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CN109345077A - Health promotion methods and systems for men who have sex with men - Google Patents

Health promotion methods and systems for men who have sex with men Download PDF

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Publication number
CN109345077A
CN109345077A CN201811032930.XA CN201811032930A CN109345077A CN 109345077 A CN109345077 A CN 109345077A CN 201811032930 A CN201811032930 A CN 201811032930A CN 109345077 A CN109345077 A CN 109345077A
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user
hiv infection
friend
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server
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贾忠伟
陆祖宏
闫翔宇
陈露
张波
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Peking University
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    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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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    • G06Q50/01—Social networking

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Abstract

本发明提供了一种男男性行为人群的健康促进方法和系统。该方法包括：用户客户端启动HIV检测结果查询后，向服务端发送携带被查询人(自身，好友)身份标识信息的HIV检测结果查询请求，服务端向其请求的被查询用户客户端发送查询请求信息，被请求好友同意后，服务端返回好友最近时间内的HIV感染情况检测结果；同时服务端根据用户和被查好友的相关信息，利用决策‑模型对该次将要发生的性行为带来的HIV感染风险进行预测，并将预测结果发送给用户客户端。本发明可以实现用户间HIV感染情况的温和告知，使男男性行为人群在知晓对方HIV感染情况的前提下进行交友活动，加强用户对自身健康的重视。

The present invention provides a health promotion method and system for men who have sex with men. The method includes: after the user client starts the HIV detection result query, sending an HIV detection result query request carrying the identity information of the queried person (self, friend) to the server, and the server sends the query to the queried user client requested by it. After requesting information, the server will return the HIV infection detection results of the friend in the most recent period after the requested friend agrees; at the same time, according to the relevant information of the user and the friend being checked, the server will use the decision-model to bring about the sexual behavior that will occur this time. The risk of HIV infection is predicted, and the predicted results are sent to the user client. The invention can realize the gentle notification of HIV infection among users, enable MSM to make friends on the premise of knowing each other's HIV infection, and strengthen users' attention to their own health.

Description

The health promotion method and system of male behavior crowd
Technical field
The present invention relates to the health promotion method of health control technical field more particularly to a kind of male male behavior crowd and System.
Background technique
With the extensive use of friend-making application program, larger change occurs for the friend-making mode of male behavior crowd.Intelligence While the electronic equipments such as mobile phone, computer, Intelligent bracelet make friend-making more convenient and quicker, but also MSM (men who have Sex with men, Men who have sex with men) in group unprotect sexual behaviour it is increasing, this kind of crowd HIV (human Immunodeficiency virus, human immunodeficiency virus) fashion trend become more acute, the crowd society hand over Toward traditional public place such as park, bar, bathroom is no longer confined to, more and more male are same to be more willing to that internet is utilized to carry out It links up and exchanges.External investigation is shown, is much larger than traditional friend-making mode by the ratio (66.3%) that sexual partner is found in internet (33.7%).The novel manner of intercourse such as national survey studies have shown that Blued (15.8%) and wechat (15.1%), in MSM group In frequency of use it is higher, and the ratio of traditional manner of intercourse such as public lavatory, bathroom, bar and park be only followed successively by 1.4%, 2.1%, 2.7% and 4.3%, internet has become the major way for finding sexual partner.This prompt ends in MSM group in the future When Zi Bing relevant knowledge propaganda and education and behavior intervention, emphasis is answered to utilize internet platform.
The principle of " know and inform " is carried out by the World Health Organization, i.e. a side of aids infection should actively tell sexual partner certainly Oneself true infection conditions, and people at highest risk of the MSM group as AIDS, because of the concealment of its group and being not fixed for sexual partner Property, " know and inform " before sexual behaviour occurs is particularly important, but the face-to-face inquiry of two people informs that there is information concealings Risk, and be easy to cause embarrassment with test paper detection face to face.Therefore, it realizes mild friendly " know and inform ", needs a base In internet new media, the convenient and efficient querying method inquired mutually of HIV testing result and management mode can be realized.So And existing male male's behavior group friend-making sites, discussion bar, APP etc. and this not set function on the market, only facilitate friend-making and Mutually about, but it is difficult to control HIV spread.
Summary of the invention
The embodiment of the present invention is designed to provide a kind of a kind of male male's behavior based on internet and big data analysis Crowd (MSM) health promotion method and system reduces user and is making friends to realize the mild informing of HIV infection situation between user A possibility that being infected AIDS in the process.
