Decreased and Door-to-Balloon Time Delayed in COVID-19 by Tianyi Ma, Yuli Huang, Wensheng Li, Jianghua Zhong, Hui Yang, Yilei Zhou, Meijun Li, Wenhao Zhong, Yue Cao, Shijuan Lu, Yunzhao Hu

“…During the COVID-19 epidemic, the treatment of patients with acute myocardial infarction (AMI) may be affected. …”
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A qualitative study of psychological status among nurses during the closed-off management for prevention and control of COVID-19 (疫情防控闭环管理期间血透室护理人员心理状态的质性研究)... by GE Yan (葛颜), WANG Aili (王爱丽), LYU Xiujuan (吕秀娟), ZHAO Wen (赵雯), GE Xiaojun (葛晓君)

“…Conclusion Nurses are vulnerable to developing negative emotions when facing the epidemic situation. Efforts should be made to improve coping mechanisms, provide emotional guidance and build nurses’ confidence in overcoming the epidemic. …”
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Yellow Fever: It worth a review in the current epidemiological context by Miguel Ángel Serra Valdés

“…The Republic of Angola, with which we have a close relation of friendship and collaboration, is immersed in a clear epidemic of yellow fever. We have in common the transmitting vector. …”
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La recrudescence des coupes rases en Morvan (2011-2020) : un mitage de la forêt sur fond de crise des scolytes by Adrien Baysse-Lainé, Antoine Reynaud

“…The increase in the number of clearcuts and the surface areas concerned is largely due to the spruce bark beetle epidemic, while the other clearcuts are conversions of hardwood stands and harvests of economically mature softwood stands. …”
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Projecting the Spread of COVID-19 for Germany by Jean Roch Donsimoni, René Glawion, Bodo Plachter, Klaus Wälde

“…For all scenarios, they report the expected end of the COVID-19 epidemic.…”
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Spectral study of COVID-19 pandemic in Japan: The dependence of spectral gradient on the population size of the community. by Ayako Sumi, Masayuki Koyama, Manato Katagiri, Norio Ohtomo

“…The results confirm that the power spectral densities (PSDs) of the data from each prefecture show exponential characteristics, which are universally observed in the PSDs of time series generated by nonlinear dynamical systems, such as the susceptible/exposed/infectious/recovered (SEIR) epidemic model. The exponential gradient increases with the population size. …”
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Das capitais às comunidades tradicionais. Fases de interiorização da Covid-19 na Amazônia brasileira by João Paulo Soares De Cortes, Rui Massato Harayama, Emilie Stoll

“…This work aims to investigate the process of interiorization of the epidemic caused by the SARS COV 2 virus in the Amazon region, using epidemiological weeks as the temporal unit. …”
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ANALYSIS AND EVALUATION OF MEASURES TAKEN AT THE FEDERAL AND REGIONAL LEVELS OF GOVERNMENT FOR THE EXIT OF THE RUSSIAN ECONOMY FROM THE PANDEMIC by D. A. Kurapov, A. A. Konusova, E. A. Khalimon

“…The COVID-19 epidemic has become a serious challenge for the economies of all countries of the world. …”
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Network security threat warning method based on qualitative differential game by Shirui HUANG, Hengwei ZHANG, Jindong WANG, Ruiyu DOU

“…Most current network security research based on game theory adopts the static game or multi-stage dynamic game model,which does not accord with the real-time change and continuity of the actual network attack-defense process.To make security threats warning more consistent with the attack-defense process,the threat propagation process was analyzed referring to the epidemic model.Then the network attack-defense game model was constructed based on the qualitative differential game theory,by which the evolution of the network security state could be predicted.Based on the model,the qualitative differential game solution method was designed to construct the attack-defense barrier and divide the capture area.Furthermore,the threat severity in different security states were evaluated by introducing multidimensional Euclidean distance.By designing the warning algorithm,the dynamic warning of the network security threat was realized,which had better accuracy and timeliness.Finally,simulation results verify the effectiveness of the proposed algorithm and model.…”
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Effects of isolation and slaughter strategies in different species on emerging zoonoses by Jing-An Cui, Fangyuan Chen

