CN114417239A - Strategy migration method and device for epidemic situation prevention and control under experience shortage - Google Patents

Strategy migration method and device for epidemic situation prevention and control under experience shortage Download PDF

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Publication number
CN114417239A
CN114417239A CN202210314902.7A CN202210314902A CN114417239A CN 114417239 A CN114417239 A CN 114417239A CN 202210314902 A CN202210314902 A CN 202210314902A CN 114417239 A CN114417239 A CN 114417239A
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target area
policy
epidemic
similarity
prevention
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邓青
萧星宇
曹雪
刘凯
张辉
黄丽达
于峰
蒋慧灵
周亮
周正青
牛艳
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Tsinghua University
Shanghai Jiaotong University
University of Science and Technology Beijing USTB
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Shanghai Jiaotong University
University of Science and Technology Beijing USTB
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0637—Strategic management or analysis, e.g. setting a goal or target of an organisation; Planning actions based on goals; Analysis or evaluation of effectiveness of goals
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
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    • G16H50/80—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for detecting, monitoring or modelling epidemics or pandemics, e.g. flu

Abstract

The invention relates to the technical field of epidemic situation prevention and control, in particular to a strategy migration method and a strategy migration device for epidemic situation prevention and control under experience shortage, wherein the method comprises the following steps: determining data of epidemic situation prevention and control related policy issuing dimensions, data of public basic dimensions and data of policy implementation or execution effect dimensions of a target area; defining an epidemic situation prevention and control related policy issuing dimension vector, a public basis dimension vector and a policy implementation or execution effect dimension vector; constructing a similarity evaluation matrix of the target area; according to a cosine similarity algorithm, calculating similarity values between a target region and other regions through a similarity evaluation matrix of the target region and similarity evaluation matrices of other regions, wherein the other regions refer to countries or regions with epidemic prevention and control experience; and determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas. By adopting the method and the system, the epidemic prevention strategy can be rapidly acquired for the countries or regions with short experience.

Description

Strategy migration method and device for epidemic situation prevention and control under experience shortage
Technical Field
The invention relates to the technical field of epidemic situation prevention and control, in particular to a strategy migration method and a strategy migration device for epidemic situation prevention and control under experience shortage.
Background
With the emergence of new crown variant strains, the new crowns have the characteristics of stronger transmission, easy occurrence of low-age people and the like. And often in some countries and regions where epidemic situations are newly discovered, the lack of experience in the face of the epidemic situation will lead to the lack of relevant support of the government in the process of strategy formulation. Meanwhile, the strong spreading of the new canopy forms a large amount of epidemic situation handling case databases. Therefore, a strategy migration and decision support method and system for epidemic situation prevention and control under the condition of experience shortage are needed in the present stage.
Disclosure of Invention
The embodiment of the invention provides a strategy migration method and device for epidemic prevention and control under experience shortage. The technical scheme is as follows:
in one aspect, a strategy migration method for epidemic prevention and control under experience shortage is provided, and the method is implemented by electronic equipment, and comprises the following steps:
determining data of epidemic situation prevention and control related policy issuing dimensions, data of public basic dimensions and data of policy implementation or execution effect dimensions of a target area; wherein the target area is a country or a region with epidemic situation prevention and control experience shortage;
defining an epidemic situation prevention and control related policy issuing dimension vector according to the data of the epidemic situation prevention and control related policy issuing dimension of the target area, defining a public basic dimension vector according to the data of the public basic dimension, and defining a policy implementation or execution effect dimension vector according to the data of the policy implementation or execution effect dimension;
constructing a similarity evaluation matrix of the target area according to the epidemic situation prevention and control related policy issuing dimension vector, the public basic dimension vector and the policy implementation or execution effect dimension vector;
according to a cosine similarity algorithm, calculating similarity values between the target region and other regions through a similarity evaluation matrix of the target region and similarity evaluation matrices of other regions, wherein the other regions refer to countries or regions with epidemic prevention and control experience;
and determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas.
Optionally, the determining data of the epidemic situation prevention and control related policy issuing dimension, the data of the public basic dimension, and the data of the policy implementation or execution effect dimension of the target area includes:
determining data of dimension issued by relevant policies of epidemic prevention and control in the target area according to the Oxford index evaluation result;
determining data of the basic dimensionality of the people according to the low age population proportion, the education degree, the government trust degree and the average human GDP;
and determining data of policy implementation or execution effect dimensions according to the vaccination rate, million population cases, million population mortality and epidemic situation spread.
Optionally, the data of the epidemic situation prevention and control related policy issuing dimension of the target area includes an oxford closing and containment measure policy index, an oxford economic response policy index and an oxford public health system policy index;
the data for determining the dimension issued by the epidemic situation prevention and control related policy of the target area according to the oxford index evaluation result comprises the following steps:
calculating an oxford index evaluation result according to the formula (1):
Figure 13784DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 323543DEST_PATH_IMAGE002
the maximum scale which can be obtained by each index under the Oxford policy index is represented;
Figure 456584DEST_PATH_IMAGE003
representing the value of each index;
Figure 509990DEST_PATH_IMAGE004
indicating whether a flag variable exists;
Figure 661355DEST_PATH_IMAGE005
representing the value of a flag variable;
Figure 142015DEST_PATH_IMAGE006
representing the results of oxford index evaluation;
Figure 496773DEST_PATH_IMAGE007
all obtained by inquiring in an oxford public database;
calculating an oxford policy index for containment and containment measures according to formula (2)
Figure 353870DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 861206DEST_PATH_IMAGE009
And Oxford policy index for public health System
Figure 512767DEST_PATH_IMAGE010
；
Figure 620401DEST_PATH_IMAGE011
Wherein the content of the first and second substances,
Figure 15610DEST_PATH_IMAGE012
has a value range of
Figure 875987DEST_PATH_IMAGE013
When is coming into contact with
Figure 26346DEST_PATH_IMAGE014
When the temperature of the water is higher than the set temperature,
Figure 106429DEST_PATH_IMAGE015
expresses an Oxford policy index for containment and containment measures when
Figure 305329DEST_PATH_IMAGE016
When the temperature of the water is higher than the set temperature,
Figure 770945DEST_PATH_IMAGE015
expresses the economic response Oxford policy index
Figure 341473DEST_PATH_IMAGE017
When the temperature of the water is higher than the set temperature,
Figure 95802DEST_PATH_IMAGE015
represents the public health system oxford policy index;
Figure 895131DEST_PATH_IMAGE018
is an index of
Figure 418516DEST_PATH_IMAGE019
The number of indexes of (1);
Figure 661410DEST_PATH_IMAGE020
representing the weight of each index.