To achieve the goals above, this invention takes following technical solutions.
According to an aspect of the invention, there is provided a kind of health promotion method of male male behavior crowd, in server-side Store the HIV infection situation testing result of male male behavior user, which comprises
After user client starts self inquiry of HIV testing result, is sent to server-side and carry User Identity information HIV infection situation testing result inquiry request, the server-side returns to the HIV in its certain time to the user client Infection conditions testing result；
The user client is asked to good friend's HIV testing result inquiry that server-side sends carrying good friend's identification information It asks, what server-side was requested to it is queried good friend's client transmission inquiry request information, after being queried good friend's agreement, the service Hold the HIV infection situation testing result into the certain time that the user client returns to the good friend；
The server-side carries out HIV infection wind by decision-model according to the relevant information of the user and the good friend Danger prediction, is sent to the user client for the HIV infection risk profile result of the user and the good friend.
Further, the HIV infection situation testing result that male male behavior user is stored in server-side, comprising:
The HIV infection situation detection of male male behavior user is carried out in the mechanism that puts on record, obtained HIV infection situation is detected As a result it is stored in the HIV testing result database in server-side, the HIV infection situation testing result includes that user is certain Detection time, detection site, testing result, User Identity information and user base data information in period, it is described Testing result includes negative and the positive, and the User Identity information includes the phone number of user, the user base money Material information includes age, educational background, income and the user's friend-making behavioural habits indication information of user.
Further, it after self inquiry of user client starting HIV testing result, sends to carry to server-side and use The HIV infection situation testing result inquiry request of family identification information, the server-side return to it to the user client HIV infection situation testing result in certain time, comprising:
After user client starting HIV testing result is checked oneself, the HIV for carrying User Identity information is sent to server-side Infection conditions testing result inquiry request；
After the server-side receives the HIV infection situation testing result inquiry request, according to the HIV infection situation The identification information of the user carried in testing result inquiry request stores in the HIV testing result database to inquire Corresponding HIV infection situation testing result returns to the detection knot of the HIV infection situation in its certain time to the user client Fruit, if the user has been more than that setting time length threshold does not carry out HIV infection situation detection, the server-side is also to described User client sends the prompting for the long period not carrying out HIV detection.
Further, the user client sends the good friend HIV inspection for carrying good friend's identification information to server-side Result queries request is surveyed, what server-side was requested to it is queried good friend's client transmission inquiry request information, and it is same to be queried good friend After meaning, the server-side returns to the HIV infection situation testing result in the certain time of the good friend to the user client, Include:
The user client sends the good friend's HIV testing result inquiry for the identification information for carrying good friend to server-side After request, after the server-side receives the good friend HIV testing result inquiry request, to the good friend's user client hair being queried HIV infection status inquiry is sent to request, good friend's user client selects to agree to inquire as the case may be or refusal is inquired, will Selection result is sent to the server-side；
When good friend's user client selects to agree to inquiry, the server-side is detected according to the HIV infection situation The identification information of good friend that carries in result queries request inquires the correspondence stored in the HIV testing result database HIV infection situation testing result, returned to the user client in the certain time of the good friend HIV infection situation inspection Survey result: negative or positive and the secondary testing result detection time, if the good friend has been more than setting time length threshold Value does not carry out HIV infection situation detection, then the server-side also sends good friend's long period not to the user client Carry out the prompting of HIV detection；
When good friend's user client select refusal inquiry when, then the server-side to the user client send pair The notification message of side's refusal inquiry.
Further, the server-side according to the relevant information of the user and the good friend by decision-model into The HIV infection risk profile result of the user and the good friend are sent to the user client by row HIV infection risk profile End, comprising:
The server-side is by the Population demographic indicators associated of multiple users of collection, user's friend-making behavioural habits index and society Connection index is separately converted to corresponding various classified variables, constructs decision-using various classified variables by traditional decision-tree Model, the Population demographic indicators associated include: age, educational background and income, and user's friend-making behavioural habits index includes: inquiry Operation place when good friend's testing result；The user of GIS-Geographic Information System positioning and neighbouring hotel distance；Inquire good friend when Between whether be frequent night；Whether often appear near hotel or bar；User is at a distance from neighbouring infected by HIV user；Good friend The frequency mutually looked into；The number of infected by HIV user around user, the social bond index include: relationship density, degree centrad And popularity；
The server-side by the user, the Population demographic indicators associated of the good friend, user's friend-making behavioural habits index and Social bond index is input to the decision-model built, which exports the HIV infection of the user, the good friend Risk profile is as a result, the HIV infection risk profile result includes: HIV infection high risk or temporarily without HIV infection high risk.
