Intelligent prevention and control and early warning system for children infectious diseases

Abstract

The invention discloses an intelligent prevention and control and early warning system for children infectious diseases, and relates to the field of data analysis, and the main scheme is as follows: calculating a disease infection risk index # imgabs4 # according to an environmental risk index # imgabs0 #, a physiological risk comprehensive index # imgabs1 #, a disease transmission risk index # imgabs2 # and a comprehensive infection index # imgabs3 #; the children infection risk is judged according to the disease infection risk index # imgabs5 # and the infection risk threshold value, the problem that the physical conditions, living environments and behavioral habits of all children are different is solved, the development trend of infected diseases is judged by calculating the proportion of the number of diseased children, the development trend of the diseases in the whole children group can only be judged from the macroscopic level, and the development trend of the infected diseases in the whole children group is judged. And the method cannot go deep into an individual level and is difficult to meet individual differentiation prevention and control requirements.

Description

Technical Field

[0001] The present invention relates to the technical field of data analysis, and in particular to an intelligent prevention, control and early warning system for children's infectious diseases. Background Art

[0002] In medical institutions, comprehensive analysis of children through intelligent prevention and control and early warning systems can assess children's recent infection risks, detect potential signs of infection in advance, and provide timely preventive advice or targeted health care measures to reduce the probability of infectious diseases.

[0003] The traditional method of early warning by judging the risk of children contracting diseases is mainly to collect data on the number of sick children in the local area through medical institutions, disease control centers, etc., calculate the ratio of the number of sick children to the total number of local children, judge the development trend of the infectious disease, and thus conduct early warning and prevention and control.

[0004] The existing technology still has the following shortcomings: each child's physical condition, living environment and behavioral habits are different. Judging the development trend of infectious diseases by calculating the proportion of sick children can only judge the development trend of the disease in the entire child group from a macro level, and cannot go deep into the individual level, making it difficult to meet the differentiated prevention and control needs of individuals. Summary of the invention

[0005] 1. Technical issues to be resolved In view of the shortcomings of the existing technology, the present invention provides an intelligent prevention and control and early warning system for children's infectious diseases. , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators , according to the disease infection risk index Using the infection risk threshold to judge children's infection risk solves the problem that each child has different physical conditions, living environments, and behavioral habits. Judging the development trend of infectious diseases by calculating the proportion of sick children can only judge the development trend of the disease in the entire child group from a macro level, and cannot go deep into the individual level, making it difficult to meet the differentiated prevention and control needs of individuals.

[0006] (II) Technical solution To achieve the above objectives, the present invention is implemented through the following technical solutions: an intelligent prevention and control and early warning system for children's infectious diseases, comprising: Data collection module, used to collect children's school environment data, family data, air quality data, physiological data, social data, disease data, public health data, population data, medical intervention data, exercise data and diet data; Indicator calculation module, which can calculate school environmental risk indicators based on school environmental data , according to the school environment risk index , household data and air quality data to calculate environmental risk indicators ; Calculate physiological indicators based on physiological data , based on family data, social data and physiological indicators Calculation of comprehensive physiological risk index ; Calculate disease transmission risk indicators based on disease data, public health data, and population data ; Calculate medical infection risk indicators based on medical intervention data , calculate lifestyle indicators based on exercise data and diet data , according to the medical infection risk index and lifestyle indicators Calculating the comprehensive infection index ; According to environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators ; The judgment module is used to preset the infection risk threshold set; according to the disease infection risk index And infection risk thresholds are used to determine the infection risk of children; different prevention, control and early warning measures are selected based on the judgment results.

[0007] In the preferred scheme of the above-mentioned intelligent prevention and control and early warning system for children's infectious diseases: calculating the school environment risk index The method is: School environment data including the number of students in the child's class , Classroom area , Cleaning and disinfection frequency of public facilities , Indoor temperature value and indoor humidity ; Calculate school environmental risk indicators based on school environmental data , the formula based on is: .

[0008] In the preferred scheme of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating environmental risk indicators The method is: Household data include the number of people living in the household , Living area , Average indoor carbon dioxide concentration and the average outdoor carbon dioxide concentration ; Air quality data includes concentration and Safety concentration upper limit ; According to the school environment risk index , household data and air quality data to calculate environmental risk indicators , the formula based on is: .

[0009] In the preferred embodiment of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating physiological indicators The method is: Physiological data including initial body temperature value , time interval Post-body temperature , respiratory rate , heart rate , upper limit of normal range of respiratory rate and heart rate , respiratory rate-heart rate normal range lower limit , WBC count-lymphocyte ratio score and neutrophil-lymphocyte ratio score ; Calculate physiological indicators based on physiological data , the formula based on is: .

[0010] In the preferred embodiment of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating the comprehensive physiological risk index The method is: Family data also includes family medical history scores ; Social data including social venue environment scores and frequency of outings ; Scoring based on family history , social data and physiological indicators Calculation of physiological risk composite index , the formula based on is:

[0011] in, For the The environment rating of social places, is the serial number corresponding to different social places, and its value is ; It is the total number of social places the child has visited, and the value is a positive integer.

