CN112365994A - Infectious disease data monitoring processing method, system and storage medium - Google Patents
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Abstract
The invention discloses an infectious disease data monitoring and processing method, a system and a storage medium, wherein a group monitoring set is constructed by acquiring data information of infectious diseases, including infectious capacity indexes reflecting infectious disease transmission capacity, historical outbreak times and historical data of individual illness time in each outbreak period; the construction method comprises the following steps: calculating personal safety indexes of individuals based on the acquired data information, sequencing the personal safety indexes from low to high, and sequentially selecting, wherein each monitoring set comprises N individuals, and M monitoring sets are used as group monitoring sets; when the proportion of the population infecting the infectious diseases in any monitoring set is detected to exceed a set early warning value, outputting early warning to the infectious diseases. According to the method, the system and the storage medium provided by the invention, through analyzing the historical data, the early monitoring and early warning can be carried out on the infectious diseases without extra money or manpower, and the method, the system and the storage medium have high sensitivity on the outbreak of the infectious diseases, so that the convenience is provided for preventing and treating the infectious diseases.
Description
Technical Field
The invention relates to data analysis in the technical field of medical treatment, in particular to an infectious disease data monitoring and processing method, system and storage medium.
Background
At present, the monitoring and processing of infectious disease data are more and more important, and the early warning of outbreak infectious diseases is more important. In the prior art, the traditional infectious disease monitoring method includes a mostconnected strategy (i.e., selecting an individual with the highest interaction degree in a network as a monitoring set for monitoring) and a randomacquantance strategy (i.e., selecting random contact of random individuals as a monitoring set for monitoring), and both methods monitor susceptible people in a social network, so as to early warn outbreak of infectious diseases in advance. However, both of the two methods require a lot of money and manpower to monitor the social network of the crowd so as to complete the early warning of outbreak of infectious diseases, and the cost is high, which is not favorable for expanding application.
Therefore, the prior art is subject to further improvement.
Disclosure of Invention
In view of the above disadvantages in the prior art, the present invention provides a method, a system and a storage medium for monitoring and processing infectious disease data for users, which overcomes the defects in the prior art that monitoring infectious diseases depends on a large amount of money and manpower investment, and the cost is high, which is not favorable for expanding applications.
The invention discloses an infectious disease data monitoring and processing method, which comprises the following steps:
acquiring data information of infectious diseases; the data information includes: an infectious capacity index representing the infectious disease transmission capacity, historical outbreak times of the infectious disease and historical data of individual illness time in each outbreak period of the infectious disease;
constructing a group monitoring set; the construction method of the group monitoring set comprises the following steps: calculating individual safety indexes of individuals based on the infection capacity index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing all the individuals from low to high, sequentially selecting, wherein each monitoring set comprises N individuals, and constructing M monitoring sets as group monitoring sets;
and when the proportion of the population infected with the infectious diseases in any monitoring set is detected to exceed a set pre-alarm value, outputting the early pre-alarm of the infectious diseases.
Optionally, the step of calculating the individual safety index of the individual based on the infection ability index, the historical outbreak number and the historical data of the individual suffering time in each outbreak period comprises:
the personal safety index is calculated according to the following formula:
wherein the content of the first and second substances,
as the personal safety index, R0(ηj) Eta, as an index of the ability of said infectious disease to convey the ability of said infectious diseasejThe actual number of episodes in the historical number of outbreaks for individual j,
time measurement for individual exposure time during infectious disease outbreakAnd (4) indexes.
Optionally, the infectivity index R0(ηj) The time measurement index is a basic infection count
Indicating the time in the history of the ith infection outbreak at which individual j was first infected.
Optionally, R0(ηj) Calculated by the following formula:
wherein β is the rate of transmission of the infectious disease and γ is the rate of recovery/death of the infectious disease.
Optionally, in the method, the safety index vector for the monitoring set with the number of people N is represented as follows:
wherein N represents the dimensionality of the safety index vector and also represents the number of people in the monitoring set.
Optionally, the data information of the infectious disease comprises data information of all diseases having the same or similar transmission mechanism as the infectious disease; the number M of the monitoring sets and the number N of people in each monitoring set are natural numbers which are larger than 2.
