IDEAS home Printed from https://ideas.repec.org/a/gam/jmathe/v10y2022i7p1195-d787784.html
   My bibliography  Save this article

InterCriteria Analysis Applied on Air Pollution Influence on Morbidity

Author

Listed:
  • Stefka Fidanova

    (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 25A, 1113 Sofia, Bulgaria)

  • Petar Zhivkov

    (Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 25A, 1113 Sofia, Bulgaria)

  • Olympia Roeva

    (Institute of Biophysics and Biomedical Engineering, Bulgarian Academy of Sciences, Acad. G. Bonchev Str. Bl. 105, 1113 Sofia, Bulgaria)

Abstract

Human health is reflected in all spheres of life and the economy. One of the main causes of morbidity and early mortality is polluted air. Ambient air pollution is a serious source of disease and mortality across the world. Cities are notorious for their high levels of air pollution and sickness. However, the precise degree of the health impacts of air pollution at the municipal level are still largely unclear. One of the main reasons for increased morbidity is the presence of particulate matter. The aim of our study is to show the relationship between elevated levels of particulate matter in the air and certain diseases. In this paper, we apply InterCriteria Analysis (ICrA) to find the correlation between the level of air pollution and the number of people seeking medical help. This is a new approach for the problem. The results show the affect of air pollution on certain diseases with a short exposure on polluted air and when the exposure is prolonged. We observed that some diseases are exacerbated by brief exposure to polluted air, while in others, exacerbation occurs after prolonged exposure.

