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  • ItemOpen Access
    Impact of terrible pandemic COVID-19 on Kazakhstani education and it’s outcome
    (2020 International Young Scholars Workshop, 2020) Bektursynova A.; Sarsengaliyeva B.
    Abstract. The general situation with coronavirus in the world and in Kazakhstan and its effects on our lives, especially on education. The article discusses the shortcomings of the COVID-19 epidemic in the education of the Republic of Kazakhstan. The authors assess the impact of the pandemic and its impact on teaching and teaching and try to hold a discussion and take a critical look at the Kazakh and global context. Important aspects such as teachers, lessons, parents, assessment, influenced by COVID-19, give us clear information about how life goes on in a difficult phase of life and what advantages can be achieved and derived from it. Every aspect affected responded differently, some performed excellently, and some had unlikely results. In addition, how and what has changed the global pandemic in the Kazakh education system. Changes can be both positive and negative. How has education changed and which instruments have teachers used so far?
  • ItemOpen Access
    Nonlinear modeling of COVID-19 and the significance of testing: the case of Kazakhstan
    (Faculty of Engineering and Natural Science, 2022) Kali A.
    It has been more than two years since the world faced a global pandemic of COVID-19, which affected the global economy negatively and took many human lives. This paper considers the extended susceptible-exposed-infectious-recovered (SEIR) model and finds out whether it is effective for the government of Kazakhstan to conduct massive free PCR testing of the exposed population. To this end, we constructed a new mathematical model and the government cost function that incorporates the hospital cost for the COVID-19 treatment and the cost of PCR testing. To address the above-mentioned objectives, we constructed nonlinear differential equations for our epidemic model and numerically solved them. Furthermore, the government’s cost was modeled as a function that depends on the rate of PCR tests. The findings of the numerical analysis show that the government’s cost is minimized if the exposed individuals were tested for the disease as often as possible. Moreover, testing both susceptible and exposed individuals is not beneficial in terms of the economic cost.
  • ItemOpen Access
    COVID-19 IMPACTS ON ENPLOYMENT RATE IN HOSPITALITY INDUSTRY
    (СДУ хабаршысы - 2021, 2021) Sarybayeva K.
    Abstract. The intention of the article is to present a general review of the extent to which pandemic and confinement endeavours to halt the virus spread have affected the world of work, international economic domains, as well as businesses involving hospitality and tourism sectors. The focus is particularly placed on several countries, namely, Spain, Germany, the USA, and Kazakhstan. In practical application, the article can be beneficial for practitioners as it presents global experiences and feasible strategies to cope with future unforeseen circumstances such as pandemic threat.
  • ItemOpen Access
    Mathematical Modelling the Impact Evaluation of Lockdown on Infection Dynamics of COVID-19 in Italy
    (medRxiv, 2020) Kadyrov Sh.; Orynbassar A.; Saydaliyev H.B.; Yergesh D.
    The Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV-2), the cause of the coronavirus disease-2019 (COVID-19), within months of emergence from Wuhan, China, has rapidly spread, exacting a devastating human toll across around the world reaching the pandemic stage at the the beginning of March 2020. Thus, COVID-19’s daily increasing cases and deaths have led to worldwide lockdown, quarantine and some restrictions. Covid-19 epidemic in Italy started as a small wave of 2 infected cases on January 31. It was followed by a bigger wave mainly from local transmissions reported in 6387 cases on March 8. It caused the government to impose a lockdown on 8 March to the whole country as a way to suppress the pandemic. This study aims to evaluate the impact of the lockdown and awareness dynamics on infection in Italy over the period of January 31 to July 17 and how the impact varies across different lockdown scenarios in both periods before and after implementation of the lockdown policy. The findings SEIR reveal that implementation lockdown has minimised the social distancing flattening the curve. The infections associated with COVID-19 decreases with quarantine initially then easing lockdown will not cause further increasing transmission until a certain period which is explained by public high awareness. Completely removing lockdown may lead to sharp transmission second wave. Policy implementation and limitation of the study were evaluated at the end of the paper.