The generation of rapid information has been an important novelty in the COVID-19 pandemic and a challenge for epidemiology. The methodological frailty and uncertainty of rapid data use has been a consequence. We are talking about an 'intermezzo' epidemiology between the event and the production of consolidated data that opens up great opportunities to the use epidemiology for rapid public health decisions, provided a careful work to be done before emergencies. In Italy, an ad hoc national COVID-19 information system producing daily data that quickly became essential for public decision-making. Total and all-cause mortality data are derived from the traditional information system of the Italian National Institute of Statistics (Istat), which, at the onset of the pandemic, was unable to provide rapid total and all-causes mortality data at the national level and still produces them with a one- to two-month delay. National cause and place mortality data referred to the first epidemic wave (March and April 2020) was in May 2021 and recently updated (October 2022) for the whole year 2020. Nearly three years after the onset of the epidemic, we have no nationwide rapid information on the distribution of deaths by place of death (hospitals, nursing homes and other care facilities, home) neither on their breakdown in 'by COVID-19', 'with COVID-19', and 'non-COVID-19' deaths. The pandemic being still in progress, new problems arise (the long-term impact of COVID-19, the impact of lockdown policies, etcetera), whose solution cannot be postponed until peer reviewed papers are available. A fine-tuning of the rapid processing of interim data certainly requires the development of national and regional information systems, but first of all a methodologically robust 'intermezzo' epidemiology.
Keywords: COVID-19; Pandemic; Surveillance; Total mortality.