TWI769573B - System, method and computer readable medium for epidemic assessment and user tracking - Google Patents

Abstract

The present invention provides a system for epidemic assessment and user tracking mainly for timely grasp the possible epidemic risk of mobile users upon entry by capturing and analyzing registration and online behavior information of mobile users from various sources, such that restrictions of collecting information on an intranet and extranet can be exempted, and the past, present and future epidemic situation evaluation information of each area can be provided to an epidemic prevention unit for reference in formulation of epidemic control policies. The present invention also provides a method for epidemic assessment and user tracking and a computer-readable medium for executing the method for epidemic assessment and user tracking.

Description

System, method and computer readable medium for epidemic assessment and user tracking

The present invention relates to wireless communication technology, in particular to a system and method for regional epidemic assessment and user tracking based on a mobile network.

With the evolution of technology, the application level of wireless communication technology is also expanding. In 2020, the new crown pneumonia caused a major epidemic in the world. Regarding the epidemic prevention measures related to entry, in addition to active notification, how does the telecommunications industry collect, organize, or analyze and evaluate the risks threatened by the epidemic in various regions through the mobile network, and provide real-time information to help grasp Information about the epidemic situation in various regions and related users has also become one of the hot topics in this field.

However, the conventional method of tracking the epidemic through the mobile network must send signals to each other on the mobile phones, and the base station needs to be additionally installed with a controller to additionally capture data for analysis. However, this approach not only has a limited tracking scope and/or number of cases, but also incurs the cost of installing additional devices, and when the mobile phone user is not within the service area of the carrier's base station (for example, when the mobile phone user is in international roaming), It will be impossible to accurately grasp the epidemic situation due to the inability to analyze the data.

Therefore, there is a need for a system and method that can accurately grasp the location (including domestic and foreign) of the mobile device used by the user at a specific time, and can provide a comprehensive local epidemic assessment, so as to timely grasp the distribution of the epidemic situation in the local potential threat, and Follow up the relevant users affected by the epidemic afterwards.

In view of the above deficiencies, the present invention provides a system for epidemic assessment and user tracking, including: an information collection module, which is used to analyze the registration and online behavior of mobile users from the mobile network of the local network and the mobile network of the external network information, the mobile users include mobile users entering the external network and mobile users going out of this website; the judgment module is used to judge the entry information of the mobile user from the registration and online behavior information when the mobile user enters the country; and risks The evaluation module is used to analyze the epidemic assessment information based on the entry information.

In the aforementioned system, the registration and online behavior information includes the time when the mobile user generates signaling and communication information, the mobile user's door number, the mobile user's connection information on the mobile network of this website, and The connection information of the mobile user on the extranet mobile network.

In the aforementioned system, the mobile user entering the external network is defined as a roamer who enters the local mobile network from the mobile network of the external network, and when the mobile user is the mobile user entering the external network, the mobile user When entering the country, the judging module determines the entry information of the mobile user from the registration and online behavior information, including: obtaining the registration and online behavior information from the information collection module regularly; from the registration and online behavior information Screen out the door numbers that do not belong to the mobile network of this website, and identify them as the mobile users entering the mobile network; analyze the trajectory information of the mobile users entering the mobile network, wherein the trajectory information records the mobile entry activities of the external network The user's entry time and nationality; and the entry information is generated according to the external network entry mobile user and the corresponding trajectory information.

In the aforementioned system, the outgoing mobile user of this network is defined as a roamer who travels from the local mobile network to the external mobile network, and when the mobile user is the outgoing mobile user of the local network, the When a mobile user enters the country, the judging module determines the entry information of the mobile user from the registration and online behavior information, including: obtaining the registration and online behavior information from the information collection module regularly; Screen out the gate number belonging to the mobile network of this website and in roaming state from the information, and identify them as the outgoing mobile user of this website; record the trajectory information of the outgoing mobile user of this website, among which, the trajectory information is a record The country and region visited by the outgoing user of this website; when the outgoing user of this website generates signaling and communication on the mobile network of this website again, it is determined to be inbound; and according to the entry time of the outgoing user of this website and the trajectory information to generate the entry information.

