Mathematical models to guide pandemic response

A Guide to Mathematical Quasicrystals

Pandemic controllability: a concept to guide a proportionate and flexible operational response to future influenza pandemics.

The 2009 H1N1 influenza pandemic posed challenges for governments worldwide. Strategies designed to limit community transmission, such as antiviral deployment, were largely ineffective due to both feasibility constraints and the generally mild nature of disease, resulting in incomplete case ascertainment. Reviews of national pandemic plans have identified pandemic impact, primarily linked to me...

kant’s response to mathematical antinomies

in his post-critical writing, particularly prolegomena and both versions of preface in critique of pure reason, kant explains the importance and core function of mathematical antinomy in his philosophical project. this essay reviews and analyses the history and function of antinomies of pure reason, particularly mathematical antinomies and poses an account on kant’s proof for first and second a...

Guide to Safe Medical Practice in Outpatient Settings During COVID-19 Pandemic

  Background and aims: Presently, human kind is challenging with a highly contagious disease, COVID-19, caused by a newly emerged virus, SARS-COV2. Health care providers are at the front line of fighting, as well as, at the risk of getting infected.  Many attempts have been made to combat the disease are mostly focused on hospital settings rather than outpatient settings so far. Therefore, add...

Outcome Prediction in Mathematical Models of Immune Response to Infection

Clinicians need to predict patient outcomes with high accuracy as early as possible after disease inception. In this manuscript, we show that patient-to-patient variability sets a fundamental limit on outcome prediction accuracy for a general class of mathematical models for the immune response to infection. However, accuracy can be increased at the expense of delayed prognosis. We investigate ...