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Articles 1 - 6 of 6
Full-Text Articles in Medicine and Health Sciences
Controlling Multiple Covid-19 Epidemic Waves: An Insight From A Multi-Scale Model Linking The Behaviour Change Dynamics To The Disease Transmission Dynamics, Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao
Controlling Multiple Covid-19 Epidemic Waves: An Insight From A Multi-Scale Model Linking The Behaviour Change Dynamics To The Disease Transmission Dynamics, Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao
Student and Faculty Publications
COVID-19 epidemics exhibited multiple waves regionally and globally since 2020. It is important to understand the insight and underlying mechanisms of the multiple waves of COVID-19 epidemics in order to design more efficient non-pharmaceutical interventions (NPIs) and vaccination strategies to prevent future waves. We propose a multi-scale model by linking the behaviour change dynamics to the disease transmission dynamics to investigate the effect of behaviour dynamics on COVID-19 epidemics using game theory. The proposed multi-scale models are calibrated and key parameters related to disease transmission dynamics and behavioural dynamics with/without vaccination are estimated based on COVID-19 epidemic data (daily reported …
Could Cultures Determine The Course Of Epidemics And Explain Waves Of Covid-19?, Md Salman Rahman
Could Cultures Determine The Course Of Epidemics And Explain Waves Of Covid-19?, Md Salman Rahman
Theses and Dissertations
Coronavirus Disease (COVID-19), caused by the SARS-CoV-2 virus, is an infectious disease that quickly became a pandemic spreading with different patterns in each country. Travel bans, lockdowns, social distancing, and non-essential business closures caused significant economic disruptions and stalled growth worldwide in the pandemic’s first year. In almost every country, public health officials forced and/or encouraged Nonpharmaceutical Interventions (NPIs) such as contact tracing, social distancing, masks, and quarantine. Human behavioral decision-making regarding social isolation significantly impedes global success in containing the pandemic. This thesis focuses on human behaviors and cultures related to the decision-making of social isolation during the pandemic. …
An Epidemic Model With Time-Distributed Recovery And Death Rates, Samiran Ghosh, Vitaly Volpert, Malay Banerjee
An Epidemic Model With Time-Distributed Recovery And Death Rates, Samiran Ghosh, Vitaly Volpert, Malay Banerjee
Student and Faculty Publications
A compartmental epidemiological model with distributed recovery and death rates is proposed. In some particular cases, the model can be reduced to the conventional SIR model. However, in general, the dynamics of epidemic progression in this model is different. Distributed recovery and death rates are evaluated from COVID-19 data. The model is validated by the epidemiological data for different countries, and it shows better agreement with the data than the SIR model. The time-dependent disease transmission rate is estimated.
Epidemiology In Higher Education: Scarlet Fever At Gettysburg College, Addison E. Lomax
Epidemiology In Higher Education: Scarlet Fever At Gettysburg College, Addison E. Lomax
Student Publications
Throughout the early 20th century, the relationship between higher education and the spread of epidemic disease evolved in the United States. Two notable epidemics of scarlet fever in 1915 and 1920 serve as a lens through which the larger roles of disease and higher education can be analyzed. By assessing the roles both the administration and the students played at Gettysburg College, then Pennsylvania College, historians can understand the process of combating health crises in the future. Although the Pennsylvania College scarlet fever epidemics of 1915 and 1920 impacted campus to a smaller extent than the 2020 COVID-19 pandemic, the …
Spatial Epidemiology: An Empirical Framework For Syndemics Research, Shikhar Shrestha, Cici X C Bauer, Brian Hendricks, Thomas J Stopka
Spatial Epidemiology: An Empirical Framework For Syndemics Research, Shikhar Shrestha, Cici X C Bauer, Brian Hendricks, Thomas J Stopka
Student and Faculty Publications
Syndemics framework describes two or more co-occurring epidemics that synergistically interact with each other and the complex structural social forces that sustain them leading to excess disease burden. The term syndemic was first used to describe the interaction between substance abuse, violence, and AIDS by Merrill Singer. A broader range of syndemic studies has since emerged describing the framework's applicability to other public health scenarios. With syndemic theory garnering significant attention, the focus is shifting towards developing robust empirical analytical approaches. Unfortunately, the complex nature of the disease-disease interactions nested within several social contexts complicates empirical analyses. In answering the …
A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty
A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty
Information Technology & Decision Sciences Faculty Publications
The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better understand the role of interoperability in improving the societal responses to the pandemic. This paper explores data and system interoperability, a very specific area that could contribute to fighting COVID-19. Specifically, the authors propose a unified health information system framework to connect data, systems, and devices to increase interoperability and manage healthcare information and knowledge. A blockchain-based solution is also provided as a recommendation for improving the data and system interoperability in healthcare.