Details

Title

Predicting air quality trends in Malaysia’s largest cities: the role of urban population dynamics and COVID-19 effects

Journal title

Archives of Environmental Protection

Yearbook

2024

Volume

50

Issue

2

Affiliation

Ming Wong, Wong : International College, Krirk University, Thailand ; Tzeng, Shian-Yang : School of Economics and Management, Quanzhou University of Information Engineering, China ; Mo, Hao-Fan : JinWen University of Science and Technology, Taiwan ; Su, Wunhong : 4School of Accounting, Hangzhou Dianzi University, China

Authors

Keywords

Air quality index; ; COVID-19; ; Malaysia; ; Cluster Analysis; ; Generalized Additive Mixed Model;

Divisions of PAS

Nauki Techniczne

Coverage

65-74

Spatial coverage

65-74

Publisher

Polish Academy of Sciences

Bibliography

  1. Augustin, N. H., Musio, M., von Wilpert, K., Kublin, E., Wood, S. N. & Schumacher, M. (2009). Modeling Spatiotemporal Forest Health Monitoring Data. Journal of the American Statistical Association, 104(487), pp. 899-911. DOI:10.1198/jasa.2009.ap07058
  2. Barouki, R., Kogevinas, M., Audouze, K., Belesova, K., Bergman, A., Birnbaum, L. & Vineis, P. (2021). The COVID-19 pandemic and global environmental change: Emerging research needs. Environment International, 146, 106272. DOI:10.1016/j.envint.2020.106272
  3. Chaudhuri, S. & Chowdhury, A. R. (2018). Air quality index assessment prelude to mitigate environmental hazards. Natural Hazards, 91(1), pp. 1-17.DOI:10.1007/s11069-017-3080-3
  4. Chen, C. (2000). Generalized additive mixed models. Communications in Statistics - Theory and Methods, 29(5-6), pp. 1257-1271.DOI:10.1080/03610920008832543
  5. Chenarides, L., Grebitus, C., Lusk, J. L. & Printezis, I. (2021). Food consumption behavior during the COVID-19 pandemic. Agribusiness, 37(1), pp. 44-81. DOI:,DOI:10.1002/agr.21679
  6. Constantinescu, C. (2019, April 25). Using generalised additive mixed models (gamms) to predict visitors to edinburgh and craigmillar castles. Technical blog from our data science team. https://thedatalab.com/tech-blog/using-generalised-additive-mixed-models-gamms-to-predict-visitors-to-edinburgh-and-craigmillar-castles/
  7. Department of Environment. (2013). General Information of Air Pollutant Index. Retrieved May 6 from http://www.doe.gov.my/webportal/en/info-umum/bahasa-inggeris-general-information-of-air-pollutant-index/
  8. Department of Statistics Malaysia Official Portal. (2020). Population by state, administrative district and sex, 2016-2018. Retrieved April 25 from https://www.dosm.gov.my/v1/index.php?r=column3/accordion&menu_id=aHhRYUpWS3B4VXlYaVBOeUF0WFpWUT09
  9. Environment and Climate Change Canada. (2021, April 28, 2021). About the Air Quality Health Index. Retrieved May 6 from https://www.canada.ca/en/environment-climate-change/services/air-quality-health-index/about.html
  10. Gkatzelis, G. I., Gilman, J. B., Brown, S. S., Eskes, H., Gomes, A. R., Lange, A. C. & Kiendler-Scharr, A. (2021). The global impacts of COVID-19 lockdowns on urban air pollution: A critical review and recommendations. Elementa: Science of the Anthropocene, 9(1). DOI:10.1525/elementa.2021.00176
  11. Hastie, T. J. & Tibshirani, R. J. (1990). Generalized Additive Models. Taylor & Francis. https://books.google.co.th/books?id=qa29r1Ze1coC
  12. Hormozi, A. M. & Giles, S. (2004). Data Mining: A Competitive Weapon for Banking and Retail Industries. Information Systems Management, 21(2), pp. 62-71. DOI:10.1201/1078/44118.21.2.20040301/80423.9
  13. Jenkins, N. (2015, October 4, 2015). The current haze over Southeast Asia could be among the worst ever. Time. https://time.com/4060786/haze-singapore-indonesia-malaysia-pollution/
  14. Kaewrat, J. & Janta, R. (2021). Effect of COVID-19 Prevention Measures on Air Quality in Thailand. Aerosol and Air Quality Research, 21(3), 200344. DOI:10.4209/aaqr.2020.06.0344
  15. Kotsiou, O. S., Kotsios, V. S., Lampropoulos, I., Zidros, T., Zarogiannis, S. G. & Gourgoulianis, K. I. (2021). PM2.5 Pollution Strongly Predicted COVID-19 Incidence in Four High-Polluted Urbanized Italian Cities during the Pre-Lockdown and Lockdown Periods. International Journal of Environmental Research and Public Health, 18(10), 5088. DOI:10.3390/ijerph18105088
  16. Lee, M. & Finerman, R. (2021). COVID-19, commuting flows, and air quality. Journal of Asian Economics, 77, 101374. DOI:10.1016/j.asieco.2021.101374
  17. Li, J., Hallsworth, A. G. & Coca‐Stefaniak, J. A. (2020). Changing Grocery Shopping Behaviours Among Chinese Consumers At The Outset Of The COVID‐19 Outbreak. Journal of Economic and Human Geography, 111(3), pp. 574-583. DOI:10.1111/tesg.12420