[0012] In the preferred embodiment of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating the disease transmission risk index The method is: Disease data include current season incidence The average annual incidence ; Public health data includes actual vaccination numbers in the region and number of people who should be vaccinated ; Population data includes the number of people who moved into the area this month. , Number of outflows and the total local population ; Calculate disease transmission risk indicators based on disease data, public health data, and population data , the formula based on is: .

[0013] In the preferred solution of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating the medical infection risk index The method is: Medical intervention data including antibiotic dosage , the upper limit of the normal range of antibiotic dosage , Number of invasive examinations and the number of invasive tests ; Calculating healthcare infection risk indicators based on medical intervention data , the formula based on is:

[0014] in, For the The dosage of antibiotics used, is the serial number corresponding to different types of antibiotics, and its value is ; is the total number of antibiotics used, which is a positive integer; is the weight coefficient of drug resistance index, ranging from 0.4 to 0.6; is the weight coefficient of the invasive examination risk index, ranging from 0.4 to 0.6; and .

[0015] In the preferred embodiment of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating the comprehensive infection index The method is: Movement data including movement frequency score and exercise intensity score ; Dietary data include dietary diversity scores per unit time , Dietary regularity score and dietary nutrition score ; Calculate lifestyle indicators based on exercise and diet data , the formula based on is:

[0016] in, For the The nutritional value score of the diet, is the serial number corresponding to different diet times, and its value is ; is the total number of diets, which is a positive integer; According to the medical infection risk index and lifestyle indicators Calculating the comprehensive infection index , the formula based on is:

[0017] in, Indicators of medical infection risk The weight coefficient is between 0.3 and 0.7; Lifestyle habit indicators The weight coefficient is between 0.3 and 0.7; and .

[0018] In the preferred embodiment of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: calculating the disease infection risk index The method is: According to environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators , the formula based on is: .

[0019] In the preferred embodiment of the above-mentioned intelligent prevention, control and early warning system for children's infectious diseases: the method for determining the risk of children's infection is: The infection risk threshold set includes the high infection risk threshold and low infection risk threshold ; According to the disease infection risk index The infection risk threshold is used to determine the infection risk of children based on the following criteria:

[0020] When children are at high risk of infection, choose prevention and control and early warning measure 1; When children are at medium risk of infection, choose prevention and control and early warning measure 2; When children are at low risk of infection, choose prevention, control and early warning measure three.

[0021] (III) Beneficial effects The present invention provides an intelligent prevention and control and early warning system for children's infectious diseases, which has the following beneficial effects: (1) By collecting children’s school environment data, family data, air quality data, physiological data, social data, disease data, public health data, population data, medical intervention data, exercise data, and dietary data, it is possible to provide multi-dimensional data for assessing children’s infection risk and improve the accuracy of the assessment.

[0022] (2) Calculate environmental risk indicators based on school environment data, family data and air quality data , which helps to identify the unique environmental risks faced by different individuals, assess environmental risks more comprehensively and systematically, and calculate comprehensive physiological risk indicators based on physiological data, family data, and social data , can comprehensively assess individual physiological risks from multiple perspectives, detect potential health problems in advance, and calculate disease transmission risk indicators based on disease data, public health data, and population data , can dynamically monitor the risk of disease transmission, help public health departments to rationally allocate resources, and calculate comprehensive infection indicators based on medical intervention data, exercise data, and dietary data , can assess the comprehensive infection risk of individuals from multiple perspectives, guide individuals to develop a healthy lifestyle in a more targeted manner, and , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators , which solves the problem that each child has different physical conditions, living environments and behavioral habits. Judging the development trend of infectious diseases by calculating the proportion of sick children can only judge the development trend of the disease in the entire child group from a macro level, and cannot go deep into the individual level, making it difficult to meet the differentiated prevention and control needs of individuals.

[0023] (3) Based on disease infection risk indicators By using the infection risk threshold to judge children's infection risk and selecting different prevention, control and early warning measures based on the judgment results, it can accurately judge the infection risk level of each child and take appropriate prevention and control measures based on the specific situation of each child, which is conducive to the rational allocation of medical resources and improve resource utilization. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a structural schematic diagram of an intelligent prevention, control and early warning system for children's infectious diseases according to the present invention. DETAILED DESCRIPTION

[0025] 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.

[0026] See also Figure 1 The present invention provides an intelligent prevention, control and early warning system for children's infectious diseases, comprising: The data collection module is used to collect children's school environment data, family data, air quality data, physiological data, social data, disease data, public health data, population data, medical intervention data, exercise data and dietary data.

[0027] In the above scheme, by collecting children's school environment data, family data, air quality data, physiological data, social data, disease data, public health data, population data, medical intervention data, exercise data and dietary data, it is possible to provide multi-dimensional data for assessing children's infection risk and improve the accuracy of the assessment.

