CN110503320B - Vaccine resource allocation method, device and storage medium - Google Patents

Vaccine resource allocation method, device and storage medium Download PDF

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CN110503320B
CN110503320B CN201910727529.6A CN201910727529A CN110503320B CN 110503320 B CN110503320 B CN 110503320B CN 201910727529 A CN201910727529 A CN 201910727529A CN 110503320 B CN110503320 B CN 110503320B
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data
vaccine
unit
infants
resource allocation
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CN110503320A (en
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蔡天琪
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Zhuo Erzhi Lian Wuhan Research Institute Co Ltd
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Zhuo Erzhi Lian Wuhan Research Institute Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/26Government or public services
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16HHEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/20ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02ATECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
    • Y02A90/00Technologies having an indirect contribution to adaptation to climate change
    • Y02A90/10Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation

Abstract

The embodiment of the invention discloses a vaccine resource allocation method, a device and a storage medium; wherein the method comprises the following steps: acquiring first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured; determining second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be subjected to vaccination in a unit to be configured within a time period to be configured; determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database; the first reference database stores third data of units to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children; and performing vaccine resource allocation on the unit to be allocated by utilizing the first vaccine resource allocation data.

Description

Vaccine resource allocation method, device and storage medium
Technical Field
The invention relates to the field of data processing, in particular to a vaccine resource allocation method, a vaccine resource allocation device and a storage medium.
Background
The primary purpose of vaccination is to enable the body to produce natural biological substances to enhance the pathogenic recognition and defense functions of the organism. Because of the positive role of vaccination, and the optimal timing of most vaccinations is in the infant and young child (hereinafter referred to as infants), vaccination of infants has been incorporated into relevant regulatory programs by the nation. When the infant vaccine resources are not properly allocated, the situation that the vaccine resources are in short or excessive amount often occurs in a vaccination unit.
Disclosure of Invention
In view of the above, embodiments of the present invention are intended to provide a vaccine resource allocation, a device and a storage medium, which at least to some extent alleviate the problem of shortage or excess of vaccine resources in infants of vaccination units.
The technical scheme of the embodiment of the invention is realized as follows:
the embodiment of the invention provides a vaccine resource allocation method, which comprises the following steps:
acquiring first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured;
determining second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be subjected to vaccination in a unit to be configured within a time period to be configured;
determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database; the first reference database stores third data of units to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children;
and performing vaccine resource allocation on the unit to be allocated by utilizing the first vaccine resource allocation data.
In the above scheme, the determining, based on the second data and data of the first reference database, first vaccine resource configuration data of the unit to be configured in the time period to be configured includes:
establishing a first model using the third data and the historical vaccine resource allocation data;
and inputting the second data into the first model to obtain first vaccine resource configuration data.
In the foregoing solution, the determining second data by using the first data includes:
acquiring attribute data of a pregnant woman in an area to which the unit to be configured belongs;
determining attribute data of a newly added baby of a unit to be configured in a time period to be configured based on the attribute data of the pregnant woman;
and determining second data according to the attribute data of the newly added baby and the first data.
In the above solution, after determining the first vaccine resource allocation data of the unit to be configured in the time period to be configured based on the second data and the data of the first reference database, the method further includes:
acquiring address information data of the unit to be configured and home address information data of all babies and infants in the second data;
correcting the first vaccine resource allocation data by using the address information data of the unit to be allocated and the home address information data of all infants and young children in the second data to obtain second vaccine resource allocation data;
and performing vaccine resource allocation on the unit to be allocated by utilizing the second vaccine resource allocation data.
In the above scheme, the method further comprises:
presenting the first vaccine resource allocation data in a tabular form.
The embodiment of the invention also provides a vaccine resource allocation device, which comprises:
an acquisition unit configured to acquire first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured;
a first determining unit configured to determine second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured;
the second determining unit is used for determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of the first reference database; the first reference database stores third data of units to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children;
and the configuration unit is used for performing vaccine resource configuration on the unit to be configured by utilizing the first vaccine resource configuration data.
