Infectious disease early warning method based on block chain

Abstract

The invention relates to the field of infectious disease early warning, in particular to an infectious disease early warning method based on a block chain, and the method comprises the steps: dividing a population activity area and the medical service range of each hospital into a plurality of grids; constructing a medical data block chain sharing platform for sharing the medical data of the patients of the hospitals; analyzing medical data in the medical data block chain sharing platform, and when a disease conforming to infectious disease characteristics is diagnosed in the medical data and the infectivity or harmfulness exceeds a preset value, constructing a material block chain announcement platform, and sending the material block chain announcement platform to the medical data block chain sharing platform; the material block chain publicity platform is used for transmitting the production process, the outflow quantity, the logistics trend and the transaction flow direction data of the materials; and setting a plurality of supervision nodes, wherein the supervision nodes are used for monitoring excessive and forged data in the data uploading request. According to the technical scheme of the invention, the distribution openness of the supply of the materials in the early warning management and control of the infectious diseases is ensured through the block chain, and the damage to the benefits of residents caused by non-uniform distribution of the materials is reduced.

Description

Technical Field

[0001] The present invention relates to the field of infectious disease early warning, and particularly to a blockchain-based infectious disease early warning method. Background Art

[0002] Blockchain technology is a decentralized recording technology formed by combining a variety of existing technologies (P2P network, cryptography, etc.). Currently, there is no unified definition of blockchain. The definition of blockchain on Wikipedia is: Blockchain is a peer-to-peer network that uses a distributed database to identify, disseminate, and record information. In short, blockchain is essentially a distributed database with decentralized characteristics. Blockchain technology is essentially a distributed database technology. Nodes in the network use technologies such as cryptography, consensus algorithms, and peer-to-peer communication to jointly maintain the consistency and integrity of the entire network data. The decentralization and data immutability of blockchain make it have broad application prospects in banking, healthcare, credit investigation, etc. In the case of infectious disease data in healthcare, due to its special privacy and confidentiality, strict anti-tampering and anti-leakage measures must be taken. This makes it impossible to share infectious disease data in different regions in reality. Applying such infectious disease data to the blockchain solves the problem of inability to share due to fear of data tampering and leakage.

[0003] Due to the continuous emergence of new viruses, in the face of new viruses, there is a lack of response materials, making it difficult to quickly take targeted emergency measures. Under the premise of uncertainty about the harm caused by new viruses, taking control measures can effectively reduce risk factors. However, the control process highly requires the cooperation of residents. The successful elimination of potential hidden dangers through control will enhance the public credibility of residents, while misjudging the infectivity of new viruses will lead to useless responses from residents, which will instead reduce the public credibility of residents. To reduce the impact of early warning and control on public credibility, the damage to the interests of residents in the process of cooperating with control should be reduced.

[0004] Some residents will hoard a large amount of materials during the control process, far exceeding their needs, leading to extreme situations where other residents have no materials available. This is caused by the asymmetry in obtaining relevant information. The relevant information is not shared or tampered with, and residents do not understand the true reserve of living materials, so they would rather believe that "materials are about to be in short supply", resulting in serious damage to the interests of a large number of residents. Therefore, a blockchain-based infectious disease early warning method is needed to reliably ensure the immutability and publicity of relevant information during the early warning and control process. Summary of the Invention

[0005] To solve the above problems, the present invention provides a blockchain-based infectious disease early warning method, which ensures the openness of the supply and distribution of materials in infectious disease early warning and control through the blockchain, and reduces the damage to the interests of residents caused by uneven distribution of materials.

[0006] To achieve the above object, the technical solution of the present invention is as follows: An infectious disease early warning method based on blockchain, comprising:

[0007] Step 1: Divide the population activity areas and the medical service scopes of each hospital into several grids;

[0008] Step 2: Construct a medical data blockchain sharing platform, which is used to share the patient medical data of each hospital;

[0009] Step 3: Analyze the medical data in the medical data blockchain sharing platform. When a disease that conforms to the characteristics of an infectious disease appears in the diagnosis of the medical data, evaluate the infectivity and harmfulness according to the number of patients who conform to the characteristics of the infectious disease per unit time;

[0010] Step 4: When the infectivity or harmfulness exceeds a preset value, construct a material blockchain publicity platform. The materials include protective equipment, drugs, products for disinfection, and food. The material blockchain publicity platform is used to transmit the production process, outflow quantity, logistics direction, and transaction flow data of the materials;

[0011] Step 5: Set several supervision nodes. The data upload requests of the material blockchain publicity platform are all verified and processed by the supervision nodes and then added to the blockchain. The supervision nodes are used to monitor excessive and forged data in the data upload requests;

[0012] Step 6: Control the grids where the disease patients who conform to the characteristics of the infectious disease are located and the grids passed by the spatio-temporal trajectories of the disease patients respectively.