According to another aspect of the present invention, the health promotion system of male male behavior crowd a kind of is provided, comprising: more A user client and server-side；
The user client, for being sent to server-side and carrying user after self inquiry of starting HIV testing result The HIV infection situation testing result inquiry request of identification information receives one timing of the user that the server-side returns Interior HIV infection situation testing result；The good friend's HIV testing result for carrying good friend's identification information is also sent to server-side Inquiry request receives the HIV infection situation testing result in the certain time for the good friend that the server-side returns；
The server-side is queried good friend for sending inquiry request information to the good friend's client that is queried of request After agreement, the HIV infection situation testing result in the certain time of the good friend is returned to the user client；Storage male male The HIV infection situation testing result of sexual behaviour user passes through decision-model according to the relevant information of the user and the good friend HIV infection risk profile is carried out, the HIV infection risk profile result of the user and the good friend are sent to the user visitor Family end.
Further, the server-side includes:
HIV infection situation testing result storage unit, the HIV for carrying out male male behavior user by the mechanism that puts on record feel Situation detection is contaminated, obtained HIV infection situation testing result is stored in the HIV testing result database in server-side, institute The HIV infection situation testing result stated includes detection time, detection site, testing result, user in user's certain period of time Identification information and user base data information, the testing result include negative and positive, the User Identity letter Breath includes the phone number of user, and the user base data information includes age, educational background, income and the user's friend-making row of user To be accustomed to indication information.
Further, the server-side further include: HIV infection situation testing result query unit；
HIV infection situation testing result query unit, for receiving the user client starting HIV testing result After the HIV infection situation testing result inquiry request sent after self inquiry, inquired according to the HIV infection situation testing result The identification information of the user carried in request is felt to inquire the corresponding HIV stored in the HIV testing result database Situation testing result is contaminated, the HIV infection situation testing result in its certain time is returned to the user client, if the use Family has been more than that setting time length threshold does not carry out HIV infection situation detection, then the server-side is also to the user client The transmission long period does not carry out the prompting of HIV detection.
Further, the HIV infection situation testing result query unit, is also used to receive the user client After good friend's HIV testing result inquiry request of the identification information of the carrying good friend of transmission, to the good friend user visitor being queried Family end sends the request of HIV infection status inquiry, and good friend's user client selects to agree to inquire or refuse as the case may be Inquiry, is sent to the server-side for selection result；
When good friend's user client selects to agree to inquiry, asked according to HIV infection situation testing result inquiry The identification information of the good friend of carrying is sought to inquire the corresponding HIV infection stored in the HIV testing result database Situation detection, returns to the HIV infection situation testing result in the certain time of the good friend to the user client: it is negative or The detection time of person's positive and the secondary testing result, if the good friend has been more than that setting time length threshold does not carry out HIV sense Situation detection is contaminated, then also sends the prompting that good friend's long period do not carry out HIV detection to the user client；
When good friend's user client selects refusal inquiry, then addressee refuses inquiry is sent to the user client Notification message.
Further, the server-side further include:
HIV infection risk profile unit, the Population demographic indicators associated of multiple users for that will collect, user's friend-making behavior Habit index and social bond index are separately converted to corresponding various classified variables, utilize various classification by traditional decision-tree Variable constructs decision-model, and the Population demographic indicators associated includes: age, educational background and income, user's friend-making behavioural habits Index includes: operation place when inquiring good friend's testing result；The user of GIS-Geographic Information System positioning and neighbouring hotel distance； Whether the time for inquiring good friend is frequent night；Whether often appear near hotel or bar；User and neighbouring infected by HIV user Distance；The frequency that good friend mutually looks into；The number of infected by HIV user around user, the social bond index include: that relationship is close Degree, degree centrad and popularity；
The user, the Population demographic indicators associated of the good friend, user's friend-making behavioural habits index and social bond are referred to Mark is input to the decision-model built, which exports the HIV infection risk profile knot of the user, the good friend Fruit, the HIV infection risk profile result include: HIV infection high risk or temporarily without HIV infection high risk.