In the foregoing solution, the second determining unit is configured to:
establishing a first model using the third data and the historical vaccine resource allocation data;
and inputting the second data into the first model to obtain first vaccine resource configuration data.
In the foregoing solution, the first determining unit is configured to:
acquiring attribute data of a pregnant woman in an area to which the unit to be configured belongs;
determining attribute data of a newly-added baby of a unit to be configured in a time period to be configured based on the attribute data of the pregnant woman;
and determining second data according to the attribute data of the newly added baby and the first data.
The embodiment of the invention also provides a vaccine resource allocation device, which comprises: a processor and a memory for storing executable instructions capable of being executed on the processor, wherein the processor is configured to perform any of the steps of the above method when the executable instructions are executed.
Embodiments of the present invention also provide a computer-readable storage medium, on which executable instructions are stored, and when executed by a processor, the executable instructions implement any step of the above method.
The embodiment of the invention discloses a vaccine resource allocation method, a device and a storage medium; wherein the method comprises the following steps: acquiring first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured; determining second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured; determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database; the first reference database stores third data of a unit to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children; and performing vaccine resource allocation on the unit to be allocated by utilizing the first vaccine resource allocation data. According to the embodiment of the invention, the infant who has vaccine requirements in the time period to be configured, the historical vaccine requirement infant and the historical vaccine resource configuration data are utilized to predict the vaccine resource configuration situation in the future time period to be configured, so that the infant vaccine resource requirements can be effectively predicted, the reasonable infant vaccine resource configuration is facilitated, and the problem of shortage or excess of the vaccine resources of the infant in a vaccination unit is relieved to a certain extent.
Drawings
Fig. 1 is a schematic flow chart of a method for allocating vaccine resources according to an embodiment of the present invention;
fig. 2 is a schematic view of a second implementation flow of a vaccine resource allocation method according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a vaccine resource allocation apparatus according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a vaccine resource allocation apparatus according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
Young children aged between 0 and 1 year are commonly referred to as infants; young children aged 1-3 years are called young children. Since most of the vaccination time of the vaccine is in the infant stage in practical application, the vaccine resource allocation in the embodiments of the present invention is targeted to infants.
The embodiment of the invention provides a vaccine resource allocation method, and fig. 1 is a schematic flow chart of the implementation of the vaccine resource allocation method of the embodiment of the invention. As shown in fig. 1, the method comprises the steps of:
step 101: acquiring first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured;
step 102: determining second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured;
step 103: determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database; the first reference database stores third data of a unit to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children;
step 104: and performing vaccine resource allocation on the unit to be allocated by utilizing the first vaccine resource allocation data.
In step 101, data of an infant currently having a vaccine requirement in a unit to be configured is mainly obtained. The first data includes at least: and attribute data of all infants and young children recorded by vaccination are set in a unit to be configured. The unit to be configured is a vaccination unit with vaccination qualification, such as hospitals of various grades. Here, all infants and young children having a vaccination record set in the unit to be configured refer to all young children who have been vaccinated in the unit to be configured and are currently at the infant stage of age. The attribute data of the infant and the young child at least comprises: information on the number of infants and information on the age of the infants.
For example, assuming that 2019, 7 months are present, then the child born after 2016 is at an infant stage relative to the present, where the first data is the number of all infants vaccinated in the unit to be configured and born after 2016, 8 months, and the date of birth.
In practical application, the first data can be screened from a relevant database of the unit to be configured, wherein the relevant database stores vaccination records.
In step 102, the attribute data of all infants and young children needing to be vaccinated by the unit to be configured in the time period to be configured is mainly determined.
The time period to be configured comprises: the duration of resource allocation is planned, such as planning vaccine resource allocation for 1 month in the future, 3 months in the future, or between 3 months and 6 months in the future.
For example, assuming that 7 months in 2019 are currently used, the time period to be configured may be 8 months in 2019, 8 months in 2019-10 months in 2019, 12 months in 2019-1 month in 2019, and so on.
It should be noted that the vaccination time is required at intervals, such as at least 2 weeks. Therefore, the time period to be configured here is generally performed in units of months when setting. In addition, the time period to be configured can be set by referring to the arrival cycle of the vaccine, and the overlong setting of the time period to be configured can cause the accuracy of the determined data of the infant needing to be vaccinated in the time period to be configured to be reduced.
