We describe the real-time modelling analysis conducted in Italy during the early phases of the 2009 A/H1N1v influenza pandemic in order to estimate the impact of the pandemic and of the related mitigation measures implemented. Results are presented along with a comparison with epidemiological surveillance data which subsequently became available. Simulated epidemics were fitted to the estimated number of influenza-like syndromes collected within the Italian sentinel surveillance systems and showed good agreement with the timing of the observed epidemic. On the basis of the model predictions, we estimated the underreporting factor of the influenza surveillance system to be in the range 3·3–3·7 depending on the scenario considered. Model pred...
To improve decision-making strategies and prediction based on epidemiological data, so far biased by...
In this paper, we present a model to predict the spread of the Covid-19 epidemic and apply it to the...
AbstractSyndromic and virological data are routinely collected by many countries and are often the o...
SUMMARYWe describe the real-time modelling analysis conducted in Italy during the early phases of th...
During the early phases of the 2009 influenza pandemic in Italy, real-time modeling analysis were co...
To predict the spread of a pandemic strain of influenza virus in Italy and the impact of control mea...
Background: Individual-based models can-provide the most reliable estimates of the spread of infecti...
To investigate the spread of a pandemic strain of influenza virus through Italy and the impact of co...
Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic. In th...
Objectives: Influenza surveillance systems have been established in many countries in the world, yie...
BACKGROUND: Modeling plays a critical role in mitigating impacts of seasonal influenza epidemics. Co...
Modeling plays a critical role in mitigating impacts of seasonal influenza epidemics. Complex simula...
To improve decision-making strategies and prediction based on epidemiological data, so far biased by...
In this paper, we present a model to predict the spread of the Covid-19 epidemic and apply it to the...
AbstractSyndromic and virological data are routinely collected by many countries and are often the o...
SUMMARYWe describe the real-time modelling analysis conducted in Italy during the early phases of th...
During the early phases of the 2009 influenza pandemic in Italy, real-time modeling analysis were co...
To predict the spread of a pandemic strain of influenza virus in Italy and the impact of control mea...
Background: Individual-based models can-provide the most reliable estimates of the spread of infecti...
To investigate the spread of a pandemic strain of influenza virus through Italy and the impact of co...
Several epidemiological models have been proposed to study the evolution of COVID-19 pandemic. In th...
Objectives: Influenza surveillance systems have been established in many countries in the world, yie...
BACKGROUND: Modeling plays a critical role in mitigating impacts of seasonal influenza epidemics. Co...
Modeling plays a critical role in mitigating impacts of seasonal influenza epidemics. Complex simula...
To improve decision-making strategies and prediction based on epidemiological data, so far biased by...
In this paper, we present a model to predict the spread of the Covid-19 epidemic and apply it to the...
AbstractSyndromic and virological data are routinely collected by many countries and are often the o...