The invention also discloses an infectious disease data monitoring and processing system, which comprises:
the data collection module is used for acquiring data information of infectious diseases; the data information includes: an infectious disease ability index representing the infectious disease transmission ability, historical outbreak times of the infectious disease and historical data of individual illness time in each outbreak period of the infectious disease;
the monitoring set construction module is used for constructing a group monitoring set; the group monitoring set construction method comprises the following steps: calculating individual safety indexes of individuals based on the infection capacity index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing all the individuals from low to high, sequentially selecting, wherein each monitoring set comprises N individuals, and constructing M monitoring sets as group monitoring sets; n and M are both natural numbers larger than 2;
and the early warning module is used for outputting the early warning of the infectious disease when detecting that the population proportion of any monitoring set infected with the infectious disease exceeds a set early warning value.
Optionally, the monitoring set constructing module includes:
the personal safety index construction unit is used for calculating the personal safety index of the individual according to the infection ability index, the historical outbreak times and the historical data of the individual suffering time in each outbreak period:
wherein the content of the first and second substances,
as the personal safety index, R0(ηj) Eta, as an index of the ability of said infectious disease to convey the ability of said infectious diseasejThe actual number of episodes in the historical number of outbreaks for individual j,
and (3) a time measurement index for the individual suffering time in the infectious disease outbreak period.
Optionally, the monitoring set constructing module includes:
an infectious disease ability index construction unit for calculating an infectious disease ability index representing the infectious disease transmission ability:
wherein R is0(ηj) Beta is the transmission rate of the infectious disease and gamma is the recovery/death rate of the infectious disease, which is the basic infection number, i.e., infectious power index.
Optionally, the monitoring set constructing module further includes:
the personal safety index sequencing unit is used for constructing a safety index vector aiming at a monitoring set with N people, and sequencing personal safety indexes in the safety index vector from low to high, wherein the safety index vector is expressed as follows:
wherein N represents the dimensionality of the safety index vector and also represents the number of people in the monitored set.
The invention also discloses a storage medium, wherein the storage medium stores an infectious disease data monitoring processing program, and the infectious disease data monitoring processing program is run by a processor to realize the infectious disease data monitoring processing method.
The invention has the advantages that the invention discloses a method, a system and a storage medium for monitoring and processing infectious disease data, which can monitor and process infectious disease data by acquiring the data information of infectious diseases; the data information includes: the infectious disease infection capacity index, the historical outbreak times of the infectious disease and the historical data of the individual suffering time in each outbreak period of the infectious disease; constructing a group monitoring set; the method for constructing the group monitoring set comprises the following steps: calculating individual safety indexes of individuals based on the infection capacity index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing all the individuals from low to high, sequentially selecting, wherein each monitoring set comprises N individuals, and constructing M monitoring sets as group monitoring sets; and when the proportion of the population infecting the infectious diseases in any monitoring set is detected to exceed a set early warning value, outputting the early warning of the infectious diseases. According to the method, the system and the storage medium provided by the invention, through analyzing the historical data in the electronic medical file, the early monitoring and early warning can be carried out on the infectious diseases without investing extra money or manpower, and the method, the system and the storage medium have high sensitivity on the outbreak of the infectious diseases and provide convenience for preventing and treating the infectious diseases.
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FIG. 1 is a flowchart illustrating steps of a method for monitoring infectious disease data according to the present invention;
FIG. 2 is a schematic diagram illustrating the sequence of personal safety indexes in the disclosed infectious disease data monitoring and processing method;
FIG. 3 is a comparison chart of the early warning effect of the infectious disease data monitoring and processing method disclosed by the invention on infectious diseases;
FIG. 4 is a schematic block diagram of the disclosed infectious disease data monitoring and processing system.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
A first embodiment of the present disclosure is an infectious disease data monitoring and processing method, as shown in fig. 1, including:
step S1, acquiring data information of infectious diseases; the data information includes: the infectious disease transmission capacity index is embodied, and the historical outbreak times of the infectious disease and the historical data of the individual suffering time in each outbreak period of the infectious disease are recorded.
And acquiring data information of the corresponding infectious disease based on the electronic medical file, or acquiring data information of all diseases with the same or similar transmission mechanism as the infectious disease from the electronic medical file. The data information comprises the infectious capacity index of the infectious disease, the historical outbreak frequency of the infectious disease and the historical data of the individual suffering time in each outbreak period of the infectious disease, or the infectious capacity index of all diseases with the same or similar transmission mechanism as the infectious disease, the historical outbreak frequency and the historical data of the individual suffering time in each outbreak period.