In practical application, considering the characteristic that the smaller the age of the month is, the higher the density of the demands of the infants on the vaccine resources is, the greater error may exist in the future in determining the demands of the vaccine resources only by the data of the infants currently having the vaccine demands in the unit to be configured, and at this time, the attribute data of all the infants and young children needing to be vaccinated in the time period to be configured in the unit to be configured can be predicted further according to the attribute data of the pregnant women in the area to which the unit to be configured belongs.
Based on this, in an embodiment, the determining second data by using the first data includes:
acquiring attribute data of a pregnant woman in an area to which the unit to be configured belongs;
determining attribute data of a newly added baby of a unit to be configured in a time period to be configured based on the attribute data of the pregnant woman;
and determining second data according to the attribute data of the newly added baby and the first data.
Here, the area to which the unit to be configured belongs is a social area into which the unit to be configured is divided. If the unit to be configured is a certain community hospital, the area to which the unit to be configured belongs refers to all cells which are designated to be covered by the community hospital. The attribute data of the pregnant woman at least comprises: the number information of the pregnant women and the gestational week information of the pregnant women.
When the application is implemented, after the attribute data of the pregnant woman is determined, the attribute data of the newly-added baby in the time period to be configured can be obtained. Here, the attribute data of the new baby at least includes: the number information of the newly-added babies and the age information of the newly-added babies. According to the time period to be configured, the number of the pregnant women and the gestational week information of the pregnant women, the number of the newly added babies in the configured time period can be determined, and meanwhile, the month age of the newly added babies can also be determined. In practical application, the attribute data of the pregnant woman in the area to which the unit to be configured belongs may be obtained by screening from a relevant database of the unit to be configured, wherein the relevant database is stored with prenatal examination records of the pregnant woman, and may also be obtained from a relevant maternal and child health care management organization in the area to which the unit to be configured belongs.
In practical application, considering that cross-region production (production refers to the condition that a pregnant woman produces an infant) is possible, namely, the breeding of other regions is performed in the region due to various reasons, the attribute data of the newly-added infant can be corrected to a certain extent, such as adjustment according to the statistical value of the number of pregnant women checked before delivery and the historical actual infant birth ratio registered by the region history belonging to the unit to be allocated.
And counting the attribute data of the newly-added infants and the first data to obtain the attribute data of all infants and young children needing to be vaccinated in the configuration time of the unit to be configured.
In practical application, attribute data of all infants and young children needing to be vaccinated in a configured time period can be presented in a month unit respectively. For example, assuming that the time period to be configured may be from 8 months in 2019 to 10 months in 2019, the attribute data of all infants and young children needing to be vaccinated in the configured time period may be presented according to the infants and young children needing to be vaccinated in 8 months in 2019, 9 months in 2019 and 10 months in 2019, respectively.
In step 103, the first vaccine resource allocation data of the unit to be allocated in the allocation time length is mainly predicted.
Here, the first reference database in the first reference database stores third data of units to be configured and historical vaccine resource configuration data. The third data is attribute data of the past infants and young children vaccinated by the unit to be configured, such as the number of all the young children vaccinated by the unit to be configured and the age at that time in the infant stage and the birth date in the past 5 years (which can be counted in months). The historical vaccine resource allocation data is historical actual vaccine resource allocation data of the unit to be allocated, for example, in the last 5 years (statistics can be performed in units of months), the historical actual vaccine resource allocation data of the unit to be allocated is obtained. The vaccine resource configuration data comprises at least: information on the type of vaccine and the number of vaccines to be used, e.g., 1, 180 vaccines; vaccine 2, 200 etc.
In practical application, the third data and the historical vaccine resource allocation data can be obtained by screening from a relevant database of a unit to be allocated, wherein the relevant database is stored with a vaccination record.
In an embodiment, the determining, based on the second data and the data of the first reference database, the first vaccine resource configuration data of the unit to be configured in the time period to be configured includes:
establishing a first model using the third data and the historical vaccine resource allocation data;
and inputting the second data into the first model to obtain first vaccine resource configuration data.
