Abhishek Dutta. Covid-19 waves: Variant dynamics and control. Scientific Reports, 12(1):1–9, Nature Portfolio, 2022.
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Epidemic Control. This research models the two major variants-driven waves by two sets of susceptible-infected-quarantined-recovered-vaccinated-deceased coupled dynamics that are modulated by the three main interventions: vaccination, quarantine and restrictions. This system is used to demonstrate that the second major novel coronavirus wave in the US is caused by the delta variant and the corresponding rapid surge in infectious cases is driven by the unvaccinated pool of the populace. Next, a feedback control based planned vaccination strategy is derived and is shown to be able to suppress the surge in infections effectively.
Pathogenic Control. This research introduces systematic pathological model learning of COVID-19 dynamics followed by derivative free optimization based multi objective drug rescheduling. The pathological model learnt from clinical data of severe COVID-19 patients treated with remdesivir could additionally predict immune T cells response and resulted in a dramatic reduction in remdesivir dose and schedule leading to lower toxicities, however maintaining a high virological efficacy.
Abhishek Dutta. Optimizing antiviral therapy for covid-19 with learned pathogenic model. Scientific Reports, 12(1):1–9, Nature Portfolio, 2022.
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