Health at Risk: Respiratory, Cardiovascular, and Neurological Impacts of Air Pollution

Authors

https://doi.org/10.48313/iee.v1i1.41

Abstract

Air pollution has become one of the most pressing issues in the twenty-first century, with massive effects on the environment and human health. Air pollution is a complex cause of morbidity and mortality that contributes to respiratory and cardiovascular diseases, cancer, neurological impairments, and adverse perinatal outcomes. Air quality can be compromised by Particulate Matter (PM), ground-level ozone, nitrogen oxides, sulfur dioxide, carbon monoxide, Volatile Organic Compounds (VOCs), heavy metals, and persistent organic pollutants, which contribute to climate change and ecosystem instability. The effects extend beyond individual health to affect agricultural productivity, biodiversity, and the distribution of infectious diseases. Solving this crisis correlates with several United Nations Sustainable Development Goals (SDGs), including SDG 3 (Good health and well-being), SDG 11 (Sustainable Cities and Communities), SDG 13 (Climate Action), and SDG 15 (Life on land). Despite international policies like the Paris Climate Accord, a gap persists between high- and low-income nations in exposure, vulnerability, and adaptive capacity. Technological innovations, regulations, and community interventions have shown potential for cutting emissions, but must be included in larger sustainable development plans. This review summarizes evidence on the environmental and health consequences of air pollution, highlighting the need for interdisciplinary methods that combine population health, environmental science, and policy. The world needs a response to enhance environmental governance, ensuring equal access to clean energy and public consciousness to reduce air pollution as a health hazard and environmental determinant. Air pollution affects ecosystems and people and remains key to meeting the SDGs and achieving a sustainable future.

Keywords:

Air pollution, Sustainable development goals, Climate change, Environmental policy, Global health equity

References

  1. [1] Ridwan, M., Al Jubayed, A., Kayser, K. A., Ahmed, M. E., Chowdhury, R. R., Hassan, M. R., … & Kanij, H. N. (2025). Examine the role of political stability and education toward green economy: An empirical evidence for bangladesh. Environment, innovation and management, 1, 2550011. https://doi.org/10.1142/S3060901125500115

  2. [2] Uddin, M. K., Akter, S., Das, P., Anjum, N., Akter, S., Alam, M., … & Pervin, T. (2024). Machine learning-based early detection of kidney disease: a comparative study of prediction models and performance evaluation. International journal of medical science and public health researc, 5(12), 58-75. https://doi.org/10.37547/ijmsphr/Volume05Issue12-05

  3. [3] Hasan, M., & Sifat, A. I. (2025). Influencers’ impact on consumer engagement and sales conversion on social media: Facebook vs Instagram. American journal of economics and business innovation (Ajebi), 4(1), 20–30. https://www.researchgate.net

  4. [4] Hasan, M. M., Riaz, M. H., Ahmed, Z., Islam, S., Uddin, M. S., Roshid, M. M., … & Atasoy, F. G. (2025). Decarbonizing Bangladesh: The Roles of technological innovation, energy transition, and urban-industrial dynamics in greenhouse Gas emissions. Environment, innovation and management, 1, 2550019. https://doi.org/10.1142/S306090112550019X

  5. [5] Rahman, M., Al Amin, M., Hasan, R., Hossain, S. M. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI framework for cardiovascular disease screening in the us: Integrating EHR data with machine and deep learning models. British journal of nursing studies, 5(2), 40–48. https://doi.org/10.32996/bjns.2025.5.2.5

  6. [6] Sweet, M. M. R., Arif, M., Uddin, A., Sharif, K. S., Tusher, M. I., Devi, S. (2024). Credit risk assessment using statistical and machine learning: Basic methodology and risk modeling applications. International journal on computational engineering, 1(3), 62–67. https://doi.org/10.62527/comien.1.3.21

  7. [7] Urbee, A. J., Hasan, M. A., Ridwan, M., & Dewan, M. F. (2025). Adaptation and resilience in the face of climate-induced migration: Exploring coping strategies in the urban economy of barishal metropolitan city. Environment, innovation and management, 1, 2550005. https://doi.org/10.1142/S306090112550005X

