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Quantitative Relationship Between Particulate Matter and Morbidity

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Large-Scale Scientific Computing (LSSC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13127))

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Abstract

Air pollution is a major environmental health problem affecting everyone. According to the World Health Organization (WHO), there is a close relationship between small particles (PM10 and PM2.5) and increased morbidity or mortality, both daily and over time. We investigated this quantitative relationship in Sofia by comparing levels of particulate matter with a baseline number of hospital, emergency department visits, asthma prevalence, and other morbidity outcomes from 4 local health sources. The methods for this comparison model are linear correlation and non-parametric correlation analysis of a time series study conducted in Sofia from 1 January 2017 to 31 May 2019. We introduce in this study an optimized spatial and time coverage of air quality by including data from a network of citizen stations. These benefits are weighed against limitations, such as model performance, the precision of the data in days with high humidity, and the appropriateness of which will depend on epidemiological study design. The final results that will be presented can be used for optimizing healthcare and pharmaceutical planning by justifying what acute morbidities are mostly affected by higher concentrations of PM10 and PM2.5.

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Acknowledgements

The authors would like to thank the anonymous reviewers for their helpful comments, and also the hospitals Pirogov, Tokuda, the Emergency Medical Aid Sofia, Faculty of Public Health at MU Sofia, Sofia Municipality, Air for Health, Air Solutions, and air.bg for the cooperating with data for this research. In addition, the project Grant No BG05M2OP001-1.001-0003, financed by the Science and Education for Smart Growth Operational Program and co-financed by the European Union through the European structural and Investment funds.

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Authors and Affiliations

  1. Institute of Information and Communication Technologies - Bulgarian Academy of Sciences (IICT-BAS), acad. Georgi Bonchev Street Bl. 2, 1113, Sofia, Bulgaria

    Petar Zhivkov

  2. Medical Institute of Ministry of Interior, Gen Skobelev blvd. 79, 1606, Sofia, Bulgaria

    Alexandar Simidchiev

Authors
  1. Petar Zhivkov
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  2. Alexandar Simidchiev
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Corresponding authors

Correspondence to Petar Zhivkov or Alexandar Simidchiev .

Editor information

Editors and Affiliations

  1. IICT-BAS, Sofia, Bulgaria

    Ivan Lirkov

  2. IICT-BAS, Sofia, Bulgaria

    Svetozar Margenov

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Zhivkov, P., Simidchiev, A. (2022). Quantitative Relationship Between Particulate Matter and Morbidity. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2021. Lecture Notes in Computer Science, vol 13127. Springer, Cham. https://doi.org/10.1007/978-3-030-97549-4_32

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  • DOI: https://doi.org/10.1007/978-3-030-97549-4_32

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-97548-7

  • Online ISBN: 978-3-030-97549-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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