Theoretical assessment of the relative incidences of sensitive andresistant tuberculosis epidemic in presence of drug treatment by Silvia Martorano Raimundo, Hyun Mo Yang, Ezio Venturino

“…Despite the availability of effective treatment, tuberculosis (TB)remains a major global cause of mortality.Multidrug-resistant tuberculosis (MDR-TB) is a form of TB thatis resistant to at least two drugs used for the treatment of TB,and originally is developed when a case of drug-susceptibleTB is improperly or incompletely treated.This work is concerned with a mathematical model to evaluate the effect ofMDR-TB on TB epidemic and its control.The model assessing the transmission dynamics of both drug-sensitive anddrug-resistant TB includes slow TB(cases that result from endogenous reactivation of susceptible andresistant latent infections). …”
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A new epidemic model of sexually transmittable diseases: a fractional numerical approach by Mudassar Rafique, Muhammad Aziz Ur Rehamn, Aisha M. Alqahtani, Muhammad Rafiq, A. F. Aljohani, Zafar Iqbal, Nauman Ahmed, Shafiullah Niazai, Ilyas Khan

Subjects: “…New epidemic model…”
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Classical swine fever: retrospective analysis of epidemic situation in Russian Federation (1996-2015) by A. S. Oganesyan, A. A. Shevtsov, M. A. Shibayev, F. L. Korennoy, N. E. Baskakova, A. K. Karaulov

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The Credit Risk Contagion Mechanism of Financial Guarantee Network: An Application of the SEIR-Epidemic Model by Guojian Ma, Juan Ding, Youqing Lv

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Rhodotorula Endogenous Endophthalmitis: A Novel Harbinger of the Injection Drug Epidemic in the United States by Preston M. Luong, Basilio Kalpakian, Lawrence J. Jaeger, Timothy Lahey, Christopher B. Chapman, Michael E. Zegans

“…Endogenous endophthalmitis is a rare but feared infectious ocular complication of injection drug use (IDU). The recent opioid epidemic in the United States threatens to increase the incidence of this disease. …”
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Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics by Theyazn H. H. Aldhyani, Manish R. Joshi, Shahab A. AlMaaytah, Ahmed Abdullah Alqarni, Nizar Alsharif

“…Such subtypes of influenza have the potential to cause devastating epidemics. Thus, enhancing surveillance systems for the purpose of detecting influenza epidemics in an early stage can quicken response times and save millions of lives. …”
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Computational Study of a Fractional-Order HIV Epidemic Model with Latent Phase and Treatment by Sana Abdulkream Alharbi, Nada A. Almuallem

“…Our findings illustrate the efficacy of the fractional model in depicting the dynamics of the HIV/AIDS epidemic and offering critical insights for the formulation of effective control strategies. …”
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Dynamical analysis of a complex competitive two-strain epidemic network model with vaccination by A. Abdelkhalek, A.H. Abdel Kader, I.L. El-Kalla, A. Elsaid, Amr Elsonbaty, K.S. Nisar

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HIV/AIDS epidemic in India and predicting the impact of the national response: Mathematical modeling and analysis by Arni S. R. Srinivasa Rao, Kurien Thomas, Kurapati Sudhakar, Philip K. Maini

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A New Coupled Awareness-Epidemic Spreading Model with Neighbor Behavior on Multiplex Networks by Chao Zuo, Anjing Wang, Fenping Zhu, Zeyang Meng, Xueke Zhao

“…We examine the effects of these interventions based on modeling of the awareness-epidemic and the COVID-19 epidemic case. The results further demonstrate that the epidemic spreading can be affected by the effective transmission rate of the awareness and neighbors’ behavior status.…”
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Beyond the “I” in the Obesity Epidemic: A Review of Social Relational and Network Interventions on Obesity by Janette S. Leroux, Spencer Moore, Laurette Dubé

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Optimal control and analysis of a stochastic SEIR epidemic model with nonlinear incidence and treatment by Jinji Du, Chuangliang Qin, Yuanxian Hui

“…In this paper, we represented the optimal control and dynamics of a stochastic SEIR epidemic model with nonlinear incidence and treatment rate. …”
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Effects of Resource Limitations and Cost Influences on Computer Virus Epidemic Dynamics and Tipping Points by Chung-Yuan Huang, Chuen-Tsai Sun

“…One of the most important assessment indicators of computer virus infections is epidemic tipping point. Although many researchers have focused on the effects of scale-free network power-law connectivity distributions on computer virus epidemic dynamics and tipping points, few have comprehensively considered resource limitations and costs. …”
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Role of digital technology in epidemic control: a scoping review on COVID-19 and Ebola by Amanuel Adugna, Gossa Fetene Abebe, Desalegn Girma, Melsew Setegn Alie, Tewodros Yosef, Daniel Asmelash, Dorka Dessalegn

“…While the adoption of these technologies has lagged in public health compared with other sectors, tools such as artificial intelligence, telehealth, wearable devices and data analytics offer significant potential to enhance epidemic responses. However, barriers to widespread implementation remain, and investments in digital infrastructure, training and strong data protection are needed to build trust among users. …”
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Global dynamics of a general class of multi-group epidemic models with latency and relapse by Xiaomei Feng, Zhidong Teng, Fengqin Zhang

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SOR-Like New Iterative Method for Solving the Epidemic Model and the Prey and Predator Problem by Atika Radid, Karim Rhofir

“…The first one is the problem of the spread of a nonfatal disease in a population which is assumed to have constant size over the period of the epidemic, and the other one is the problem of prey and predator. …”
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Comparison of Vaccination Regimens on Immune Responses Using PED Replicon Vaccine: A Field Trial in PED-Negative and PED-Positive Thai Swine Farms by Chaitawat Sirisereewan, Thanh Che Nguyen, Nanthiya Iampraphat, Hongyao Lin, Leonardo Ellerma, Pisit Sirithanyakul, Roongtham Kedkovid, Roongroje Thanawongnuwech

Subjects: “…porcine epidemic diarrhea…”
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A Data-Driven Air Transportation Delay Propagation Model Using Epidemic Process Models by B. Baspinar, E. Koyuncu

“…In order to understand the behavior of the delay propagation over the network at different levels, we have constructed two different data-driven epidemic models approximating the dynamics of the system: (a) flight-based epidemic model and (b) airport-based epidemic model. …”
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Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19 by Guokang Zhu, Jia Li, Zi Meng, Yi Yu, Yanan Li, Xiao Tang, Yuling Dong, Guangxin Sun, Rui Zhou, Hui Wang, Kongqiao Wang, Wang Huang

“…In this study, we propose a framework, which is based on the heart rate and sleep data collected from wearable devices, to predict the epidemic trend of COVID-19 in different countries and cities. …”
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$R_0$ and the global behavior of an age-structured SIS epidemic model with periodicity and vertical transmission by Toshikazu Kuniya, Mimmo Iannelli

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