As can be seen from the technical scheme provided by the above-mentioned embodiment of the present invention, the embodiment of the invention provides one kind to be based on Male's behavior crowd (MSM) health promotion method and system of internet and big data analysis, to realize HIV infection between user The mild informing of situation makes male's behavior crowd carry out make friend activity under the premise of knowing other side's HIV infection situation, improves User reinforces attention of the user to own health, reduces user's quilt during friend-making to the understanding and cognition of aids prevention A possibility that infecting AIDS.
The additional aspect of the present invention and advantage will be set forth in part in the description, these will become from the following description Obviously, or practice through the invention is recognized.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, required use in being described below to embodiment Attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only one embodiment of the present of invention, for this For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others Attached drawing.
Fig. 1 is male's behavior crowd (MSM) of a kind of server-side and user client provided in an embodiment of the present invention The flow chart of health promotion method.
Fig. 2 provides a kind of functional module frame of male male's behavior crowd (MSM) health promotion system for the embodiment of the present invention Figure；
Fig. 3 provides a kind of process realization principle of server-side progress HIV infection risk profile early warning for the embodiment of the present invention Schematic diagram；
Fig. 4 is a kind of structural schematic diagram of the health promotion system of male male behavior crowd provided in an embodiment of the present invention, In figure, user client 41, server-side 42, HIV infection situation testing result storage unit 421, HIV infection situation testing result Query unit 422 and HIV infection risk profile unit 423.
Specific embodiment
Embodiments of the present invention are described below in detail, the example of the embodiment is shown in the accompanying drawings, wherein from beginning Same or similar element or element with the same or similar functions are indicated to same or similar label eventually.Below by ginseng The embodiment for examining attached drawing description is exemplary, and for explaining only the invention, and is not construed as limiting the claims.
Those skilled in the art of the present technique are appreciated that unless expressly stated, singular " one " used herein, " one It is a ", " described " and "the" may also comprise plural form.It is to be further understood that being arranged used in specification of the invention Diction " comprising " refer to that there are the feature, integer, step, operation, element and/or component, but it is not excluded that in the presence of or addition Other one or more features, integer, step, operation, element, component and/or their group.It should be understood that when we claim member Part is " connected " or when " coupled " to another element, it can be directly connected or coupled to other elements, or there may also be Intermediary element.In addition, " connection " used herein or " coupling " may include being wirelessly connected or coupling.Wording used herein "and/or" includes one or more associated any cells for listing item and all combinations.
Those skilled in the art of the present technique are appreciated that unless otherwise defined, all terms used herein (including technology art Language and scientific term) there is meaning identical with the general understanding of those of ordinary skill in fields of the present invention.Should also Understand, those terms such as defined in the general dictionary, which should be understood that, to be had and the meaning in the context of the prior art The consistent meaning of justice, and unless defined as here, it will not be explained in an idealized or overly formal meaning.
In order to facilitate understanding of embodiments of the present invention, it is done by taking several specific embodiments as an example below in conjunction with attached drawing further Explanation, and each embodiment does not constitute the restriction to the embodiment of the present invention.
Embodiment one
The embodiment of the present invention provides a kind of health promotion method of male male's behavior crowd (MSM), is applied to mutual The server-side and multiple user clients of communication connection are carried out, the realization principle schematic diagram of this method is as shown in Fig. 2, specific processing Process is as shown in Figure 1, include following processing step:
Step S110: male's behavior user carries out the detection of HIV infection situation, the HIV infection that will be obtained in the mechanism that puts on record Situation testing result is stored in the HIV testing result database in server-side, and the HIV infection situation testing result includes Detection time, detection site, testing result, User Identity information and user base data letter in user's certain period of time Breath, the testing result include negative and the positive, and the User Identity information includes the phone number of user, the user Base data information includes the information such as age, educational background, income and the user's friend-making behavioural habits index of user.
Step S120: it after user client starting HIV testing result is checked oneself, is sent to server-side and carries User Identity The HIV infection situation testing result inquiry request of information, above-mentioned User Identity information can be cell-phone number.
After the server-side receives above-mentioned HIV infection situation testing result inquiry request, according to the identity of user Information come search stored in HIV testing result database all previous testing result to match therewith (including detection time, detection ground Point, testing result), and issue user client.The source of above-mentioned testing result is disease prevention and control center or has put on record Testing result under the line of social organization.If user has been more than setting time length threshold, (such as three months) do not carry out HIV infection Situation detection, server-side will be to the prompting of user client " long period does not carry out HIV detection ".