[0028] Indicator calculation module, which can calculate school environmental risk indicators based on school environmental data , according to the school environment risk index , household data and air quality data to calculate environmental risk indicators ; Calculate physiological indicators based on physiological data , based on family data, social data and physiological indicators Calculation of comprehensive physiological risk index ; Calculate disease transmission risk indicators based on disease data, public health data, and population data ; Calculate medical infection risk indicators based on medical intervention data , calculate lifestyle indicators based on exercise data and diet data , according to the medical infection risk index and lifestyle indicators Calculating the comprehensive infection index ; According to environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators .

[0029] Specifically, the school environment risk index is calculated The method is: School environment data including the number of students in the child's class , Classroom area , Indoor temperature value and indoor humidity .

[0030] It should be noted that the number of students in the child’s class Refers to the total number of students in the child's class, reflecting the density of the class, and can be obtained by querying the school's student management system or class roll call. Obtained by consulting the school building drawings, the school building drawings will standardize the specific dimensions of the classroom, and the classroom area can be calculated by multiplying the length by the width. Indoor temperature value Use an indoor thermometer to measure and obtain. Lower temperatures may reduce students' immunity, while suitable temperatures will inhibit the growth of microorganisms. Indoor humidity value Using a hygrometer to measure, it is found that excessively high or low humidity is conducive to the growth and spread of certain microorganisms, and can also affect the function of the human respiratory mucosa.

[0031] Calculate school environmental risk indicators based on school environmental data , the formula based on is:

[0032] It should be noted that this formula obtains the school environmental risk index by comprehensively considering the impact of classroom population density, temperature and humidity on human functions and microbial growth and transmission. The higher the population density, the greater the deviation of the actual temperature and humidity from the reference temperature and humidity, and the higher the school environment risk index. The higher.

[0033] Specifically, the environmental risk index is calculated The method is: Household data include the number of people living in the household , Living area , Average indoor carbon dioxide concentration and the average outdoor carbon dioxide concentration .

[0034] It should be noted that the number of people living in the family It refers to the number of people who live in a family's living space for a long time. It is of great significance for assessing the degree of crowding within the family, resource allocation, and the risk of infectious disease transmission. It can be determined by asking family members or checking the number of people registered in the family's household register. It refers to the total area of ​​a family's living space, including the sum of the areas of bedrooms, living rooms, kitchens, bathrooms, etc. It is used to measure the degree of crowding in the living space. It can be obtained by checking the property ownership certificate or the purchase contract. The property ownership certificate or the purchase contract will indicate the actual area of ​​the house. Average indoor carbon dioxide concentration It indicates the average concentration of carbon dioxide gas in the home indoor environment over a period of time, reflecting the indoor air quality and ventilation conditions. The method of obtaining it is: use a carbon dioxide concentration detector to measure and record data in different rooms and locations of the home at different times, accumulate all the data and divide it by the number of measurements to obtain the average indoor carbon dioxide concentration. Average outdoor carbon dioxide concentration It refers to the average concentration of carbon dioxide gas in the outdoor environment around a home over a period of time. The method of obtaining it is as follows: the meteorological monitoring station or environmental monitoring agency will provide local outdoor carbon dioxide concentration monitoring data, and the average value of carbon dioxide concentration in the area can be queried through the official website or related applications as the average outdoor carbon dioxide concentration. .

[0035] Air quality data includes concentration and Safety concentration upper limit .

[0036] It should be noted that the air concentration Refers to the amount of air contained in a unit volume The mass of the particulate matter in , query the specific data of the area through meteorological websites such as China Weather Network and China Meteorological Network, and obtain the specific data of the air concentration . Safety concentration upper limit In the air, when When the concentration is lower than this value, the adverse effects on human health and the environment are relatively small and within the acceptable risk range. This can be obtained by consulting the relevant standard documents issued by the national environmental protection department. For example, China's "Ambient Air Quality Standards" stipulates that The secondary standard for the annual average concentration of , the secondary standard of 24-hour average concentration is Among them, the secondary standard refers to the air quality standard applicable to residential areas, commercial, transportation and residential mixed areas, cultural areas, general industrial areas and rural areas determined in urban planning.

[0037] According to the school environment risk index , household data and air quality data to calculate environmental risk indicators , the formula based on is:

[0038] It should be noted that the operating principle of this formula is: By calculating the per capita living area and indoor air quality, we can get the home environment index. The ratio of concentration to the upper limit of safety , we get the air quality index, and then we get the environmental risk index by comprehensively considering the impact of school environment, family environment and air quality. .

[0039] Specifically, physiological indicators are calculated The method is: Physiological data including initial body temperature value , time interval Post-body temperature , respiratory rate , heart rate , upper limit of normal range of respiratory rate and heart rate , respiratory rate-heart rate normal range lower limit , WBC count-lymphocyte ratio score and neutrophil-lymphocyte ratio score .

