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• W4386026932 abstract "Abstract Aim Using data from the Global Burden of Disease (GBD) research from 1990 to 2019, this study intends to examine the prevalence of mental health problems related to COVID-19 in the Central Asia. Anxiety, depression, and post-traumatic stress disorder (PTSD) are the primary study topics. Materials and Methods The prevalence of different mental health diseases was investigated by means of a meta-analysis and comprehensive literature review. For each nation, we calculated the age-standardized prevalence rate and the DALYs lost due to impairment. The research also looked at what factors could be at play, such as demographics, income, and the structure of the healthcare system. Results During and after the COVID-19 pandemic, there was a 32% rise in mental health issues in the Central Asia, with wide variations across nations. Socioeconomic inequalities, demographic changes, and the constraints of the healthcare system have all been identified as major contributors to the rising prevalence of mental health problems. Conclusion To combat the potentially catastrophic effects of the COVID-19 pandemic, the study's key results highlight the critical need of developing comprehensive mental health policies and treatments in the Central Asia. Improving the availability of mental health treatment, addressing the underlying socioeconomic and demographic causes, and adapting interventions to the unique requirements of each nation are all essential in tackling this serious problem. This study aids in clarifying the state of mental health in the Central Asia and guiding policymaking to lessen the impact on mental health of the current COVID-19 epidemic." @default.
• W4386026932 created "2023-08-22" @default.
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• W4386026932 date "2023-08-21" @default.
• W4386026932 modified "2023-10-02" @default.
• W4386026932 title "Global Prevalence of Mental Disorders Due to Covid-19 In the Central Asia: A Systematic Analysis of The Global Burden of Disease Study From 1990 to 2019" @default.
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• W4386026932 doi "https://doi.org/10.21203/rs.3.rs-3257421/v1" @default.
• W4386026932 hasPublicationYear "2023" @default.
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