Method for evaluating influence of atmospheric pollution on female reproductive health

Abstract

The invention discloses a method for evaluating the influence of atmospheric pollution on female reproductive health. The method comprises the following steps: S1, data acquisition: collecting atmospheric pollution data and female reproductive health data; s2, data integration and processing: integrating and processing the collected air pollution data and female reproductive health data; s3, establishing an evaluation model: establishing an evaluation model between atmospheric pollution and female reproductive health according to the integrated and processed data, and determining evaluation model parameters; s4, performing evaluation; s5, continuously optimizing and improving; and S6, making countermeasures. The method for evaluating the influence of the atmospheric pollution on the female reproductive health comprehensively considers various atmospheric pollutants and female reproductive health indexes, can comprehensively evaluate the influence of the atmospheric pollution on the female reproductive health, and has the advantages of comprehensiveness, scientificity, practicability, dynamics and the like; and a powerful tool is provided for evaluating the influence of atmospheric pollution on female reproductive health.

Description

Technical Field

[0001] The present invention relates to the field of environmental science and public health technology, and in particular to a method for evaluating the impact of air pollution on female reproductive health. Background Art

[0002] Reproductive health refers to the status of an individual's reproductive system, reproductive process, and reproductive function at every stage of life, including physical and mental health related to reproduction. Common reproductive health issues include: reproductive system diseases, early pregnancy in adolescents, contraception, maternal depression, prevention and treatment of sexually transmitted diseases, assisted reproduction, etc. Female reproductive health is a comprehensive concept that covers the physical, mental, and social health status of the female reproductive system and its functions and processes. With the rapid development of industrialization and urbanization, air pollution has become a global environmental problem, posing a serious threat to human health. In recent years, more and more studies have begun to focus on the impact of air pollutants on female reproductive health, but a unified and systematic evaluation method has not yet been formed. Therefore, it is necessary to develop a scientific and effective evaluation method to comprehensively and accurately evaluate the impact of air pollution on female reproductive health. Summary of the invention

[0003] The purpose of the present invention is to provide a method for evaluating the impact of air pollution on female reproductive health, which comprehensively considers a variety of air pollutants and female reproductive health indicators and can comprehensively evaluate the impact of air pollution on female reproductive health. The evaluation method has the advantages of comprehensiveness, scientificity, practicality and dynamism, and provides a powerful tool for evaluating the impact of air pollution on female reproductive health, so as to solve the problems raised in the above-mentioned background technology.

[0004] To achieve the above object, the present invention provides the following technical solutions:

[0005] A method for evaluating the impact of air pollution on female reproductive health comprises the following steps:

[0006] S1. Data collection: Collect air pollution data and female reproductive health data;

[0007] S2. Data integration and processing: Integrate and process the collected air pollution data and female reproductive health data;

[0008] S3. Establish an evaluation model: construct an evaluation model between air pollution and female reproductive health based on the integrated and processed data, and determine the evaluation model parameters;

[0009] S4. Assessment: Use the assessment model to process air pollution data and analyze the impact and trend of air pollution on women’s reproductive health;

[0010] S5. Continuous optimization and improvement: Regularly review and evaluate the assessment methods, and continuously optimize and improve them according to actual needs and technological development;

[0011] S6. Countermeasure formulation: Develop targeted prevention and control countermeasures and measures based on the assessment results and early warning information.

[0012] Preferably, the S1 specifically includes:

[0013] Use environmental monitoring equipment to continuously obtain data on the types, concentrations and distribution of pollutants in the atmosphere to collect air pollution data;

[0014] Female reproductive health data are collected through medical records, health surveys, and reproductive health monitoring. Female reproductive health data include trace element content in the body, fertility, pregnancy outcomes, reproductive system diseases, etc.

[0015] Preferably, S2 specifically includes:

[0016] Integrate the collected air pollution data and female reproductive health data to establish a related database;

[0017] Clean and preprocess the data in the relational database to ensure the accuracy and consistency of the data;

[0018] Statistical methods were used to conduct correlation analysis between air pollution data and female reproductive health data.

[0019] Preferably, the cleaning and preprocessing of the data in the associated database includes missing value processing and outlier detection; wherein the missing value processing uses mean filling, median filling or multiple interpolation methods to process missing data, and the outlier detection uses box plots and Z-score methods to identify and process outliers.

[0020] Preferably, the statistical method includes regression analysis and correlation analysis.

[0021] Preferably, the regression analysis uses multiple linear regression to explore the multiple effects of air pollution indicators in air pollution data on female reproductive health indicators in female reproductive health data, and the model form is:

[0022] Y=β 0 +β 1 X 1 +β 2 X 2 +…+β k X k +ε

[0023] Among them, Y is the female reproductive health index, X 1 , X 2 , …, X kis the air pollution index, β 0 , β 1 , …, β k is the regression coefficient and ε is the error term.