Optionally, the method for calculating the spread range of the epidemic situation includes:
calculating the epidemic spread range by the formula (3):
Figure 637456DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 240476DEST_PATH_IMAGE022
the total area of the target region is represented,
Figure 883947DEST_PATH_IMAGE023
the number of the epidemic areas included in the target area is shown,
Figure 530697DEST_PATH_IMAGE024
respectively representing the areas of different epidemic areas.
Optionally, the defining, according to the data of the epidemic situation prevention and control related policy issuing dimension of the target area, the epidemic situation prevention and control related policy issuing dimension vector includes:
oxford policy index based on containment and containment measures
Figure 259619DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 400750DEST_PATH_IMAGE025
And Oxford policy index for public health System
Figure 711777DEST_PATH_IMAGE026
To control and prevent epidemic diseasesPolicy-related promulgated dimension vector
Figure 280162DEST_PATH_IMAGE027
Defined according to equation (4):
Figure 496379DEST_PATH_IMAGE028
according to the proportion of the population of the young
Figure 690469DEST_PATH_IMAGE029
Degree of education
Figure 42953DEST_PATH_IMAGE030
Degree of trust to government
Figure 47818DEST_PATH_IMAGE031
And all people
Figure 485753DEST_PATH_IMAGE032
The basic dimension vector of the people
Figure 719419DEST_PATH_IMAGE033
Defined according to equation (5):
Figure 191989DEST_PATH_IMAGE034
according to the vaccination rate
Figure 102176DEST_PATH_IMAGE035
Million population cases
Figure 338991DEST_PATH_IMAGE036
Million people mortality
Figure 625616DEST_PATH_IMAGE037
And the range of epidemic situation
Figure 765742DEST_PATH_IMAGE038
Dimension vector for policy enforcement or enforcement effect
Figure 50092DEST_PATH_IMAGE039
Defined according to equation (6):
Figure 524936DEST_PATH_IMAGE040
optionally, the constructing a similarity evaluation matrix of the target region includes:
evaluating the similarity of the target area by a matrix
Figure 287356DEST_PATH_IMAGE041
Defined according to equation (7):
Figure 780523DEST_PATH_IMAGE042
optionally, the calculating a similarity value between the target region and another region according to a cosine similarity algorithm by using the similarity evaluation matrix of the target region and the similarity evaluation matrices of the other regions includes:
calculating the similarity value between the target area and other areas according to a formula (8) according to a cosine similarity calculation method and the similarity evaluation matrix of the target area and the similarity evaluation matrix of other areas:
Figure 235775DEST_PATH_IMAGE044
wherein the content of the first and second substances,
Figure 197915DEST_PATH_IMAGE045
a similarity evaluation matrix representing the target area,
Figure 764025DEST_PATH_IMAGE046
a similarity evaluation matrix representing the other regions,
Figure 800114DEST_PATH_IMAGE047
representing a vector
Figure 973738DEST_PATH_IMAGE045
The respective components of (a) to (b),
Figure 688753DEST_PATH_IMAGE048
representing a vector
Figure 792975DEST_PATH_IMAGE046
The respective components of (a) to (b),
Figure 260734DEST_PATH_IMAGE049
representing a vector
Figure 120106DEST_PATH_IMAGE050
Number of components of, said vector
Figure 728942DEST_PATH_IMAGE045
Number of component vectors and vector
Figure 715484DEST_PATH_IMAGE046
The number of component parts of (a) is equal.
Optionally, the determining an epidemic prevention and control migration strategy of the target area according to the similarity value between the target area and another area includes:
according to the similarity values between the target area and other areas, classifying the similarity between the target area and other areas, wherein the grades comprise very similar, relatively similar, generally similar and dissimilar;
and classifying according to the similarity between the target area and other areas, determining an epidemic prevention and control strategy of the area adapted to the target area, and determining the epidemic prevention and control strategy of the area adapted to the target area as the epidemic prevention and control migration strategy of the target area.
On the other hand, the device is applied to the strategy migration method for epidemic situation prevention and control under the condition of experience shortage, and comprises the following steps:
the determining module 210 is configured to determine data of an epidemic situation prevention and control related policy issuing dimension, data of a public basic dimension, and data of a policy implementation or execution effect dimension of the target area; wherein the target area is a country or a region with epidemic situation prevention and control experience shortage;
the defining module 220 is configured to define an epidemic situation prevention and control related policy issuing dimension vector according to the data of the epidemic situation prevention and control related policy issuing dimension of the target area, define a public basic dimension vector according to the data of the public basic dimension, and define a policy implementation or execution effect dimension vector according to the data of the policy implementation or execution effect dimension;
the construction module 230 is configured to construct a similarity evaluation matrix of the target area according to the epidemic situation prevention and control related policy issuing dimension vector, the public basic dimension vector, and the policy implementation or execution effect dimension vector;
a calculating module 240, configured to calculate, according to a cosine similarity algorithm, a similarity value between the target region and another region according to a similarity evaluation matrix of the target region and a similarity evaluation matrix of the other region, where the other region refers to a country or a region with epidemic situation prevention and control experience;
and the migration module 250 is configured to determine an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and another area.
Optionally, the determining module 210 is configured to:
determining data of dimension issued by relevant policies of epidemic prevention and control in the target area according to the Oxford index evaluation result;
determining data of the basic dimensionality of the people according to the low age population proportion, the education degree, the government trust degree and the average human GDP;
and determining data of policy implementation or execution effect dimensions according to the vaccination rate, million population cases, million population mortality and epidemic situation spread.
Optionally, the data of the epidemic situation prevention and control related policy issuing dimension of the target area includes an oxford closing and containment measure policy index, an oxford economic response policy index and an oxford public health system policy index;
the determining module 210 is configured to:
calculating an oxford index evaluation result according to the formula (1):
Figure 726165DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 490859DEST_PATH_IMAGE002
the maximum scale which can be obtained by each index under the Oxford policy index is represented;
Figure 586991DEST_PATH_IMAGE003
representing the value of each index;
Figure 610179DEST_PATH_IMAGE004
indicating whether a flag variable exists;
Figure 803263DEST_PATH_IMAGE005
representing the value of a flag variable;
Figure 489591DEST_PATH_IMAGE006
representing the results of oxford index evaluation;
Figure 400915DEST_PATH_IMAGE007
all obtained by inquiring in an oxford public database;
calculating an oxford policy index for containment and containment measures according to formula (2)
Figure 696636DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 681909DEST_PATH_IMAGE025
And Oxford policy index for public health System
Figure 319564DEST_PATH_IMAGE026
；
Figure 390288DEST_PATH_IMAGE011
Wherein the content of the first and second substances,
Figure 256744DEST_PATH_IMAGE012
has a value range of
Figure 96524DEST_PATH_IMAGE013
When is coming into contact with
Figure 373922DEST_PATH_IMAGE014
When the temperature of the water is higher than the set temperature,
Figure 666363DEST_PATH_IMAGE015
expresses an Oxford policy index for containment and containment measures when
Figure 523460DEST_PATH_IMAGE016
When the temperature of the water is higher than the set temperature,
Figure 818348DEST_PATH_IMAGE015
expresses the economic response Oxford policy index
Figure 266647DEST_PATH_IMAGE017
When the temperature of the water is higher than the set temperature,
Figure 452909DEST_PATH_IMAGE015
represents the public health system oxford policy index;
Figure 894123DEST_PATH_IMAGE018
is an index of
Figure 442916DEST_PATH_IMAGE019
The number of indexes of (1);
Figure 858854DEST_PATH_IMAGE020
representing the weight of each index.