[0040] It should be noted that the initial body temperature value Refers to the body temperature measured at the beginning of observing or recording the individual's physiological state, the time interval Post-body temperature refers to the time interval The body temperature is measured again and obtained by a mercury thermometer, electronic thermometer or infrared thermometer.

[0041] Respiratory rate It refers to the number of breaths per minute and is an important indicator of the respiratory system function. It is measured using respiratory monitoring equipment such as a respiratory monitor. It refers to the number of heart beats per minute. It is an important indicator of cardiovascular system function. It is measured using heart rate monitoring equipment such as the touch pulse method or an electronic heart rate meter. and respiratory rate-heart rate normal range lower limit It is used to measure whether the relative relationship between respiratory rate and heart rate is within the normal range. The acquisition method is: collect respiratory rate and heart rate data of healthy children of different ages and genders, calculate the ratio of respiratory rate to heart rate, screen out the higher 50% data and calculate its average value as the upper limit of the normal range of respiratory rate-heart rate , filter out the lower 50% of the data and calculate their average value as the lower limit of the normal range of respiratory rate and heart rate reference range.

[0042] White blood cell count-lymphocyte ratio score It is an indicator obtained by calculating the ratio of white blood cell count to lymphocyte count, which reflects the functional status of the immune system. The specific scoring criteria are: when the white blood cell count-lymphocyte ratio is less than or equal to 3, the white blood cell count-lymphocyte ratio score is 1 point. When the white blood cell count-lymphocyte ratio is between 3 and 5, the white blood cell count-lymphocyte ratio score is 3 points. When the white blood cell count-lymphocyte ratio is greater than or equal to 5, the white blood cell count-lymphocyte ratio score is is 5 points.

[0043] Neutrophil-lymphocyte ratio score It is the ratio of neutrophil count to lymphocyte count, which reflects the severity of inflammatory response and bacterial infection. The specific scoring criteria are: when the neutrophil-lymphocyte ratio is less than or equal to 1, the neutrophil-lymphocyte ratio score is 1 point. When the neutrophil-lymphocyte ratio is between 1 and 3, the neutrophil-lymphocyte ratio score is When the neutrophil-lymphocyte ratio is greater than or equal to 3, the neutrophil-lymphocyte ratio score is is 5 points.

[0044] Calculate physiological indicators based on physiological data , the formula based on is:

[0045] It should be noted that the operating principle of this formula is: is the rate of change of body temperature, is the respiratory rate-heart rate index, Score the WBC count-lymphocyte ratio and neutrophil-lymphocyte ratio score The formula comprehensively considers the influence of the above three aspects to obtain the average value of physiological indicators. ,in, is the base of the natural logarithm in the exponential function.

[0046] Specifically, the physiological risk composite index is calculated The method is: Family data also includes family medical history scores .

[0047] It should be noted that family history scoring It is used to quantify the impact of family genetic factors on children's immune system. The method of obtaining the score is as follows: the number of family members of the child who suffer from immunodeficiency diseases such as severe combined immunodeficiency disease and chronic granulomatous disease is obtained. Each person is scored one point, and the family history score is obtained after summing up. .

[0048] Social data including social venue environment scores and frequency of outings .

[0049] It should be noted that the social environment score It is used to measure the density of people in social places. The denser the people, the higher the probability of exposure to pathogens. The determination method is: when the per capita space in the social place is greater than 10 square meters, such as a large, open exhibition hall, the social place environment score 1 point. When the per capita space of a social place is 5 to 10 square meters, such as a dessert shop or a cafe, the social place environment score is 3 points. When the per capita space of a social venue is less than 5 square meters, such as concerts, night markets, etc., the social venue environment score is 5 points. Frequency of outings It is an indicator used to measure the frequency of an individual leaving a relatively closed environment such as home to participate in social, entertainment and other activities outdoors or in other external places. It can reflect the individual's opportunities to contact the external environment and people, thereby assessing the possibility of risk of infection. The method of obtaining the score is: ask the individual the number of times he or she went out in the past month. If the number is less than 4 times, the frequency score of going out is 1 point, when the number is between 5 and 10 times, the frequency score of outdoor activities is 3 points, when the number is greater than 10 times, the frequency score of outdoor activities is 5 points.

[0050] Scoring based on family history , social data and physiological indicators Calculation of physiological risk composite index , the formula based on is:

[0051] in, For the The environment rating of social places, is the serial number corresponding to different social places, and its value is ; It is the total number of social places the child has visited, and the value is a positive integer.

[0052] It should be noted that the operating principle of this formula is: Used to measure the impact of family medical history on physiological indicators, It is used to measure the impact of social data on physiological indicators. This formula comprehensively considers the impact of the above two aspects and uses The function is normalized to obtain the comprehensive index of physiological risk .

[0053] Specifically, the disease transmission risk index is calculated The method is: Disease data include current season incidence and the average annual incidence .