In the aforementioned system, the risk assessment module analyzes the epidemic assessment information according to the entry information, including: screening recent inbound passengers from the entry information, wherein the inbound passengers include the external network entry mobile user and the Outbound users of this website; estimate the epidemic risk score of an individual inbound passenger based on the alert rating score of the country and/or region where the inbound passenger roamed before entry and the stay time rating score of the roaming country and/or region; The passenger epidemic risk score and the graded score of the inbound passenger's stay time in a specific area after entering the country, to estimate the epidemic risk score of the inbound passenger distribution area in the specific area; according to the epidemic risk score of the inbound passenger distribution area and the crowd safety distance in the specific area The degree to estimate the overall epidemic risk score of the specific area, where the safety distance degree of the crowd is defined as the value obtained by dividing the actual number of people in the specific area by the saturated number of people in the specific area corresponding to the personal safety distance; according to The overall epidemic risk score of the area and the crowd trend of the specific area are used to estimate the overall epidemic risk prediction score of the specific area, wherein the crowd trend corresponds to the predicted number of people in the specific area at each time point; and based on the individual entry The epidemic risk score of the passengers, the epidemic risk score of the distribution area of the inbound passengers, the overall epidemic risk score of the area, and the overall epidemic risk prediction score of the area generate the epidemic assessment information.

In the aforementioned system, a database is included, which is used to store the registration and online behavior information, the entry information and the epidemic assessment information.

The present invention further provides a method for epidemic assessment and user tracking, including: enabling an information collection module to analyze the registration and online behavior information of mobile users from the local mobile network and the external mobile network, wherein the mobile user Including mobile users entering the external network and mobile users going out of this network; enabling the judgment module to determine the entry information of the mobile user from the registration and online behavior information when the mobile user enters the country; and making the risk rating module based on the entry information Analyze outbreak assessment information.

In the aforementioned method, the registration and online behavior information includes the time when the mobile user generates signaling and communication information, the mobile user's door number, the mobile user's connection information on the mobile network of this website, and The connection information of the mobile user on the extranet mobile network.

In the aforementioned method, the mobile user entering the external network is defined as a roamer who enters the mobile network of the local network from the mobile network of the external network, and when the mobile user is the mobile user entering the external network, the order judgment mode When the mobile user enters the country, the step of judging the entry information of the mobile user from the registration and online behavior information includes the following sub-steps: regularly obtain the registration and online behavior information from the information collection module; Screen those who do not belong to the mobile network of the mobile network in the online behavior information, and identify them as mobile users entering the external network; analyze the trajectory information of the mobile users entering the external network, where the trajectory information records the external network. The entry time and nationality of the user entering the mobile network from the Internet; and the entry information is generated according to the mobile user entering the mobile network from the Internet and the corresponding trajectory information.

In the aforementioned method, the outgoing mobile user of this network is defined as a roamer who travels from the local mobile network to the external mobile network, and when the mobile user is the outgoing mobile user of the local network, the order When the mobile user enters the country, the step of judging the entry information of the mobile user from the registration and online behavior information by the judging module includes the following sub-steps: regularly obtain the registration and online behavior information from the information collection module; Those who belong to the mobile network of this website and are in a roaming state are screened from the registration and online behavior information, so as to be identified as the users of this website's outgoing mobile; The trajectory information of the user, wherein the trajectory information records the countries and regions visited by the outgoing mobile user of this website; when the outgoing mobile user of this website generates signaling and communication on the mobile network of this website again, it is determined as inbound ; and generate the entry information according to the entry time and the trajectory information of the outgoing user on this website.

In the aforementioned method, the step of instructing the risk assessment module to analyze the epidemic assessment information according to the entry information includes the following sub-steps: screening recent inbound passengers from the entry information, wherein the inbound passengers include the extranet entry. Mobile users and outgoing mobile users of this website; estimate the epidemic risk score of an individual inbound passenger based on the alert rating score of the country and/or region where the inbound passenger roamed before entry and the stay time rating score in the roaming country and/or region; According to the epidemic risk score of the individual inbound passenger and the graded score of the inbound passenger's stay in a specific area after entry, estimate the epidemic risk score of the inbound passenger distribution area in the specific area; according to the epidemic risk score of the inbound passenger distribution area and the specific area The safety distance of crowds is calculated by estimating the overall epidemic risk score of the specific area. The safety distance of crowds is defined as the actual number of people in the specific area divided by the safety distance corresponding to the safety distance in the specific area. Saturation The obtained value; according to the overall epidemic risk score of the region and the population trend of the specific region, estimate the regional overall epidemic risk prediction score of the specific region, wherein the population trend corresponds to the predicted number of people in the specific region at each time point; and The epidemic assessment information is generated according to the epidemic risk score of the individual inbound passenger, the epidemic risk score of the distribution area of the inbound passenger, the overall epidemic risk score of the area, and the overall epidemic risk prediction score of the area.