Step S130: the user client sends the good friend HIV detection for carrying good friend's identification information to server-side After result queries request, after server-side receives above-mentioned good friend HIV testing result inquiry request, then server-side is upper to what is be queried It states good friend's user client and initiates " testing result inquiry application ", the good friend user being queried can select " same as the case may be Meaning inquiry " or " refusal inquiry ", selection result is received by service end；
Assuming that issuer's inquiry is agreed to by the side of being queried, the newest primary HIV in the side of being queried can be detected note by the server-side The user client of inquiry is issued in record, and issuer can be sentenced by testing result (negative, positive) and detection time synthesis It is disconnected, realize " know and make friends ".Under the premise of the side of being queried agrees to inquire, if the side of being queried does not carry out HIV in three months or more Detection, server-side can send prompt " other side do not detect by the long period, it is noted that behavior safety " to issuer.Assuming that quilt Inquiry selects refusal inquiry, then the user client of inquiry will receive the processing of " the addressee refuses inquiry " of server-side transmission Opinion.Here the information of query feedback only has the HIV testing result (negative/positive) and the detection of the secondary testing result of good friend The detailed demographic data of good friend and behavioural information will not be fed back to issuer by the time.
Step S140: terminate after HIV infection situation between above-mentioned good friend mutually looks into, user carries out make friend activity.
Step S150: above-mentioned server-side collects the relevant information of user, which includes: inquiry good friend's testing result When operation place, user and neighbouring hotel distance, inquiry good friend time whether be frequent night, whether often appear in guest Shop or bar are nearby, user is at a distance from neighbouring infected by HIV user, infected by HIV user around the number that good friend mutually looks into and user Number, server-side according to collect user relevant information construct decision-model.Then, server-side is according to user and described good The relevant information of friend carries out HIV infection Risk-warning by decision-model, by the HIV infection wind of the user and the good friend Dangerous early warning result is sent to the user client.
Above-mentioned server-side carries out the process realization principle schematic diagram of HIV infection Risk-warning as shown in figure 3, specific processed Journey includes:
HIV infection Risk-warning module: be collected into early period using system user population statistics (age, educational background, Income etc.), appointment behavioural habits data of making friends (frequency etc. is mutually looked into the place of inquiry good friend's testing result) and using between user The measurement index (centrality, popularity etc.) for mutually looking into the constructed community network of record, application decision tree algorithm is common to construct " HIV infection risk " decision-model.After the completion of the decision-model construction, it can be made according to the essential information and system of each user Processing on real-time calculating is carried out with record, index of correlation is dynamically substituted into " HIV infection risk " decision-model, is commented personalizedly Estimate whether the user has high HIV infection risk.If result prompts " high HIV infection risk ", this module of system will be to user Client sends " HIV infection high risk " prompt, and pushes and pay attention to the prompting of behavior safety, the article of aids prevention, safety The contents such as the application method of set realize personal HIV infection risk real-time early warning."
One, HIV infection Risk-warning module
This module constructs decision-model using C4.5 traditional decision-tree to carry out early warning to user's infection risk.
(1) it is included in decision-model index
1. first part's index: the population statistics in subscriber data that system is collected, the index being included in have:
1) age, 2) educational background, 3) income.
Wherein, 1) age and 3) income two indices when constructing decision-model according to the overall condition of all users into Row classification, brings decision-model into after being converted into classified variable.
2. second part index: user's friend-making behavioural habits index, when the user collected using system is using mutually function is looked into Query time, inquiry place and surrounding's other users situation for being arrived according to time and location information capture of system, construction and integration 7 indexs below out:
4) inquire operation place when good friend's testing result, 5) user of GIS-Geographic Information System positioning and neighbouring hotel away from From 6) whether time of inquiry good friend be frequent night, 7) whether often appear near hotel or bar, 8) user and sense nearby Contaminate the distance of HIV user, 9) frequency mutually looked into of good friend, 10) around user infected by HIV user number.
In addition to 6 in These parameters) inquiry good friend time whether be frequent night and 7) whether often appear in hotel or Near bar, remaining 5 index is both needed to be classified when constructing model according to the overall condition of all users, is converted into classification Bring decision-model after variable into.