Optionally, the determining module 210 is configured to:
calculating the epidemic spread range by the formula (3):
Figure 125887DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 606678DEST_PATH_IMAGE022
the total area of the target region is represented,
Figure 275557DEST_PATH_IMAGE023
the number of the epidemic areas included in the target area is shown,
Figure 596817DEST_PATH_IMAGE024
respectively representing the areas of different epidemic areas.
Optionally, the defining module 220 is configured to:
oxford policy index based on containment and containment measures
Figure 85567DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 88158DEST_PATH_IMAGE025
And Oxford policy index for public health System
Figure 188707DEST_PATH_IMAGE026
Issuing dimension vector for relevant policy of epidemic prevention and control
Figure 352972DEST_PATH_IMAGE027
Defined according to equation (4):
Figure 391336DEST_PATH_IMAGE028
according to the proportion of the population of the young
Figure 932038DEST_PATH_IMAGE029
Degree of education
Figure 122979DEST_PATH_IMAGE030
Degree of trust to government
Figure 723725DEST_PATH_IMAGE031
And all people
Figure 187067DEST_PATH_IMAGE032
The basic dimension vector of the people
Figure 593778DEST_PATH_IMAGE033
Defined according to equation (5):
Figure 91755DEST_PATH_IMAGE034
according to the vaccination rate
Figure 909407DEST_PATH_IMAGE035
Million population cases
Figure 125625DEST_PATH_IMAGE036
Million people mortality
Figure 8131DEST_PATH_IMAGE037
And the range of epidemic situation
Figure 688511DEST_PATH_IMAGE038
Dimension vector for policy enforcement or enforcement effect
Figure 365480DEST_PATH_IMAGE052
Defined according to equation (6):
Figure 350884DEST_PATH_IMAGE040
optionally, the building module 230 is configured to:
evaluating the similarity of the target area by a matrix
Figure 37081DEST_PATH_IMAGE041
Defined according to equation (7):
Figure 244071DEST_PATH_IMAGE042
optionally, the calculating module 240 is configured to:
calculating the similarity value between the target area and other areas according to a formula (8) according to a cosine similarity calculation method and the similarity evaluation matrix of the target area and the similarity evaluation matrix of other areas:
Figure 419837DEST_PATH_IMAGE054
wherein the content of the first and second substances,
Figure 345068DEST_PATH_IMAGE045
a similarity evaluation matrix representing the target area,
Figure 569376DEST_PATH_IMAGE046
a similarity evaluation matrix representing the other regions,
Figure 208037DEST_PATH_IMAGE047
representing a vector
Figure 492387DEST_PATH_IMAGE045
The respective components of (a) to (b),
Figure 701652DEST_PATH_IMAGE048
representing a vector
Figure 729651DEST_PATH_IMAGE046
The respective components of (a) to (b),
Figure 911233DEST_PATH_IMAGE049
representing a vector
Figure 179535DEST_PATH_IMAGE050
Number of components of, said vector
Figure 79358DEST_PATH_IMAGE045
Number of component vectors and vector
Figure 707785DEST_PATH_IMAGE046
The number of component parts of (a) is equal.
Optionally, the migration module 250 is configured to:
according to the similarity values between the target area and other areas, classifying the similarity between the target area and other areas, wherein the grades comprise very similar, relatively similar, generally similar and dissimilar;
and classifying according to the similarity between the target area and other areas, determining an epidemic prevention and control strategy of the area adapted to the target area, and determining the epidemic prevention and control strategy of the area adapted to the target area as the epidemic prevention and control migration strategy of the target area.
In another aspect, an electronic device is provided, which includes a processor and a memory, where the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the policy migration method for epidemic prevention and control under the experience shortage condition.
In another aspect, a computer-readable storage medium is provided, where at least one instruction is stored in the storage medium, and the at least one instruction is loaded and executed by a processor to implement the above strategy migration method for epidemic prevention and control in case of experience shortage.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
in the embodiment of the invention, the data of epidemic situation prevention and control related policy issuing dimension, the data of people basic dimension and the data of policy implementation or execution effect dimension of a target area are determined; defining epidemic situation prevention and control related policy issuing dimension vectors according to the data of the epidemic situation prevention and control related policy issuing dimensions of the target area, defining people basic dimension vectors according to the data of the people basic dimensions, and defining policy implementation or execution effect dimension vectors according to the data of the policy implementation or execution effect dimensions; constructing a similarity evaluation matrix of a target area according to an epidemic situation prevention and control related policy issuing dimension vector, a public basic dimension vector and a policy implementation or execution effect dimension vector; according to a cosine similarity algorithm, calculating similarity values between a target region and other regions through a similarity evaluation matrix of the target region and similarity evaluation matrices of other regions, wherein the other regions refer to countries or regions with epidemic prevention and control experience; and determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas. By adopting the invention, a more appropriate epidemic prevention strategy can be quickly obtained for the countries or regions lacking epidemic prevention experience, and the epidemic prevention efficiency and accuracy are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a strategy migration method for epidemic prevention and control under experience shortage according to an embodiment of the present invention;
fig. 2 is a block diagram of a policy migration apparatus for epidemic situation prevention and control under experience shortage according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments.
The embodiment of the invention provides a strategy migration method for epidemic situation prevention and control under experience shortage, which provides decision support for national or urban scientific epidemic prevention of a new epidemic situation with experience deficiency based on a big data technology and the development dynamics of multidimensional analysis of the epidemic situation. The method can be realized by a strategy migration system for epidemic prevention and control under the condition of experience shortage, and the strategy migration system for epidemic prevention and control under the condition of experience shortage can be a terminal or a server. As shown in fig. 1, a flow chart of a strategy migration method for epidemic situation prevention and control under experience shortage may include the following steps:
s1, determining data of epidemic situation prevention and control related policy issuing dimensions, data of people basic dimensions and data of policy implementation or execution effect dimensions of the target area.
Wherein, the target area is a country or a region with epidemic situation prevention and control experience shortage.
