ASSESSMENT OF POPULATION HEALTH IN THE LOWER REACH OF THE SYRDARYA RIVER IN SPATIAL AND TEMPORAL DIMENSIONS

Current studies of public health in Kyzylorda region, located in the lower reaches of the Syrdarya River within a zone of technogenic pollution, are based on medical–statistical approaches using linear trend methods. These methods provide a scientific basis for understanding the spatial and temporal dynamics of population health. Using data from the statistical collection “Health of the Population of the Republic of Kazakhstan and the Activities of Health Care Organizations” (Department of Medical and Statistical Analysis, National Scientific Center for Health Development named after Sagadat Kairbekova), covering the years 2000–2022, an electronic database was compiled for the population health of Kyzylorda region by administrative districts. A statistically grounded assessment of morbidity parameters across districts, conducted with linear trend analysis in Microsoft Excel, revealed both positive and negative trends over the study period. The resulting functional equations of morbidity dynamics in the form of linear trends provide a scientific foundation for forecasting the socio-ecological potential of the region.

Authors

Publication Details

Journal
Geography and water resources
Published
2025-09-26
DOI
https://doi.org/10.55764/2957-9856/2025-3-158-167.41
Primary Topic
Legal, Health, Environmental and COVID-19 Challenges
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

ASSESSMENT OF POPULATION HEALTH IN THE LOWER REACH OF THE SYRDARYA RIVER IN SPATIAL AND TEMPORAL DIMENSIONS

Ж.С. Мустафаев, Shermakhan Shapalov, Kuanysh Abdeshev, M. B. Mustafayeva
Geography and water resources
Legal, Health, Environmental and COVID-19 Challenges
article

ASSESSMENT OF POPULATION HEALTH IN THE LOWER REACH OF THE SYRDARYA RIVER IN SPATIAL AND TEMPORAL DIMENSIONS

Ж.С. Мустафаев, Shermakhan Shapalov, Kuanysh Abdeshev, M. B. Mustafayeva
article en

Abstract

Current studies of public health in Kyzylorda region, located in the lower reaches of the Syrdarya River within a zone of technogenic pollution, are based on medical–statistical approaches using linear trend methods. These methods provide a scientific basis for understanding the spatial and temporal dynamics of population health. Using data from the statistical collection “Health of the Population of the Republic of Kazakhstan and the Activities of Health Care Organizations” (Department of Medical and Statistical Analysis, National Scientific Center for Health Development named after Sagadat Kairbekova), covering the years 2000–2022, an electronic database was compiled for the population health of Kyzylorda region by administrative districts. A statistically grounded assessment of morbidity parameters across districts, conducted with linear trend analysis in Microsoft Excel, revealed both positive and negative trends over the study period. The resulting functional equations of morbidity dynamics in the form of linear trends provide a scientific foundation for forecasting the socio-ecological potential of the region.

Geography and water resources(3)
Openalex Percentile: Top 65%
Legal, Health, Environmental and COVID-19 Challenges
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.