Open Access
Issue
E3S Web Conf.
Volume 331, 2021
International Conference on Disaster Mitigation and Management (ICDMM 2021)
Article Number 02019
Number of page(s) 9
Section Enhancing Framework for Disaster Preparedness
DOI https://doi.org/10.1051/e3sconf/202133102019
Published online 13 December 2021
  1. Rauf, A. U. Mallongi, A. Daud, A. Hatta, M. Al Madhoun, W. Amiruddin, R. Abdul Rahman, S. Wahyu, A. Puji Astuti, R. D. Community Health Risk Assessment of Total Suspended Particulates near a Cement Plant in Maros Regency, Indonesia, J Health Pollution 30: (210616) (2021), [Google Scholar]
  2. World Health Organization (WHO) (2018a) Ambient (Outdoor) Air Quality and Health Available:https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health, Accessed 20th May 2019 Google Scholar [Google Scholar]
  3. World Health Organization, Geneva (WHO) (2018b), 9 out of 10 people worldwide breathe polluted air, but more countries are taking action Google Scholar. [Google Scholar]
  4. World Health Organization (WHO) Global Health Observatory Available: https://www.who.int/data/gho/data/themes/topics/topic-details/GHO/ambient-air-pollution, Accessed 20th Sept 2021 (2021) [Google Scholar]
  5. Vestbo, J., Hurd, S.S., Agustí, A.G., Jones, P.W., Vogelmeier, C., Anzueto, A., Barnes, P.J., Fabbri, L.M., Martinez, F.J., Nishimura, M., Stockley, R.A., Sin, D.D., Rodriguez-Roisin, R., Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease. Am. J. Respir. Crit. Care Med. 187, 347–365 (2013). [CrossRef] [PubMed] [Google Scholar]
  6. Ho, S., Chuang, K., Lee, K., Chen, J., Wu, S., Chen, T., Lee, C., Chang, C., Feng, P., Su, K., Tsai, C., Chuang, H. Chronic obstructive pulmonary disease patients have a higher risk of occurrence of pneumonia by air pollution Science of the Total Environment 677, 524–529 (2019). [Google Scholar]
  7. World Population Review at http://worldpopulationreview.com/countries/indonesiapopul/ (2016) [Google Scholar]
  8. World Resources Institute The wealth of the poor: Managing ecosystems to fight poverty. At http://www.wri.org. (2005). [Google Scholar]
  9. Haryanto, B. Climate change and urban air pollution health impacts in Indonesia. In Climate Change and Air Pollution, 215-239. Springer, Cham (2018). [Google Scholar]
  10. Haryanto B and Franklin P Air pollution: a tale of two countries. Rev Environ Health 26 (1):75–82, (2011) [CrossRef] [Google Scholar]
  11. Muchtar, F., & Ramli, M. I. Estimation of CO vehicular emission on arterial roads in Makassar City based on Caline-4. In IOP Conference Series: Earth and Environmental Science, 235 (1), 012056. IOP Publishing. (2019). [CrossRef] [Google Scholar]
  12. Rashid, M., Yunus, S., Mat, R., Baharun, S., & Lestari, P. PM10 black carbon and ionic species concentration of urban atmosphere in Makassar of South Sulawesi Province, Indonesia. Atmospheric Pollution Research, 5(4), 610-615. (2014). [CrossRef] [Google Scholar]
  13. Sattar, A., Rashid, M., Mat, R., & Puji, L. A Preliminary Survey of Air Quality in Makassar City South Sulawesi Indonesia. Jurnal Teknologi, 57 (1) (2012). [Google Scholar]
  14. Haryanto, B., Resosoedarmo, B., Utami, S. T. B., Hartono, B., & Hermawati, E. Effect of Ambient Particulate Matter (PM2.5) to Prevalence of Impaired Lung Function and Asthma in Tangerang and Makassar. Kesmas: National Public Health Journal, 10 (4), 145-149 (2016). [CrossRef] [Google Scholar]
  15. Suryani, S. Status of Suspended Particulate Matters Pollution at Traditional Markets in Makassar City. In Journal of Physics: Conference Series 979, 1, 012041. IOP Publishing (2018). [CrossRef] [Google Scholar]
  16. Al-Odaini, N. A., Zakaria, M. P., Zali, M. A., Juahir, H., Yaziz, M. I., & Surif, S. Application of chemometrics in understanding the spatial distribution of human pharmaceuticals in surface water. Environmental monitoring and assessment, 184 (11), 6735-6748 (2012). [CrossRef] [PubMed] [Google Scholar]
  17. Shrestha, S., & Kazama, F. (2007). Assessment of surface water quality using multivariate statistical techniques: A case study of the Fuji river basin, Japan. Environmental Modelling & Software, 22 (4), 464-475. [CrossRef] [Google Scholar]
  18. Lau, J., Hung, W. T., Cheung, C. S.. Interpretation of Air Quality with Monitoring Station’s Surrounding. Atmospheric Environmetric. 43: 769-777. (2009) [CrossRef] [Google Scholar]
  19. Ogwueleka, T., C. Use of multivariate statistical techniques for the evaluation of temporal and spatial variations in water quality of the Kaduna River, Nigeria. Environmental monitoring and assessment, 187(3), 1-17., 297-301 (2015). [CrossRef] [PubMed] [Google Scholar]
  20. Zhu, S., Xia, L., Wu, J., Chen, S., Chen, F., Zeng, F., Chen, X., Chen, C., Xia, Y., Zhao, X., Zhang, J. Ambient air pollutants are associated with newly diagnosed tuberculosis: a time-series study in Chengdu, China. Sci. Total Environ. 631-632, 47–55 (2018). [CrossRef] [Google Scholar]
  21. Zhou, S., Xu, B., Qi, L., Zhu, D., Liu, B., Wei, J., Next-generation sequencing reveals mutational accordance between cell-free DNA from plasma, malignant pleural effusion, and ascites and directs targeted therapy in a gastric cancer patient. Cancer Biol. Ther. 1–6 (2018). [Google Scholar]
  22. Smith, G.S., Van Den Eeden, S.K., Garcia, C., Shan, J., Baxter, R., Herring, A.H., Richardson, D.B., Van Rie, A., Emch, M., Gammon, M.D. Air pollution and pulmonary tuberculosis: a nested case-control study among members of a northern California health plan. Environ. Health Perspect. 124, 761–768 (2016). [CrossRef] [PubMed] [Google Scholar]
  23. Yan, D., Zhang, T., Su, J., Zhao, L.L., Wang, H., Fang, X.M., Zhang, Y.Q., Liu, H.Y., Yu, L.Y Structural variation in the bacterial community associated with airborne particulate matter in Beijing, China, during hazy and nonhazy days. Appl. Environ. Microbiol. 84 (pii: e00004-18). (2018). [Google Scholar]
  24. Sun, Y., Xu, S., Zheng, D., Li, J., Tian, H., Wang, Y. Effects of haze pollution on microbial community changes and correlation with chemical components in atmospheric particulate matter. Sci. Total Environ. 637-638, 507–516 (2018). [CrossRef] [Google Scholar]
  25. Nguyen, T.K.P., Tran, T.H., Roberts, C.L., Fox, G.J., Graham, S.M., Marais, B.J. (2017). Risk factors for child pneumonia -focus on the Western Pacific Region. Paediatric Respiratory Reviews, 21; 95-101. [CrossRef] [PubMed] [Google Scholar]

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