3. Part III index: the social bond index calculated by constructing community network, it is useful according to institute in system Record (issuer, the side of being queried, inquiry times) is mutually looked into as connection (side in social networks) in family, constructs oriented " system user related network ".According to the inquiry interaction scenario between user, pass through network locating for the following index measuring and calculating user User's concentration, user status in a network, the user and other users contact close situation etc., society is joined Mean that mark is brought into decision-model.Specific targets and calculation method are as follows:
11) relationship density (D)
The index is in the network where measuring the user, the tightness degree of the connection of all users in network.Measuring and calculating Formula is as follows:
Note: ∑ Lω- it is all have inquiry connection user all assignment (inquiry times) summation
12) degree centrad [CD(Ni)】
Possess the network of g user, the degree centrad [C of user for oneD(Ni)] it is i and other g-1 other use Proactive contact (the issuing inquiry application) sum at family.Measure equation is as follows:
Note: user i to the inquiry sum issued between user j be xij
Change the influence to degree centrad for elimination network size, it be standardized, formula is as follows:
13) intimate centrad [CC(Ni)】
It is reflected in the degree of closeness in a community network between a certain user and other users.Possess g for one The network of user, the intimate centrad [C of userC(Ni)] measure equation is as follows:
Note: d (Ni, Nj) between user i and user j connection can be realized in this network according to existing request for information Need by minimal user number.
Standardize intimate centrad:
C′C(Ni)=(g-1) CC(Ni) (1.5)
14) popularity (PD)
It is reflected in the sum that user and other users in a community network passively contact and (receive inquiry application).For one A network for possessing g user, measure equation are as follows:
Note: xjiThe inquiry sum of user j sending is received for user i；
PD(Ni) minimum value be 0.0, maximum value g-1.
Standardize popularity:
Note: P 'D(Ni) minimum value be 0.0, maximum value 1.0.
For above-mentioned 11) -14), it need to be classified when constructing model according to the overall condition of all users, be converted into point Bring decision-model after class variable into.
(2) " HIV infection risk " decision-model construction
With the HIV testing result [infected by HIV (positive) is uninfected by HIV (feminine gender)] of user for final decision final result, utilize C4.5 traditional decision-tree constructs " HIV infection risk " decision-model.
The attribute (node) for being included in decision tree-is above-mentioned 1) -14) this 14 variables, according to this 14 variables to system The data for implementing to be collected into early period are aggregated, and are grouped data by quantitative data reasonable conversion.
The basic step of decision tree building is as follows:
Step 1 constructs the training example set T of decision tree using the data being collected into early period.
Step 2 selects the attribute that can most distinguish example in T by computer first in 14 variables being included in.
Step 3 creates a tree node, is worth for the selected attribute of previous step.Create the subchain of this node, each subchain Represent an only value of selected properties.Using the value of subchain, example is further subdivided into subclass.
Each subclass that step 4 creates step 3:
1. if the example in subclass meets predefined standard, alternatively, the optional category of residue of this paths of if tree Property collection be sky, for along this decision path new example specify classification.
2. if subset is unsatisfactory for predefined standard and at least one attribute can further segment the path of tree, if T is current subclass example collection, return step 2.
Wherein, in step 2, attribute selection is carried out according to level and the number of nodes minimum of tree, Data generalization maximization principle, Information gain-ratio is calculated to all available attributes first when selection, the maximum attribute of ratio of profit increase is selected to divide data.Repeatedly Operation, until filtering out proper attribute.The formula of the ratio of profit increase [GainRatio (A)] of computation attribute (A) is as follows:
For one group of I example
Gain (A)=Info (I)-Info (I, A) (1.9)
Note: Info (I)-includes the information in current detected example collection；
Info (I, A)-divides the information after the example in I according to the possible outcome of attribute A.
For n possible classes (class)
After I is divided into k output result
Finally, after algorithm iteration and data test, filter out that be used as decision tree at different levels in 14 attributes The attribute of (each branch) node builds " HIV infection risk " decision-model.
(3) " HIV infection risk " decision-model utilization
After the completion of decision-model foundation, " HIV infection Risk-warning module " will be supplied to the last time HIV in system Testing result is that negative user uses, when system will use " good friend's HIV testing result informs module " function in user, according to The attribute (node) that decision-model is included in, collection and processed user relevant information, and decision tree is utilized to carry out analysis and assessment.Clothes Business end is defeated by the user, the Population demographic indicators associated of the good friend, user's friend-making behavioural habits index and social bond index Enter to the decision-model built, the decision-model export the user, the good friend HIV infection Risk-warning as a result, The HIV infection Risk-warning result includes: HIV infection high risk or temporarily without HIV infection high risk.
