Time series analysis of COVID-19’s impact on the European’s hospitality industry: estimates based on accommodation statistics from 18 countries

 Prophet was shown to be a competitive algorithm for bulk forecasting of tourism statistics
 Baseline forecasts of nights spent at accommodation establishments were obtained
 Losses for each country and hospitality segment were estimated and meta-analyzed
 The most impacted group of countries is Italy, Belgium, Slovenia, Spain, and Croatia,
 The least impacted group of countries is Sweden, Latvia, and Finland.

Prophet算法已被证实是大规模预测旅游统计数据的一种具有竞争力的算法。基于住宿机构的夜宿基准预测得以获得。针对各个国家和酒店细分市场，损失进行了估算和元分析。受影响最严重的国家群体包括意大利、比利时、斯洛文尼亚、西班牙和克罗地亚，而受影响最小的国家群体则包括瑞典、拉脱维亚和芬兰。