[0013] The above solution has the following beneficial effects:

[0014] 1. In this solution, the population activity areas are divided into multiple grids for management. The grids are divided according to the medical service scopes of the hospitals, so as to establish a medical data transmission system with appropriate density. The blockchain technology has the characteristics of decentralization and non-tampering. Using blockchain for medical data sharing can aggregate the data of multiple hospitals, and then analyze the infectious disease risks regionally.

[0015] 2. In this solution, when the infectivity or harmfulness exceeds the preset value, early warning and control are carried out to prevent the continuous spread of infectious diseases. By constructing a material blockchain publicity platform before control, using the decentralization and immutability of the blockchain to publicize material information, all residents can view it. Among them, the production process, outflow quantity, logistics direction, and transaction flow data of materials are all uploaded to the material blockchain publicity platform. As the data inspection node, the supervision node will compare the transmitted data directory with its own data to prevent data tampering and other behaviors. As the inspection node, the supervision node can obtain the data immediately after it is uploaded, so as to monitor whether there are problems in the material supply chain and reduce the decline in public credibility caused by uneven material supply.

[0016] 3. In this solution, control is implemented for the grids where disease patients conforming to the characteristics of infectious diseases are located and the grids passed through by the spatio-temporal trajectories of disease patients, effectively controlling the condition in the early stage of the disease and reducing the impact on residents caused by the spread of infectious diseases.

[0017] Compared with the prior art, by using the decentralization and immutability of the blockchain to process medical data and material data in control respectively, data can be shared, which can not only judge the trend of infectious diseases regionally, but also reduce the loss of residents' interests in control through material management, improve residents' cooperation, and reduce the decline in residents' public credibility during the early warning process.

[0018] Furthermore, in step two, several adjacent grids are used as a unit, and hospitals within the unit share medical data. Each unit is equipped with a data analysis module, which is used to monitor the medical data within the unit and extract data features. The data features include the growth rate, total amount, correlation between disease symptoms and patients, and physiological sign parameters of disease symptom patients within a unit time, and output the data features as ID codes;

[0019] The data analysis module is also used to store the historical data index of the change of data features over time at intervals of unit time length. The historical data index is used to locally bind the processing information of the hospital within the unit time of the data features in the unit. The processing information includes no action, start time of control, control measures, control area, control constraint degree, and log information of the material blockchain publicity platform;

[0020] The medical data blockchain sharing platform is used to record the ID codes and ID code historical records of the data features of each unit. When the data features within the unit conform to the characteristics of infectious diseases, the medical data blockchain sharing platform is used to share the medical data of the units with the same ID codes in the same period. The medical data blockchain sharing platform is also used to search for historical ID codes, trace the unit based on the ID code, and search for processing information based on the historical data index to assist in the judgment and processing planning of infectious diseases.

[0021] Beneficial effects: Although blockchain can ensure data security, due to the need to maintain the consistency and integrity of the entire network's data, the greater the number of nodes, the greater the additional computing power load demand. Since infectious diseases are contagious and usually break out concentratedly in specific areas, in the daily monitoring state, adjacent grids are regarded as a unit, data sharing is carried out within the unit, and data features are extracted. The medical data blockchain sharing platform is used to summarize the data feature ID codes of each unit, so as to control the situation of each unit.

[0022] When there is an infectious disease risk in a single unit, using the data feature ID code as the key, the data of units with the same features are merged, and the scope of the blockchain is expanded, so as to ensure that there is enough data volume to support when there is an infectious disease risk. In addition, all data are stored within the unit, and the server load is disassembled into each unit. When it is necessary to conduct an infectious disease risk based on historical data, the unit that once had the situation of this data feature can be found through the data feature ID code, and the corresponding historical processing record of the unit can be obtained for reference to assist in the judgment of infectious diseases and the handling plan.