[0054] It should be noted that the incidence rate in the current season It refers to the ratio of the number of new cases of a disease in a certain area or a specific population in a specific season to the number of exposed population in that season. It reflects the frequency of disease occurrence in the current season and whether there is a seasonal pattern of disease occurrence. The number of exposed population refers to the number of people who may be exposed to the cause or risk factors of the disease during the observation period. The incidence rate in the current season The method of obtaining the incidence rate is as follows: first, clarify the specific time range of the season of concern. For example, in the northern hemisphere, spring is from March to May, summer is from June to August, autumn is from September to November, and winter is from December to February. The number of newly diagnosed cases in the region in that season is collected through the medical record systems of medical institutions such as hospitals and clinics. The total population of the region is obtained by querying the census data and used as the exposed population. The ratio of the number of newly diagnosed cases in that season to the number of exposed population is calculated as the incidence rate of the current season. The average annual incidence rate It refers to the ratio of the average number of new cases of a disease in a certain area or a specific population within a year to the annual average number of exposed population in the area. It reflects the overall incidence level of the disease over a long period of time. It is obtained by collecting all the newly diagnosed cases in the area throughout the year through reports from medical institutions and disease monitoring systems, obtaining the population of the area at the beginning and end of last year and calculating their average value as the annual average exposed population, and calculating the ratio of all the newly diagnosed cases in the year to the annual average exposed population as the annual average incidence rate. .

[0055] Public health data includes actual vaccination numbers in the region and number of people who should be vaccinated .

[0056] It should be noted that the actual number of people vaccinated in the area It refers to the number of people who have actually received a certain vaccination in a specific area. The method of obtaining it is as follows: each vaccination site has detailed vaccination records, including the personal information of the vaccine recipients, the type of vaccine, the vaccination time, etc. By summarizing the records of these vaccination sites, the actual number of people vaccinated in the area can be obtained. Number of people who should be vaccinated It refers to the number of people who should be vaccinated with a certain vaccine in a specific area and at a specific time according to relevant regulations, standards or immunization program procedures. The method of obtaining it is as follows: each vaccine has a specific vaccination procedure and applicable population. According to the national or local immunization program requirements, the population in the area that meets the requirements for vaccination of infectious diseases such as diphtheria, pertussis and tetanus vaccines and influenza vaccines is screened according to the vaccination regulations of different age groups and different doses, and the total number of people included in the population is counted as the number of people who should be vaccinated. .

[0057] Population data includes the number of people who moved into the area this month. , Number of outflows and the total local population .

[0058] It should be noted that the number of people entering the area this month is It refers to the number of people who came to this area from other areas within this month. By consulting the population registration information system, the number of non-local registered residents who applied for residence permits, temporary residence permits or household registration transfer procedures in this month is counted. At the same time, the number of people entering the area through various modes of transportation is obtained by consulting the arrival passenger flow data of the transportation department. The two numbers are added together to obtain the number of inflows to the area this month. , the number of outflows It refers to the number of registered residents in this area who leave the area to live or stay in other areas within this month. The method of obtaining it is: check the household registration management department of the public security department based on the household registration transfer records and the relevant certificates for going out to work, study, etc., and count the number of registered residents who have left the area within this month. At the same time, by checking the departure passenger flow data of the transportation department, the number of people who left the area by various modes of transportation is obtained. The two numbers are added together as the number of outflows. , the total local population It refers to the total number of all people living in the area, including permanent residents with household registration in the area and non-registered residents who live in the area for a long or short period of time. It is obtained by consulting the household registration system.

[0059] Calculate disease transmission risk indicators based on disease data, public health data, and population data , the formula based on is:

[0060] It should be noted that the operating principle of this formula is: It is used to measure the incidence rate of the current season. To measure vaccination coverage, It is used to measure the turnover rate of personnel. By comprehensively considering the influence of the above three aspects, the disease transmission risk index is obtained. , the higher the incidence rate in the current season, the lower the vaccination rate, the higher the turnover rate of people, the higher the disease transmission risk indicators The higher.

[0061] Specifically, the medical infection risk index is calculated The method is: Medical intervention data including antibiotic dosage , the upper limit of the normal range of antibiotic dosage , Number of invasive examinations and the number of invasive tests .

