This article highlights the impact of the Coronavirus disease (COVID-19). COVID-19 pandemic on the stock market of Uzbekistan on the basis of empirical research and the main factors affecting the stock market are identified as well. Secondary statistical data were collected from the Tashkent Stock Exchange, the Central Bank of the Republic of Uzbekistan, the State Statistics Committee of the Republic of Uzbekistan and other public funds, and the regression equation of the SEMmodel of the impact of the Covid-19 pandemic on the stock market of Uzbekistan was formed. In particular, indicators such as the latest daily and total number of people infected with Covid-19 in the Republic of Uzbekistan, the total number of recovered people after being infected with Covid-19, the total number of people who died of the disease, the daily number of recovered people post-infection, the stock market index of Uzbekistan, Uzbekistan Indicators such as the number of daily securities traded on the Republican Stock Exchange "Tashkent", the exchange rate of the US dollar set by the Central Bank of the Republic of Uzbekistan were selected as the main factors. The constructed regression equation was examined using F-statistics, Student's t-test, and multicorrelation tests to determine the level of adequacy. The authors identify factors based on a systematic analysis of the scientific work of world-renowned scientists on major stock markets and creates a SEM-model of the factors affecting the Uzbek stock market during the pandemic.

The Covid-19 epidemic has had devastating effects on the economy and generated many issues for enterprises worldwide. As a result, it is imperative that during periods of pandemic, options be made available to help impacted companies recover and enhance their operations. One industry that has encountered this issue and has had to overcome substantial obstacles is ecotourism centres. In the first part of this study, we offer several valuable and realistic action strategies for ecotourism centres. Tourism professionals, faculty members, executives, proprietors, and some staff from eco-tourism centres got together for brainstorming meetings to come up with implementation plans. The stated action plans are prioritised based on four factors. One MCDM approach, known as Multi-Attributive Border Approximation area Comparison (MABAC), uses distance and area-based computing algorithms to systematically represent a complicated choice. In this study, we suggest a bipolar neutrosophic MABAC that incorporates the three possible memberships truth, indeterminate, and false into a single set. Using a bipolar neutrosophic language scale, a panel of specialists was asked to rate the outcome values of requirements and options. The major output of the suggested approach is the distances of options from the Border Approximation Area of bipolar neutrosophic MABAC.