In a feasible implementation manner, the required similarity evaluation index is determined based on three-dimensional analysis of an epidemic prevention and control related policy issuing dimension, a public basic dimension and a policy implementation or execution effect dimension of a country or a region (i.e., a target region) where experience of epidemic prevention and control is short, and a specific index system is shown in table 1 below:
table 1
Figure 743874DEST_PATH_IMAGE056
The specific execution steps may include the following steps S11-S13:
and S11, determining data of the dimension issued by the epidemic prevention and control related policy of the target area according to the oxford index evaluation result.
The data of the epidemic situation prevention and control related policy issuing dimension of the target area comprise an oxford closing and restraining measure policy index, an oxford economic response policy index and an oxford public health system policy index.
In a possible embodiment, the specific implementation of S11 may include the following steps S111-S112:
s111, calculating an oxford index evaluation result according to a formula (1):
Figure 370028DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 803152DEST_PATH_IMAGE002
the maximum scale which can be obtained by each index under the Oxford policy index is represented;
Figure 172953DEST_PATH_IMAGE003
representing the value of each index;
Figure 391445DEST_PATH_IMAGE004
indicating whether a flag variable exists;
Figure 188500DEST_PATH_IMAGE005
representing the value of a flag variable;
Figure 610385DEST_PATH_IMAGE006
representing the results of oxford index evaluation;
Figure 518298DEST_PATH_IMAGE007
are all obtained by inquiring in an oxford public database,
Figure 591296DEST_PATH_IMAGE057
and
Figure 559252DEST_PATH_IMAGE058
the order of each index under the oxford policy index is shown separately.
In a feasible implementation mode, the oxford policy index is a multidimensional index model of closing and restraining measures, economic response and public health systems, and specific indexes are shown in table 2.
TABLE 2
Figure 655384DEST_PATH_IMAGE060
As the oxford index evaluation results are excessive, the rational weight assignment is carried out by adopting an analytic hierarchy process and consistency inspection to obtain sealing and restraining measuresTaujin policy index
Figure 678573DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 809340DEST_PATH_IMAGE025
Oxford policy index for public health system
Figure 10514DEST_PATH_IMAGE026
。
S112, calculating the oxford policy index of the sealing and restraining measures according to the formula (2)
Figure 328363DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 843658DEST_PATH_IMAGE061
And Oxford policy index for public health System
Figure 641981DEST_PATH_IMAGE062
；
Figure 951739DEST_PATH_IMAGE011
Wherein the content of the first and second substances,
Figure 819201DEST_PATH_IMAGE012
has a value range of
Figure 872608DEST_PATH_IMAGE013
When is coming into contact with
Figure 712388DEST_PATH_IMAGE014
When the temperature of the water is higher than the set temperature,
Figure 504632DEST_PATH_IMAGE015
expresses an Oxford policy index for containment and containment measures when
Figure 62653DEST_PATH_IMAGE016
When the temperature of the water is higher than the set temperature,
Figure 716488DEST_PATH_IMAGE015
expresses the economic response Oxford policy index
Figure 676354DEST_PATH_IMAGE017
When the temperature of the water is higher than the set temperature,
Figure 327915DEST_PATH_IMAGE015
represents the public health system oxford policy index;
Figure 920701DEST_PATH_IMAGE018
is an index of
Figure 315911DEST_PATH_IMAGE019
The number of indexes of (1);
Figure 192600DEST_PATH_IMAGE020
a weight representing each index;
Figure 15062DEST_PATH_IMAGE019
the result obtained by the formula (1).
For example, the basic data of the similarity evaluation matrix can be obtained based on the data layer, and the required basic data can be obtained from the data layer description database. For example, the country A, B is selected as the similarity evaluation research object, where the country a is a country (i.e., other region) where the epidemic has occurred or is occurring, and the country B is a country (i.e., target region) where the epidemic is newly found, and the oxford policy value of the country a can be obtained from the oxford public database as shown in table 3.
Table 3
Figure 282095DEST_PATH_IMAGE064
Wherein the content of the first and second substances,
Figure 792580DEST_PATH_IMAGE065
is the Oxford policy index. To be provided with
Figure 461459DEST_PATH_IMAGE066
For example, it
Figure 517140DEST_PATH_IMAGE002
And 3, it may take a value of 0, 1, 2, or 3, where 0 means that no action has been taken, 1 means that some action has been taken, 2 means that action has been taken in the relevant field, and 3 means that all action has been taken. Taking 2 as an example here, i.e.
Figure 271469DEST_PATH_IMAGE067
. Since the measures are carried out in the whole world, the measures are not limited to the specific embodiments
Figure 274060DEST_PATH_IMAGE068
Existence of a flag variable, and its value
Figure 610495DEST_PATH_IMAGE069
. By substituting the above four values into the above formula, the correlation between
Figure 774760DEST_PATH_IMAGE070
Is/are as follows
Figure 78702DEST_PATH_IMAGE071
。
State of the country
Figure 619405DEST_PATH_IMAGE072
The manner of acquiring the oxford public database data is the same as that of the state a.
And S12, determining data of the basic dimensionality of the people according to the low age population proportion, the education degree, the government trust degree and the average population GDP.
In one possible implementation, the data of the low age population proportion, the education level, the government trust level and the human-to-human GDP can be obtained from a network epidemic situation information database or an epidemic situation risk case database.
And S13, determining data of policy implementation or execution effect dimensions according to the vaccination rate, million population cases, million population mortality and epidemic situation spread.
In a feasible implementation mode, the vaccination rate, million population cases and million population mortality can be obtained through a network epidemic situation information database and an epidemic situation risk case database, and the epidemic situation coverage can be calculated through the following methods:
calculating the epidemic spread range by the formula (3):
Figure 997297DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 909627DEST_PATH_IMAGE022
the total area of the target region is represented,
Figure 372969DEST_PATH_IMAGE023
the number of the epidemic areas included in the target area is shown,
Figure 779680DEST_PATH_IMAGE024
respectively representing the areas of different epidemic areas.
S2, defining the dimension vector issued by the epidemic prevention and control related policy according to the data of the issue prevention and control related policy issued dimension of the target area, defining the basic dimension vector of the people according to the data of the basic dimension of the people, and defining the dimension vector of the policy implementation or execution effect according to the data of the policy implementation or execution effect dimension.