[0062] It should be noted that the dosage of antibiotics It refers to the amount of antibiotics such as amoxicillin and cephalosporin used by the patient during the treatment process. The method of obtaining it is: check the hospital's electronic medical record system or paper medical records. In the medical records, the doctor will record the name, dosage form, single dose and daily usage of the antibiotics prescribed for the patient each time, and calculate the product of the single dose of each antibiotic and the daily usage as the antibiotic dosage The upper limit of the normal range of antibiotic dosage It refers to a dosage limit set to ensure the therapeutic effect while avoiding adverse reactions such as drug poisoning and drug-resistant bacteria caused by excessive use of antibiotics. It is determined by consulting the drug instructions. It refers to the total number of invasive examinations a patient receives within a certain period of time, such as during hospitalization, one month, or one year. Invasive examinations refer to those examination methods that require inserting needles, catheters, or other instruments into the human body cavity or penetrating the human body surface to obtain diagnostic information. The method of obtaining the information is as follows: In the hospital's electronic medical record system or examination registration system, you can query the various examination records that the patient has received, and by screening out the invasive examination items and counting their occurrence times, you can get the number of invasive examinations. Number of invasive tests It refers to the number of different types of invasive examinations that a patient receives within a certain period of time. The number of invasive examinations is obtained by first listing all invasive examinations that the patient receives through the hospital's electronic medical record system, examination registration system, or records of various examination departments, then removing duplicate examination types and counting the number of different examination types that remain as the number of invasive examination types. .

[0063] Calculating healthcare infection risk indicators based on medical intervention data , the formula based on is:

[0064] in, For the The dosage of antibiotics used, is the serial number corresponding to different types of antibiotics, and its value is ; is the total number of antibiotics used, which is a positive integer; is the weight coefficient of the drug resistance index, ranging from 0.4 to 0.6. Determine the extent of impact; is the weight coefficient of the invasive examination risk index, ranging from 0.4 to 0.6. The extent of the impact is determined; and .

[0065] It should be noted that this formula uses a weighted method to comprehensively consider the impact of drug resistance indicators and invasive examination risk indicators to obtain the medical infection risk index .

[0066] Specifically, the comprehensive infection index is calculated The method is: Movement data including movement frequency score and exercise intensity score .

[0067] It should be noted that the exercise frequency score It is a quantitative assessment of the frequency of an individual's exercise activities within a certain period of time, reflecting the individual's exercise habits and physical activity level. The determination method is: the number of times a child exercises in a week is counted and obtained through a questionnaire. If the number is less than 2 times, the exercise frequency score is 1 point, when the number is between 2 and 4 times, the exercise frequency score 3 points, when the number is greater than 4 times, the exercise frequency score The score is 5. Exercise intensity score It is a quantitative assessment of the duration of exercise and the degree of physical stimulation of exercise. The determination method is: obtain the number of exercises of the child in a week and the duration of each exercise, calculate the sum of the duration of each exercise and divide it by the number of exercises to obtain the exercise intensity. When the exercise intensity is less than 20 minutes / time, the exercise intensity score is 1 point, when the exercise intensity is between 20 minutes / time and 40 minutes / time, the exercise intensity score is 3 points. When the exercise intensity is greater than 40 minutes / time, the exercise intensity score is is 5 points.

[0068] Dietary data include dietary diversity scores per unit time , Dietary regularity score and dietary nutrition score .

[0069] It should be noted that the dietary diversity score per unit time It is a quantitative assessment of the richness of food intake by an individual in a specific period of time, such as a day or a week. The method of obtaining it is as follows: obtain the number of food types consumed by the child every day in a week, count the number of days when the number of food types consumed exceeds 5, and when the number of days is less than 2 days, the dietary diversity score per unit time is 1 point, when the number of days is between 2 and 5, the dietary diversity score per unit time is 3 points. If the number of days exceeds 5, the dietary diversity score per unit time is 5 points. Dietary regularity score It is used to measure whether an individual's eating time is regular. The method of obtaining it is as follows: record the eating time of the child's three meals a day for a week, determine whether each meal time is within the standard time range, and count the number of times each meal time is within the standard time range. When the number is less than 9, the eating regularity score is 1 point, when the number is between 9 and 15, the dietary regularity score 3 points, and when the number is greater than 15, the dietary regularity score 5 points, where the standard time range is: breakfast time is between 7 and 9 o'clock, lunch time is between 12 and 14 o'clock, and dinner time is between 18 and 20 o'clock. It is used to measure whether the nutrients provided by an individual's diet meet health needs. The method of obtaining the information is as follows: enter the child's dietary information for each meal in a week into professional nutrition analysis software such as Xiangshan Nutrition and Mint Health. The software will automatically analyze the nutritional components of the diet and compare it with the corresponding nutritional standards to generate a nutritional score, which will be used as the nutritional score of the diet. .

[0070] Calculate lifestyle indicators based on exercise and diet data , the formula based on is:

[0071] in, For the The nutritional value score of the diet, is the serial number corresponding to different diet times, and its value is ; is the total number of meals, which is a positive integer.

[0072] It should be noted that the operating principle of this formula is: Used to measure children's exercise habits. Used to measure children's eating habits, by taking into account two factors, to obtain a lifestyle index .

[0073] According to the medical infection risk index and lifestyle indicators Calculating the comprehensive infection index , the formula based on is:

[0074] in, Indicators of medical infection risk The weight coefficient is 0.3 to 0.7, based on the medical infection risk index. Comprehensive infection index Determine the extent of impact; Lifestyle habit indicators The weight coefficient is 0.3 to 0.7, based on the living habit index. Comprehensive infection index The extent of the impact is determined; and .