[0023] Further, in step three, trace the place of residence and family health status of patients with infectious disease characteristics, and respectively obtain the number of patients with infectious disease characteristics in their place of residence and the number of patients with infectious disease characteristics within family members.

[0024] Beneficial effects: By tracing the place of residence and family members, the high-risk population can be quickly grasped and the infectivity can be verified.

[0025] Further, the infectious disease characteristics include zoonosis, endemicity and population-based.

[0026] Beneficial effects: By extracting the disease characteristics in medical data to determine the diseases suspected of being infectious diseases, zoonosis, endemicity and population-based are all representative characteristics of infectious diseases.

[0027] Further, in step three, the harm assessment includes symptoms, transmission routes, complications, sequelae and fatality rate.

[0028] Beneficial effects: By assessing the harmfulness, judge the impact of the disease, so as to determine the social harmfulness caused by infectious diseases, and adopt different levels of control measures for infectious diseases with different social harmfulness.

[0029] Further, in step three, predict the types of materials required based on symptoms, transmission routes, complications and sequelae, and estimate the total quota of materials required according to the population density of the place of residence of patients with infectious disease characteristics.

[0030] Beneficial effects: By analyzing infectious diseases, the required materials can be quickly located, thereby controlling the materials. Before the control, the material supply chain can be effectively allocated, and according to the total quota of materials required, the per capita quota during the distribution process can be calculated to reasonably plan the per capita quantity.

[0031] Further, in step three, based on the distribution of the residences of patients with infectious disease characteristics, a multi-layered circular control area is constructed. The area closer to the patient's residence has a higher degree of freedom constraint on residence, and at the same time, the per capita material quota in the area closer to the patient's residence is more.

[0032] Beneficial effects: A multi-layered circular control area is established. The area closer to the patient's residence has a higher degree of freedom constraint on residence, while the area far from the patient's residence has a lower degree of freedom constraint. Through the multi-ring control method, the degree of freedom constraint on residents can be reduced, and the damage to the interests of residents can be reduced. At the same time, the per capita material quota in the area of the patient's residence is increased so that it can fully cope with the material shortage caused by the degree of freedom constraint and reduce the damage to the interests of relevant residents.

[0033] Further, in step four, the transaction information on the publicity platform is collected to generate a trend chart of the transaction quantity of each material over time under control. The percentage change of the potential infected population in the total population is evaluated based on the transaction volume of drugs related to infectious disease symptoms, and the accurate infectivity is evaluated based on the percentage change of the potential infected population in the total population under the control system with different degrees of freedom constraints.

[0034] Beneficial effects: Residents can purchase relevant drugs during the control period to relieve their symptoms. Due to the control of material publicity, residents can effectively obtain the required materials. When residents show symptoms of infectious diseases, they will purchase relevant drugs to relieve their symptoms. By observing the transaction volume of drugs related to infectious disease symptoms among residents, the potential infected population in the control area can be evaluated. According to the percentage of the potential infected population in the total population under the control system with different degrees of freedom constraints, the infectivity of infectious diseases is evaluated, and the degree of freedom constraint of the area is changed according to the infectivity.

[0035] Further, in step six, when the evaluated accurate infectivity is lower than the preset value and the number of newly added patients with infectious disease characteristics in the outermost control area is zero for consecutive days, the degree of freedom constraint and the per capita material quota are reduced.

[0036] Beneficial effects: When the infectivity of infectious diseases is actually not strong, the degree of freedom constraint and the per capita material quota are gradually reduced starting from the outermost control area, thereby reducing the loss of residents' interests during the early warning and control of infectious diseases.

[0037] The additional aspects and advantages of the present invention will be partly given in the following description, partly will become obvious from the following description, or be understood through the practice of the present invention. Brief Description of the Drawings

[0038] Figure 1 It is a schematic diagram of the steps of an embodiment of the method for warning of infectious diseases based on blockchain in the present invention. Detailed Description of the Invention

[0039] Next, the technical solutions of the present invention will be described clearly and completely with reference to the accompanying drawings. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0040] In the description of the present invention, it should be noted that the orientation or positional relationship indicated by the terms "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the accompanying drawings, and is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be construed as a limitation of the present invention. In addition, the terms "first", "second", and "third" are only used for descriptive purposes and should not be construed as indicating or implying relative importance.

