Cities of Central Asia: New hotspots of air pollution in the world

Tursumbayeva, Madina; Muratuly, Aset; Baimatova, Nassiba; Karaca, Ferhat; Kerimray, Aiymgul

doi:10.1016/j.atmosenv.2023.119901

Cited by 12 publications

(3 citation statements)

References 48 publications

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“…Such development is accompanied by swift population growth and advances in local medical technology, resulting in increased outpatient visits. Moreover, industrial growth contributes to pollution, thereby exacerbating both the incidence and prevalence of diseases in the South Asia region [27]. At the national level, Nepal obtains the highest values in ASIR, ASPR, and age-standardised DALYs.…”

Section: Discussionmentioning

confidence: 99%

Global, regional, and national levels and trends in burden of urticaria: A systematic analysis for the Global Burden of Disease study 2019

Pu,

He,

Wang

et al. 2024

J Glob Health

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Background Urticaria places a significant burden on individuals and society due to its widespread nature. The aim of this study was to evaluate the burden of urticaria in different regions and nations by analysing data from the Global Burden of Disease study 2019 (GBD 2019), with the goal of providing information to health care policymakers.Methods By utilising data from the GBD 2019 database, this study analysed metrics such as incidence, prevalence, disability-adjusted life years (DALYs), age-standardised rate (ASR), and estimated annual percentage changes (EAPC) globally and across 204 countries and regions. The data was further stratified by age, sex, and sociodemographic index (SDI). ResultsIn 2019, global incidence cases, prevalence cases, and overall disease burden as measured by DALYs all increased. The distribution of the burden exhibited marked geographical heterogeneity. At the regional level, the burden is highest in Central and Eastern Europe and Central Asia, with the strongest growth in South Asia, compared with a decline in the high-income Asia Pacific. At the country level, Nepal reports the highest burden of urticaria, while Portugal has the lowest. Gender and age analyses showed that the burden of urticaria is higher in females than in males, with urticaria cases declining with age, especially in children, and picking up among the elderly. The study also finds a correlation between the burden of urticaria and the SDI, with the central part of the SDI showing a consistent increasing trend. ConclusionThis study found that the global burden of urticaria has risen from 1990 to 2019. Factors like geographic location, gender, and SDI influenced the urticaria burden. Overall, these results offer a resource to guide public health strategies seeking to reduce the burden of urticaria.

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Section: Discussionmentioning

confidence: 99%

Global, regional, and national levels and trends in burden of urticaria: A systematic analysis for the Global Burden of Disease study 2019

Pu,

He,

Wang

et al. 2024

J Glob Health

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“…Central Asia includes the following countries: Kazakhstan, Kyrgyzstan, Tajikistan, Turkmenistan, and Uzbekistan. These countries are regularly ranked among the most polluted air in the world [16], have experienced water stress, and suffer from contamination with toxic metals [17,18]. Many studies have documented an increased risk of respiratory and cardiovascular diseases and a higher overall mortality rate in the polluted regions of Central Asia [19,20].…”

Section: Introductionmentioning

confidence: 99%

Fish and Seafood Safety: Human Exposure to Toxic Metals from the Aquatic Environment and Fish in Central Asia

Zhuzzhassarova,

Azarbayjani,

Zamaratskaia

2024

IJMS

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Toxic metals that are released into aquatic environments from natural and anthropogenic sources are absorbed by aquatic organisms and may threaten the health of both aquatic organisms and humans. Despite this, there have been limited studies on the metal concentrations in fish and humans in Central Asia. This study summarizes the presence of the toxic metals arsenic (As), mercury (Hg), cadmium (Cd), and lead (Pb) in aquatic bodies, fish, and seafood products and conducts a risk assessment. While certain areas show a notable increase in fish and seafood consumption, the overall intake in Central Asia remains below recommended levels. However, in regions with high fish consumption, there is a potential for elevated exposure to toxic metals, especially Hg. The risk of exposure to toxic metals in fish and seafood in Central Asia emerges as a significant concern. Comprehensive monitoring, regulation, and remediation efforts are imperative to ensure the safety of water sources and food consumption in the region. Public awareness campaigns and the establishment of dietary guidelines play a crucial role in minimizing the health risks associated with consumption.

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“…Industrial processes in the East Kazakhstan region include a wide range of activities that lead to the emission of various harmful substances into the atmosphere [43]. The state of atmospheric air in the second city, Almaty, has been studied in many works [44][45][46][47][48][49]. It is believed that the main sources of air pollution in the city are vehicles, thermal power plants, industrial enterprises, as well as private houses with their own heating system.…”

Section: Introductionmentioning

confidence: 99%

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

Madiyarov,

Temirbekov,

Alimbekova

et al. 2023

Computation

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This paper proposes a new approach to predicting the distribution of harmful substances in the atmosphere based on the combined use of the parameter estimation technique and machine learning algorithms. The essence of the proposed approach is based on the assumption that the concentration values predicted by machine learning algorithms at observation points can be used to refine the pollutant concentration field when solving a differential equation of the convection-diffusion-reaction type. This approach reduces to minimizing an objective functional on some admissible set by choosing the atmospheric turbulence coefficient. We consider two atmospheric turbulence models and restore its unknown parameters by using the limited-memory Broyden–Fletcher–Goldfarb–Shanno algorithm. Three ensemble machine learning algorithms are analyzed for the prediction of concentration values at observation points, and comparison of the predicted values with the measurement results is presented. The proposed approach has been tested on an example of two cities in the Republic of Kazakhstan. In addition, due to the lack of data on pollution sources and their intensities, an approach for identifying this information is presented.

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Cities of Central Asia: New hotspots of air pollution in the world

Cited by 12 publications

References 48 publications

Global, regional, and national levels and trends in burden of urticaria: A systematic analysis for the Global Burden of Disease study 2019

Global, regional, and national levels and trends in burden of urticaria: A systematic analysis for the Global Burden of Disease study 2019

Fish and Seafood Safety: Human Exposure to Toxic Metals from the Aquatic Environment and Fish in Central Asia

A Combined Approach for Predicting the Distribution of Harmful Substances in the Atmosphere Based on Parameter Estimation and Machine Learning Algorithms

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