In one possible embodiment, the specific steps of defining the vector may include the following steps S21-S23:
s21, oxford policy index according to sealing and containment measures
Figure 12078DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 783725DEST_PATH_IMAGE009
And Oxford policy index for public health System
Figure 547412DEST_PATH_IMAGE010
Issuing dimension vector for relevant policy of epidemic prevention and control
Figure 429918DEST_PATH_IMAGE027
Defined according to equation (4):
Figure 844719DEST_PATH_IMAGE028
s22, according to the proportion of the population with low age
Figure 787267DEST_PATH_IMAGE029
Degree of education
Figure 536786DEST_PATH_IMAGE030
Degree of trust to government
Figure 222982DEST_PATH_IMAGE031
And all people
Figure 429973DEST_PATH_IMAGE032
The basic dimension vector of the people
Figure 605739DEST_PATH_IMAGE033
Defined according to equation (5):
Figure 530970DEST_PATH_IMAGE073
s23, according to vaccination rate
Figure 568327DEST_PATH_IMAGE035
Million population cases
Figure 895403DEST_PATH_IMAGE036
Million people mortality
Figure 914175DEST_PATH_IMAGE037
And the range of epidemic situation
Figure 389018DEST_PATH_IMAGE038
Dimension vector for policy enforcement or enforcement effect
Figure 417017DEST_PATH_IMAGE074
Defined according to equation (6):
Figure 598600DEST_PATH_IMAGE040
continuing with the example of step S112, the country is obtained from the epidemic situation information database and the epidemic situation risk case database
Figure 365436DEST_PATH_IMAGE075
The people basic dimension vector
Figure 999680DEST_PATH_IMAGE076
Country of China
Figure 628108DEST_PATH_IMAGE077
Is composed of
Figure 929776DEST_PATH_IMAGE078
China (China)
Figure 555929DEST_PATH_IMAGE075
Policy enforcement or enforcement effect dimension vector of
Figure 490518DEST_PATH_IMAGE079
Country of China
Figure 860320DEST_PATH_IMAGE077
Is composed of
Figure 78812DEST_PATH_IMAGE080
。
Obtaining an evaluation value of a similarity evaluation matrix based on an Oxford index open algorithm and a weighted solution, and calculating to obtain the state
Figure 875866DEST_PATH_IMAGE075
Issuing dimension vector of epidemic situation prevention and control related policy
Figure 484702DEST_PATH_IMAGE081
Country of China
Figure 704200DEST_PATH_IMAGE077
Is composed of
Figure 777198DEST_PATH_IMAGE082
。
S3, constructing a similarity evaluation matrix of the target area according to the epidemic situation prevention and control related policy issuing dimension vector, the public basic dimension vector and the policy implementation or execution effect dimension vector.
Alternatively, the method for constructing the similarity evaluation matrix of the target region may be as follows:
evaluating the similarity of the target area to form a matrix
Figure 745154DEST_PATH_IMAGE041
Defined according to equation (7):
Figure 654335DEST_PATH_IMAGE083
continuing the example according to the above-mentioned examples of step S113 and step S23, the country
Figure 365939DEST_PATH_IMAGE075
Similarity evaluation matrix of
Figure 231127DEST_PATH_IMAGE084
Country of China
Figure 432301DEST_PATH_IMAGE077
Is evaluated by the evaluation matrix
Figure 15729DEST_PATH_IMAGE085
。
And S4, calculating the similarity value between the target area and other areas according to the cosine similarity calculation method and the similarity evaluation matrix of the target area and the similarity evaluation matrix of other areas.
Wherein, other areas refer to countries or regions with epidemic prevention and control experience.
In one possible embodiment, the similarity value between the target region and the other region is calculated according to equation (8) based on the cosine similarity algorithm and on the similarity evaluation matrix of the target region and the similarity evaluation matrices of the other regions:
Figure 842609DEST_PATH_IMAGE087
wherein the content of the first and second substances,
Figure 562303DEST_PATH_IMAGE045
a similarity evaluation matrix representing the target area,
Figure 872062DEST_PATH_IMAGE046
a similarity evaluation matrix representing the other regions,
Figure 5103DEST_PATH_IMAGE047
representing a vector
Figure 58510DEST_PATH_IMAGE045
The respective components of (a) to (b),
Figure 711339DEST_PATH_IMAGE048
representing a vector
Figure 191999DEST_PATH_IMAGE046
The respective components of (a) to (b),
Figure 750019DEST_PATH_IMAGE049
representing a vector
Figure 403854DEST_PATH_IMAGE050
Number of components of, said vector
Figure 98141DEST_PATH_IMAGE045
Number of component vectors and vector
Figure 326866DEST_PATH_IMAGE046
The number of component parts of (a) is equal.
It should be noted that the similarity evaluation matrix of other areas may be obtained by temporary calculation, or may be obtained by calculation in advance and stored in a database, and is extracted from the database when needed, which is not limited in the embodiment of the present invention.
And S5, determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas.
In one possible embodiment, determining the epidemic prevention migration strategy of the target area according to the similarity value between the target area and other areas may include the following steps S51-S52:
and S51, grading the similarity between the target area and other areas according to the similarity value between the target area and other areas, wherein the grades comprise very similar, relatively similar, generally similar and dissimilar.
In a possible embodiment, the calculated similarity values
Figure 106603DEST_PATH_IMAGE088
Ranging from-1 to 1: a 1 means that the two vectors point in exactly the opposite direction, a 1 means that their points are exactly the same, a 0 usually means that they are independent, and a value between them means an intermediate similarity or dissimilarity. Since the epidemic situation prevention and control situations of two countries or regions cannot be opposite in practical situation, the similarity values are classified as very similar based on the situation
Figure 501812DEST_PATH_IMAGE089
Are relatively similar to each other
Figure 378501DEST_PATH_IMAGE090
Are generally similar
Figure 200964DEST_PATH_IMAGE091
Are dissimilar to each other
Figure 467997DEST_PATH_IMAGE092
The four levels and the classification rule can be shown in the following table 4, which is convenient for different countries and cities to carry out strategy migration and auxiliary support epidemic situation prevention and control.
Figure 479947DEST_PATH_IMAGE094
And S52, classifying according to the similarity between the target area and other areas, determining the epidemic prevention and control strategy of the area adapted to the target area, and determining the epidemic prevention and control strategy of the area adapted to the target area as the epidemic prevention and control migration strategy of the target area.
In one possible embodiment, after determining the similarity between the target area and other areas, the area with the highest similarity rating may be determined as the area suitable for the target area, for example, after performing similarity calculation between the target area and other areas C, D, E, the similarity between the target area and area C is 0.438, and the similarity rating between the target area and area C is generally similar according to the rating rules in table 4; the similarity between the target area and the area D is 0.876, and the similarity between the target area and the area D is relatively similar according to the classification rule of the table 4; the similarity between the target area and the area E is 0.018, and the similarity between the target area and the area E is not similar according to the grade division rule of the table 4; in the three regions, the similarity degree classification of the region D is highest, so the region D is determined as a region adapted to the target region, and the epidemic situation prevention and control strategy of the region D is determined as the epidemic situation prevention and control migration strategy of the target region.