The present invention further provides a computer-readable medium, applied in a computing device or a computer, and storing instructions for executing the above-mentioned method for epidemic assessment and user tracking.

To sum up, the system, method and computer-readable medium for epidemic assessment and user tracking of the present invention capture and analyze the registration and online behavior of mobile users from various sources (including this website and external networks). information, in order to immediately grasp the epidemic risk that may be brought by mobile users when entering the country, so it can avoid the restrictions on collecting information on this website and external websites, and can provide epidemic prevention units with past, present and future epidemic assessment information in each local area. For reference in formulating policies for epidemic control.

10: Information collection module

100: System

20: Judgment Module

21; The extranet enters the entry analysis unit

22: The entry and exit analysis unit of this website

30: Risk Rating Module

40:Database

41: Registration and Internet Behavior Information

42: Immigration Information

43: Epidemic Assessment Information

S201~S204: Steps

S211~S216: Steps

S301~S304: Steps

1 is a block diagram of a system for epidemic assessment and user tracking according to the present invention; FIG. 2A is a partial flow chart of the method for epidemic assessment and user tracking according to the present invention; A flow chart of partial steps of the method for epidemic assessment and user tracking; and FIG. 3 is a flow chart of partial steps of the method for epidemic assessment and user tracking of the present invention.

The following describes the technical content of the present invention through specific embodiments, and those skilled in the art can easily understand the advantages and effects of the present invention from the content disclosed in this specification. However, the present invention can also be implemented or applied by other different specific embodiments.

In the disclosure of FIG. 1 , the system 100 mainly includes an information collection module 10 , a judgment module 20 , a risk assessment module 30 and a database 40 . The above-mentioned components can run on the same hardware platform through the communication method of programming interface, or can be deployed and run on different hardware platforms through the communication method of the IP basic communication protocol. Further, the system 100 and various elements described above can be implemented in any suitable mobile network, including GSM (Global System for Mobile Communications), UMTS (Universal System for Mobile Telecommunications), LTE (Long Term Evolution Technology), or 5G mobile network, etc. , is not particularly limited in the present invention.

In addition, the system and its modules can be software, hardware or firmware; in the case of hardware, it can be a processing unit, processor, computer or server with data processing and computing capabilities; in the case of software or firmware , it may include instructions executable by a processing unit, processor, computer or server.

In one embodiment, the information collection module 10 is used to automatically and regularly capture mobile users' data on the local mobile network (herein also referred to as "this website") and/or the extranet mobile network (herein also referred to as "this website") The signaling and traffic information generated by the “external network”), and then parse out the registration and online behavior information of mobile users on the mobile network of this network and/or the mobile network of the external network. The registration and online behavior information includes : The time when the mobile user generates signaling and traffic information, the mobile user's door number (IMSI and MSISDN), the connection information of the mobile user on this network (including the mobile user on this network and the mobile user who roams on the other network) (eg, base station), connection information (eg, roaming country, roaming network, switch, base station) of mobile users on the external network (including local mobile users roaming to the external network and mobile users on the external network). In a further embodiment, the analysis results of the information collection module 10 can be stored in the database 40 (ie, the registration and online behavior information 41 ) for use by subsequent modules, or provided to the epidemic prevention unit for self-operation as needed Epidemic risk assessment (for example, providing a list of mobile users corresponding to registration and online behavior information).