Step S2, constructing a group monitoring set; the construction method of the group monitoring set comprises the following steps: calculating individual safety indexes of individuals based on the infection ability indexes, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing all the individuals from low to high, sequentially selecting, wherein each monitoring set comprises N individuals, and M monitoring sets are constructed together to serve as group monitoring sets.
And constructing a group monitoring set according to the data information acquired in the step S1, where the method for constructing the monitoring set includes: calculating individual safety indexes of individuals based on the infection ability indexes, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing the individual safety indexes of all the individuals from low to high, selecting N individuals in sequence each time to form a monitoring set, and constructing M monitoring sets as group monitoring sets. Wherein, N and M are both natural numbers larger than 2.
And step S3, when the proportion of the population infected by the infectious diseases in any monitoring set exceeds a set early warning value, outputting early warning of the infectious diseases.
And detecting the number of infectious diseases infecting the population in each monitoring set in the population monitoring set, and sending out early warning when detecting that the number of persons infecting the infectious diseases in the monitoring set exceeds a preset early warning number. The early warning number can be set to be 1% of the total number of people in the monitoring set, namely, when 1% of the number of people in N is infected, the early warning is sent out. It is conceivable that the warning may be implemented in one or more of a voice format, a text format, a warning tone, and the like.
Further, the step of calculating the personal safety index of the individual based on the infectivity index, the historical outbreak number and the historical data of the individual suffering time in each outbreak period comprises the following steps:
the personal safety index is calculated according to the following formula:
wherein the content of the first and second substances,
as a personal safety index, R0(ηj) η, an infectious disease index representing the ability of said infectious disease to spreadjThe actual number of episodes in the historical number of outbreaks for individual j,
represents a time measurement index for the time of an individual's illness during an infectious disease outbreak.
Optionally, the infectivity index R0(ηj) The time measurement index is a basic infection count
Indicates the time of the earliest infection of the individual j in the history of the ith infectious disease outbreak, R0(ηj) Calculated by the following equation:
where β is the rate of transmission of the infectious disease and γ is the rate of recovery/death of the infectious disease, e.g., where a patient recovers or dies after 7 units of infection, γ 1/7. Alternatively, the basic dye transmission number R0(ηj) Different formulas are used for calculation under different infectious disease models. It is contemplated that the infection capacity indicator may be represented by other parameters, such as actual infection number, etc., and need only indicate the transmission capacity of the infection, and is not limited herein. It is also contemplated that the time measurement indicia may be other parameters that are specific to the time of an individual's exposure to an infectious disease during an infection outbreak, such as the reciprocal of the time of an individual's exposure to an infectious disease in the ith infection history, and so on, and need only indicate that the individual is in the infectious diseaseTime-related indicators in the propagation process are sufficient.
Further, the safety index vector for the monitoring set with the number of people N in the method is represented as follows:
and N represents the dimensionality of the safety index vector and the number of people in the monitoring set, and the personal safety indexes of the individuals in the monitoring set are sorted from low to high through the safety index vector.
Preferably, the parameters are selected from: eta is 5 times, using the personal safety index
The risk of infection of an individual is estimated,
the larger the size the more secure the individual is,
closer to 0, the greater the risk of infection for the individual.
Fig. 2 shows the individual personal safety indexes are sorted by using the safety index vector. The infectious diseases (eta is 2) which are outbreaked for 2 times are selected as a reference, the left side of the figure 2 is historical data of the disease time of 4 individuals (A, B, C and D), Q1 is a time axis of the first outbreak of the infectious diseases, Q2 is a time axis of the second outbreak of the infectious diseases, a vertical time axis mark represents the infection time of the individual in the process of the infectious diseases outbreak, and the absence of the mark on the time axis represents that the individual is not infected in the infectious diseases outbreak. The right side of FIG. 2 is the use of the safety indicator vector to measure the personal safety indicator
Sorting is carried out, wherein the horizontal axes are personal safety indexes, and each horizontal axis represents noneThe number of infections, from top to bottom, decreased gradually. The personal safety index from left to right and top to bottom is gradually increased and the risk of infection in an individual during an infection outbreak is gradually reduced. The method comprises the steps of sequentially selecting individuals from top to bottom from left to right on each time axis to obtain monitoring sets comprising N individuals, and then constructing M monitoring sets serving as group monitoring sets, wherein N and M are natural numbers larger than 2.