If a plurality of regions have the same similarity level with the target region, the region with the highest similarity with the target region can be selected as the region suitable for the target region.
In the embodiment of the invention, the data of epidemic situation prevention and control related policy issuing dimension, the data of people basic dimension and the data of policy implementation or execution effect dimension of a target area are determined; defining epidemic situation prevention and control related policy issuing dimension vectors according to the data of the epidemic situation prevention and control related policy issuing dimensions of the target area, defining people basic dimension vectors according to the data of the people basic dimensions, and defining policy implementation or execution effect dimension vectors according to the data of the policy implementation or execution effect dimensions; constructing a similarity evaluation matrix of a target area according to an epidemic situation prevention and control related policy issuing dimension vector, a public basic dimension vector and a policy implementation or execution effect dimension vector; according to a cosine similarity algorithm, calculating similarity values between a target region and other regions through a similarity evaluation matrix of the target region and similarity evaluation matrices of other regions, wherein the other regions refer to countries or regions with epidemic prevention and control experience; and determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas. By adopting the invention, a more appropriate epidemic prevention strategy can be quickly obtained for the countries or regions lacking epidemic prevention experience, and the epidemic prevention efficiency and accuracy are improved.
Fig. 2 is a block diagram of a policy migration apparatus for epidemic prevention and control in case of experience shortage according to an exemplary embodiment. Referring to fig. 2, the apparatus includes:
the determining module 210 is configured to determine data of an epidemic situation prevention and control related policy issuing dimension, data of a public basic dimension, and data of a policy implementation or execution effect dimension of the target area; wherein the target area is a country or a region with epidemic situation prevention and control experience shortage;
the defining module 220 is configured to define an epidemic situation prevention and control related policy issuing dimension vector according to the data of the epidemic situation prevention and control related policy issuing dimension of the target area, define a public basic dimension vector according to the data of the public basic dimension, and define a policy implementation or execution effect dimension vector according to the data of the policy implementation or execution effect dimension;
the construction module 230 is configured to construct a similarity evaluation matrix of the target area according to the epidemic situation prevention and control related policy issuing dimension vector, the public basic dimension vector, and the policy implementation or execution effect dimension vector;
a calculating module 240, configured to calculate, according to a cosine similarity algorithm, a similarity value between the target region and another region according to a similarity evaluation matrix of the target region and a similarity evaluation matrix of the other region, where the other region refers to a country or a region with epidemic situation prevention and control experience;
and the migration module 250 is configured to determine an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and another area.
Optionally, the determining module 210 is configured to:
determining data of dimension issued by relevant policies of epidemic prevention and control in the target area according to the Oxford index evaluation result;
determining data of the basic dimensionality of the people according to the low age population proportion, the education degree, the government trust degree and the average human GDP;
and determining data of policy implementation or execution effect dimensions according to the vaccination rate, million population cases, million population mortality and epidemic situation spread.
Optionally, the data of the epidemic situation prevention and control related policy issuing dimension of the target area includes an oxford closing and containment measure policy index, an oxford economic response policy index and an oxford public health system policy index;
the determining module 210 is configured to:
calculating an oxford index evaluation result according to the formula (1):
Figure 148825DEST_PATH_IMAGE051
wherein the content of the first and second substances,
Figure 204506DEST_PATH_IMAGE002
the maximum scale which can be obtained by each index under the Oxford policy index is represented;
Figure 958835DEST_PATH_IMAGE003
representing the value of each index;
Figure 695847DEST_PATH_IMAGE004
indicating whether a flag variable exists;
Figure 530817DEST_PATH_IMAGE005
representing the value of a flag variable;
Figure 960661DEST_PATH_IMAGE006
representing the results of oxford index evaluation;
Figure 264604DEST_PATH_IMAGE007
all obtained by inquiring in an oxford public database;
calculating an oxford policy index for containment and containment measures according to formula (2)
Figure 539727DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 183198DEST_PATH_IMAGE025
And Oxford policy index for public health System
Figure 331414DEST_PATH_IMAGE026
；
Figure 60335DEST_PATH_IMAGE011
Wherein the content of the first and second substances,
Figure 139150DEST_PATH_IMAGE012
has a value range of
Figure 699444DEST_PATH_IMAGE013
When is coming into contact with
Figure 471091DEST_PATH_IMAGE014
When the temperature of the water is higher than the set temperature,
Figure 756752DEST_PATH_IMAGE015
expresses an Oxford policy index for containment and containment measures when
Figure 639257DEST_PATH_IMAGE016
When the temperature of the water is higher than the set temperature,
Figure 991741DEST_PATH_IMAGE015
expresses the economic response Oxford policy index
Figure 996606DEST_PATH_IMAGE017
When the temperature of the water is higher than the set temperature,
Figure 434541DEST_PATH_IMAGE015
represents the public health system oxford policy index;
Figure 855158DEST_PATH_IMAGE018
is an index of
Figure 140777DEST_PATH_IMAGE019
The number of indexes of (1);
Figure 254226DEST_PATH_IMAGE020
representing the weight of each index.
Optionally, the determining module 210 is configured to:
calculating the epidemic spread range by the formula (3):
Figure 241774DEST_PATH_IMAGE021
wherein the content of the first and second substances,
Figure 466082DEST_PATH_IMAGE022
the total area of the target region is represented,
Figure 527579DEST_PATH_IMAGE023
the number of the epidemic areas included in the target area is shown,
Figure 123514DEST_PATH_IMAGE024
respectively representing the areas of different epidemic areas.
