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Establishment of an Internet-Based Epidemiological Survey Data Collection Customized System Model
1Faculty of Printing, Packaging Engineering and Digital Media Technology, Xi'an University of Technology, Xi'an, China.
Frontiers in Public Health
|November 1, 2021
Summary
This study introduces a new data collection system model for epidemiological surveys, enhancing efficiency in analyzing disease patterns. The model improves information processing for better epidemic prevention and control strategies.
Area of Science:
- Preventive Medicine
- Epidemiology
- Public Health
Background:
- Epidemiology is crucial for understanding disease etiology and epidemic patterns.
- Effective data collection and analysis are vital for developing scientific prevention measures.
- The COVID-19 pandemic highlighted the need for efficient epidemiological data management.
Purpose of the Study:
- To develop a data collection system model for epidemiological surveys.
- To improve the efficiency of data collection, induction, and analysis.
- To enhance epidemic prevention and control through better data processing.
Main Methods:
- Investigated the current status and challenges of epidemiological survey data collection.
- Developed a customized, Internet-based epidemiological survey system model.
- Integrated data mining and backpropagation algorithms for information processing.
Main Results:
- The optimized correction evaluation index improved from 8.384 to 9.067.
- The system demonstrated enhanced information processing capabilities.
- Professional information disclosure platforms positively impact epidemic prevention.
Conclusions:
- The developed system model effectively integrates epidemiological data.
- The system promotes a better understanding of epidemic spread.
- This contributes to the advancement of preventive medicine and public health strategies.
Keywords:
collection customized system modeldata collectionepidemiological studyinternet agesystem modelMore Related Videos
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