And modeling by using the third data and the corresponding historical vaccine resource allocation data in many ways, and during actual application, screening out attribute data of all infants and young children needing to be vaccinated in the history of the unit to be configured from the first database and modeling by using the corresponding historical actual vaccine resource allocation data, thereby realizing prediction of vaccine resource allocation data according to demand crowds.
For ease of understanding, the following is illustrated with the construction of a Back-ProPagation Network (BP) neural Network prediction model. There is a certain correlation between various vaccine requirements and the infant's age in the month as shown in table 1. During modeling, the prediction of vaccine resource configuration data in each month can be realized by utilizing the incidence relation between various vaccine requirements and the month age of infants so as to obtain the prediction of the vaccine resource configuration data in a time period to be configured, then a loss function is determined by utilizing the difference between the predicted data and the historical actual vaccine resource configuration data, the model parameters are continuously corrected, the error between the predicted value and the actual value is reduced along the negative gradient direction, and finally the predicted output approaches the actual output.
Agent 1 Agent 2 Agent 3 Agent 4
Age of 0 month BCG vaccine&Hepatitis B virus
Age of 1 month Hepatitis B virus
Age of 2 months Spinal ash
Age of 3 months Whooping rupture Spinal ash
4 months old Pertussis Spinal ash
Age of 5 months Whooping rupture
Age of 6 months Hepatitis B virus
Age of 8 months Leprosy (Chinese character of 'Mafeng')&Epidemic encephalitis B reducing toxicity
6-18 months old Epidemic encephalitis of group A Epidemic encephalitis of group A
18 months old Attenuation of hepatitis A
18-24 months old Wind with numb cheek Whooping rupture
24 months old Epidemic encephalitis B reducing toxicity
36 months old Group A and group C
TABLE 1
In practical application, all infants who need to be vaccinated in a certain month in history can be classified according to the month age for counting, for example, by X = (X) 0 ,x 1 ,x 2 ,x 3 ,…x m ) (m is a positive integer ≧ 1) represents the number of classifications from 0-month-old to m-month-old of all infants and young children requiring vaccination for a certain month in history. Meanwhile, historical vaccine resource allocation data corresponding to a certain month of the history is screened from the historical vaccine resource allocation data, and the data is subjected to quantity statistics according to the vaccine types, such as Y = (Y) 0 ,y 1 ,y 2 ,y 3 ,…y n ) (n is a positive integer of 1 or more) represents the number of all vaccines in the historical vaccine resource allocation data corresponding to the historical month according to the classification of the vaccine types (e.g., y) 0 Indicates the number of BCG, y 1 Indicating the number of hepatitis b, etc.). The historical predicted vaccine resource allocation data Y ' = (Y ') in a certain month can be obtained by using X and the relation between the vaccine demand and the infant month age in Table 1 ' 0 ,y' 1 ,y' 2 ,y' 3 ,…y' n ). The specific determination method may be: suppose x 0 ,x 1 ,x 6 Respectively representing the number of 0 month, 1 month and 6 month old infants needing vaccination in a certain month in history; y' 0 Represents the predicted number of historical BCG at one month, y' 1 Representing the predicted amount of hepatitis B in a month of history; y 'is known from the correspondence relationship of Table 1' 0 =x 0 ,y' 1 =x 0 +x 1 +x 6 By analogy, Y' can be obtained. Here, it can be understood that data in the first database is taken as sample data of the first model, and training of the first model is performed using the sample data.
In practice, there are differences in the class of vaccines (e.g., one class of vaccine is free and the national regulations require vaccination, and the second class of vaccine is a self-cost and selectively vaccinable vaccine), the type (e.g., attenuated vaccine type and inactivated vaccine type may exist for a vaccine with the same efficacy), and the place of production (e.g., domestic vaccine, imported vaccine may exist for a vaccine with the same efficacy). For vaccines which can be selected to be inoculated or vaccines with different selection conditions (such as types or producing areas, and the like), the selected proportion or the proportion of a specific selection condition can be counted from historical vaccine configuration data, historical proportion and ring ratio data of the proportion are obtained, and the historical monthly prediction data are further refined by utilizing the historical proportion and ring ratio data of the proportion.