The method disclosed by the invention is explained in more detail below by taking a specific application example of the invention as an example.
For example, an infectious disease is an infectious disease, which is an infectious disease in an electronic medical file, and is monitored in an early stage. Supposing that the electronic medical file contains the eta of 5 infection outbreak historical observations in a specific population, the period of the outbreak of the infection is T of 150 days, each day is a time unit, the electronic medical file is used
The risk of infection for individual j is estimated.
The historical observation result of the infectious disease outbreak is generated through a simulation experiment, and the specific implementation can be realized through the following mode.
Firstly, a scales-free network comprising 10000 individuals is generated by using a Barabasi-Albert generation algorithm of the scales-free network, the algorithm is set to have the initial size of the network of mB-3 individuals, and a new individual is added in each step later and is connected to m-3 previous individuals. Then, according to the classical SIR transmission model of the infectious disease, the infectious disease simulation is carried out on the network, each node has three states (an S state represents easy infection and lack of immunity and easy infection after being contacted with an infected person; an I state represents infection and can transmit the infectious disease to an S state individual; and an R finger recovers and has immunity or death).
The infectious disease SIR model assumes that all the infected individuals (denoted as I) are randomly selected to be contacted in unit time, wherein after the susceptible individuals (denoted as S) are contacted, the susceptible individuals are converted into infected individuals with a certain probability, and the infection risk is caused by infectionThe infection capacity index of the disease is characterized, for example, by selecting the basic infection number (R)0) As an indicator of infectivity. An individual was randomly selected as the initial infected individual and the transmission of infectious diseases in days was simulated on the above described scale-free network using the SIR transmission model. The number of simulations was 36. Taking every six times as a group, simulating the former five times of infectious diseases as a training set, and recording individual infection time data at the outbreak as historical data of individual illness time in each outbreak period; the sixth infectious disease served as the test set to test the performance of the early warning strategy. Safety index for the individual based on individual infection risk
And (3) sorting from low to high, so that 1% of nodes are selected, namely each monitoring set comprises N-100 persons, and M-20 monitoring sets are constructed as a set of group monitoring sets. If the proportion of people who infect the specific infectious disease in any one of the monitoring sets exceeds a set early warning value f (usually, in the interval of 0% to 100%, for example, f is 1%), an early warning of the infectious disease is issued.
Fig. 3 is a comparison graph of the Early warning effect of the same infectious disease by using the method of the present invention and two traditional infectious disease data monitoring and processing methods (most connected policy and random access policy), wherein a Montreal network, a Scale-free network and a Student network are respectively used as simulated transmission networks of the infectious disease, and each method performs 100 simulated experiments under the simulated transmission networks of the infectious diseases, so as to test the Early warning effect (Early warning, the time difference between the Early warning value of the infection rate in the monitoring set and the Early warning value of the infection rate in the actual population) and the Early warning effect (Peak timing, the time difference between the Peak value of the infection rate in the monitoring set and the Peak value of the infection rate in the actual population) of the three methods. As shown in fig. 3, a data point a is an early warning effect obtained by using a most connected strategy, b data point b is an early warning effect obtained by using a random access strategy, and c data point c is an early warning effect obtained by using the method of the present invention and taking η equal to 5. As shown in FIG. 3, the early warning effect of the method of the invention is equivalent to the early warning effect obtained by using the most connected strategy, and is superior to the early warning effect obtained by using the random access strategy in both early warning and peak early warning. In addition, the method has good early warning effect on Peak value proportion (proportion of Peak infection rate in the monitoring set to Peak infection rate in the actual population) and situation awareness (difference between Peak area of the infection rate curve in the monitoring set and Peak area of the infection rate curve in the actual population after the time when the infection rate reaches the Peak is adjusted to the same time). Therefore, the method can obtain the early warning effect on the infectious diseases based on the existing medical electronic archive data, and people do not need to be monitored by spending a large amount of time, manpower and material resources as the traditional monitoring method.
Therefore, based on the monitoring set confirmed by the infectious disease data monitoring and processing method disclosed by the invention, the susceptible population of the infectious disease can be effectively monitored, early warning of outbreak of the infectious disease can be realized, medical resources such as medicines and vaccines can be preferentially distributed for the susceptible population, and meanwhile, the prior test population for the infectious disease infection condition can be confirmed, so that early discovery and early treatment can be performed on the infectious disease, the establishment of a prevention and treatment strategy is assisted, and the prevention and treatment effect on the infectious disease is improved.
