Prediction Modeling and Research on the Relationship Between Urban Air Pollutants and Respiratory Diseases

Authors

  • Yang Zhu

DOI:

https://doi.org/10.54097/ajst.v2i3.1531

Keywords:

Air pollutants, Respiratory diseases, Prediction, Arima.

Abstract

In recent years, with the development of urbanization, the use of traditional fuels such as oil and coal is increasing, and air pollution is also becoming increasingly serious. In recent years, people have paid more attention to health issues, and the relationship between air pollution and health has gradually become a research hotspot. Based on the data of air pollutant concentration and respiratory diseases in Shijiazhuang, China, this paper analyzes the correlation between air pollutants and respiratory diseases, and finds that a variety of air pollutants will increase the prevalence of acute respiratory diseases, influenza and pneumonia, and acute upper respiratory infection. Then, this paper uses ARIMA model to predict the data of six air pollutants, and uses ridge regression model, Using the predicted air pollutant data, the number of respiratory diseases in urban population is predicted. Finally, this paper provides suggestions on how to prevent diseases for urban residents in the future.

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Published

8 September 2022

How to Cite

Zhu, Y. (2022). Prediction Modeling and Research on the Relationship Between Urban Air Pollutants and Respiratory Diseases. Academic Journal of Science and Technology, 2(3), 88–93. https://doi.org/10.54097/ajst.v2i3.1531

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Section

Articles