[0024] Preferably, the correlation analysis uses the Spearman rank correlation coefficient to analyze the correlation between the air pollution index and the female reproductive health index, specifically, the data of the variables (X, Y) in the two air pollution indicators are sorted, and the positions after sorting (X′, Y′) are recorded. The value of (X′, Y′) here is called the rank, and then the difference in the rank is calculated, that is, d i =X′-Y′, then calculate d i The average value d mean =(Σd i ) / n, where n is the number of observations. Finally, the Spearman rank correlation coefficient r is calculated using the formula:

[0025]

[0026] Among them, the value range of r is [-1, 1], and the specific meaning is as follows: r=1 means that the two variables are completely positively correlated, r=-1 means that the two variables are completely negatively correlated, r=0 means that the two variables have no linear correlation, and the absolute value of r indicates the closeness of the linear correlation between the two variables. The strength of the correlation can be judged based on the absolute value of r.

[0027] Preferably, S3 specifically includes:

[0028] According to the data analysis results, an evaluation model between air pollution and female reproductive health was constructed based on epidemiological principles;

[0029] Determine the evaluation indicators, including fertility rate, infertility incidence, miscarriage rate, and premature birth rate, as evaluation model parameters.

[0030] Preferably, S4 also includes establishing an early warning system, setting early warning thresholds, and issuing early warning information in a timely manner according to the evaluation results;

[0031] The workflow of the early warning system includes:

[0032] Warning trigger: when one or more key risk indicators in air pollution data exceed the warning threshold, the system automatically triggers the warning;

[0033] Information review to ensure the accuracy and timeliness of early warning information, and conduct manual review when necessary;

[0034] Information release: timely release of early warning information to relevant parties through appropriate channels, including SMS, email, social media, and official websites;

[0035] Information tracking: After issuing an early warning, continue to track the development of risks and update early warning information when necessary.

[0036] Preferably, S6 also includes feeding back the assessment results and countermeasures to relevant departments and the public to enhance public awareness of the relationship between air pollution and female reproductive health, and proposing countermeasures and suggestions for reducing the impact of air pollution on female reproductive health based on the assessment results and warning information.

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention comprehensively considers a variety of atmospheric pollutants and female reproductive health indicators, can comprehensively evaluate the impact of atmospheric pollution on female reproductive health, and ensures the scientificity and accuracy of the evaluation results by constructing an evaluation model and using technical means such as statistical methods and machine learning algorithms for analysis. The evaluation results are directly used to formulate prevention and control strategies and measures, providing strong support for reducing the harm of atmospheric pollution to female reproductive health. The evaluation method has a mechanism for continuous optimization and improvement, can adapt to changes in actual needs and technological development, and ensure the timeliness and effectiveness of the evaluation results. The evaluation method has the advantages of comprehensiveness, scientificity, practicality and dynamism, and provides a powerful tool for evaluating the impact of atmospheric pollution on female reproductive health. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] Figure 1 A flow chart of a method for evaluating the impact of air pollution on female reproductive health provided by the present invention;

[0040] Figure 2 The present invention provides a flowchart of an early warning system for a method for evaluating the impact of air pollution on female reproductive health. DETAILED DESCRIPTION

[0041] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0042] Therefore, the following detailed description of the embodiments of the present invention provided in the accompanying drawings is not intended to limit the scope of the invention claimed for protection, but merely represents selected embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0043] See also Figure 1 and Figure 2 The present invention provides a method for evaluating the impact of air pollution on female reproductive health, comprising the following steps:

[0044] S1. Data collection: Collect air pollution data and female reproductive health data;

[0045] Use environmental monitoring equipment to continuously obtain data on the types, concentrations and distribution of pollutants in the atmosphere to collect air pollution data;

[0046] Collect female reproductive health data through medical records, health surveys, and reproductive health monitoring, including trace element content in the body, fertility, pregnancy outcomes, reproductive system diseases, etc.;

[0047] This step is the basis of the evaluation process, which aims to comprehensively collect air pollution data and female reproductive health data. Air pollution data may include concentration and distribution data of various pollutants such as PM2.5, PM10, SO2, NO2, etc.; female reproductive health data may cover multiple aspects such as trace element content in the body, fertility, pregnancy outcomes, reproductive system diseases, etc.