A second embodiment of the present disclosure is an infectious disease data monitoring and processing system 300, as shown in fig. 4, including:
a data collecting module 310 for acquiring data information of infectious diseases; the data information includes: the infectious capacity index of the infectious disease, the historical outbreak number of the infectious disease and the historical data of the individual suffering time in each outbreak period of the infectious disease; the function of which is as described in step S1.
A monitoring set construction module 320, configured to construct a group monitoring set; the construction method of the group monitoring set comprises the following steps: calculating individual personal safety indexes of individuals based on the infection capacity index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing the individual safety indexes from low to high for all the individuals, sequentially selecting, wherein each monitoring set comprises N individuals, and M monitoring sets are constructed together to serve as group monitoring sets; the function of which is as described in step S2.
And the early warning module 330 is configured to output an early warning of the infectious disease when it is detected that the population proportion of any monitoring set infected with the infectious disease exceeds a set early warning value. The function of which is as described in step S3.
Further, the monitoring set constructing module 320 includes:
the personal safety index construction unit is used for calculating the personal safety index of the individual according to the infection ability index, the historical outbreak times and the historical data of the individual suffering time in each outbreak period:
wherein the content of the first and second substances,
as the personal safety index, R0(ηj) Is the index of infectivity, etajThe actual number of episodes in the historical number of outbreaks for individual j,
indicating the time in the history of the ith infection outbreak at which individual j was first infected.
Specifically, the monitoring set constructing module 320 includes:
an infectious ability index construction unit for calculating an infectious ability index of the infectious disease:
wherein R is0(ηj) Beta is the transmission rate of the infectious disease, and gamma is the recovery/death rate of the infectious disease, as the primary infection count.
Further, the monitoring set constructing module 320 includes:
the personal safety index sequencing unit is used for constructing a safety index vector aiming at a monitoring set with N people, and sequencing personal safety indexes in the safety index vector from low to high, wherein the safety index vector is expressed as follows:
wherein N represents the dimensionality of the safety index vector and also represents the number of people in the monitored set.
Preferably, eta is 5 times, and the personal safety index is utilized
The risk of infection in an individual is estimated,
larger indicates a safer individual and a lower risk of infection. If, however, there is a
Closer to 0 indicates a greater risk of infection for the individual.
The invention also provides a storage medium, wherein the storage medium stores an infectious disease data monitoring processing program, and the infectious disease data monitoring processing program is executed by a processor to realize the infectious disease data monitoring processing method.
The invention discloses a method, a system and a storage medium for monitoring and processing infectious disease data, which are used for acquiring the data information of infectious diseases; the data information includes: the infectious capacity index of the infectious disease, the historical outbreak number of the infectious disease and the historical data of the individual suffering time in each outbreak period of the infectious disease; constructing a group monitoring set; the construction method of the group monitoring set comprises the following steps: calculating individual safety indexes of individuals based on the infection ability index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing and sequentially selecting the individual safety indexes of all the individuals from low to high, wherein each monitoring set comprises N individuals, and M monitoring sets are constructed together to serve as group monitoring sets; and when the proportion of the population infected by the infectious diseases in any monitoring set exceeds a set early warning value, outputting the early warning of the infectious diseases. The monitoring set confirmed by the infectious disease data monitoring and processing method disclosed by the invention can effectively monitor infectious disease susceptible population, not only can early warn outbreak of infectious diseases, but also can preferentially distribute medical resources such as medicines and vaccines for the susceptible population, and can confirm the preferentially tested population aiming at the infectious disease infection condition, thereby early discovering and early treating the infectious diseases, assisting in formulating a prevention and treatment strategy and improving the prevention and treatment effect on the infectious diseases. According to the method, the system and the storage medium provided by the invention, through analyzing the historical data in the electronic medical file, the early monitoring and early warning can be carried out on the infectious diseases without investing extra money or manpower, and the method, the system and the storage medium have high sensitivity on the outbreak of the infectious diseases and provide convenience for preventing and treating the infectious diseases.
Of course, it will be understood by those skilled in the art that all or part of the processes of the methods of the above embodiments may be implemented by a computer program instructing relevant hardware (such as a processor, a controller, etc.), and the program may be stored in a computer readable storage medium, and when executed, the program may include the processes of the above method embodiments. The storage medium may be a memory, a magnetic disk, an optical disk, etc.