After historical prediction data are obtained, determining a loss function by using the difference between the historical actual vaccine resource allocation data Y and the historical prediction vaccine resource allocation data Y', continuously correcting model parameters, reducing the error between the predicted value and the actual value along the negative gradient direction, and finally enabling the predicted value to approach the actual value.
After the above steps are completed, the establishment of the first model is completed.
After the model is established, the second data is input into the first model, and then the vaccine resource configuration data of the unit to be configured in the configuration duration can be obtained.
In practical application, the first model can be predicted in a monthly unit. When the time period to be configured is longer than 1 month, all vaccine-requiring infants in the second data can be counted in a month unit, and predicted vaccine resource configuration data of each month are obtained through the first model respectively, so that the vaccine resource configuration data within the configuration duration are obtained.
In step 104, the predicted vaccine resource allocation data is used to implement the vaccine resource allocation for the unit to be allocated.
For ease of reference, in one embodiment, the first vaccine resource allocation data is presented in a table format.
The embodiment of the invention discloses a vaccine resource allocation method, which comprises the steps of obtaining first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured; determining second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured; determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database; the first reference database stores third data of units to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children; and performing vaccine resource allocation on the unit to be allocated by utilizing the first vaccine resource allocation data. According to the embodiment of the invention, the vaccine resource allocation condition in the future time period to be allocated is predicted by utilizing the infants with vaccine demands in the time period to be allocated, the infants with historical vaccine demands and the historical vaccine resource allocation data, so that the infant vaccine resource demands can be effectively predicted, reasonable infant vaccine resource allocation can be conveniently carried out, and the problem of shortage or excess of the current vaccine inoculation unit infant vaccine resources is relieved to a certain extent.
In practical applications, when the home address of the infant needing to be vaccinated is far away from the geographical location of the unit to be configured, the infant needing to be vaccinated may have instability, that is, the infant needing to be vaccinated may be vaccinated in the unit to be configured only by a single action, and at this time, the previously predicted vaccine resource configuration data needs to be corrected.
Based on this, the embodiment of the present invention further provides a vaccine resource allocation method, and fig. 2 is a schematic flow chart illustrating the implementation of the vaccine resource allocation method according to the embodiment of the present invention. As shown in fig. 2, the method comprises the steps of:
step 201: acquiring first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured;
step 202: determining second data using the first data; the second data includes at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured;
step 203: determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database; the first reference database stores third data of units to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children;
step 204: acquiring address information data of the unit to be configured and home address information data of all babies and infants in the second data;
step 205: correcting the first vaccine resource allocation data by using the address information data of the unit to be allocated and the home address information data of all babies and infants in the second data to obtain second vaccine resource allocation data;
step 206: and performing vaccine resource allocation on the unit to be allocated by utilizing the second vaccine resource allocation data.
Steps 201 to 203 are the same as steps 101 to 103, and are not described herein again.
In step 204, in practical application, the address information data of the unit to be configured may be obtained by receiving an input, for example, receiving the address information data of the unit to be configured manually input by a relevant person; the family address information data of all babies and infants in the second data can be obtained by screening from a relevant database of a unit to be configured, wherein the relevant database is stored with vaccination records.
It should be noted that the family address information data of the newly-added baby in the second data can be determined according to the family address information data of the pregnant woman corresponding to the newly-added baby.
In step 205, a stability factor (for example, a value between 0 and 1 is used to perform specific measurement) of the infant that needs to be vaccinated is determined by using the address information data of the unit to be configured and the home address information data of all infants and young children in the second data, and the first vaccine resource configuration data is corrected by using the stability factor.
In practice, a distance difference threshold is determined (here, the distance difference threshold can be set with reference to the distance between the unit to be configured and its neighboring unit with the vaccination qualification unit, such as 5 km). The stability factor of the infant in need of vaccination is then determined.