“…We analyzed the effects of these three strategies on control reproductive numbers and equilibriums and we took avian influenza epidemic in China as an example to show the impacts of the strategies on emerging zoonoses in different areas at beginning.…”
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Global Hopf Bifurcation Analysis for an Avian Influenza Virus Propagation Model with Nonlinear Incidence Rate and Delay by Yanhui Zhai, Ying Xiong, Xiaona Ma, Haiyun Bai

“…The paper investigated an avian influenza virus propagation model with nonlinear incidence rate and delay based on SIR epidemic model. We regard delay as bifurcating parameter to study the dynamical behaviors. …”
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Flow, Wind, and Stochastic Connectivity Modeling Infectious Diseases by C. Udriste, I. Tevy, A. S. Rasheed

“…We are interested in mathematical analysis, bringing new results on studied evolutionary models: infection flow together with a differential inclusion, bounds of evolution, dual description of disease evolution, log-optimal and rapid path, epidemic wind (geometric dynamics), stochastic equations of evolution, and stochastic connectivity. …”
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Attention to children with bronchiolitis: general clinical-therapeutic considerations by Juan Carlos Yanes Macías, Mercedes Fonseca Hernandez, Ileana García Rodriguez, Caridad Llul Tombo, Daimy Tio González, Juan Camilo Díaz Ceballos

“…Acute bronchiolitis represents a significant demand for care, not only in primary care, but also at the hospital level, with high assistance requirements in the emergency area and a significant number of admissions in epidemic times, which causes great economic costs . …”
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Body Fat and Health: How Can I Tell if I am at Risk for Health Problems? by Kohrine A. Counts, Anne E. Mathews

“… Obesity is called an epidemic because there is a high rate of obesity in the United States. …”
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Deep Learning Model for Predicting Spreading Rates of Pandemics, “COVID-19 as Case Study” by Maha A. Al-Bayati

“…Machine learning (ML) and deep learning (DL) can be deployed to facilitate tracking disease, anticipating the increase in epidemic, and hence planning for coverage techniques to control its spread. …”
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Nonlinear Fluctuation Behavior of Financial Time Series Model by Statistical Physics System by Wuyang Cheng, Jun Wang

“…Contact process is a continuous time Markov process; one interpretation of this model is as a model for the spread of an infection, where the epidemic spreading mimics the interplay of local infections and recovery of individuals. …”
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Influenza A (H1N1). Radiological Patterns by Dianarelys Villafuerte Delgado, Carlos García Gómez, Thaimi Conde Cueto, Odalis Yanes Ysray, Martha Yudey Rodriguez Pino

“…The influenza A (H1N1) has a wide radiological spectrum, difficult to differentiate from other epidemic respiratory diseases. One of the distinctive elements seems to be the quick evolution of the imagenologic lesions in the sick persons, as well as the slow resolution of these manifestations. …”
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Global stability of a multi-group model with vaccination age, distributed delay and random perturbation by Jinhu Xu, Yicang Zhou

“…A multi-group epidemic model withdistributed delay and vaccination age has been formulated and studied.Mathematical analysis shows that the global dynamics of the model is determinedby the basic reproduction number $\mathcal{R}_0$:the disease-free equilibrium is globally asymptotically stable if $\mathcal{R}_0\leq1$,and the endemic equilibrium is globally asymptotically stable if $\mathcal{R}_0>1$.Lyapunov functionals are constructed by the non-negative matrix theory and a novel grouping techniqueto establish the global stability.The stochastic perturbation of the model is studied and it is provedthat the endemic equilibrium of the stochastic model is stochastically asymptotically stablein the large under certain conditions.…”
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Nonalcoholic Fatty Liver Disease Cirrhosis: A Review of Its Epidemiology, Risk Factors, Clinical Presentation, Diagnosis, Management, and Prognosis by Bei Li, Chuan Zhang, Yu-Tao Zhan

“…Cirrhosis is the common end stage of a number of chronic liver conditions and a significant cause of morbidity and mortality. With the growing epidemic of obesity and metabolic syndrome, nonalcoholic fatty liver disease (NAFLD) has become the most common cause of chronic liver disease worldwide and will become one of the leading causes of cirrhosis. …”
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Psychosocial Interventions in Emergency Periods of Disasters by Memduha Aydın, Kürşat Altınbaş, Hazan Tomar Bozkurt, Zeynep Çalış

“…Recently, the Covid-19 epidemic has been on the agenda of the whole world as a global disaster and its effects are still ongoing. …”
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