In one embodiment, the judging module 20 is used to provide the entry information of the external network inbound (Inbound) and/or the local network outbound (Outbound) mobile user. Inbound mobile users referred to here refer to mobile users who roam through the Internet (for example, foreign travelers entering the local (country)); Mobile users who roam out to external networks (eg, local travelers going abroad). In a further embodiment, the judging module 20 analyzes the registration and online behavior information of the local mobile network and the external mobile network analyzed by the information collecting module 10 (for example, obtained from the information collecting module 10 or the database 40 ) Registration and online behavior information 41) are cross-compared to instantly determine whether the external network inbound (inbound) mobile user and/or this network outbound (outbound) mobile user has entered the local area, and correspond to the inbound external network entry. Inbound/Outbound mobile user trajectory information. In yet another embodiment, the above analysis result of the judgment module 20 can be further stored in the database 40 (ie, the entry information 42 ) for use by subsequent modules, or provided to the epidemic prevention unit for self-assessment of epidemic risk as needed Operations (eg, providing a mobile user list corresponding to the entry information 42).

In one embodiment, the risk rating module 30 is used to perform epidemic risk assessment and monitoring of individual mobile users and local regions according to the entry information 42 generated by the judgment module 20 . In a further embodiment, the risk assessment module 30 first estimates the epidemic risk score of individual inbound passengers according to the entry information of the mobile user when the mobile user enters the country, and then according to the activity status of the mobile user in various local areas during the incubation period of the epidemic after entry, in order The regional epidemic risk score, the regional overall epidemic risk score, and the regional overall epidemic risk prediction score of the distribution of inbound passengers in each region are estimated, and then the above-mentioned various scores are stored in the database 40 as epidemic assessment information 43 . Factors to be considered in the estimation of the above categories of scores may include the number of inbound tourists (i.e., inbound inbound/outbound mobile users) in a specific local area, the countries in which inbound tourists roamed prior to entry and/or The alert level of the region, the stay time of inbound passengers in a specific local area, the safety distance of the crowd in a specific local area, the trend of the crowd in a specific local area, etc., and the parameter values used for estimation can be adjusted according to the change of the incubation period of the epidemic.

The implementation of the system and method for epidemic assessment and user tracking of the present invention can be understood by referring to the direction of arrows connecting each element in FIG. 1 and the flow chart of steps in FIGS.

From the bottom-up sequence of arrows in FIG. 1 , as described above, the information collection module 10 automatically and regularly captures the information generated by the mobile user on the local mobile network and/or the external mobile network. Command and communication information, and then parse out the registration and online behavior information of mobile users on the mobile network of this network and/or the external mobile network. The registration and online behavior information includes: mobile users generate signaling and information Information time, mobile user's door number (IMSI and MSISDN), mobile users on this website (including this website connection information (such as base stations) of mobile users and mobile users roaming on external networks), connection information of mobile users on external networks (including local mobile users roaming to external networks and external mobile users) (For example, roaming country, roaming network, switch, base station), etc. The registration and surfing behavior information can be continuously stored in the database 40 (as shown by the component symbol 41 ), or provided to the epidemic prevention unit to perform the epidemic risk assessment operation (for example, the mobile user list corresponding to the trajectory information 41 is provided).

Continuing to refer to FIG. 1 , the judging module 20 obtains the registration and surfing behavior information 41 to analyze the entry information of inbound and/or outbound mobile users from the external network. At this time, the judging module 20 uses the external network inbound analysis unit 21 and the local network outbound inbound analysis unit 22 to analyze the external network inbound (inbound) mobile users and the local network outbound (outbound) mobile users respectively. Inbound information, its operation flow is shown in Figures 2A and 2B respectively.

First of all, as shown in Figure 2A, for inbound mobile users, since their registration on this website and online behavior information will only be generated when they communicate with this network after entering the local area, so when they enter ( Inbound) entry analysis unit 21 only needs to obtain registration and online behavior information 41 from information collection module 10 or database 40 at regular intervals (step S201 ), and select non-local mobile users from the registration and online behavior information 41 (ie, The registration and online behavior information of external network (inbound mobile users, and excluding commercial mobile users) (step S202) and analysis of the trajectory information of non-local mobile users (step S203), including entry time and affiliation Nationality, etc., the filtered and analyzed data can be output as the entry information of the external network inbound (inbound) mobile user (step S204 ) and stored in the database (as shown by the symbol 42 in FIG. 1 ).

