Study on COVID-19 prevention and control based on the principle of sewage epidemiology

Authors

  • Jingwen Liang
  • Xiner Huang
  • Yuanni Niu

DOI:

https://doi.org/10.54097/hset.v8i.1104

Keywords:

analytic hierarchy process, K-means cluster analysis, sewage detection

Abstract

Through the analysis and study of the current virus level of wastewater at each site on the website, the percentage change in the past 15 days, and the percentage of wastewater samples that can detect the virus in the past 15 days, this paper establishes an evaluation model based on the distribution of sewage monitoring sampling points and a K-Means clustering model, and finally helps to add ten new sewage monitoring sampling points, and analyzes the severity of the risk of future large-scale epidemic transmission in four major regions of the United States, providing early warning and corresponding prevention and control measures for local governments. In this paper, the analytic hierarchy process is used for modeling, three keywords "population, environment and epidemic prevention" are extracted, and they are used as the criterion layer, which is then extended from the criterion layer. A total of nine three-level indicators are found as the index layer, and the scoring standard is established to judge the rationality of the distribution of sewage detection sampling points. The results show that the scores of the four major regions of the United States are more than 200, which is reasonable. In order to select ten new sampling points, K-means clustering algorithm is used to divide the data points into 10 regions based on the Euclidean distance between coordinate points. Finally, Louisiana, Nevada, West Virginia, Hawaii, South Dakota, Illinois, Georgia, Massachusetts, New Mexico and Montana are selected. In order to predict the possible large-scale epidemic situation in the four major regions of the United States, three indicators are selected: the current virus level of wastewater at each site, the percentage change data in the past 15 days and the percentage of wastewater samples that can detect the virus. The data are preprocessed by regions. The severity of the epidemic situation is estimated according to the epidemic transmission risk threshold. Finally, five suggestions are given: ① call on people to fight the epidemic together, Strengthen publicity and education on epidemic prevention and control. ②Timely respond to the complaints of local governments and epidemic prevention institutions, and implement epidemic prevention policies. ③ An emergency plan should be established to strengthen the emergency handling capacity. ④ Establish and improve the supervision mechanism to reduce the infection rate of new crown.

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References

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Published

17-08-2022

How to Cite

Liang, J., Huang, X., & Niu, Y. (2022). Study on COVID-19 prevention and control based on the principle of sewage epidemiology. Highlights in Science, Engineering and Technology, 8, 7-13. https://doi.org/10.54097/hset.v8i.1104