Optionally, the defining module 220 is configured to:
oxford policy index based on containment and containment measures
Figure 536041DEST_PATH_IMAGE008
Economic response oxford policy index
Figure 626356DEST_PATH_IMAGE025
And Oxford policy index for public health System
Figure 807939DEST_PATH_IMAGE026
Issuing dimension vector for relevant policy of epidemic prevention and control
Figure 997612DEST_PATH_IMAGE027
Defined according to equation (4):
Figure 710484DEST_PATH_IMAGE028
according to the proportion of the population of the young
Figure 276595DEST_PATH_IMAGE029
Degree of education
Figure 578263DEST_PATH_IMAGE030
Degree of trust to government
Figure 1154DEST_PATH_IMAGE031
And all people
Figure 388273DEST_PATH_IMAGE032
The basic dimension vector of the people
Figure 69659DEST_PATH_IMAGE033
Defined according to equation (5):
Figure 960255DEST_PATH_IMAGE034
according to the vaccination rate
Figure 757309DEST_PATH_IMAGE035
Million population cases
Figure 428462DEST_PATH_IMAGE036
Million people mortality
Figure 601954DEST_PATH_IMAGE037
And the range of epidemic situation
Figure 425685DEST_PATH_IMAGE038
Dimension vector for policy enforcement or enforcement effect
Figure 393641DEST_PATH_IMAGE039
Defined according to equation (6):
Figure 489773DEST_PATH_IMAGE040
optionally, the building module 230 is configured to:
evaluating the similarity of the target area by a matrix
Figure 263694DEST_PATH_IMAGE041
Defined according to equation (7):
Figure 128882DEST_PATH_IMAGE042
optionally, the calculating module 240 is configured to:
calculating the similarity value between the target area and other areas according to a formula (8) according to a cosine similarity calculation method and the similarity evaluation matrix of the target area and the similarity evaluation matrix of other areas:
Figure 267739DEST_PATH_IMAGE096
wherein the content of the first and second substances,
Figure 162752DEST_PATH_IMAGE045
a similarity evaluation matrix representing the target area,
Figure 412467DEST_PATH_IMAGE046
a similarity evaluation matrix representing the other regions,
Figure 460058DEST_PATH_IMAGE047
representing a vector
Figure 769817DEST_PATH_IMAGE045
The respective components of (a) to (b),
Figure 653590DEST_PATH_IMAGE048
representing a vector
Figure 706997DEST_PATH_IMAGE046
The respective components of (a) to (b),
Figure 609094DEST_PATH_IMAGE049
representing a vector
Figure 89754DEST_PATH_IMAGE050
Number of components of, said vector
Figure 693779DEST_PATH_IMAGE045
Number of component vectors and vector
Figure 550877DEST_PATH_IMAGE046
The number of component parts of (a) is equal.
Optionally, the migration module 250 is configured to:
according to the similarity values between the target area and other areas, classifying the similarity between the target area and other areas, wherein the grades comprise very similar, relatively similar, generally similar and dissimilar;
and classifying according to the similarity between the target area and other areas, determining an epidemic prevention and control strategy of the area adapted to the target area, and determining the epidemic prevention and control strategy of the area adapted to the target area as the epidemic prevention and control migration strategy of the target area.
In the embodiment of the invention, the data of epidemic situation prevention and control related policy issuing dimension, the data of people basic dimension and the data of policy implementation or execution effect dimension of a target area are determined; defining epidemic situation prevention and control related policy issuing dimension vectors according to the data of the epidemic situation prevention and control related policy issuing dimensions of the target area, defining people basic dimension vectors according to the data of the people basic dimensions, and defining policy implementation or execution effect dimension vectors according to the data of the policy implementation or execution effect dimensions; constructing a similarity evaluation matrix of a target area according to an epidemic situation prevention and control related policy issuing dimension vector, a public basic dimension vector and a policy implementation or execution effect dimension vector; according to a cosine similarity algorithm, calculating similarity values between a target region and other regions through a similarity evaluation matrix of the target region and similarity evaluation matrices of other regions, wherein the other regions refer to countries or regions with epidemic prevention and control experience; and determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas. By adopting the invention, a more appropriate epidemic prevention strategy can be quickly obtained for the countries or regions lacking epidemic prevention experience, and the epidemic prevention efficiency and accuracy are improved.
Fig. 3 is a schematic structural diagram of an electronic device 300 according to an embodiment of the present invention, where the electronic device 300 may generate a relatively large difference due to different configurations or performances, and may include one or more processors (CPUs) 301 and one or more memories 302, where the memory 302 stores at least one instruction, and the at least one instruction is loaded and executed by the processor 301 to implement the above-mentioned steps of the policy migration method for epidemic situation prevention and control under experience shortage.
In an exemplary embodiment, a computer-readable storage medium, such as a memory, is provided that includes instructions executable by a processor in a terminal to perform the above policy migration method for epidemic prevention and control in case of experience shortage. For example, the computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (10)

1. A strategy migration method for epidemic prevention and control under experience shortage is characterized by comprising the following steps:
determining data of epidemic situation prevention and control related policy issuing dimensions, data of public basic dimensions and data of policy implementation or execution effect dimensions of a target area; wherein the target area is a country or a region with epidemic situation prevention and control experience shortage;
defining an epidemic situation prevention and control related policy issuing dimension vector according to the data of the epidemic situation prevention and control related policy issuing dimension of the target area, defining a public basic dimension vector according to the data of the public basic dimension, and defining a policy implementation or execution effect dimension vector according to the data of the policy implementation or execution effect dimension;
constructing a similarity evaluation matrix of the target area according to the epidemic situation prevention and control related policy issuing dimension vector, the public basic dimension vector and the policy implementation or execution effect dimension vector;
according to a cosine similarity algorithm, calculating similarity values between the target region and other regions through a similarity evaluation matrix of the target region and similarity evaluation matrices of other regions, wherein the other regions refer to countries or regions with epidemic prevention and control experience;
and determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas.
2. The method of claim 1, wherein the determining data of the epidemic prevention and control related policy promulgation dimension, the people basic dimension and the policy implementation or execution effect dimension of the target area comprises:
determining data of dimension issued by relevant policies of epidemic prevention and control in the target area according to the Oxford index evaluation result;
determining data of the basic dimensionality of the people according to the low age population proportion, the education degree, the government trust degree and the average human GDP;
and determining data of policy implementation or execution effect dimensions according to the vaccination rate, million population cases, million population mortality and epidemic situation spread.
3. The method of claim 2, wherein the data of the epidemic prevention and control related policy promulgation dimension of the target area comprises a closing and containment measure oxford policy index, an economic handling oxford policy index, and a public health system oxford policy index;
the data for determining the dimension issued by the epidemic situation prevention and control related policy of the target area according to the oxford index evaluation result comprises the following steps:
calculating an oxford index evaluation result according to the formula (1):
Figure 761181DEST_PATH_IMAGE002
wherein the content of the first and second substances,
Figure 678321DEST_PATH_IMAGE003
indicates the performance of each index under the Oxford policy indexThe maximum scale is obtained;
Figure 458059DEST_PATH_IMAGE004
representing the value of each index;
Figure 525372DEST_PATH_IMAGE005
indicating whether a flag variable exists;
Figure 339744DEST_PATH_IMAGE006
representing the value of a flag variable;
Figure 162207DEST_PATH_IMAGE007
representing the results of oxford index evaluation;
Figure 881770DEST_PATH_IMAGE008
all obtained by inquiring in an oxford public database;
calculating an oxford policy index for containment and containment measures according to formula (2)
Figure 80670DEST_PATH_IMAGE009
Economic response oxford policy index
Figure 687232DEST_PATH_IMAGE010
And Oxford policy index for public health System
Figure 680596DEST_PATH_IMAGE011
;
Figure 434925DEST_PATH_IMAGE012
Wherein the content of the first and second substances,
Figure 93308DEST_PATH_IMAGE013
has a value range of
Figure 616693DEST_PATH_IMAGE014
When is coming into contact with
Figure 249800DEST_PATH_IMAGE015
When the temperature of the water is higher than the set temperature,
Figure 491426DEST_PATH_IMAGE016
expresses an Oxford policy index for containment and containment measures when
Figure 766549DEST_PATH_IMAGE017
When the temperature of the water is higher than the set temperature,
Figure 596971DEST_PATH_IMAGE016
expresses the economic response Oxford policy index
Figure 932137DEST_PATH_IMAGE018
When the temperature of the water is higher than the set temperature,
Figure 661059DEST_PATH_IMAGE016
represents the public health system oxford policy index;
Figure 677556DEST_PATH_IMAGE019
is an index of
Figure 175534DEST_PATH_IMAGE020
The number of indexes of (1);
Figure 134131DEST_PATH_IMAGE021
representing the weight of each index.