The specific way to determine the stability factor may be: the address information data of the unit to be configured is subtracted from the home address information data of all infants and children in the second data, the difference values are compared with a distance difference threshold, when the difference values are smaller than the distance difference threshold, the stability of the infant needing to be vaccinated is judged to be high, and the stability factor of the infant needing to be vaccinated can be set to be 1; when the difference value is larger than the distance difference threshold value, the stability of the infant needing to be vaccinated is judged not to be high, and at the moment, the number of times of the infant to be vaccinated in the unit to be configured can be further obtained, and the stability factor of the infant can be set according to the number of times of the infant to be vaccinated in the unit to be configured (for example, when the number is larger than or equal to 3, the stability factor is set to 0.9, when the number =2, the stability factor is set to 0.8, and when the number =1, the stability factor is set to 0.5). And correcting the first vaccine resource configuration data by using the determined stability factor.
The specific manner of the correction may be: the average value of all the stabilizing factors of all the infants which need to be vaccinated in the time period to be configured can be calculated, and then the average value is used as a correction coefficient to be multiplied by the first vaccine resource configuration data to obtain the corrected vaccine resource configuration data. The specific way of correction may also be: correcting the types of vaccines required by infants with low stability factors, for example, determining the monthly age distribution of all infants with the stability factors of 0.5, then determining the specific vaccine type requirements of all infants with the stability factors of 0.5 in the time period to be configured according to the monthly age distribution, and correcting the number of the determined specific vaccine types to obtain the corrected vaccine resource configuration data.
In step 206, the modified vaccine resource allocation data is used to allocate the vaccine resource to the unit to be allocated.
In practical application, when the predicted vaccine resource allocation data exceeds the upper limit of the unit to be allocated (the upper limit can be determined according to the specific working time and the average number of receptions of the unit to be allocated), a warning message can be sent out, so that relevant personnel of the unit to be allocated can make corresponding measures in advance.
In the embodiment of the invention, the stability of the infants needing to be vaccinated is judged according to the home address of the infants needing to be vaccinated and the geographic position of the unit to be configured, and the predicted vaccine resource configuration data is corrected according to the judged stability. Thus, the accuracy of prediction can be further improved.
In order to implement the method of the embodiment of the present invention, the embodiment of the present invention further provides a vaccine resource allocation apparatus 300, fig. 3 is a structural diagram of the apparatus of the embodiment of the present invention, as shown in fig. 3, the apparatus 300 includes:
an acquisition unit 301 configured to acquire first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured;
a first determining unit 302, configured to determine second data by using the first data; the second data includes at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured;
a second determining unit 303, configured to determine, based on the second data and data of the first reference database, first vaccine resource configuration data of the unit to be configured in the time period to be configured; the first reference database stores third data of units to be configured and historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children;
a configuration unit 304, configured to perform vaccine resource configuration on the unit to be configured by using the first vaccine resource configuration data.
In an embodiment, the second determining unit 303 is configured to:
establishing a first model using the third data and the historical vaccine resource allocation data;
and inputting the second data into the first model to obtain first vaccine resource configuration data.
In an embodiment, the first determining unit 302 is configured to:
acquiring attribute data of a pregnant woman in an area to which the unit to be configured belongs;
determining attribute data of a newly added baby of a unit to be configured in a time period to be configured based on the attribute data of the pregnant woman;
and determining second data according to the attribute data of the newly added baby and the first data.
In an embodiment, the apparatus 300 further comprises a modification unit, configured to:
acquiring address information data of the unit to be configured and home address information data of all babies and infants in the second data;
correcting the first vaccine resource allocation data by using the address information data of the unit to be allocated and the home address information data of all babies and infants in the second data to obtain second vaccine resource allocation data;
and performing vaccine resource allocation on the unit to be allocated by utilizing the second vaccine resource allocation data.
In an embodiment, the apparatus 300 further comprises a display unit configured to:
presenting the first vaccine resource allocation data in a tabular form.
In practical applications, the obtaining unit 301, the first determining unit 302, the second determining unit 303, the configuring unit 304, the modifying unit and the displaying unit may be implemented by a processor in the vaccine resource configuring apparatus 300.