[0075] It should be noted that the operating principle of this formula is: the formula comprehensively considers the medical infection risk indicators and lifestyle indicators The impact of Healthcare infection risk indicators The higher the lifestyle index The lower the risk, the greater the risk of infection. The higher.

[0076] Specifically, the disease infection risk index is calculated The method is: According to environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators , the formula based on is:

[0077] It should be noted that this formula takes into account environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators The impact of disease infection risk index .

[0078] In the above scheme, environmental risk indicators are calculated based on school environment data, family data and air quality data. , which helps to identify the unique environmental risks faced by different individuals, assess environmental risks more comprehensively and systematically, and calculate comprehensive physiological risk indicators based on physiological data, family data, and social data , can comprehensively assess individual physiological risks from multiple perspectives, detect potential health problems in advance, and calculate disease transmission risk indicators based on disease data, public health data, and population data , can dynamically monitor the risk of disease transmission, help public health departments to rationally allocate resources, and calculate comprehensive infection indicators based on medical intervention data, exercise data, and dietary data , can assess the comprehensive infection risk of individuals from multiple perspectives, guide individuals to develop a healthy lifestyle in a more targeted manner, and , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators , which solves the problem that each child has different physical conditions, living environments and behavioral habits. Judging the development trend of infectious diseases by calculating the proportion of sick children can only judge the development trend of the disease in the entire child group from a macro level, and cannot go deep into the individual level, making it difficult to meet the differentiated prevention and control needs of individuals.

[0079] The judgment module is used to preset the infection risk threshold set; according to the disease infection risk index And infection risk thresholds are used to determine the infection risk of children; different prevention, control and early warning measures are selected based on the judgment results.

[0080] Specifically, the method for determining the risk of infection in children is: The infection risk threshold set includes the high infection risk threshold and low infection risk threshold .

[0081] It should be noted that the high infection risk threshold and low infection risk threshold The method for determining the high infection risk threshold is to collect data on healthy children of different ages and genders, calculate the disease infection risk index according to the above method, screen out the higher 20% data and calculate their average value, which is used as the high infection risk threshold The reference value is used to screen out the lower 20% of data and calculate their average value as the low infection risk threshold reference value.

[0082] According to the disease infection risk index The infection risk threshold is used to determine the infection risk of children based on the following criteria:

[0083] When children are at high risk of infection, choose prevention and control and early warning measure 1, which is: communicate with the child's parents or guardians through mobile phone text messages or phone calls, inform the child of the risk of infection, and provide specific prevention and control suggestions, such as: conduct targeted examinations for the types of diseases that children may be infected with, and pay close attention to the child's physical condition, focusing on observing whether common infection symptoms such as fever, cough, runny nose, abdominal pain, diarrhea, etc. appear. When the above symptoms appear, record the time, frequency, severity of the symptoms, and contact a doctor in time. Communicate with schools or kindergartens to provide protective measures for children at high risk of infection, reduce contact with other children, and increase the number of cleaning and disinfection.

[0084] When children are at medium risk of infection, the second prevention and control and early warning measure is selected, which is: communicate with the child's parents or guardians through mobile phone text messages or phone calls, inform the child of the risk of infection, and provide specific prevention and control suggestions, such as: emphasize the diversity and balance of diet, ensure that children consume enough protein, carbohydrates, fats, vitamins and minerals, urge children to wash their hands frequently and clean their rooms regularly. Communicate with schools or kindergartens to reduce the number of group activities and increase ventilation times.

[0085] When children are at low risk of infection, the third prevention and control and early warning measure is selected, which is: provide prevention and control early warning suggestions to the children's parents or guardians through mobile phone text messages or phone calls, such as: conduct physical examinations according to the normal child health care plan, ensure that children complete vaccinations according to the national immunization program, and cultivate and consolidate children's good eating habits, such as eating on time, eating independently, not being picky about food, not overeating, etc. Avoid going to crowded places, and observe the daily state of children. If children are found to be listless, have poor appetite, or have abnormal body temperature, they should seek medical attention in time.

[0086] In the above scheme, according to the disease infection risk index By using the infection risk threshold to judge children's infection risk and selecting different prevention, control and early warning measures based on the judgment results, it can accurately judge the infection risk level of each child and take appropriate prevention and control measures based on the specific situation of each child, which is conducive to the rational allocation of medical resources and improve resource utilization.

[0087] The above embodiments may be implemented in whole or in part by software, hardware, firmware or any other combination thereof. When implemented using software, the above embodiments may be implemented in whole or in part in the form of a computer program product. A person of ordinary skill in the art may appreciate that the units and algorithm steps of each example described in conjunction with the embodiments disclosed herein may be implemented in electronic hardware or in combination with computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution.

[0088] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0089] The above description is only a specific implementation manner of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application.

