Article
Multidisciplinary Sciences
Rocio Balderrama, Javier Peressutti, Juan Pablo Pinasco, Federico Vazquez, Constanza Sanchez de la Vega
Summary: This study investigates optimal strategies for minimizing the impact of an epidemic with a limited duration of quarantine. The control is done by varying the reproduction number, and the optimal solution is a single bang-bang. The optimal time for strict quarantine depends on various factors.
SCIENTIFIC REPORTS
(2022)
Article
Physics, Multidisciplinary
Yushu Chen, Ying Liu, Ming Tang, Ying-Cheng Lai
Summary: Human travel is a contributing factor to epidemic spreading. By studying the impact of non-Markovian travel on epidemic dynamics, the authors find that the epidemic threshold can be maximized by a proper travel level and exhibits a two-threshold phenomenon, which provides insight into understanding and controlling real epidemics.
COMMUNICATIONS PHYSICS
(2023)
Article
Virology
Noor-Adila Mohamed-Romai-Noor, Sing-Sin Sam, Boon-Teong Teoh, Zur-Raiha Hamim, Sazaly AbuBakar
Summary: Genetic analysis revealed unique amino acid substitutions in the GETV GIII and GIV groups, potentially affecting their virulence and epidemic potential. Furthermore, epidemic GETV strains showed higher replication rates and titers in cells, leading to more pronounced cytopathic effects compared to non-epidemic strains.
Article
Physics, Fluids & Plasmas
Abbas K. Rizi, Ali Faqeeh, Arash Badie-Modiri, Mikko Kivela
Summary: Contact tracing via digital tracking applications is an important tool for controlling epidemic spreading. This study shows that the effectiveness of this tool is influenced by various parameters such as degree distributions, number of users, and quarantine failure probabilities. The results indicate that different parameter values can result in major differences in epidemic size and spread probabilities. Degree heterogeneity is particularly important for the epidemic threshold. Both homophily and heterophily with regard to application adoption can have detrimental effects. Overall, the dynamics of epidemics are highly sensitive to parameter values, making the estimation of the effect of digital contact tracing a multidimensional problem.
Article
Public, Environmental & Occupational Health
X. Chen, M. P. Kunasekaran, D. Hutchinson, H. Stone, T. Zhang, J. Aagerup, A. Moa, C. R. Macintyre
Summary: The study aimed to enhance the EPIRISK tool for accurately predicting the severity of COVID-19 in different countries. By modifying the original tool and adding parameters related to leadership, culture, and universal health coverage, the enhanced EPIRISK tool correctly predicted the risk levels of COVID-19 in different countries and historical outbreaks. This multifactorial tool can assist with early epidemic preparedness and prioritizing response to infectious disease outbreaks.
Article
Economics
Zhen Yu, Yuankun Li, Xubin Xie
Summary: The study found that pandemics have a significant long-term negative impact on the export of affected countries, taking at least five years to recover to pre-pandemic levels. The prejudice generated by pandemics has long-lasting adverse effects on exports, with a more pronounced negative impact on trading partners with greater linguistic and cultural differences, weaker political ties, and larger income gaps.
ECONOMIC ANALYSIS AND POLICY
(2021)
Article
Biology
Michael J. Plank
Summary: Countries like New Zealand, Australia, and Taiwan have adopted an elimination strategy to combat the Covid-19 pandemic by implementing strict border controls and rapidly responding to eliminate border-related re-introductions. Decision-makers face the challenge of determining the appropriate threshold for implementing strict control measures when a re-introduction occurs. This study uses a highly idealized model to identify factors that impact the choice of threshold and minimize the duration of control measures.
MATHEMATICAL BIOSCIENCES
(2022)
Article
Physics, Fluids & Plasmas
Alexei Vazquez
Summary: The author derived a single equation for the effective reproductive number of an infectious disease outbreak using a multitype branching and graph tensor product approach, which deconvoluted the impact of crowd management, targeted testing, contact heterogeneity, stratified vaccination, mask use, and smartphone tracing app use. This equation can be used to gain a basic understanding of infectious disease outbreaks and their simulations.