[0041] In the description of the present invention, it should be noted that unless otherwise clearly defined and limited, the terms "installed", "connected", and "connected" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be directly connected or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0042] The following is a further detailed description through specific embodiments:

[0043] As shown in the attached Figure 1 drawing: A method for warning of infectious diseases based on blockchain includes:

[0044] Step 1: Divide the population activity area and the medical service scope of each hospital into several grids.

[0045] The population activity area is divided into multiple grids for management. The grids are divided according to the medical service scope of the hospital, so as to establish a medical data transmission system with appropriate density, so as to aggregate the data of multiple hospitals and analyze the risk of infectious diseases regionally.

[0046] Step 2: Build a medical data blockchain sharing platform. The medical data blockchain sharing platform is used to share the patient medical data of each hospital. Taking several adjacent grids as a unit, the hospitals within the unit share medical data. Each unit is equipped with a data analysis module. The data analysis module is used to monitor the medical data within the unit and extract data features. The data features include the growth rate, total amount, correlation between the symptom and patients, and physiological sign parameters of the patients with the same symptom within a unit time, and output the data features as ID codes.

[0047] The data analysis module is also used to store the historical data index of the change of data features over time with the unit time length as the separator. The historical data index is used to locally bind the processing information of the hospital within the unit time of the data features in the unit. The processing information includes no action, start time of control, control measures, controlled area, control constraint degree, and log information of the material blockchain publicity platform.

[0048] The medical data blockchain sharing platform is used to record the ID codes and ID code historical records of the data features of each unit. When the data features within the unit conform to the infectious disease features, the medical data blockchain sharing platform is used to share the medical data of the units with the same ID codes in the same period. The medical data blockchain sharing platform is also used to search for historical ID codes, trace the unit based on the ID code, and search for processing information based on the historical data index to assist in infectious disease judgment and treatment planning.

[0049] Blockchain technology has the characteristics of decentralization and immutability. Using blockchain for medical data sharing can effectively reduce the falsification of medical data.

[0050] Although blockchain can ensure data security, due to the need to maintain the consistency and integrity of the whole network data, the greater the number of nodes, the greater the additional computing power load requirement. And infectious diseases are contagious and usually break out concentratedly in specific areas. Therefore, in the daily monitoring state, taking adjacent grids as a unit, data sharing is carried out within the unit, and data features are extracted. The medical data blockchain sharing platform is used to summarize the data feature ID codes of each unit, so as to control the situation of each unit.

[0051] When there is an infectious disease risk in a single unit, using the data feature ID code as the key, merge the data of the units with the same features, expand the scope of the blockchain, so as to ensure that there is enough data volume to support when there is an infectious disease risk. In addition, all data are stored within the unit, and the server load is disassembled to each unit. When it is necessary to conduct infectious disease risk based on historical data, the unit that once had the situation of this data feature can be found through the data feature ID code, and the corresponding historical processing record of the unit can be obtained for reference to assist in infectious disease judgment and treatment planning.

[0052] Step 3: Analyze the medical data in the medical data blockchain sharing platform. When a disease with infectious disease characteristics appears in the diagnosis of the medical data, trace the residence and family health status of patients with infectious disease characteristics, and respectively obtain the number of patients with infectious disease characteristics in their residence and the number of patients with infectious disease characteristics within family members. Evaluate the infectivity and harmfulness based on the number of patients with infectious disease characteristics per unit time. The infectious disease characteristics include zoonosis, endemicity, and population-based characteristics, and the harmfulness assessment includes symptoms, transmission routes, complications, sequelae, and fatality rate.

[0053] Predict the types of materials required based on symptoms, transmission routes, complications, and sequelae. Estimate the total quota of materials required according to the population density of the residence of patients with infectious disease characteristics. Based on the distribution of the residence of patients with infectious disease characteristics, construct a multi-layered circular control area. The closer the area is to the residence of the patients, the higher the restriction on the freedom of residence, and at the same time, the more per capita material quota in the area closer to the residence of the patients.

