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Air transport has been identified as one of the primary means whereby COVID-19 spread throughout Europe during the early stages of the pandemic. In this paper we analyse two categories of methods – dynamic network markers (DNMs) and network analysis-based methods – as potential early warning signals for detecting and anticipating COVID-19 outbreaks in Europe on the basis of accuracy regarding the daily confirmed cases. The analysis was carried out from 15 February 2020, around two weeks before the first COVID-19 cases appeared in Europe, and 1 May 2020, approximately two weeks after all the air traffic in Europe had been shut down. Daily European COVID-19 information sourced from the World Health Organization was used, whereas air traffic data from Flightradar24 has been incorporated into the analyses by means of four alternative adjacency matrices. Some DNMs have been discarded since they output multiple time series, which makes it very difficult to interpret their results. The only DNM outputting a single time series does not emulate the COVID-19 trend: it does not detect all the main peaks, which means that peak heights do not match up with the increase in the number of infected people. However, many combinations of network analysis based methods and adjacency matrices output good results (with high accuracy and 20-day advance forecasts), with only minor differences from one to another. The number of edges and the network density methods are slightly better when dynamic flight frequency information is used. [ABSTRACT FROM AUTHOR]

Purpose: Coronavirus disease-19 (COVID-19) pandemic is challenging the availability of hospital resources worldwide. The Young Group of the Italian Association of Nuclear Medicine (AIMN) developed the first international survey to evaluate the impact of COVID-19 in nuclear medicine (NM). The aim of this study was to perform a preliminary report of the ongoing survey. Methods: A questionnaire of thirty questions was prepared for all NM professionals addressing three main issues: (1) new scheduling praxes for NM diagnostic and therapeutic procedures, (2) assistance of patients with diagnosed or suspected COVID-19, and (3) prevention of COVID-19 spreading in the departments. An invitation to the survey was sent to the corresponding authors of NM scientific papers indexed in SCOPUS in 2019. Personal data were analysed per individual responder. Organisation data were evaluated per single department. Results: Two-hundred and ninety-six individual responders from 220 departments were evaluated. Most of the responders were from Europe (199/296, 67%). Approximately, all departments already changed their scheduling praxes due to the pandemic (213/220, 97%). In most departments, scheduled diagnostic and therapeutic procedures were allowed but quantitatively reduced (112/220, 51%). A significant reduction of diagnostic and therapeutic procedures (more than 20%) affected 198/220 (90%) and 158/220 (72%) departments, respectively. Incidental COVID-19 signs in NM exams occurred in 106/220 departments (48%). Few departments were closed or shifted to assist patients with COVID-19 (36/220, 16%). Most of the responders thought that pandemic would not permanently change the work of NM departments in the future (189/296, 64%). Conclusions: According to this preliminary report of the first international survey, COVID-19 heavily impacted NM departments and professionals. New praxes for NM procedures, assistance, and prevention of COVID-19 have been applied during the pandemic. [ABSTRACT FROM AUTHOR]