Article
Immunology
Bing-ke Bai, Qi-yu Jiang, Jun Hou
Summary: The COVID-19 epidemic has had an impact on other infectious diseases in China, with a higher decline rate observed for respiratory infectious diseases compared to diseases transmitted through the digestive tract and animal-borne diseases. The measures implemented by the Chinese government to prevent the spread of SARS-CoV-2 have proven effective not only in preventing the spread of respiratory infectious diseases, but also to some extent in preventing the spread of notifiable infectious diseases through other routes.
MICROBES AND INFECTION
(2022)
Article
Chemistry, Analytical
Yingxue Li, Xin Chen, Yongjuan Zhao, Zhenzhou Wan, Yi Zeng, Yingying Ma, Lianqun Zhou, Gaolian Xu, Julien Reboud, Jonathan Cooper, Chiyu Zhang
Summary: HIV remains a major burden on global public health, with rapid and sensitive point-of-care tests being crucial for disease control. The highly variable nature of the virus poses important challenges for diagnosis, but the new variant-tolerant HIV-1 RT-LAMP diagnostic test shows high sensitivity and specificity, demonstrating future potential for timely and cost-effective HIV diagnostics.
Article
Mathematics, Applied
Amer M. Salman, Mohd Hafiz Mohd, Ahmed Muhammad
Summary: Understanding the behaviour of nonlinear dynamical systems is crucial in epidemiological modelling. This paper investigates the stability analysis and dynamics of a reaction-diffusion SVIR model with partial immunity. Numerical simulation is performed to identify factors affecting the dynamics of the epidemiological model, highlighting the importance of transmission rates, vaccination, and treatment strategies. The use of numerical range techniques provides a comprehensive understanding of the eigenvalue spectrum, overcoming challenges associated with discretisation.
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
(2023)
Article
Robotics
Runsang Liu, Hui Yang
Summary: This study develops new tessellation algorithms for decision support in epidemic resource allocation and management. The methodology estimates resource locations and coverage based on the spatial analysis of heterogeneous infection distribution. The proposed algorithms have strong potentials for epidemic decision support in infection modelling and resource allocation.
IEEE ROBOTICS AND AUTOMATION LETTERS
(2022)
Article
Multidisciplinary Sciences
Xinwu Qian, Lijun Sun, Satish V. Ukkusuri
Summary: The study utilized smart card data to construct contact networks among metro travelers in three megacities in China, revealing similar network structures that are associated with the risk level of communicable diseases. The findings emphasize the vulnerability of urban mass transit systems during disease outbreaks and suggest important planning and operation strategies for mitigating the risk of communicable diseases.
SCIENTIFIC REPORTS
(2021)
Article
Medicine, General & Internal
Heather F. Gidding, Dorothy A. Machalek, Alexandra J. Hendry, Helen E. Quinn, Kaitlyn Vette, Frank H. Beard, Hannah S. Shilling, Rena Hirani, Iain B. Gosbell, David O. Irving, Linda Hueston, Marnie Downes, John B. Carlin, Matthew V. N. O'Sullivan, Dominic E. Dwyer, John M. Kaldor, Kristine Macartney
Summary: The study estimated SARS-CoV-2-specific antibody seroprevalence in Sydney after the first epidemic wave of COVID-19, with results showing a prevalence below 1%, indicating low community transmission. Early control measures were successful in limiting the spread of COVID-19, but ongoing efforts to reduce transmission are still crucial.
MEDICAL JOURNAL OF AUSTRALIA
(2021)
Article
Mathematics, Interdisciplinary Applications
Mohammad Sharif Ullah, M. Higazy, K. M. Ariful Kabir
Summary: The spread and control of the novel coronavirus is a significant global challenge. Through mathematical modeling and analysis, this study highlights the importance of control measures such as lockdown, self-protection, social distancing, and isolation in controlling the pandemic.
CHAOS SOLITONS & FRACTALS
(2022)