  18. Li, L., Lin, G.-Z., Liu, H.-Z., Guo, Y., Ou, C.-Q. & Chen, P.-Y. (2015). Can the Air Pollution Index be used to communicate the health risks of air pollution? Environmental Pollution, 205, pp. 153-160. DOI:,DOI:10.1016/j.envpol.2015.05.038
  19. Liao, Q., Yuan, J., Dong,M., Yang,L., Fielding,R. & Lam, W.W.T. (2020). Public Engagement and Government Responsiveness in the Communications About COVID-19 During the Early Epidemic Stage in China: Infodemiology Study on Social Media Data. J Med Internet Res, 22(5), e18796. DOI:10.2196/18796
  20. Lim, Y. K., Kweon, O. J., Kim, H. R., Kim, T.-H. & Lee, M.-K. (2021). The impact of environmental variables on the spread of COVID-19 in the Republic of Korea. Scientific Reports, 11(1), 5977. DOI:10.1038/s41598-021-85493-y
  21. Liu, Q., Xu, S. & Lu, X. (2021). Association between air pollution and COVID-19 infection: evidence from data at national and municipal levels. Environ Sci Pollut Res Int, 28(28), pp. 37231-37243. DOI:10.1007/s11356-021-13319-5
  22. Mathieu, E., Ritchie, H., Ortiz-Ospina, E., Roser, M., Hasell, J., Appel, C. & Rodés-Guirao, L. (2021). A global database of COVID-19 vaccinations. Nature Human Behaviour, 5(7), pp. 947-953. DOI:10.1038/s41562-021-01122-8
  23. Meo, S. A., Abukhalaf, A. A., Alessa, O. M., Alarifi, A. S., Sami, W. & Klonoff, D. C. (2021). Effect of Environmental Pollutants PM2.5, CO, NO2, and O3 on the Incidence and Mortality of SARS-CoV-2 Infection in Five Regions of the USA. International Journal of Environmental Research and Public Health, 18(15), 7810. DOI:10.3390/ijerph18157810
  24. Pinheiro, J. C. & Bates, D. (2009). Mixed-Effects Models in S and S-PLUS. Springer. https://books.google.co.th/books?id=y54QDUTmvDcC
  25. Plaia, A. & Ruggieri, M. (2011). Air quality indices: a review. Reviews in Environmental Science and Bio/Technology, 10(2), pp. 165-179. DOI:10.1007/s11157-010-9227-2
  26. Tang, W., Hu, T., Yang, L. & Xu, J. (2020). The role of alexithymia in the mental health problems of home-quarantined university students during the COVID-19 pandemic in China. Pers Individ Dif, 165, 110131. DOI:10.1016/j.paid.2020.110131
  27. The World Air Quality Index Project. (2022). Air Quality Historical Data Platform. https://aqicn.org/data-platform/register
  28. Valdés Salgado, M., Smith, P., Opazo, M. A. & Huneeus, N. (2021). Long-Term Exposure to Fine and Coarse Particulate Matter and COVID-19 Incidence and Mortality Rate in Chile during 2020. International Journal of Environmental Research and Public Health, 18(14), 7409. DOI:10.3390/ijerph18147409
  29. Wang, J., Wang, J. X. & Yang, G. S. (2020). The Psychological Impact of COVID-19 on Chinese Individuals. Yonsei Med J, 61(5), pp. 438-440. DOI:10.3349/ymj.2020.61.5.438
  30. Wetchayont, P. (2021). Investigation on the Impacts of COVID-19 Lockdown and Influencing Factors on Air Quality in Greater Bangkok, Thailand. Advances in Meteorology, 6697707. DOI:10.1155/2021/6697707
  31. Wong, W. M., Wang, X. & Wang, Y. (2023). The intersection of COVID-19 and air pollution: A systematic literature network analysis and roadmap for future research. Environ Res, 237(Pt 2), 116839. DOI:10.1016/j.envres.2023.116839
  32. Wood, S. N. (2006). Low-rank scale-invariant tensor product smooths for generalized additive mixed models. Biometrics, 62(4), pp. 1025-1036. DOI:10.1111/j.1541-0420.2006.00574.x
  33. Wood, S. N. (2011). Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society: Series B (Statistical Methodology), 73(1), pp. 3-36. DOI:,DOI:10.1111/j.1467-9868.2010.00749.x
  34. Wood, S. N. (2017). Generalized Additive Models: An Introduction with R (2nd ed.). CRC Press. https://books.google.co.th/books?id=HL-PDwAAQBAJ
  35. Yang, A., Qiu, Q., Kong, X., Sun, Y., Chen, T., Zuo, Y. & Peng, A. (2020). Clinical and Epidemiological Characteristics of COVID-19 Patients in Chongqing China. Front Public Health, 8, 244. DOI:10.3389/fpubh.2020.00244
  36. Zhang, Y. & Ma, Z. F. (2020). Impact of the COVID-19 Pandemic on Mental Health and Quality of Life among Local Residents in Liaoning Province, China: A Cross-Sectional Study. Int J Environ Res Public Health, 17(7). DOI:10.3390/ijerph17072381
  37. Zuur, A., Ieno, E. N., Walker, N., Saveliev, A. A. & Smith, G. M. (2009). Mixed Effects Models and Extensions in Ecology with R. Springer. https://books.google.co.th/books?id=vQUNprFZKHsC

Date

08.05.2024

Type

Article

Identifier

DOI: 10.24425/aep.2024.150553

DOI

10.24425/aep.2024.150553

Pages

65-74

Abstracting & Indexing

Abstracting & Indexing


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