## 2 Literature Review
### RUW and Global Impact  
COVID-19 and the RUW have had impacts worldwide. The RUW has increased global energy prices and exacerbated issues with energy security, and the pandemic brought sharp variations in energy demand, shocks to the oil price, interruptions in energy supply chains, and difficulties with energy investments. In [35], the authors implied that global politics is concentrated on the short-term, ostensibly speedier remedies, such as preserving the status quo of the energy sector in the post-pandemic era to stabilize the economy and seek out new fossil fuel supply lines for strengthening energy security after the war rather than focus on climate-friendly, low carbon energy alternatives. A policy solution had been provided in the work to address these issues and develop resilient and sustainable energy systems, which are primarily supported by energy services. The agricultural sector is of the utmost significance for overall food security; thus, it is crucial to comprehend how the epidemic and the conflict have affected many aspects of agriculture, particularly land usage. Given the dearth of recent data from the major statistical databases, in [42] the authors primarily took into account the insights emphasized in the literature on the ramifications of the most recent shocks in terms of agricultural aspects. The research demonstrated that the pandemic had less of an influence on land use modifications than the Russia-Ukraine crisis, which encouraged adjustments in farmers' and policymakers' choices to address restrictions in agrifood chains. However, the effects of the battle on land usage were not thoroughly investigated. The COVID-19 pandemic's impact on crude oil prices had barely begun to diminish when the RUW brought forth a fresh problem. In [36], a novel application was created that incorporated these two worldwide influences to forecast changes in crude oil prices. This study, unlike most others, made use of a dataset with information gathered over a period of 22 years and seven distinct characteristics, such as the opening and closing prices of crude oil and the greatest and lowest prices recorded for any given day. ML methods (such as support vector machines, linear regression, and rain forests), as well as deep-learning algorithms, were used in this study to forecast the price of crude oil (long short-term memory and bidirectional long short-term memory). Finally, the outcomes of deep-learning and ML algorithms were compared. The RUW has several detrimental socioeconomic effects that are currently being felt worldwide and might get worse, especially for global food security, as it is a confrontation between two significant agricultural powers. Food prices were already soaring due to supply chain disruptions brought on by the COVID-19 epidemic, high global demand, and subpar harvests in some nations, but the simultaneous occurrence of the RUW caused a deterioration in the world's food markets. Therefore, the purpose of [37] was to examine the direct and indirect effects of the RUW on world food security. The report emphasizedhow the conflict has immediate and extensive cascading effects on global food security resulting in the ceasing of exports from Ukraine, manpower shortages due to enlistment and population relocation, constraining access to fertilizers, and the ambiguous status of future crops. Understanding the health of Ukrainian residents is crucial in light of the rapid migration of several million migrants and war refugees from Ukraine into other European nations. In [38], the authors identified the major health issues by analyzing the nationwide general hospital morbidity data for Ukrainian residents who resided in Poland from 2014 to June 2022. At this time, diseases associated with pregnancy, childbirth, and puerperimum were the most frequently reported primary causes of hospitalizations for adult women.