Next, as shown in FIG. 2B , since the mobile network of this network can obtain the registration and online behavior information of its jurisdiction number before and during the departure at any time, the outbound and entry analysis unit 22 of this network is responsible for the outbound (outbound) The analysis of the entry information of the mobile user includes the following steps: Step S211 : obtain registration and online behavior information 41 from the information collection module 10 or the database 40 regularly; Step S212 : screen out the mobile users with the door number of this website from the registration and online behavior information 41 ; Step S212 : further screen out the mobile users who are identified as outgoing roaming from the registration and online behavior information 41 corresponding to the door number on this website User (for example, the door number of this website that has opened the international roaming service); Step S213: For the mobile user of this website who is identified as going out roaming, keep recording the track information, including the country and region (province, state, city) visited and so on; Step S214: when the mobile user of the outgoing roaming door number generates signaling and traffic on the local network again, it can be determined that the mobile user is inbound (ie, the outbound mobile user of the local network returning to China), and the step is entered S215, otherwise, continue to perform step S213 to record its track information; and step S215: when the mobile user of the outgoing roaming door number enters, generate the track information recorded in step S213 and the entry time of the mobile user to this network outbound (Outbound) The entry information of the mobile user is stored in the database 40 (as shown by the reference numeral 42 in FIG. 1 ).

Returning to FIG. 1, when the inbound entry analysis unit 21 of the external network and the outbound entry analysis unit 22 of the local network have completed generating entry information, the entry information can be provided to the epidemic prevention unit as needed to conduct epidemic risk assessment operations (for example, , providing the mobile user list corresponding to the inbound information 42 ), or providing it to the risk rating module 30 to conduct an epidemic risk assessment of inbound passengers and various local areas, the steps of which are shown in FIG. 3 .

Referring to FIG. 3 , the operation process of the risk rating module 30 includes the following steps: Step S301 : obtaining entry information 42 from the judgment module 20 or the database 40 at regular intervals; Step S302 : screening recent inbound passengers from the entry information 42 , including Step S303: Carry out epidemic risk assessment based on inbound passengers and their local distribution areas during the incubation period of the epidemic, including: Country and/or regional vigilance rating scores Estimate the epidemic risk score of individual inbound passengers based on the roaming country and/or region's stay time classification score; estimate the entry into the specific area based on the individual inbound passenger epidemic risk score and the inbound passenger's stay time classification score in a specific local area after entry The epidemic risk score of the passenger distribution area; considering the crowding degree of each local area, according to the epidemic risk score of the inbound passenger distribution area and dividing the actual number of people in the specific area by the number of people saturated at the safe distance in the specific area (for example, according to the epidemic prevention unit) The degree of crowd safety distance obtained from the defined personal safety distance) to estimate the overall epidemic risk score of the region; (Differential integrated moving average autoregressive model) to predict the crowd trend obtained), and estimate the overall epidemic risk prediction score of the region; and step S304: save the various scores calculated above as the epidemic assessment information 43 into the database 40, and view Epidemic assessment information43 needs to be provided to epidemic prevention units for reference to assist in the formulation of epidemic control policies.

Further, the epidemic risk scores of individual inbound passengers, the regional epidemic risk scores of inbound passengers distribution, the regional overall epidemic risk scores, and the regional overall epidemic risk prediction scores calculated in step S303 in FIG. 3 are expressed by the following mathematical formulas:

In the above mathematical formula, n represents each inbound passenger distributed in a specific local area; α represents the alert classification score of the country and/or region where the specific inbound passenger roams before entry; t represents the roaming score of the specific inbound passenger before entry. The grading score of the stay time of the country and/or region; T represents the grading score of the stay time of a specific inbound passenger in a specific local area; P represents the safety distance of the crowd in a specific local area (the actual number of people in the area ÷ the number of people in the area saturated with the safe distance) ); and Q represents the crowded area score in a specific local area (the number of people tested in the area ÷ the existing number of people in the area). In addition, the above-mentioned various scores are divided into a defined range from 0 to 100, and the higher the score (closer to 100), the more serious the epidemic risk.