[0054] By monitoring medical data, extract diseases with infection risks, and judge whether emergency treatment is required based on their infectivity and harmfulness. Trace the residence and family members to quickly identify the risk population and verify the infectivity. Analyze the infectious diseases to quickly locate the required materials, thereby controlling the materials, effectively controlling the material supply chain before the control, and calculating the per capita quota during the distribution process based on the total quota of materials required, and reasonably planning the per capita quantity. Establish a multi-layered circular control area. The closer the area is to the residence of the patients, the higher the restriction on the freedom of residence, and the lower the restriction on the freedom in the area far from the residence of the patients. Through the multi-ring control method, the restriction on the freedom of residents can be reduced, and the damage to the interests of residents can be reduced. At the same time, increase the per capita material quota in the area of the residence of the patients to enable them to fully cope with the material shortage caused by the restriction on freedom and reduce the damage to the interests of relevant residents.

[0055] Step 4: When the infectivity or harmfulness exceeds the preset value, construct a material blockchain publicity platform. The materials include protective equipment, drugs, products for disinfection, and food. The material blockchain publicity platform is used to transmit data on the production process, outflow quantity, logistics direction, and transaction flow of the materials. Collect the transaction information on the publicity platform, generate a trend chart of the change in the transaction quantity of each material over the control time, evaluate the percentage change in the number of potential infected people accounting for the total population based on the transaction volume of drugs related to infectious disease symptoms, and evaluate the accurate infectivity based on the percentage change in the number of potential infected people accounting for the total population under the control system with different degrees of freedom restriction.

[0056] Step 5: Set up several regulatory nodes. The data upload requests of the material blockchain publicity platform are all verified and processed by the regulatory nodes and then added to the blockchain. The regulatory nodes are used to monitor excessive and forged data in the data upload requests.

[0057] When the infectivity or harmfulness exceeds the preset value, early warning and control are carried out to prevent the further spread of infectious diseases. By constructing a material blockchain publicity platform before control, and using the decentralization and immutability of the blockchain, the material information is publicized, and all residents can view it. Among them, the production process, outflow quantity, logistics direction, and transaction flow data of the materials are all uploaded to the material blockchain publicity platform. As the data inspection node, the supervision node will compare the transmitted data directory with its own data to prevent data tampering and other behaviors. As the inspection node, the supervision node can obtain the data immediately after the data is uploaded, so as to monitor whether there are problems in the material supply chain and reduce the decline in public credibility caused by uneven material supply. Residents can purchase relevant drugs during the control period to relieve their symptoms. Due to the material publicity and control, residents can effectively obtain the required materials. When residents show symptoms of infectious diseases, they will purchase relevant drugs to relieve their symptoms. By observing the trading volume of drugs related to infectious disease symptoms among residents, the potential number of infected people in the controlled area can be evaluated. According to the percentage of the potential number of infected people in the total population under the control system with different degrees of freedom constraints, the infectivity of infectious diseases is evaluated, and the degree of freedom constraint of the area is changed according to the infectivity.

[0058] Step 6: Control the grids where the disease patients conforming to the characteristics of infectious diseases are located and the grids passed by the spatio-temporal trajectories of the disease patients respectively. When the evaluated accurate infectivity is lower than the preset value and the number of newly added patients conforming to the characteristics of infectious diseases in the outermost control area is zero for several consecutive days, reduce the degree of freedom constraint and the per capita material quota.

[0059] Control the grids where the disease patients conforming to the characteristics of infectious diseases are located and the grids passed by the spatio-temporal trajectories of the disease patients, effectively controlling the disease in the early stage of onset and reducing the impact of the spread of infectious diseases on residents. By reducing the damage to the interests of residents during the control process, the control of infectious diseases can be preferentially restricted before the infectious diseases spread widely, so as to give early warning before the specific characteristics of infectious diseases are determined, realizing prevention being greater than governance.

[0060] Obviously, the above embodiments are only examples clearly described and not limitations on the implementation manners. For those of ordinary skill in the art, other different forms of changes or modifications can be made based on the above description. It is not necessary and impossible to list all the implementation manners here. And the obvious changes or modifications derived therefrom are still within the protection scope of the present invention.

