A big data analysis of COVID-19 impacts on Airbnbs' bookings behavior applying construal level and signaling theories.

This study investigates the impact of the COVID-19 pandemic on consumer booking behavior in the peer-to-peer accommodation sector. This study used a dataset composed of 2041,966 raws containing 69,727 properties located in all 21 Italian regions in the pre- and post-COVID-19. Results show that in the pre-COVID-19 period, consumers preferred P2P accommodations with price premiums and located in rural (versus urban) areas.

The pricing of European airbnb listings during the pandemic: A difference-in-differences approach employing COVID-19 response strategies as a continuous treatment.

The COVID-19 pandemic has been a major shock to the global tourism industry. Given its peculiarity, this paper analyzes one of the most intriguing questions in the Airbnb literature - the pricing of Airbnb listings - by taking advantage of a difference-in-differences methodology that largely draws on variations in country-level policy responses to the pandemic. Relying on a dataset containing weekly information from 130,999 continuously active listings across 27 European countries from 2019 to 2020, this study first investigates the exogenous impact of response policies (proxied by the COVID-19 Stringency Index) on demand.

Relaparoscopy in the management of post-operative complications after minimally invasive gastrectomy for gastric cancer.

Laparoscopy has already been validated for treatment of early gastric cancer. Despite that, no data have been published about the possibility of a minimally invasive approach to surgical complications after primary laparoscopic surgery. In this multicentre study, we describe our experience in the management of complications following laparoscopic gastrectomy for gastric cancer.

Follow-Up CT Patterns of Residual Lung Abnormalities in Severe COVID-19 Pneumonia Survivors: A Multicenter Retrospective Study.

Prior studies variably reported residual chest CT abnormalities after COVID-19. This study evaluates the CT patterns of residual abnormalities in severe COVID-19 pneumonia survivors. All consecutive COVID-19 survivors who received a CT scan 5-7 months after severe pneumonia in two Italian hospitals (Reggio Emilia and Parma) were enrolled.