If after the correlation attribute value of the user is included in decision-model, be directed toward " HIV infection ", system will be to user client End issues the early warning of " HIV infection high risk ", and explains to the generation of early warning, and push is also paid attention to mentioning for behavior safety The contents such as awake, the article of aids prevention, condom application method are realized personal HIV infection risk real-time early warning, are conducive to Reduce the generation of user's HIV infection hazardous act.Risk judgment is carried out by following equation:
Risk=DT (x1, x2..., xn) (1.13)
Note: decision-model comprising n attribute that DT-is set up；
x1, x2..., xn- it is collected into the n attribute information value of user；
Risk-HIV infection risk, being worth is 0 or 1, and " 1 " is " HIV infection high risk ",
" 0 " is " temporarily without HIV infection high risk ".
Two, the recruitment evaluation of invention practical application
After being applied in real intervention practice by method and mode of the invention, using Cox proportion risk regression mould Type analyzes the case where intervention group and non-intervention group, assesses intervention effect.Its formula is as follows:
H (t, X)=h0(t)exp(β1x1+β2x2+…+βmxm) (2.1)
Note: relative risk of h (t, X)-covariant X individual in moment t；
h0(t)-baseline risk rate, covariant x1, x2..., xmRelative risk when being 0；
β1, β2..., βmThe partial regression coefficient of-independent variable.
Above formula can be further converted into:
Ln [h (t, X)/h0(t)]=β1x1+β2x2+…+βmxm (2.2)
The calculating of intervention effect index RR:
Note: RR > 1, the factor are risk factor；RR < 1, the factor are protection factor；RR=1, the factor be it is unrelated because Element.
" whether using this interference method " is the classification foundation of intervention group and non-intervention group, if " using this interference method " is Sexual factor is protected, can reduce the HIV infection risk of MSM, then can illustrate that this interference method and system have preferably using valence Value and social benefit.
Preferably, the method also includes following steps:
Step 1: disease prevention and control center or the social organization to have put on record carry out user to detect under the line of HIV infection, The information memory cell of testing result typing server-side；Step 2: user is registered and is logged in cell-phone number；Step 3: user with Family client checks that itself HIV testing result, result are arranged according to detection time inverted order, and newest testing result is in list The first row.If user is not there are three HIV detection more than the moon is carried out, server-side sends prompting message to user client, mentions Show that content is " you already exceed three months and do not detect, it is proposed that detect as early as possible ".Step 4: user query good friend's testing result obtains After the side of being queried is agreed to, user client can show that the pet name, specific query time, the testing result of HIV for the person of being queried are (negative Property or the positive), inquiry application record inverted order can arrange in chronological order, and new application is upper, and application before is under；Step 5: Make friend activity is carried out between user；Step 6: server-side collects user related information, passes through decision-model evaluation user's HIV infection Risk pushes the prompting for paying attention to behavior safety, the article and video for recognizing and preventing AIDS, to the higher user of risk with reality Existing risk intervention；
Preferably, the user client include mobile phone user's client, pad user client, computer user client, Intelligent bracelet user client.
Preferably, the LNMP system of the server-side, since it is considered that the selection of concurrent and big data problem uses Nginx Server-side；HIV testing result database uses relationship type HIV testing result database MySQL；In view of project process and need It asks, team's selection is developed with PHP language；Select the thinkphp5 frame operated with composer.
Preferably, the step of the method also includes the automatic upload user current location of user client to server-sides.
Embodiment two
Step S210 has 800 people of male's behavior personnel in the men homosexuality tissue of one, certain city, they are in having put on record Mechanism carries out the detection of HIV infection situation, and testing result is stored in the server-side.
The mechanism that put on record includes disease prevention and control center, the social organization to have put on record etc.；The testing result packet Include detection time, detection site, feminine gender or the positive；The user client includes mobile phone user's client, Intelligent bracelet use Family client, pad user client, computer user client.
Step S220, after the user client starting HIV testing result is checked oneself, the server-side is according to the identity of user Identifier searches all previous testing result for storing in HIV testing result database and matching therewith, and issues user client.
After self inquiry of user client starting HIV testing result, the server-side is according to the identification of user Number (cell-phone number) stores all previous testing result to match therewith (including detection time, inspection to search in HIV testing result database Geodetic point, testing result), and issue user client.If user did not detected more than three months, server-side will be to user The prompting of client " long period does not carry out HIV detection ".