Claims

1. A blockchain-based infectious disease early warning method, characterized in that, Including: Step 1: Divide the population activity areas and the medical service scopes of each hospital into several grids; Step 2: Construct a medical data blockchain sharing platform, which is used to share the patient medical data of each hospital; Step 3: Analyze the medical data in the medical data blockchain sharing platform. When a disease that conforms to the characteristics of an infectious disease appears in the diagnosis of the medical data, evaluate the infectivity and harmfulness according to the number of patients who conform to the characteristics of the infectious disease per unit time; Step 4: When the infectivity or harmfulness exceeds the preset value, construct a material blockchain publicity platform. The materials include protective equipment, drugs, products for disinfection, and food. The material blockchain publicity platform is used to transmit the production process, outflow quantity, logistics direction, and transaction flow data of the materials; Step 5: Set several supervision nodes. The data upload requests of the material blockchain publicity platform are all verified and processed by the supervision nodes and then added to the blockchain. The supervision nodes are used to monitor the excessive and forged data in the data upload requests; Step 6: Control the grids where the patients with diseases that conform to the characteristics of infectious diseases are located and the grids passed through by the spatio-temporal trajectories of the disease patients respectively.

2. The method for infectious disease early warning based on blockchain according to claim 1, wherein In Step 2, several adjacent grids are used as a unit, and the hospitals within the unit share medical data. Each unit is equipped with a data analysis module, which is used to monitor the medical data within the unit and extract data features. The data features include the growth rate, total amount, correlation between the disease symptoms and patients, and physiological sign parameters of the disease symptoms in the same disease symptom per unit time, and output the data features as ID codes; The data analysis module is also used to store the historical data index of the change of data features over time with the unit time length as the separation. The historical data index is used to locally bind the processing information of the hospital within the unit time of the data features in the unit. The processing information includes no action, start time of control, control measures, controlled area area, control constraint degree, and log information of the material blockchain publicity platform; The medical data blockchain sharing platform is used to record the ID codes and ID code historical records of the data features of each unit. When the data features within the unit conform to the characteristics of an infectious disease, the medical data blockchain sharing platform is used to share the medical data of the units with the same ID code in the same period. The medical data blockchain sharing platform is also used to search for historical ID codes, trace the unit based on the ID code, and search for processing information based on the historical data index to assist in the judgment of infectious diseases and the processing plan.

3. The method for infectious disease early warning based on blockchain according to claim 2, wherein, In Step 3, trace the residence and family health status of the patients with the characteristics of infectious diseases, and respectively obtain the number of patients who conform to the characteristics of the infectious disease in their residence and the number of patients who conform to the characteristics of the infectious disease among family members.

4. The method for infectious disease early warning based on blockchain according to claim 3, wherein In Step 3, the characteristics of infectious diseases include zoonosis, endemicity, and population nature.

5. The method for warning of infectious diseases based on blockchain according to claim 4, wherein In Step 3, the harmfulness assessment includes symptoms, transmission routes, complications, sequelae, and lethality.

6. The method for infectious disease early warning based on blockchain according to claim 5, wherein, In Step 3, predict the types of materials required based on symptoms, transmission routes, complications, and sequelae, and estimate the total quota of materials required according to the population density of the residence of the patients who conform to the characteristics of the infectious disease.

7. The blockchain-based infectious disease early warning method according to claim 6, wherein, Step 3: Based on the distribution of the residences of patients with infectious disease characteristics, construct a multi-layered circular control area. The areas closer to the patients' residences have higher restrictions on the freedom of residence, and at the same time, the per capita material quota is higher in the areas closer to the patients' residences.

8. The method for infectious disease early warning based on blockchain according to claim 7, wherein In Step 4, collect the transaction information on the public notice platform, generate a trend chart of the transaction quantity of each material over the control time, evaluate the percentage change of the potential infected population in the total population according to the transaction volume of drugs related to infectious disease symptoms, and evaluate the accurate infectivity according to the percentage change of the potential infected population in the total population under the control system with different degrees of freedom restrictions.

9. The method for infectious disease early warning based on blockchain according to claim 8, wherein, In Step 6, when the evaluated accurate infectivity is lower than the preset value and the number of newly added patients with infectious disease characteristics in the outermost control area has been zero for several consecutive days, reduce the degree of freedom restriction and the per capita material quota.

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