[0048] S2. Data integration and processing: Integrate and process the collected air pollution data and female reproductive health data;

[0049] Integrate the collected air pollution data and female reproductive health data to establish a related database;

[0050] Clean and preprocess the data in the relational database to ensure the accuracy and consistency of the data;

[0051] Cleaning and preprocessing the data in the relational database include missing value processing and outlier detection; missing value processing uses mean filling, median filling or multiple interpolation methods to process missing data, and outlier detection uses box plots and Z-score methods to identify and process outliers;

[0052] Use statistical methods to conduct correlation analysis between air pollution data and female reproductive health data;

[0053] The statistical methods include regression analysis and correlation analysis;

[0054] The regression analysis uses multiple linear regression to explore the multiple effects of air pollution indicators in air pollution data on female reproductive health indicators in female reproductive health data, and the model form is:

[0055] Y=β 0 +β 1 X 1 +β2 X 2 +…+β k X k +ε

[0056] Among them, Y is the female reproductive health index, X 1 , X 2 , …, X k is the air pollution index, β 0 , β 1 , …, β k is the regression coefficient, ε is the error term;

[0057] The correlation analysis uses the Spearman rank correlation coefficient to analyze the correlation between the air pollution index and the female reproductive health index. Specifically, the data of the variables (X, Y) in the two air pollution indicators are sorted, and the positions after sorting (X′, Y′) are recorded. The value of (X′, Y′) here is called the rank. Then, the difference in the rank is calculated, that is, d i =X′-Y′, then calculate d i The average value d mean =(Σd i ) / n, where n is the number of observations. Finally, the Spearman rank correlation coefficient r is calculated using the formula:

[0058]

[0059] The value range of r is [-1, 1], and its specific meaning is as follows: r = 1 means that the two variables are completely positively correlated, r = -1 means that the two variables are completely negatively correlated, and r = 0 means that the two variables have no linear correlation. The absolute value of r indicates the closeness of the linear correlation between the two variables. The strength of the correlation can be judged based on the absolute value of r.

[0060] Integrate the large amount of complex data collected, remove redundant and erroneous information, ensure the accuracy and consistency of the data, and at the same time, perform necessary cleaning and preprocessing on the data to provide reliable data support for subsequent analysis.

[0061] S3. Establish an evaluation model: construct an evaluation model between air pollution and female reproductive health based on the integrated and processed data, and determine the evaluation model parameters;

[0062] According to the data analysis results, an evaluation model between air pollution and female reproductive health was constructed based on epidemiological principles;

[0063] Determine the evaluation indicators, including fertility rate, infertility incidence, miscarriage rate, and premature birth rate, as evaluation model parameters;

[0064] Based on the integrated and processed data, an assessment model between air pollution and women's reproductive health is constructed. This model needs to fully consider the types, concentrations and distribution of air pollutants and their complex relationship with women's reproductive health. The parameters and structure of the assessment model are determined through advanced technologies such as statistical methods and machine learning algorithms.

[0065] S4. Assessment: Use the assessment model to process air pollution data and analyze the impact and trend of air pollution on women’s reproductive health;

[0066] According to the evaluation results, establish an early warning system, set early warning thresholds, and release early warning information in a timely manner;

[0067] The workflow of the early warning system includes:

[0068] Warning trigger: when one or more key risk indicators in air pollution data exceed the warning threshold, the system automatically triggers the warning;

[0069] Information review to ensure the accuracy and timeliness of early warning information, and conduct manual review when necessary;

[0070] Information release: timely release of early warning information to relevant parties through appropriate channels, including SMS, email, social media, and official websites;

[0071] Information tracking: After issuing an early warning, continue to track the development of risks and update early warning information when necessary;

[0072] The established assessment model is used to process and analyze air pollution data to reveal the extent and trend of the impact of air pollution on women's reproductive health. This step involves in-depth data mining and trend prediction, providing a scientific basis for the formulation of prevention and control measures.

[0073] S5. Continuous optimization and improvement: Regularly review and evaluate the assessment methods, and continuously optimize and improve them according to actual needs and technological development;

[0074] The evaluation data of the evaluation method is not static, but needs to be continuously optimized and improved with actual needs and technological development. The evaluation method should be reviewed and evaluated regularly to promptly identify and correct existing problems and ensure the accuracy and reliability of the evaluation results.

[0075] S6. Countermeasure formulation: formulate targeted prevention and control countermeasures and measures based on the assessment results and early warning information;

[0076] Feedback the assessment results and countermeasures to relevant departments and the public to raise public awareness of the relationship between air pollution and women's reproductive health, and propose countermeasures to reduce the impact of air pollution on women's reproductive health based on the assessment results and warning information;

[0077] Based on the assessment results and early warning information, targeted prevention and control countermeasures and measures will be formulated. These countermeasures and measures may involve reducing air pollution emissions, improving environmental quality, improving women's reproductive health and other aspects, aiming to reduce the harm of air pollution to women's reproductive health.

[0078] The present invention provides a scientific and systematic assessment method, which can comprehensively and accurately assess the long-term impact of air pollution on female reproductive health. By establishing an early warning system, it can timely discover and respond to the potential threats of air pollution to female reproductive health, thereby protecting female reproductive health. The method of the present invention has the advantages of strong operability and a wide range of applications, and can be widely used in environmental management, public health and other fields.

