Published in Mathematical Biosciences
• Reported SARS-CoV-2 quantitative data is missing critical details to provide context. • It is important to establish standard-based guidelines to report epidemiological data. • Standards will make it easier to interpret SARS-CoV-2 epidemiological data. • Standard-based guidelines improve communication, rigor and reproducibility.
Published in Mathematical biosciences
Motivated by historical and present clinical observations, we discuss the possible unfavorable evolution of the immunity (similar to documented antibody-dependent enhancement scenarios) after a first infection with COVID-19. More precisely we ask the question of how the epidemic outcomes are affected if the initial infection does not provide immuni...
Published in Mathematical Biosciences
• Presentation of SEIR-type model for COVID-19, model fitted to data for Ireland. • Aim is to find best strategy for non-pharmaceutical interventions (NPIs). • Optimal-control theory is performed on the model; cost function: cost of the NPIs. • State constraint: Hospital admissions remain below a threshold. • Suppression is cheaper than mitigation,...
Published in Mathematical Biosciences
• Uses a weighted networked model for COVID-19 with four-tier response to Public Health Crisis. • Analyzes and evaluates the effectiveness of lockdown and social distancing in different levels. • Staggered-release policies should be properly designed for different stages of epidemic.
Published in Mathematical biosciences
Coronavirus disease 2019 (COVID-19), an infectious disease caused by the infection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is spreading and causing the global coronavirus pandemic. The viral dynamics of SARS-CoV-2 infection have not been quantitatively investigated. In this paper, we use mathematical models to study the pat...
Published in Mathematical Biosciences
• Semiparametric framework combines epidemiological background with Bayesian inference. • Reproduction number, number of hospitalized/ICU patients according to interventions are estimated. • Given reliability and availability of the data, the model can be easily adapted. • Flexibility and reliability is showcased using Slovene COVID-19 data. • Soft...
Published in Mathematical Biosciences
The community lockdown measures implemented in the United States from late March to late May of 2020 resulted in a significant reduction in the community transmission of the COVID-19 pandemic throughout the country. However, a number of US states are currently experiencing an alarming post-lockdown resurgence of the pandemic, triggering fears for a...
Published in Mathematical Biosciences
• SEIR model including asymptomatic infections with differentiated shipboard roles for crew and passengers. • Derivation of the basic and effective reproduction numbers and simulation studies showing the effect of quarantine with COVID-19 or influenza on the total infection numbers. • Examine quarantine in a closed system in order to find the condi...
Published in Mathematical Biosciences
• Social-distancing compliance parameter if increased leads to decreased number of cases. • Early implementation of lockdown measure results in decrease in the number of cases. • Incorporation of the role of environmental contamination by infected individuals. • Computation of the attack rate of COVID-19, and the population final sizes.
Residential colleges and universities face unique challenges in providing in-person instruction during the COVID-19 pandemic. Administrators are currently faced with decisions about whether to open during the pandemic and what modifications of their normal operations might be necessary to protect students, faculty and staff. There is little informa...