  8. [8] Rahat, S. K. R. U. I., Rahman, M. D. H., Arafat, Y., Rahaman, M., Hasan, M. M., & Al Amin, M. (2025). Advancing diabetic retinopathy detection with AI and deep learning: Opportunities, limitations, and clinical barriers. British journal of nursing studies, 5(2), 1–13. https://doi.org/10.32996/bjns.2025.5.2.1

  9. [9] Ridwan, M., Tahsin, M. S., Al-Absy, M. S. M., Eleais, M., Ridzuan, A. R., & Mukthar, K. P. J. (2025). Economic alchemy: Unraveling the nexus between trade openness, inflation, exchange rates, and economic growth in bangladesh. International journal of economics and financial issues, 15(3), 244. https://doi.org/10.32479/ijefi.17779

  10. [10] Gharbi, I., Rahman, M. H., Muryani, M., Esquivias, M. A., & Ridwan, M. (2025). Exploring the influence of financial development, renewable energy, and tourism on environmental sustainability in Tunisia. Discover sustainability, 6(1), 127. https://doi.org/10.1007/s43621-025-00896-5

  11. [11] Zare, Z., Sifat, A. I., & Karatas, M. (2025). A Review of data analytics and machine learning for personalization in tech sector marketing. Journal of soft computing and decision analytics, 3(1), 92–111. https://doi.org/10.31181/jscda31202562

  12. [12] Raihan, A., Bala, S., Akther, A., Ridwan, M., Eleais, M., & Chakma, P. (2024). Advancing environmental sustainability in the G-7: The impact of the digital economy, technological innovation, and financial accessibility using panel ARDL approach. Journal of economy and technology. https://doi.org/10.1016/j.ject.2024.06.001

  13. [13] Akther, A., Tahrim, F., Voumik, L. C., Esquivias, M. A., & Pattak, D. C. (2025). Municipal solid waste dynamics: Economic, environmental, and technological determinants in Europe. Cleaner engineering and technology, 24, 100877. https://doi.org/10.1016/j.clet.2024.100877

  14. [14] Arif, M., Hasan, M., Al Shiam, S. A., Ahmed, M. P., Tusher, M. I., Hossan, M. Z. (2024). Predicting customer sentiment in social media interactions: Analyzing amazon help twitter conversations using machine learning. International journal of advanced science computing and engineering, 6(2), 52–56. https://doi.org/10.62527/ijasce.6.2.211

  15. [15] Sifat, A. I. (2025). The algorithmic consumer: A conceptual investigation of AI’s influence on consumer preferences and decisions. Asian management and business review, 5(2), 471–486. https://dx.doi.org/10.20885/AMBR.vol5.iss2.art14

  16. [16] Mohaimeen-Ul-Islam, M. (2019). A study on diesel engine combustion. Proceedings of the 2nd international conference on industrial and mechanical engineering and operations management (IMEOM), 118-122. http://dx.doi.org/10.6084/m9.figshare.13055228.v1

  17. [17] Zare, Z., Sifat, A. I., & Zadeh, A. (2025). Leveraging AI for sports fan engagement: Comparing traditional and transformer-based models. Intelligent decision technologies, 18724981251364376. https://doi.org/10.1177/18724981251364377

  18. [18] Ridwan, M. (2023). Unveiling the powerhouse: Exploring the dynamic relationship between globalization, urbanization, and economic growth in Bangladesh through an innovative ARDL approach. Asian journal of economics and business management, 2(2), 283 – 291 https://doi.org/10.53402/ajebm.v2i2.352

  19. [19] Ahmad, S., Raihan, A., & Ridwan, M. (2024). Role of economy, technology, and renewable energy toward carbon neutrality in China. Journal of economy and technology, 2, 138–154. https://doi.org/10.1016/j.ject.2024.04.008