Suggested Citation

  • Stefka Fidanova & Petar Zhivkov & Olympia Roeva, 2022. "InterCriteria Analysis Applied on Air Pollution Influence on Morbidity," Mathematics, MDPI, vol. 10(7), pages 1-8, April.
  • Handle: RePEc:gam:jmathe:v:10:y:2022:i:7:p:1195-:d:787784
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7390/10/7/1195/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7390/10/7/1195/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francesca Dominici & Lianne Sheppard & Merlise Clyde, 2003. "Health Effects of Air Pollution: A Statistical Review," International Statistical Review, International Statistical Institute, vol. 71(2), pages 243-276, August.
    2. Gochfeld, M. & Burger, J., 2011. "Disproportionate exposures in environmental justice and other populations: The importance of outliers," American Journal of Public Health, American Public Health Association, vol. 101(SUPPL. 1), pages 53-63.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Venelin Todorov & Slavi Georgiev & Ivan Georgiev & Snezhinka Zaharieva & Ivan Dimov, 2023. "Optimizing Air Pollution Modeling with a Highly-Convergent Quasi-Monte Carlo Method: A Case Study on the UNI-DEM Framework," Mathematics, MDPI, vol. 11(13), pages 1-14, June.
    2. Venelin Todorov & Ivan Dimov, 2022. "Innovative Digital Stochastic Methods for Multidimensional Sensitivity Analysis in Air Pollution Modelling," Mathematics, MDPI, vol. 10(12), pages 1-14, June.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Winifred U. Anake & Faith O. Bayode & Hassana O. Jonathan & Conrad A. Omonhinmin & Oluwole A. Odetunmibi & Timothy A. Anake, 2022. "Screening of Plant Species Response and Performance for Green Belt Development: Implications for Semi-Urban Ecosystem Restoration," Sustainability, MDPI, vol. 14(7), pages 1-14, March.
    2. Sabel, Clive Eric & Wilson, Jeff Gaines & Kingham, Simon & Tisch, Catherine & Epton, Mike, 2007. "Spatial implications of covariate adjustment on patterns of risk: Respiratory hospital admissions in Christchurch, New Zealand," Social Science & Medicine, Elsevier, vol. 65(1), pages 43-59, July.
    3. Severine Deguen & Nina Ahlers & Morgane Gilles & Arlette Danzon & Marion Carayol & Denis Zmirou-Navier & Wahida Kihal-Talantikite, 2018. "Using a Clustering Approach to Investigate Socio-Environmental Inequality in Preterm Birth—A Study Conducted at Fine Spatial Scale in Paris (France)," IJERPH, MDPI, vol. 15(9), pages 1-19, August.
    4. Adam A. Szpiro & Lianne Sheppard & Sara D. Adar & Joel D. Kaufman, 2014. "Estimating acute air pollution health effects from cohort study data," Biometrics, The International Biometric Society, vol. 70(1), pages 164-174, March.
    5. Gaurav Jha & Vanaja Kankarla & Everald McLennon & Suman Pal & Debjani Sihi & Biswanath Dari & Dawson Diaz & Mallika Nocco, 2021. "Per- and Polyfluoroalkyl Substances (PFAS) in Integrated Crop–Livestock Systems: Environmental Exposure and Human Health Risks," IJERPH, MDPI, vol. 18(23), pages 1-20, November.
    6. Phuong T. Vu & Timothy V. Larson & Adam A. Szpiro, 2020. "Probabilistic predictive principal component analysis for spatially misaligned and high‐dimensional air pollution data with missing observations," Environmetrics, John Wiley & Sons, Ltd., vol. 31(4), June.
    7. Phuong T. Vu & Adam A. Szpiro & Noah Simon, 2022. "Spatial matrix completion for spatially misaligned and high‐dimensional air pollution data," Environmetrics, John Wiley & Sons, Ltd., vol. 33(4), June.
    8. Beatty, Timothy K.M. & Shimshack, Jay P., 2014. "Air pollution and children's respiratory health: A cohort analysis," Journal of Environmental Economics and Management, Elsevier, vol. 67(1), pages 39-57.
    9. Qinling Yan & Sanyi Tang & Zhen Jin & Yanni Xiao, 2019. "Identifying Risk Factors Of A(H7N9) Outbreak by Wavelet Analysis and Generalized Estimating Equation," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    10. Peter Guttorp, 2003. "Environmental Statistics—A Personal View," International Statistical Review, International Statistical Institute, vol. 71(2), pages 169-179, August.
    11. Bhar, Soumyajit & Lele, Sharachchandra & Min, Jihoon & Rao, Narasimha D., 2024. "Water, air pollution and carbon footprints of conspicuous/luxury consumption in India," Ecological Economics, Elsevier, vol. 218(C).
    12. X. Pautrel, 2008. "Reconsidering the Impact of the Environment on Long-run Growth when Pollution Influences Health and Agents have a Finite-lifetime," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 40(1), pages 37-52, May.
    13. Yuqin Jiao & Julie K. Bower & Wansoo Im & Nicholas Basta & John Obrycki & Mohammad Z. Al-Hamdan & Allison Wilder & Claire E. Bollinger & Tongwen Zhang & Luddie Sr. Hatten & Jerrie Hatten & Darryl B. H, 2015. "Application of Citizen Science Risk Communication Tools in a Vulnerable Urban Community," IJERPH, MDPI, vol. 13(1), pages 1-24, December.
    14. Lee, Eun Kyung & Donley, Gwendolyn & Ciesielski, Timothy H. & Gill, India & Yamoah, Owusua & Roche, Abigail & Martinez, Roberto & Freedman, Darcy A., 2022. "Health outcomes in redlined versus non-redlined neighborhoods: A systematic review and meta-analysis," Social Science & Medicine, Elsevier, vol. 294(C).
    15. Magali Delmas & Maria J. Montes‐Sancho & Jay P. Shimshack, 2010. "Information Disclosure Policies: Evidence From The Electricity Industry," Economic Inquiry, Western Economic Association International, vol. 48(2), pages 483-498, April.
    16. Moon Joon Kim & Xiaolin Xie & Xiaochen Zhang, 2021. "How Does an Environmental Amenity Attract Voluntary Migrants? Evidence from Ambient Air Quality in China," Sustainability, MDPI, vol. 13(12), pages 1-19, June.
    17. J. Paul Leavell, 2016. "Point redemption matters: A response to Murthi et al (2011)," Journal of Financial Services Marketing, Palgrave Macmillan, vol. 21(4), pages 298-307, December.
    18. Julie E. Goodman & Catherine Petito Boyce & Sonja N. Sax & Leslie A. Beyer & Robyn L. Prueitt, 2015. "Rethinking Meta‐Analysis: Applications for Air Pollution Data and Beyond," Risk Analysis, John Wiley & Sons, vol. 35(6), pages 1017-1039, June.
    19. Ruth M. Pfeiffer & Mitchell H. Gail, 2023. "Discussion of “A formal causal interpretation of the case‐crossover design” by Zach Shahn, Miguel A. Hernan, and James M. Robins," Biometrics, The International Biometric Society, vol. 79(2), pages 1346-1348, June.
    20. Catherine E. LePrevost & Kathleen M. Gray & Mercedes Hernández-Pelletier & Brennan D. Bouma & Consuelo Arellano & W. Gregory Cope, 2013. "Need for Improved Risk Communication of Fish Consumption Advisories to Protect Maternal and Child Health: Influence of Primary Informants," IJERPH, MDPI, vol. 10(5), pages 1-15, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jmathe:v:10:y:2022:i:7:p:1195-:d:787784. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.