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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A Multiregion Discrete-Time Epidemic Model of Mycobacterium tuberculosis Infections: An Optimal Control Approach by Rachid Bouajaji, Hassan Laarabi, Mostafa Rachik, Abdelhadi Abta

“…We focus in our study to control the outbreaks of an epidemic that affects a hypothetical population belonging to a specific region. …”
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A SEIR Epidemic Model of Whooping Cough-Like Infections and Its Dynamically Consistent Approximation by M.M. Alqarni, Arooj Nasir, Maryam Ahmed Alyami, Ali Raza, Jan Awrejcewicz, Muhammad Rafiq, Nauman Ahmed, Tahira Sumbal Shaikh, Emad E. Mahmoud

“…Furthermore, an implicit numerical integration scheme is suitable for studying a particular epidemic model such as the whooping cough disease.…”
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Dynamical Behavior of Stochastic Markov Switching Hepatitis B Epidemic Model with Saturated Incidence Rate by Chun Lu

“…The article researches a stochastic hepatitis B epidemic model with saturated incidence rate, which is perturbed by both white noise and colored noise. …”
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Modeling and analysis of the San Francisco City Clinic Cohort (SFCCC) HIV-epidemic including treatment by Brandy Rapatski, Juan Tolosa

“…We investigate two HIV/AIDS epidemic models.The first model represents the early San Franciscomen having sex with men (MSM) epidemic.We use data from the San Francisco City Clinic Cohort Study (SFCCC), documentingthe onset of HIV in San Francisco (1978-1984).The second model is a ``what-if'' scenario model includingtesting and treatment in the SFCCC epidemic.We use compartmental, population-level models,described by systems ofordinary differential equations.We find the basic reproductive number $R_0$ for each system,and we prove that if $R_0<1 the="" system="" has="" only="" the="" disease-free="" equilibrium="" dfe="" which="" is="" locally="" and="" globally="" stable="" whereas="" if="" r_0="">1$, the DFE is unstable.In addition, when $R_0>1$, both systems have a unique endemic equilibrium (EE).We show that treatment alone would not have stopped the San Francisco MSM epidemic,but would have significantly reduced its impact.…”
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Duplex qPCR for detecting and differentiating porcine epidemic diarrhea virus GI and GII subtypes by Bin Wang, Wang Han, Di Wu, Yue Jing, Li Ma, Feiyang Jiang, Shusen Ji, Lianmei Bai, Xiuju Yu, Wei Hou, Shouyu Wang, Haidong Wang

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Modeling control strategies for concurrent epidemics of seasonal and pandemic H1N1 influenza by Olivia Prosper, Omar Saucedo, Doria Thompson, Griselle Torres-Garcia, Xiaohong Wang, Carlos Castillo-Chavez

“…The lessons learned from the 2009-2010 H1N1 influenza pandemic, as it moves out of the limelight, should not be under-estimated, particularly since the probability of novel influenza epidemics in the near future is not negligible and the potential consequences might be huge. …”
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