Percolation across households in mechanistic models of non-pharmaceutical interventions in SARS-CoV-2 disease dynamics

Modelling the impact of school reopening and contact tracing strategies on Covid-19 dynamics in different epidemiologic settings in Brazil

“…The latter considered the incidence of COVID-19 hospitalizations and deaths, and infection transmission rates were proportional to contact rates between different age groups in different settings. Furthermore, our model incorporates the potential effect of the collapse of the network of contacts in a residential setting [ 10 ], which allows a better fitting of the parameters used in our model.…”

“…Dynamic transmission modelling has provided evidence to support decision-making related to the timing and impact of various NPI measures, among others [ 9 , 10 ]. It has been recommended that school reopening is followed by large-scale, population-wide testing of symptomatic individuals and effective contact tracing of related contacts, followed by isolation of diagnosed individuals and quarantine of contacts.…”

Epidemic SI COVID-19 modeling in LMICs: Accompanying commentary

“…In this special issue we include one of the early applications using Ct values as extra information to understand epidemics dynamics ( Andriamandimby et al, 2022 ), and a novel Bayesian approach to combining disease forecasts ( Daza-Torres et al, 2022 ). There were two approaches to understanding spatial patterns using new approaches and/or new combinations of data ( Ramiadantsoa et al, 2022 , Saba et al, 2022 ) as well as a novel approach to modelling household transmission and itnerventions ( Franco et al, 2022 ). All of these are valuable additions to the field, proposing methods that can be applied to other countries.…”