It should be noted that: in the vaccine resource allocation device provided in the above embodiment, when allocating vaccine resources, only the division of the above program modules is taken as an example, and in practical applications, the above processing allocation may be completed by different program modules according to needs, that is, the internal structure of the device is divided into different program modules to complete all or part of the above-described processing. In addition, the vaccine resource allocation device and the vaccine resource allocation method provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments and are not described herein again.
Based on the hardware implementation of the program modules, and in order to implement the method of the embodiment of the present invention, the embodiment of the present invention further provides a vaccine resource allocation apparatus 400, where the apparatus 400 includes:
a memory 401 for storing executable instructions;
the processor 402 is configured to execute the executable instructions stored in the memory, and implement the vaccine resource allocation method provided by the embodiment of the present invention.
In practice, as shown in FIG. 4, the various components of the apparatus 400 are coupled together by a bus system 403. It will be appreciated that the bus system 403 is used to enable communications among the components connected. The bus system 403 includes a power bus, a control bus, and a status signal bus in addition to a data bus. But for clarity of illustration the various buses are labeled as bus system 403 in figure 4.
The embodiment of the invention also provides a storage medium, and the storage medium stores executable instructions, and when the executable instructions are executed by at least one processor, the vaccine resource allocation method provided by the embodiment of the invention is realized.
In some embodiments, the storage medium may be a magnetic random access Memory (FRAM), a Read Only Memory (ROM), a Programmable Read Only Memory (PROM), an Erasable Programmable Read Only Memory (EPROM), an Electrically Erasable Programmable Read Only Memory (EEPROM), a Flash Memory (Flash Memory), a magnetic surface Memory, an optical Disc, or a Compact Disc Read-Only Memory (CD-ROM), among other memories; or may be various devices including one or any combination of the above memories.
In some embodiments, executable instructions may be written in any form of programming language (including compiled or interpreted languages), in the form of programs, software modules, scripts or code, and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment.
By way of example, executable instructions may correspond, but do not necessarily have to correspond, to files in a file system, and may be stored in a portion of a file that holds other programs or data, such as in one or more scripts in a hypertext Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub-programs, or portions of code).
By way of example, executable instructions may be deployed to be executed on one computing device or on multiple computing devices at one site or distributed across multiple sites and interconnected by a communication network.
It should be noted that: it should be noted that: "first," "second," and the like are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order.
In addition, the technical solutions described in the embodiments of the present invention may be arbitrarily combined without conflict.
The above description is only a preferred embodiment of the present invention, and is not intended to limit the scope of the present invention.

Claims (6)

1. A method for configuring a vaccine resource, the method comprising:
acquiring first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured; wherein the attribute data of all infants and young children at least comprises: the number information of the infants and the age information of the infants;
determining second data using the first data, wherein the determining second data using the first data comprises: acquiring attribute data of a pregnant woman in an area to which the unit to be configured belongs; determining attribute data of a newly added baby of a unit to be configured in a time period to be configured based on the attribute data of the pregnant woman; determining second data according to the attribute data of the newly added baby and the first data; wherein the second data comprises at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured;
determining first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and data of a first reference database, wherein the first vaccine resource configuration data comprises: establishing a first model by using the third data and the historical vaccine resource configuration data; inputting the second data into the first model to obtain the first vaccine resource configuration data; the first reference database stores the third data of the unit to be configured and the historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children; the historical vaccine resource allocation data includes at least: the type information of the vaccine, the using amount of the vaccine and the age and period of the corresponding vaccine used by the infant;
and performing vaccine resource allocation on the unit to be allocated by utilizing the first vaccine resource allocation data.
2. The method according to claim 1, wherein after determining the first vaccine resource configuration data of the unit to be configured in the time period to be configured based on the second data and the data of the first reference database, the method further comprises:
acquiring address information data of the unit to be configured and home address information data of all babies and infants in the second data;
correcting the first vaccine resource allocation data by using the address information data of the unit to be allocated and the home address information data of all babies and infants in the second data to obtain second vaccine resource allocation data;
and performing vaccine resource allocation on the unit to be allocated by utilizing the second vaccine resource allocation data.
3. The method of claim 1, further comprising:
presenting the first vaccine resource allocation data in a tabular form.
