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Background: Since the outbreak of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic, administration of the currently available vaccines has mostly been recommended for subjects at high risk, including elderly populations on long-term oral anticoagulation therapy (OAT) with warfarin. However, there is no clear evidence of the stability of the International Normalised Ratio (INR) after vaccine administration in those subjects on long-term OAT. The present study aimed to investigate the effects of COVID-19 vaccination on anticoagulation levels in patients on long-term OAT., Materials and Methods: INR values of patients on long-term OAT who had undergone anti-SARS-CoV-2 vaccination from January to June 2021 were monitored for a total of 90 days follow-up after the first vaccination dose. These were then compared with INR values before vaccination. The second dose, when required, was administered during follow-up. Inclusion criterion was stable long-term INR for at least 6 months before vaccination. Exclusion criteria were recent surgery, intercurrent diseases, or treatment with medication that could compromise findings in the 3 months before vaccination and during follow-up., Results: No differences were observed in the anticoagulation levels before and after COVID-19 vaccination in any of the patients studied: mean INR values were 2.39 (range 2.20-2.63) before vaccination and 2.40 (range 2.16-2.76) after vaccination (p=0.5). There was no difference in anticoagulation levels in relation to age, sex, indication for OAT, or type of vaccine (p>0.5). No bleeding or thrombotic complications were documented during follow-up., Discussion: These are the first data to be reported on anticoagulation levels in patients on stable OAT after COVID-19 vaccination. No influence on the quality of OAT was detected after the vaccination; no bleeding or thrombotic complications were recorded in the follow-up. No difference between the four available COVID vaccines was found. Dose adjustment was only required in a few cases, thus confirming the stability of anticoagulation levels.

This study presents the results of a traffic simulation analysis and emissions (greenhouse gas and noise) assessment comparing pre-pandemic (2019) and post-pandemic (2022) periods. The estimation of road traffic demand is based on conventional data sources and floating car data; next, the traffic simulation procedure was performed providing road network traffic volumes, which are the input for the emission models. The diffusion of teleworking, e-commerce, as well as the digitization of many processes, services and activities, lead to a significant change in urban mobility. Results show a significant though still not complete resumption of commuters travel activity (−10% compared to pre-pandemic period) in the morning peak-hour. This translates into an 11% reduction of greenhouse gas emissions and a 0.1% increase in noise emissions.

This paper presents the results of a study on the Rome mobility system aiming at estimating the impacts of the progressive lockdown, imposed by the government, due to the Covid-19 pandemic as well as to support decision makers in planning the transport system for the restart towards a post-Covid “new normal”. The analysis of data obtained by the transport monitoring system has been fundamental for both investigating effects of the lockdown and feeding transport models to predict the impacts on future actions. At first, the paper focuses on the so-called transport analytics, by describing mobility trends for the multimodal transportation system of Rome. Then, the results of the simulated scenarios to design public transport services, able to ensure passengers social distancing required in the first post-Covid months, are presented and discussed.

This study presents the result of a traffic simulation analysis based on Floating Car Data and a noise emission assessment to show the impact of mobility restriction for COVID-19 containment on urban vehicular traffic and road noise pollution on the road network of Rome, Italy. The adoption of strong and severe measures to contain the spreading of Coronavirus during March-April 2020 generated a significant reduction in private vehicle trips in the city of Rome (-64.6% during the lockdown). Traffic volumes, obtained through a simulation approach, were used as input parameters for a noise emission assessment conducted using the CNOSSOS-EU method, and an overall noise emissions reduction on the entire road network was found, even if its extent varied between road types.