Open AccessMATHEMATICAL 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) , business , computer science , domestic tourism , control (management) , regional science , operations research , geography , tourism 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.