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

Marija Paunović | Zendy

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

Author(s) -

Marija Paunović

Publication year - 2021

Language(s) - English

Resource type - Conference proceedings

DOI - 10.52370/tisc21334mp

Subject(s) - tourism , covid-19 , pandemic , order (exchange) , set (abstract data type) , computer science , business , control (management) , regional science , operations research , risk analysis (engineering) , geography , engineering , artificial intelligence , finance , medicine , disease , archaeology , pathology , virology , outbreak , infectious disease (medical specialty) , biology , programming language

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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