4. The method of claim 2, wherein the method for calculating the spread comprises:
calculating the epidemic spread range by the formula (3):
Figure 84770DEST_PATH_IMAGE022
wherein the content of the first and second substances,
Figure 967275DEST_PATH_IMAGE023
the total area of the target region is represented,
Figure 991863DEST_PATH_IMAGE024
the number of the epidemic areas included in the target area is shown,
Figure 934411DEST_PATH_IMAGE025
respectively representing the areas of different epidemic areas.
5. The method of claim 2, wherein defining an epidemic prevention and control related policy issue dimension vector according to the data of the epidemic prevention and control related policy issue dimension of the target area comprises:
oxford policy index based on containment and containment measures
Figure 372346DEST_PATH_IMAGE009
Economic response oxford policy index
Figure 245493DEST_PATH_IMAGE026
And Oxford policy index for public health System
Figure 718062DEST_PATH_IMAGE027
Issuing dimension vector for relevant policy of epidemic prevention and control
Figure 769195DEST_PATH_IMAGE028
Defined according to equation (4):
Figure 694426DEST_PATH_IMAGE029
according to the proportion of the population of the young
Figure 918734DEST_PATH_IMAGE030
Degree of education
Figure 167181DEST_PATH_IMAGE031
Degree of trust to government
Figure 451532DEST_PATH_IMAGE032
And all people
Figure 801742DEST_PATH_IMAGE033
The basic dimension vector of the people
Figure 829741DEST_PATH_IMAGE034
Defined according to equation (5):
Figure 11323DEST_PATH_IMAGE035
according to the vaccination rate
Figure 387947DEST_PATH_IMAGE036
Million population cases
Figure 287770DEST_PATH_IMAGE037
Million people mortality
Figure 791564DEST_PATH_IMAGE038
And the range of epidemic situation
Figure 93232DEST_PATH_IMAGE039
Dimension vector for policy enforcement or enforcement effect
Figure 453806DEST_PATH_IMAGE040
Defined according to equation (6):
Figure 27876DEST_PATH_IMAGE041
。
6. the method of claim 5, wherein the constructing the similarity evaluation matrix for the target region comprises:
evaluating the similarity of the target area by a matrix
Figure 397677DEST_PATH_IMAGE042
Defined according to equation (7):
Figure 288273DEST_PATH_IMAGE043
。
7. the method according to claim 6, wherein the calculating the similarity value between the target region and the other region according to the cosine similarity algorithm by the similarity evaluation matrix of the target region and the similarity evaluation matrices of the other regions comprises:
calculating the similarity value between the target area and other areas according to a formula (8) according to a cosine similarity calculation method and the similarity evaluation matrix of the target area and the similarity evaluation matrix of other areas:
Figure 23011DEST_PATH_IMAGE045
wherein the content of the first and second substances,
Figure 631846DEST_PATH_IMAGE046
a similarity evaluation matrix representing the target area,
Figure 992290DEST_PATH_IMAGE047
a similarity evaluation matrix representing the other regions,
Figure 2971DEST_PATH_IMAGE048
representing a vector
Figure 970927DEST_PATH_IMAGE049
The respective components of (a) to (b),
Figure 4742DEST_PATH_IMAGE050
representing a vector
Figure 716346DEST_PATH_IMAGE047
The respective components of (a) to (b),
Figure 768485DEST_PATH_IMAGE051
representing a vector
Figure 907342DEST_PATH_IMAGE046
Number of components of, said vector
Figure 490770DEST_PATH_IMAGE046
Number of component vectors and vector
Figure 678169DEST_PATH_IMAGE047
The number of component parts of (a) is equal.
8. The method according to claim 1, wherein the determining the epidemic prevention and control migration strategy of the target area according to the similarity value between the target area and other areas comprises:
according to the similarity values between the target area and other areas, classifying the similarity between the target area and other areas, wherein the grades comprise very similar, relatively similar, generally similar and dissimilar;
and classifying according to the similarity between the target area and other areas, determining an epidemic prevention and control strategy of the area adapted to the target area, and determining the epidemic prevention and control strategy of the area adapted to the target area as the epidemic prevention and control migration strategy of the target area.
9. A strategy migration device for epidemic prevention and control under experience shortage, which is characterized by comprising:
the system comprises a determining module, a judging module and a judging module, wherein the determining module is used for determining data of epidemic situation prevention and control related policy issuing dimensions, data of public basic dimensions and data of policy implementation or execution effect dimensions of a target area; wherein the target area is a country or a region with epidemic situation prevention and control experience shortage;
the defining module is used for defining epidemic situation prevention and control related policy issuing dimension vectors according to the data of the epidemic situation prevention and control related policy issuing dimensions of the target area, defining people basic dimension vectors according to the data of the people basic dimensions, and defining policy implementation or execution effect dimension vectors according to the data of the policy implementation or execution effect dimensions;
the construction module is used for constructing a similarity evaluation matrix of the target area according to the epidemic situation prevention and control related policy issuing dimension vector, the public basic dimension vector and the policy implementation or execution effect dimension vector;
the calculation module is used for calculating the similarity value between the target area and other areas according to a cosine similarity algorithm and through the similarity evaluation matrix of the target area and the similarity evaluation matrices of other areas, wherein the other areas refer to countries or regions with epidemic situation prevention and control experience;
and the migration module is used for determining an epidemic situation prevention and control migration strategy of the target area according to the similarity value between the target area and other areas.
10. The apparatus of claim 9, wherein the determining module is configured to:
determining data of dimension issued by relevant policies of epidemic prevention and control in the target area according to the Oxford index evaluation result;
determining data of the basic dimensionality of the people according to the low age population proportion, the education degree, the government trust degree and the average human GDP;
and determining data of policy implementation or execution effect dimensions according to the vaccination rate, million population cases, million population mortality and epidemic situation spread.
CN202210314902.7A 2022-03-29 2022-03-29 Strategy migration method and device for epidemic situation prevention and control under experience shortage Pending CN114417239A (en)

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