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International Journal of Frontiers in Engineering Technology, 2023, 5(7); doi: 10.25236/IJFET.2023.050708.

Auxiliary optimization of wastewater monitoring in infectious diseases

Author(s)

Mingshuang Gu, Mengmeng Zhao, Bo Chen

Corresponding Author:
Mingshuang Gu
Affiliation(s)

College of Engineering, Tibet University, Lhasa, 850000, China

Abstract

In order to reduce the cost of infectious disease surveillance and to quickly identify the areas of occurrence of infectious diseases, Wastewater Based Epidemiology (WBE) is applied to infectious disease analysis. To address the problem of wastewater monitoring, this paper downloaded the data of 701 sampling points of wastewater monitoring in the United States from the Center for Disease Control and Prevention website, and analyzed whether the location of wastewater monitoring stations was reasonable and adjusted them by using the fuzzy comprehensive judgment method and TSP algorithm. In order to be able to use the monitoring data of the monitoring sites more accurately to determine the development of infectious diseases in their areas, this paper analyzed the wastewater data (from CDC) of the monitoring sites, studied their change patterns, and established SVR models for prediction.

Keywords

Wastewater Monitoring, Infectious Diseases, Fuzzy Integrated Judgment, TSP Algorithm, SVR Forecast

Cite This Paper

Mingshuang Gu, Mengmeng Zhao, Bo Chen. Auxiliary optimization of wastewater monitoring in infectious diseases. International Journal of Frontiers in Engineering Technology (2023), Vol. 5, Issue 7: 50-56. https://doi.org/10.25236/IJFET.2023.050708.

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