MATHEMATICAL MODELLING AND STATISTICAL ANALYSIS IN POST - COVID-19 TOURISM RECOVERY

Marija Paunović
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Abstract

The COVID-19 pandemic, along with responses to pandemic control in the form of a national blockade with widespread application of travel restrictions, has made tourism one of the most vulnerable sectors. With increasing mitigation measures in many countries regarding tourism and travel restrictions in some segments, different tourism recovery programs are being launched according to the specifics of each country. The paper will consider various proposed measures through different impact factors set in order to accelerate the recovery of the tourism sector. Selected mathematical models will be presented and discussed.
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新冠肺炎疫情后旅游恢复的数学建模与统计分析
COVID-19大流行以及以国家封锁和广泛实施旅行限制为形式的大流行控制措施,使旅游业成为最脆弱的部门之一。随着许多国家在旅游业和某些领域的旅行限制方面采取更多缓解措施,正在根据每个国家的具体情况启动不同的旅游业恢复方案。本文将通过不同的影响因素来考虑各种建议措施,以加速旅游业的复苏。将介绍和讨论选定的数学模型。
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