  20. [20] Mozumder, M. A. S., Nguyen, T. N., Devi, S., Arif, M., Ahmed, M. P., Ahmed, E., … & Uddin, A. (2024). Enhancing customer satisfaction analysis using advanced machine learning techniques in fintech industry. Journal of computer science and technology studies, 6(3), 35–41. https://doi.org/10.32996/jcsts.2024.6.3.4

  21. [21] Ridwan, M., Urbee, A. J., Voumik, L. C., Das, M. K., Rashid, M., & Esquivias, M. A. (2024). Investigating the environmental Kuznets curve hypothesis with urbanization, industrialization, and service sector for six South Asian Countries: Fresh evidence from Driscoll Kraay standard error. Research in globalization, 8, 100223. https://doi.org/10.1016/j.resglo.2024.100223

  22. [22] Raihan, A., Ridwan, M., Sarker, T., Atasoy, F. G., Zimon, G., Bari, A. B. M. M., … & Mohajan, B. (2025). The influence of different environmental factors toward Vietnam’s net-zero emissions goal. Innovation and green development, 4(3), 100229. https://doi.org/10.1016/j.igd.2025.100229

  23. [23] Polcyn, J., Voumik, L. C., Ridwan, M., Ray, S., & Vovk, V. (2023). Evaluating the influences of health expenditure, energy consumption, and environmental pollution on life expectancy in Asia. International journal of environmental research and public health, 20(5), 4000. https://doi.org/10.3390/ijerph20054000

  24. [24] Rahman, J., Rahman, H., Islam, N., Tanchangya, T., Ridwan, M., & Ali, M. (2025). Regulatory landscape of blockchain assets: Analyzing the drivers of NFT and cryptocurrency regulation. BenchCouncil transactions on benchmarks, standards and evaluations, 100214. https://doi.org/10.1016/j.tbench.2025.100214

  25. [25] Rahman, M. H., Das, A. C., Shak, M. S., Uddin, M. K., Alam, M. I., Anjum, N., … & Alam, M. (2024). Transforming customer retention in fintech industry through predictive analytics and machine learning. The american journal of engineering and technology, 6(10), 150–163. https://doi.org/10.37547/tajet/Volume06Issue10-17

  26. [26] Ahmad, S., Raihan, A., & Ridwan, M. (2024). Pakistan’s trade relations with BRICS countries: Trends, export-import intensity, and comparative advantage. Frontiers of finance, 2(2), 6551. https://doi.org/10.59429/ff.v2i2.6551

  27. [27] Hossain, M. N., Anjum, N., Alam, M., Rahman, M. H., Taluckder, M. S., Al Bony, M. N. V., … & Jui, A. H. (2024). Performance of machine learning algorithms for lung cancer prediction: A comparative study. International journal of medical science and public health research, 5(11), 41–55. https://doi.org/10.37547/ijmsphr/Volume05Issue11-05

  28. [28] Onwe, J. C., Ridzuan, A. R., Uche, E., Ray, S., Ridwan, M., & Razi, U. (2024). Greening Japan: Harnessing energy efficiency and waste reduction for environmental progress. Sustainable futures, 8, 100302. https://doi.org/10.1016/j.sftr.2024.100302

  29. [29] Mohaimeen-Ul-Islam, M. (2019). Pollutants from inland vessels of Bangladesh-A threat to the environment. Proceedings of the 2nd international conference on industrial and mechanical engineering and operations management (IMEOM), 123-127. https://www.ieomsociety.org/imeom/62.pdf

  30. [30] Ridwan, M., Akther, A., Dhar, B. K., Roshid, M. M., Mahjabin, T., Bala, S., & Hossain, H. (2025). Advancing circular economy for climate change mitigation and sustainable development in the Nordic Region. Sustainable development,1-20. https://doi.org/10.1002/sd.3563

  31. [31] Rahman, M. D. H., Rahaman, M., Arafat, Y., Rahat, S. K. R. U. I., Hasan, R., Rimon, S. M. T. H., & Dipa, S. A. (2025). Artificial intelligence for chronic kidney disease risk stratification in the USA: Ensemble vs. deep learning methods. British journal of nursing studies, 5(2), 20–32. https://doi.org/10.32996/bjns.2025.5.2.3