Claims

1. An intelligent prevention, control and early warning system for children's infectious diseases, characterized by: include: Data collection module, used to collect children's school environment data, family data, air quality data, physiological data, social data, disease data, public health data, population data, medical intervention data, exercise data and diet data; Indicator calculation module, which can calculate school environmental risk indicators based on school environmental data , according to the school environment risk index , household data and air quality data to calculate environmental risk indicators ; Calculate physiological indicators based on physiological data , based on family data, social data and physiological indicators Calculation of comprehensive physiological risk index ; Calculate disease transmission risk indicators based on disease data, public health data, and population data ; Calculating medical infection risk indicators based on medical intervention data , calculate lifestyle indicators based on exercise data and diet data , according to the medical infection risk index and lifestyle indicators Calculating the comprehensive infection index ; According to environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators ; The judgment module is used to preset the infection risk threshold set; according to the disease infection risk index And infection risk thresholds are used to determine the infection risk of children; different prevention, control and early warning measures are selected based on the judgment results.

2. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 1, characterized in that: Calculating school environment risk indicators The method is: School environment data including the number of students in the child's class , Classroom area , Cleaning and disinfection frequency of public facilities , Indoor temperature value and indoor humidity ; Calculate school environmental risk indicators based on school environmental data , the formula based on is: 。 3. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 2, characterized in that: Calculating environmental risk indicators The method is: Household data include the number of people living in the household , Living area , Average indoor carbon dioxide concentration and the average outdoor carbon dioxide concentration ; Air quality data includes concentration and Safety concentration upper limit ; According to the school environment risk index , household data and air quality data to calculate environmental risk indicators , the formula based on is: 。 4. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 3, characterized in that: Calculation of physiological indicators The method is: Physiological data including initial body temperature value , time interval Post-body temperature , respiratory rate , heart rate , upper limit of normal range of respiratory rate and heart rate , respiratory rate-heart rate normal range lower limit , WBC count-lymphocyte ratio score and neutrophil-lymphocyte ratio score ; Calculate physiological indicators based on physiological data , the formula based on is: 。 5. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 4, characterized in that: Calculation of comprehensive physiological risk index The method is: Family data also includes family medical history scores ; Social data including social venue environment scores and frequency of outings ; Scoring based on family history , social data and physiological indicators Calculation of comprehensive physiological risk index , the formula based on is: ； in, For the The environment rating of social places, is the serial number corresponding to different social places, and its value is ; It is the total number of social places the child has visited, and the value is a positive integer.

6. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 5, characterized in that: Calculating disease transmission risk indicators The method is: Disease data include current season incidence and the average annual incidence ; Public health data includes actual vaccination numbers in the region and number of people who should be vaccinated ; Population data includes the number of people who moved into the area this month. , Number of outflows and the total local population ; Calculate disease transmission risk indicators based on disease data, public health data, and population data , the formula based on is: 。 7. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 6, characterized in that: Calculating healthcare infection risk indicators The method is: Medical intervention data including antibiotic dosage , the upper limit of the normal range of antibiotic dosage , Number of invasive examinations and the number of invasive tests ; Calculating healthcare infection risk indicators based on medical intervention data , the formula based on is: ； in, For the The dosage of antibiotics used, is the serial number corresponding to different types of antibiotics, and its value is ; is the total number of antibiotics used, which is a positive integer; is the weight coefficient of drug resistance index, ranging from 0.4 to 0.6; is the weight coefficient of the invasive examination risk index, ranging from 0.4 to 0.6; and .

8. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 7, characterized in that: Calculating the comprehensive infection index The method is: Movement data including movement frequency score and exercise intensity score ; Dietary data include dietary diversity scores per unit time , Dietary regularity score and dietary nutrition score ; Calculate lifestyle indicators based on exercise and diet data , the formula based on is: ； in, For the The nutritional value score of the diet, is the serial number corresponding to different diet times, and its value is ; is the total number of diets, which is a positive integer; According to the medical infection risk index and lifestyle indicators Calculating the comprehensive infection index , the formula based on is: ； in, Indicators of medical infection risk The weight coefficient is between 0.3 and 0.7; Lifestyle habit indicators The weight coefficient is between 0.3 and 0.7; and .

9. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 8, characterized in that: Calculate disease infection risk indicators The method is: According to environmental risk indicators , Comprehensive indicators of physiological risk , Disease transmission risk indicators and comprehensive infection indicators Calculate disease infection risk indicators , the formula based on is: 。 10. The intelligent prevention, control and early warning system for children's infectious diseases according to claim 9, characterized in that: The methods for determining the risk of infection in children are: The infection risk threshold set includes the high infection risk threshold and low infection risk threshold ; According to the disease infection risk index The infection risk threshold is used to determine the infection risk of children based on the following criteria: ； When children are at high risk of infection, choose prevention and control and early warning measure 1; When children are at medium risk of infection, choose prevention and control and early warning measure 2; When children are at low risk of infection, choose prevention, control and early warning measure three.

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