In addition, the present invention also discloses a computer-readable medium, which is applied to a computing device or computer having a processor (eg, CPU, GPU, etc.) and/or memory, and stores instructions, and can utilize the computing device or computer. The computer executes the computer-readable medium through a processor and/or a memory, so as to execute the above-mentioned methods and steps when executing the computer-readable medium.

To sum up, the system, method and computer-readable medium for epidemic assessment and user tracking of the present invention capture and analyze the registration and online behavior of mobile users from various sources (including this website and external networks). information, in order to immediately grasp the possible epidemic risks brought by mobile users entering the local (country), so it can avoid the restrictions on collecting information on this website and external networks, and can provide epidemic prevention units in the past, present and future epidemics in various local areas Evaluate information for reference in the formulation of epidemic control policies.

The above embodiments are used to illustrate the principles and effects of the present invention, but not to limit the present invention. Anyone skilled in the art can, without departing from the spirit and scope of the present invention, Modifications are made to the above-described embodiments. Therefore, the scope of protection of the right of the present invention should be listed in the scope of the patent application described later.

10: Information collection module

100: System

20: Judgment Module

21: The extranet enters the entry analysis unit

22: The entry and exit analysis unit of this website

30: Risk Rating Module

40:Database

41: Registration and Internet Behavior Information

42: Immigration Information

43: Epidemic Assessment Information

Claims (9)