4. An apparatus for allocating vaccine resources, comprising:
an acquisition unit configured to acquire first data; the first data includes at least: setting attribute data of all infants and young children recorded by vaccination in a unit to be configured, wherein the attribute data of all infants and young children at least comprises the following data: the number information of the infants and the age information of the infants;
the first determining unit is used for determining second data by utilizing the first data, wherein the first determining unit is specifically used for acquiring attribute data of a pregnant woman in the area to which the unit to be configured belongs; determining attribute data of a newly added baby of a unit to be configured in a time period to be configured based on the attribute data of the pregnant woman; determining second data according to the attribute data of the newly added baby and the first data; wherein the second data comprises at least: attribute data of all infants and young children needing to be vaccinated by a unit to be configured in a time period to be configured;
a second determining unit, configured to determine, based on the second data and data of the first reference database, first vaccine resource configuration data of the unit to be configured in the time period to be configured, including: establishing a first model by using the third data and the historical vaccine resource configuration data; inputting the second data into the first model to obtain the first vaccine resource configuration data; the first reference database stores the third data of the unit to be configured and the historical vaccine resource configuration data; the third data includes at least: attribute data of the vaccinated historical infants and young children; the historical vaccine resource allocation data includes at least: the type information of the vaccine, the using amount of the vaccine and the age and the period of the corresponding vaccine used by the infant;
and the configuration unit is used for performing vaccine resource configuration on the unit to be configured by utilizing the first vaccine resource configuration data.
5. A vaccine resource allocation device, comprising: a processor and a memory for storing executable instructions operable on the processor, wherein the processor is operable when executing the executable instructions to perform the steps of the method of any one of claims 1 to 3.
6. A computer readable storage medium having stored thereon executable instructions, wherein said executable instructions when executed by a processor implement the steps of the method of any one of claims 1 to 3.
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114496198B (en) 2022-04-06 2022-06-28 成都秦川物联网科技股份有限公司 Smart city vaccine scheduling method and system based on Internet of things
CN116137181B (en) * 2023-03-09 2023-09-05 河北省疾病预防控制中心 Vaccination command scheduling method and system
CN117474364A (en) * 2023-12-12 2024-01-30 广东迈科医学科技股份有限公司 Safety management method and system for vaccine storage and transportation

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318355A (en) * 2014-10-11 2015-01-28 广东省生物制品与药物研究所 Vaccine clinical trial management method and system
CN109671489A (en) * 2018-10-30 2019-04-23 厦门理工学院 A kind of vaccine intelligent memory system and device

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP1817708A4 (en) * 2004-10-18 2014-08-27 Wellstat Vaccines Llc A systems and methods for obtaining, storing, processing and utilizing immunologic information of an individual or population
US20090018871A1 (en) * 2005-06-30 2009-01-15 Essig John R Consumer-driven pre-production vaccine reservation system and methods of using a vaccine reservation system
JP6097408B2 (en) * 2013-12-12 2017-03-15 一般社団法人 医科学総合研究所 Vaccine schedule apparatus, vaccine schedule program, and computer-readable recording medium storing the program
CN105045243B (en) * 2015-08-05 2017-08-25 同济大学 A kind of Dynamic Schedule of Semiconductor Fabrication Line device
CN108428024B (en) * 2018-06-08 2021-06-15 重庆科技学院 Emergency resource allocation decision optimization method for irregular emergency under uncertain information
CN109146264B (en) * 2018-08-02 2022-04-08 吉林财经大学 Vaccine resource configuration method and system
CN109242327B (en) * 2018-09-20 2021-06-15 姜龙训 Vaccine management system

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104318355A (en) * 2014-10-11 2015-01-28 广东省生物制品与药物研究所 Vaccine clinical trial management method and system
CN109671489A (en) * 2018-10-30 2019-04-23 厦门理工学院 A kind of vaccine intelligent memory system and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
A forecasting and allocation model for vaccine resource demand;Shyue-Ping Chi等;《 International Journal of Business and Systems Research》;20090615;第3卷(第2期);第186-201页 *
A forecasting model for deciding annual vaccine demand;Ruey-kei chiu等;《2008 fourth international conference on natural computation》;20081107;第107-111页 *

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