  32. [32] Orthi, S. M., Rahman, M. H., Siddiqa, K. B., Uddin, M., Hossain, S., Al Mamun, A., & Khan, M. N. (2025). Federated learning with privacy-preserving big data analytics for distributed healthcare systems. Journal of computer science and technology studies, 7(8), 269–281. https://doi.org/10.32996/jcsts.2025.7.8.31

  33. [33] Raihan, A., Voumik, L. C., Ridwan, M., Akter, S., Ridzuan, A. R., Wahjoedi, … & Ismail, N. A. (2024). Indonesia’s path to sustainability: Exploring the intersections of ecological footprint, technology, global trade, financial development and renewable energy. In Opportunities and risks in ai for business development: volume 1 (pp. 1–13). Springer. https://doi.org/10.1007/978-3-031-65203-5_1

  34. [34] Raihan, A., Rahman, S. M., Ridwan, M., Sarker, T., Ben-Salha, O., Rahman, M. M., … & Munira, S. (2025). Dynamic influences of different energy sources, energy efficiency, technological innovation, population, and economic growth toward achieving net zero emissions in the United Kingdom. Innovation and Green Development, 4(4), 100273. https://doi.org/10.1016/j.igd.2025.100273

  35. [35] Ridwan, M., Akther, A., Tamim, M. A., Ridzuan, A. R., Esquivias, M. A., & Wibowo, W. (2024). Environmental health in BIMSTEC: The roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression. Discover sustainability, 5(1), 429. https://doi.org/10.1007/s43621-024-00679-4https://doi.org/10.1007/s43621-024-00679-4

  36. [36] Sifat, A. I., & Elahi, M. A. (2025). Elasticity-driven fare optimization in US air travel segments. Challenges and issues of modern science, 133. https://doi.org/10.15421/cims.4.316

  37. [37] Kurniawati, T., Rahmizal, M., Ridwan, M., Aspy, N. N., Mahjabin, T., Eleais, M., & Ridzuan, A. R. (2025). Reassessing the load capacity curve hypothesis in ASEAN-5: Exploring energy intensity, trade, and financial inclusion with advanced econometric techniques. International journal of energy economics and policy, 15. https://doi.org/10.32479/ijeep.17328

  38. [38] Islam, M. M. U. (2019). Acceleration analysis of transversely vibrated cracked shafts. Proceedings of the 2nd international conference on industrial and mechanical engineering and operations management (IMEOM), 128-131. http://dx.doi.org/10.6084/m9.figshare.13088390.v1

  39. [39] Akash, M. A., Riaz, M. H., Uddin, M. N., Ridwan, M., Akinpelu, A. A., & Akter, R. (2025). Analyzing the drivers of ecological footprint toward sustainability in BRICS+. Environment, innovation and management, 1, 2550017. https://doi.org/10.1142/S3060901125500176

  40. [40] Islam, M. M. U. (2025). Numerical analysis of particle sorting by acoustic waves in microfluidics. Bangladesh army university of engineering, 2(4), 1-7. https://doi.org/10.59321/BAUETJ.V4I2.1

  41. [41] Ridwan, M., Aspy, N. N., Bala, S., Hossain, M. E., Akther, A., Eleais, M., & Esquivias, M. A. (2024). Determinants of environmental sustainability in the United States: Analyzing the role of financial development and stock market capitalization using LCC framework. Discover sustainability, 5(1), 319. https://doi.org/10.1007/s43621-024-00539-1

  42. [42] Shak, M. S., Uddin, A., Rahman, M. H., Anjum, N., Al Bony, M. N. V., Alam, M., … & Pervin, T. (2024). Innovative machine learning approaches to foster financial inclusion in microfinance. International interdisciplinary business economics advancement journal, 5(11), 6–20. https://doi.org/10.55640/business/volume05issue11-02

Published

2025-03-15

How to Cite

Health at Risk: Respiratory, Cardiovascular, and Neurological Impacts of Air Pollution. (2025). Innovations in Environmental Economics , 1(1), 56-69. https://doi.org/10.48313/iee.v1i1.41