A system for epidemic assessment and user tracking, including: an information collection module, which is used to analyze the registration and online behavior information of mobile users from the mobile network of this network and the mobile network of the external network, and the mobile users include the external network. Entering mobile users and outgoing mobile users on this website; the judgment module is used to judge the entry information of the mobile user from the registration and online behavior information when the mobile user enters the country; and the risk rating module is used according to The entry information analyzes the epidemic assessment information, wherein, the risk assessment module analyzes the epidemic assessment information according to the entry information. Mobile users and outgoing mobile users of this website; estimate the epidemic risk score of an individual inbound passenger based on the alert rating score of the country and/or region where the inbound passenger roamed before entry and the stay time rating score in the roaming country and/or region; According to the epidemic risk score of the individual inbound passenger and the graded score of the inbound passenger's stay in a specific area after entry, estimate the epidemic risk score of the inbound passenger distribution area in the specific area; according to the epidemic risk score of the inbound passenger distribution area and the specific area The safety distance of crowds is calculated by estimating the overall epidemic risk score of the specific area. The safety distance of crowds is defined as the actual number of people in the specific area divided by the safety distance corresponding to the safety distance in the specific area. Saturation the value obtained; According to the overall epidemic risk score of the area and the crowd trend of the specific area, estimate the overall epidemic risk prediction score of the specific area, wherein the crowd trend corresponds to the predicted number of people in the specific area at each time point; and according to the individual The epidemic risk score of the inbound passengers, the epidemic risk score of the distribution area of the inbound passengers, the overall epidemic risk score of the area, and the overall epidemic risk prediction score of the area generate the epidemic assessment information. The system according to claim 1, wherein the registration and online behavior information includes the time when the mobile user generates signaling and communication information, the mobile user's gate number, and the mobile user's mobile network on the mobile network. Connection information, and the connection information of the mobile user on the external mobile network. The system according to claim 1, wherein the mobile user entering the external network is defined as a roamer who enters the mobile network of the local network from the mobile network of the external network, and wherein, when the mobile user is the mobile user entering the external network When the mobile user enters the country, the judging module determines the entry information of the mobile user from the registration and online behavior information, including: obtaining the registration and online behavior information from the information collection module regularly; Screen out the door numbers that do not belong to the mobile network of this website from the registration and online behavior information, and identify them as the mobile users entering the external network; analyze the trajectory information of the mobile users entering the external network, where the trajectory information is Record the entry time and nationality of the mobile user entering the external network; and generate the entry information according to the mobile user entering the external network and the corresponding trajectory information. The system according to claim 1, wherein the outgoing mobile user of the home network is defined as a roamer who travels from the home mobile network to the external mobile network, and wherein, when the mobile user When the user is an outgoing mobile user of this website, when the mobile user enters the country, the method for the judgment module to judge the entry information of the mobile user from the registration and online behavior information includes: obtaining the information from the information collection module regularly. Registration and online behavior information; screen out the door number belonging to the mobile network of this website and in roaming state from the registration and online behavior information, and identify them as the outgoing users of this website; record the outgoing actions of this website User's track information, which records the countries and regions visited by the out-of-home user of this website; when the out-of-office user of this website generates signaling and traffic on the mobile network of this website again, it is determined to be inbound ; and generate the entry information according to the entry time and the trajectory information of the outgoing user on this website. A method for epidemic assessment and user tracking, comprising: enabling an information collection module to analyze the registration and online behavior information of mobile users from the mobile network of the local network and the mobile network of the extranet, wherein the mobile users include access to the extranet Mobile users and outgoing mobile users on this website; let the judgment module judge the mobile user's entry information from the registration and online behavior information when the mobile user enters the country; and let the risk rating module analyze the epidemic assessment information based on the entry information , wherein the step of instructing the risk assessment module to analyze the epidemic assessment information according to the entry information includes the following sub-steps: screening recent inbound passengers from the entry information, wherein the inbound passengers include the external network entry mobile users and The outgoing user of this website; according to the alert rating score of the country and/or region where the inbound passenger roamed before entering the country and the rating score of the stay time in the roaming country and/or region, estimate the epidemic risk score of the individual inbound passenger; According to the epidemic risk score of the individual inbound passenger and the graded score of the inbound passenger's stay in a specific area after entry, estimate the epidemic risk score of the inbound passenger distribution area in the specific area; according to the epidemic risk score of the inbound passenger distribution area and the specific area The safety distance of crowds is calculated by estimating the overall epidemic risk score of the specific area. The safety distance of crowds is defined as the actual number of people in the specific area divided by the safety distance corresponding to the safety distance in the specific area. Saturation The obtained value; according to the overall epidemic risk score of the region and the population trend of the specific region, estimate the regional overall epidemic risk prediction score of the specific region, wherein the population trend corresponds to the predicted number of people in the specific region at each time point; and The epidemic assessment information is generated according to the epidemic risk score of the individual inbound passenger, the epidemic risk score of the distribution area of the inbound passenger, the overall epidemic risk score of the area, and the overall epidemic risk prediction score of the area. The method according to claim 5, wherein the registration and online behavior information includes the time when the mobile user generates signaling and communication information, the mobile user's gate number, and the mobile user's current status on the local mobile network. Connection information, and the connection information of the mobile user on the external mobile network. The method of claim 5, wherein the mobile user entering the external network is defined as a roamer who enters the local mobile network from the mobile network of the external network, and wherein, when the mobile user is the mobile user entering the external network When the mobile user enters the country, the step of judging the entry information of the mobile user from the registration and online behavior information by the order judgment module includes the following sub-steps: obtain the registration and online behavior from the information collection module regularly. News; Screen those who do not belong to the mobile network of the mobile network from the registration and online behavior information, so as to identify them as mobile users entering the external network; analyze the trajectory information of the mobile users entering the mobile network from the external network, wherein the trajectory information It records the entry time and nationality of the mobile user entering the mobile network from the external network; and generates the entry information according to the mobile user entering the mobile network from the external network and the corresponding trajectory information. The method according to claim 5, wherein the home-network outgoing mobile user is defined as a roamer who travels from the home-network mobile network to the external-network mobile network, and wherein, when the mobile user is outgoing for the home-network When the mobile user is a mobile user, when the mobile user enters the country, the step of judging the mobile user's entry information from the registration and online behavior information includes the following sub-steps; periodically obtain the registration and information from the information collection module. Internet behavior information; screen out the door numbers belonging to the mobile network of this website and in roaming status from the registration and online behavior information, and identify them as the outgoing users of this website; record the trajectory of the outgoing mobile users of this website information, in which the track information records the countries and regions visited by the outgoing mobile user of this website; when the outgoing mobile user of this website generates signaling and communication on the mobile network of this website again, it is determined to be inbound; and The entry time and the trajectory information of the outgoing user of this website generate the entry information. A computer-readable medium, applied to a computing device or computer, storing instructions for executing the method for epidemic assessment and user tracking as described in any one of claims 5 to 8.

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