[0079] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for evaluating the impact of air pollution on female reproductive health, characterized in that: The steps include: S1. Data collection: Collect air pollution data and female reproductive health data; S2. Data integration and processing: Integrate and process the collected air pollution data and female reproductive health data; S3. Establish an evaluation model: construct an evaluation model between air pollution and female reproductive health based on the integrated and processed data, and determine the evaluation model parameters; S4. Assessment: Use the assessment model to process air pollution data and analyze the impact and trend of air pollution on women’s reproductive health; S5. Continuous optimization and improvement: Regularly review and evaluate the assessment methods, and continuously optimize and improve them according to actual needs and technological development; S6. Countermeasure formulation: Develop targeted prevention and control countermeasures and measures based on the assessment results and early warning information.

2. The method for evaluating the impact of air pollution on female reproductive health according to claim 1, characterized in that: The S1 specifically includes: Use environmental monitoring equipment to continuously obtain data on the types, concentrations and distribution of pollutants in the atmosphere to collect air pollution data; Female reproductive health data are collected through medical records, health surveys, and reproductive health monitoring. Female reproductive health data include trace element content in the body, fertility, pregnancy outcomes, reproductive system diseases, etc.

3. The method for evaluating the impact of air pollution on female reproductive health according to claim 2, characterized in that: The S2 specifically includes: Integrate the collected air pollution data and female reproductive health data to establish a related database; Clean and preprocess the data in the relational database to ensure the accuracy and consistency of the data; Statistical methods were used to conduct correlation analysis between air pollution data and female reproductive health data.

4. The method for evaluating the impact of air pollution on female reproductive health according to claim 3, characterized in that: The cleaning and preprocessing of the data in the associated database includes missing value processing and outlier detection; wherein the missing value processing uses mean filling, median filling or multiple interpolation methods to process missing data, and the outlier detection uses box plots and Z-score methods to identify and process outliers.

5. The method for evaluating the impact of air pollution on female reproductive health according to claim 3, characterized in that: The statistical methods include regression analysis and correlation analysis.

6. The method for evaluating the impact of air pollution on female reproductive health according to claim 5, characterized in that: The regression analysis uses multiple linear regression to explore the multiple effects of air pollution indicators in air pollution data on female reproductive health indicators in female reproductive health data. The model form is: Y=β0+β1X1+β2X2+…+β k X k +e Among them, Y is the female reproductive health index, X1, X2, ..., X k are air pollution indicators, β0, β1, …, β k is the regression coefficient and ε is the error term.

7. The method for evaluating the impact of air pollution on female reproductive health according to claim 5, characterized in that: The correlation analysis uses the Spearman rank correlation coefficient to analyze the correlation between the air pollution index and the female reproductive health index. Specifically, the data of the variables (X, Y) in the two air pollution indicators are sorted, and the positions after sorting (X′, Y′) are recorded. The value of (X′, Y′) here is called the rank. Then, the difference in the rank is calculated, that is, d i =X′-Y′, then calculate d i The average value d mean =(Σd i ) / n, where n is the number of observations. Finally, the Spearman rank correlation coefficient r is calculated using the formula: Among them, the value range of r is [-1, 1], and the specific meaning is as follows: r=1 means that the two variables are completely positively correlated, r=-1 means that the two variables are completely negatively correlated, r=0 means that the two variables have no linear correlation, and the absolute value of r indicates the closeness of the linear correlation between the two variables. The strength of the correlation can be judged based on the absolute value of r.

8. The method for evaluating the impact of air pollution on female reproductive health according to claim 3, characterized in that: The S3 specifically includes: According to the data analysis results, an evaluation model between air pollution and female reproductive health was constructed based on epidemiological principles; Determine the evaluation indicators, including fertility rate, infertility incidence, miscarriage rate, and premature birth rate, as evaluation model parameters.

9. The method for evaluating the impact of air pollution on female reproductive health according to claim 1, characterized in that: The S4 also includes establishing an early warning system, setting early warning thresholds, and issuing early warning information in a timely manner according to the evaluation results; The workflow of the early warning system includes: Warning trigger: when one or more key risk indicators in air pollution data exceed the warning threshold, the system automatically triggers the warning; Information review to ensure the accuracy and timeliness of early warning information, and conduct manual review when necessary; Information release: timely release of early warning information to relevant parties through appropriate channels, including SMS, email, social media, and official websites; Information tracking: After issuing an early warning, continue to track the development of risks and update early warning information when necessary.

10. The method for evaluating the impact of air pollution on female reproductive health according to claim 1, characterized in that: The S6 also includes feeding back the assessment results and countermeasures to relevant departments and the public, raising public awareness of the relationship between air pollution and women's reproductive health, and proposing countermeasures to reduce the impact of air pollution on women's reproductive health based on the assessment results and warning information.

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