Publications by authors named "Ardak Nurbakyt"
Article Synopsis
- The study examines the distribution of pharmaceutical expenses in Kazakhstan, focusing on outpatient treatments and the users of expensive medications.
- Data from 2.2 million individuals were analyzed, considering factors such as age, gender, and disease type, to identify high-cost users (HCUs), who represent the highest 5% of drug expenses.
- The findings reveal that this small group accounts for nearly 75% of total costs, generally consists of younger individuals, and faces significant healthcare challenges, including rare diseases in children and major conditions like cancer and diabetes in adults.
Article Synopsis
- In January 2022, Kazakhstan faced nationwide protests that escalated into violent riots, prompting a study to assess the emotional impact on the affected population.
- An online survey conducted one month post-disturbances revealed that 14.8% of participants exhibited acute stress symptoms, with higher rates in the areas most affected by violence.
- The study highlights the need for mental health interventions in regions impacted by unrest, stressing the importance of addressing these issues for long-term well-being and seeking peaceful resolutions to conflicts.
Background: There is a paucity of robust data on the incidence and causes of cerebral palsy (CP) in Central Asian countries, while this information is important for planning local healthcare services. This epidemiological study was designed to clear the gap in knowledge on both the incidence of CP and the underlying risk factors in the Republic of Kazakhstan.
Methods: This was a retrospective study that comprised two stages.
The data on seroprevalence of anti-SARS-CoV-2 antibodies in Kazakhstani population are non-existent, but are needed for planning of public health interventions targeted to COVID-19 containment. The aim of the study was to estimate the seropositivity of SARS-CoV-2 infection in the Kazakhstani population from 2020 to 2021. We relied on the data obtained from the results from "IN VITRO" laboratories of enzyme-linked immunosorbent assays for class G immunoglobulins (IgG) and class M (IgM) to SARS-CoV-2.
View Article and Find Full Text PDFObjectives: The lack of advance planning in a public health emergency can lead to wasted resources and inadvertent loss of lives. This study is aimed at forecasting the needs for healthcare resources following the expansion of the coronavirus disease 2019 (COVID-19) outbreak in the Republic of Kazakhstan, focusing on hospital beds, equipment, and the professional workforce in light of the developing epidemiological situation and the data on resources currently available.
Methods: We constructed a forecast model of the epidemiological scenario via the classic susceptible-exposed-infected-removed (SEIR) approach.
Background And Objective: The number of new entrants to higher medical schools of Kazakhstan increased by 1.6 times from 2007 to 2012. However, it is not known how it will affect the shortage of human resources for health.
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