It should be understood that equivalents and modifications of the technical solution and inventive concept thereof may occur to those skilled in the art, and all such modifications and alterations should fall within the scope of the appended claims.
Claims (10)
1. An infectious disease data monitoring and processing method is characterized by comprising the following steps:
acquiring data information of infectious diseases; the data information includes: an infectious disease ability index representing the infectious disease transmission ability, historical outbreak times of the infectious disease and historical data of individual illness time in each outbreak period of the infectious disease;
constructing a group monitoring set; the construction method of the group monitoring set comprises the following steps: calculating individual safety indexes of individuals based on the infection capacity index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing all the individuals from low to high, sequentially selecting, wherein each monitoring set comprises N individuals, and constructing M monitoring sets as group monitoring sets;
and when the proportion of the population infected by the infectious diseases in any monitoring set exceeds a set early warning value, outputting early warning of the infectious diseases.
2. An infectious disease data monitoring process as defined in claim 1, wherein the step of calculating the individual safety index of the individual based on the infectious capacity index, the historical number of outbreaks and the historical data of the individual's illness time during each outbreak period comprises:
the personal safety index is calculated according to the following formula:
wherein the content of the first and second substances,
as the personal safety index, R0(ηj) Eta, as an indicator of the ability of said infectious disease to conveyjThe actual number of episodes in the historical number of outbreaks for individual j,
and (3) a time measurement index for the individual suffering time in the infectious disease outbreak period.
3. An infectious disease data monitoring and processing method according to claim 2, wherein the infection capacity index R0(ηj) The time measurement index is a basic infection count
Indicating the time in the history of the ith infection outbreak at which individual j was first infected.
4. An infectious disease data monitoring process as claimed in claim 2, wherein the safety index vector for the monitoring set with number of people N in the process is represented as follows:
wherein N represents the dimensionality of the safety index vector and also represents the number of people in the monitored set.
5. An infectious disease data monitoring processing method according to claim 1, wherein the data information of the infectious disease includes data information of all diseases having the same or similar infection transmission mechanism as the infectious disease; the number M of the monitoring sets and the number N of people in each monitoring set are natural numbers which are larger than 2.
6. An infectious disease data monitoring and processing system, comprising:
the data collection module is used for acquiring data information of infectious diseases; the data information includes: an infectious disease ability index representing the infectious disease transmission ability, historical outbreak times of the infectious disease and historical data of individual illness time in each outbreak period of the infectious disease;
the monitoring set construction module is used for constructing a group monitoring set; the construction method of the group monitoring set comprises the following steps: calculating individual safety indexes of individuals based on the infection capacity index, historical outbreak times and historical data of individual illness time in each outbreak period, sequencing all the individuals from low to high, sequentially selecting, wherein each monitoring set comprises N individuals, and constructing M monitoring sets as group monitoring sets; n and M are both natural numbers larger than 2;
and the early warning module is used for outputting the early warning of the infectious disease when detecting that the population proportion of any monitoring set infected with the infectious disease exceeds a set early warning value.
7. An infectious disease data monitoring processing system as defined in claim 6, wherein the monitoring set construction module comprises:
the personal safety index construction unit is used for calculating the personal safety index of the individual according to the infection ability index, the historical outbreak times and the historical data of the individual suffering time in each outbreak period:
wherein the content of the first and second substances,
as the personal safety index, R0(ηj) Eta, as an indicator of the ability of said infectious disease to conveyjThe actual number of episodes in the historical number of outbreaks for individual j,
and (3) a time measurement index for the individual suffering time in the infectious disease outbreak period.
8. An infectious disease data monitoring processing system as defined in claim 7, wherein the monitoring set construction module comprises:
and the infection capacity index construction unit is used for calculating the infection capacity index representing the transmission capacity of the infectious diseases.
9. An infectious disease data monitoring processing system as defined in claim 7, wherein the monitoring set construction module further comprises:
the personal safety index sequencing unit is used for constructing a safety index vector aiming at a monitoring set with N people, and sequencing personal safety indexes in the safety index vector from low to high, wherein the safety index vector is expressed as follows:
wherein N represents the dimensionality of the safety index vector and also represents the number of people in the monitored set.
10. A storage medium storing an infectious disease data monitoring processing program which is executed by a processor to implement the infectious disease data monitoring processing method according to any one of claims 1 to 5.
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