Post COVID-19 supporting measures of elderly and ageing population within social public policy: life quality and employment issues
The project is funded by the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan. (Grant no. АР09058488)
This project, aimed at modernizing social and public life in the country, maintain a friendly attitude of society towards older persons. This is especially true in the difficult period of the spread of coronavirus infection from which the mortality rate of the elderly is much higher than in other age groups. The worsening economic situation will inevitably affect the steadily ageing world and the life of the elderly population as one of the most vulnerable groups of the population. Based on expert assessments of world institutions, the recovery period from the pandemic (or post-COVID-19) may drag on for several years. From a scientific point of view, the impact of this relationship has not been sufficiently studied and therefore it is vital to investigate and identify the key trends in the global pandemic in the case of Kazakhstan.
The main objective of the scientific project
The main objective of the scientific project is to analyze the impact of COVID-19 on the ageing population and the livelihoods of older persons of the Republic of Kazakhstan through an assessment of the quality of life and employment opportunities, developing the social modernization and the implementation of age-friendly policies in the post-pandemic time.
Taking You Above and Beyond
The main results of the study will be proposals, practical recommendations, an algorithm of measures for social modernization and the implementation of a policy that is friendly to older persons in the post-pandemic time, identified through an assessment of the quality of life, employment opportunities and socio-demographic characteristics of the population of retirement and pre-retirement age of the Republic of Kazakhstan, in the form of publications.
Expected results
Results for the 1st year
The impact of Covid-19 on the trend of population ageing and the social policy in Kazakhstan was investigated
The comparative analysis between traditional and alternative indicators of demographic burden was carried out.
A content analysis of the development of the pandemic with a sample of the elderly population.
The impact of Covid-19 on the trend of population ageing and the social policy in Kazakhstan was investigated
The classification of the aged labor force in the employment market according to international and national characteristics has been carried out.
The main Covid-19 risk factors for older persons have been studied.
The main features of the socio-demographic policy in Kazakhstan are revealed.
The world experience of elderly employment was studied.
It has been determined that the death rate of the older persons from Covid-19 has a gender imbalance.
New terminology relevant during the pandemic and post-Covid-19 period in regard with elderly has been systematized.
Based on the results obtained, the following were published: 1 scientific article in an international peer-reviewed journal, 1 article in journals recommended by the Committee and a textbook on calculating alternative demographic burden indicators.
https://doi.org/10.51176/1997-9967-2021-3-167-176
https://doi.org/10.24412/3162-2364-2021-81-1-13-20
During 2021, two study visits/internships were carried out within the project.
- United Nations Economic Commission for Europe (UNECE), Population unit, Geneva, Switzerland, in October 2021.
- University of Applied Sciences – Westsachsische Hochschule Zwickau (WHZ), Department of Healthy Ageing and Department of Business Administration, Management Accounting and Internal Audit, Zwickau, Germany, in December 2021.
Scientific team of the project
Izekenova Aigulsum Kulyntaevna
PhD, Associate Professor at the University of International Business, Project Manager, Senior Researcher Center for Business and Social Research UMB named after K. Sagadieva. Has a Hirsch index: 1 (h-index: 1 Scopus, Web of Science) and a decimal citation index: 1 (i10: 1). He is fluent in Russian, Kazakh, English and Turkish. One of the directions of scientific research of Izekenova A.K .. is devoted to the analysis of the aging of the population in different countries in the framework of the study of the effectiveness of pension provision. Links to Asel Isekenova’s profile in the main scientometric databases: Web of Science ResearcherID AAR-3128-2020, https://publons.com/p/28804018/, Scopus Author ID: 56447042600, https://orcid.org/0000-0003 -3765-8036
He has a Doctor of Philosophy (PhD) degree in public health, an associate professor at the Kazakh National Medical University. S. D. Asfendiyarova, Leading Researcher Center for Business and Social Research UMB named after K. Sagadieva. Author of over 40 publications, 3 monographs, Hirsch index – 3 (h-index – 3 Scopus), Hirsch index – 2 (h-index – 2 Web of Science). Links to the profile of Isekenova Aigulsum Kulyntaevna in the main scientometric databases: Web of Science ResearcherID: AAB-4740-2020, Scopus Author ID: 55735840600, orcid.org/0000-0003-3850-8689
Rakhmatullina Alina Tattimbetovna
MSc, 3rd-year doctoral student of the University of International Business, specialty “Economics”, PhD of the Center for Business and Social Research of the UMB named after K. Sagadiev. Graduated from the Master’s program of the National Bank of the Republic of Kazakhstan at Narkhoz University with a degree in Financial Risk Management.
MpH Nazarbayev University, specialty “Public health”, junior researcher Center for Business and Social Research UMB named after K. Sagadieva. She studied at SUNY (State University of New-York, US) under the Fogarty Epidemiology and Biostatistics program.
