Since December 2019, the novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has spread rapidly from Wuhan (China) across the globe, affecting more than 200 countries by mid-2021, with over 190M reported cases and around 4M fatalities. During the first year of the pandemic, affected countries implemented a variety of nonpharmaceutical interventions to control virus transmission. In December 2020, countries started administering several authorised vaccines under a limited supply scenario. In this context, the aim of this study was to develop a SEIR-type continuous-time deterministic disease model, to determine the impact of interaction between different vaccination scenarios and levels of protection measures on disease inciden...
A previously developed mechanistic model of COVID-19 transmission has been adapted and applied here ...
[[abstract]]Background: There are few studies demonstrating how the effectiveness of various extents...
We developed an agent-based stochastic model, based on P Systems methodology, to decipher the effect...
A new bioinspired computational model was developed for the SARS-CoV-2 pandemic using the available ...
DOCTORATES 4 COVID-19", number 2020.10172.BD. PP UIDB/00297/2020 UIDB/04621/2020 UIDP/04621/2020In t...
[EN] The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early...
Non-pharmaceutical interventions (NPIs) and vaccination are two fundamental approaches for mitigatin...
In this paper, we estimate the path of daily SARS-CoV-2 infections in England from the beginning of ...
BACKGROUND: As vaccination coverage against SARS-CoV-2 increases amidst the emergence and spread of ...
We introduce a compartmental epidemic model to describe the spread of COVID-19 within a population, ...
This study analyses the relation between people fully vaccinated and mortality to assess the effecti...
A new bioinspired computational model was developed for the SARS-CoV-2 pandemic using the available ...
Introduction: Different COVID-19 vaccine efficacies are reported, with remarkable effectiveness agai...
Background: The increasing vaccination coverage against SARS-CoV-2 enabled relaxation of lockdowns i...
A novel statistical model based on a two-layer, contact and information, graph is suggested in order...
A previously developed mechanistic model of COVID-19 transmission has been adapted and applied here ...
[[abstract]]Background: There are few studies demonstrating how the effectiveness of various extents...
We developed an agent-based stochastic model, based on P Systems methodology, to decipher the effect...
A new bioinspired computational model was developed for the SARS-CoV-2 pandemic using the available ...
DOCTORATES 4 COVID-19", number 2020.10172.BD. PP UIDB/00297/2020 UIDB/04621/2020 UIDP/04621/2020In t...
[EN] The administration of vaccines against the coronavirus disease 2019 (COVID-19) started in early...
Non-pharmaceutical interventions (NPIs) and vaccination are two fundamental approaches for mitigatin...
In this paper, we estimate the path of daily SARS-CoV-2 infections in England from the beginning of ...
BACKGROUND: As vaccination coverage against SARS-CoV-2 increases amidst the emergence and spread of ...
We introduce a compartmental epidemic model to describe the spread of COVID-19 within a population, ...
This study analyses the relation between people fully vaccinated and mortality to assess the effecti...
A new bioinspired computational model was developed for the SARS-CoV-2 pandemic using the available ...
Introduction: Different COVID-19 vaccine efficacies are reported, with remarkable effectiveness agai...
Background: The increasing vaccination coverage against SARS-CoV-2 enabled relaxation of lockdowns i...
A novel statistical model based on a two-layer, contact and information, graph is suggested in order...
A previously developed mechanistic model of COVID-19 transmission has been adapted and applied here ...
[[abstract]]Background: There are few studies demonstrating how the effectiveness of various extents...
We developed an agent-based stochastic model, based on P Systems methodology, to decipher the effect...