activity
20202022
most citedModelling and Optimal Control of Multi Strain Epidemics, with Application to COVID-19

79 citations · 100 across the 5 of their papers we have counts for

collaborators

5 papers

q-bio.PE2022

Epidemic Control Modeling using Parsimonious Models and Markov Decision Processes

Edilson F. Arruda, Tarun Sharma, Rodrigo e A. Alexandre +1

Many countries have experienced at least two waves of the COVID-19 pandemic. The second wave is far more dangerous as distinct strains appear more harmful to human health, but it s…

q-bio.PE2021

Reinfection and low cross-immunity as drivers of epidemic resurgence under high seroprevalence: a model-based approach with application to Amazonas, Brazil

Edilson F. Arruda, Dayse H. Pastore, Claudia M. Dias +1

This paper introduces a new multi-strain epidemic model with reinfection and cross-immunity to provide insights into the resurgence of the COVID-19 epidemic in an area with reporte…

q-bio.QM2021★ 3 cited

A Novel Stochastic Epidemic Model with Application to COVID-19

Edilson F. Arruda, Rodrigo e Alvim Alexandre, Marcelo D. Fragoso +2

In this paper we propose a novel SEIR stochastic epidemic model. A distinguishing feature of this new model is that it allows us to consider a set up under general latency and infe…

eess.SY2021★ 79 cited

Modelling and Optimal Control of Multi Strain Epidemics, with Application to COVID-19

Edilson F. Arruda, Dayse H. Pastore, Clauda M. Dias +1

This work introduces a novel epidemiological model that simultaneously considers multiple viral strains, reinfections due to waning immunity response over time and an optimal contr…

q-bio.PE2020★ 18 cited

Flattening the curves: on-off lock-down strategies for COVID-19 with an application to Brazi

L. Tarrataca, C. M. Dias, D. B. Haddad +1

The current COVID-19 pandemic is affecting different countries in different ways. The assortment of reporting techniques alongside other issues, such as underreporting and budgetar…