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                <identifier>oai:data.mendeley.com/8y5tvmd6fh.1</identifier>
                <datestamp>2020-10-01T13:04:34Z</datestamp>
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    <dc:creator>Antipov, Evgeny</dc:creator>
    <dc:title>Time series analysis of COVID-19’s impact on the European’s hospitality industry:  estimates based on accommodation statistics from 18 countries</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>	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.  
</dc:description>
    <dc:subject>Hospitality</dc:subject>
    <dc:subject>Forecasting</dc:subject>
    <dc:subject>Time Series</dc:subject>
    <dc:subject>Hotel Management</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/8y5tvmd6fh.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/8y5tvmd6fh.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2020-10-01T13:04:34Z</dc:date>
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