Step S230, after user client starts the inquiry of good friend HIV testing result, server-side receives inquiry request, if by Issuer agrees to inquiry, and the newest primary HIV detection record in the side of being queried can be issued the user visitor of inquiry by the server-side Family end.
After the user client starting good friend HIV testing result inquiry, server-side receives inquiry request, then server-side " testing result inquiry application " is initiated to user client is queried, " agreeing to inquiry " can be selected as the case may be by being queried Or " refusal inquiry ", selection result is received by service end.Assuming that issuer's inquiry is agreed to by the side of being queried, the server-side can be incited somebody to action The newest primary HIV detection record in the side of being queried issues the user client of inquiry, and issuer can pass through testing result (yin Property, the positive) and detection time synthesis judged, realize " know make friends ".Under the premise of the side of being queried agrees to inquire, if by HIV detection is not carried out within issuer three months or more, and server-side can send prompt to issuer, and " long period does not carry out other side Detection, it is noted that behavior safety ".Assuming that the person of being queried selects refusal inquiry, then the user client of inquiry will receive service Hold the handling suggestion of " the addressee refuses inquiry " that sends.
Step S240 terminates user's progress-make friend activity after HIV infection situation between above-mentioned good friend mutually looks into.
Embodiment three
The structural schematic diagram of the health promotion system for male male behavior crowd that the embodiment provides a kind of as shown in figure 4, It include: multiple user clients 41 and server-side 42；
The user client 41, for sending to carry to server-side and use after self inquiry of starting HIV testing result It is certain to receive the user that the server-side returns for the HIV infection situation testing result inquiry request of family identification information HIV infection situation testing result in time；
The server-side 42, for storing the HIV infection situation testing result of male behavior user, according to the use The relevant information of family and the good friend carry out HIV infection risk profile by decision-model, by the user and the good friend HIV infection risk profile result is sent to the user client.
Specifically, the server-side 42 includes: HIV infection situation testing result storage unit 421, HIV infection situation Testing result query unit 422 and HIV infection risk profile unit 423.
HIV infection situation testing result storage unit 421, for carrying out male male behavior user's by the mechanism that puts on record The detection of HIV infection situation, the HIV testing result database obtained HIV infection situation testing result being stored in server-side In, the HIV infection situation testing result include detection time in user's certain period of time, detection site, testing result, User Identity information and user base data information, the testing result include negative and positive, the user identity mark Know the phone number that information includes user, the user base data information includes that age, educational background, income and the user of user hands over Friendly behavioural habits indication information.
HIV infection situation testing result query unit 422；HIV infection situation testing result query unit, for receiving After the HIV infection situation testing result inquiry request sent after being checked oneself to user client starting HIV testing result, according to The identification information of the user carried in the HIV infection situation testing result inquiry request is tied to inquire the HIV detection The corresponding HIV infection situation testing result stored in fruit database, returns in its certain time to the user client HIV infection situation testing result, if the user has been more than that setting time length threshold does not carry out HIV infection situation detection, The server-side does not carry out the prompting of HIV detection also to the user client transmission long period.
It is also used to receive the good friend HIV detection knot of the identification information for the carrying good friend that the user client is sent After fruit inquiry request, the request of HIV infection status inquiry, the good friend user client are sent to the good friend's user client being queried Inquiry or refusal inquiry are agreed in selection as the case may be at end, and selection result is sent to the server-side；
When good friend's user client selects to agree to inquiry, asked according to HIV infection situation testing result inquiry The identification information of the good friend of carrying is sought to inquire the corresponding HIV infection stored in the HIV testing result database Situation detection, the HIV infection situation testing result in the certain time of the good friend is returned to the user client, if described Good friend has been more than that setting time length threshold does not carry out HIV infection situation detection, then also to described in user client transmission Good friend's long period does not carry out the prompting of HIV detection；
When good friend's user client selects refusal inquiry, then addressee refuses inquiry is sent to the user client Notification message.
HIV infection risk profile unit 423, the Population demographic indicators associated of multiple users for that will collect, user make friends Behavioural habits index and social bond index are separately converted to corresponding various classified variables, are determined using the building of various classified variables Plan-model, the Population demographic indicators associated include: age, educational background and income, and user's friend-making behavioural habits index includes: Inquire operation place when good friend's testing result；The user of GIS-Geographic Information System positioning and neighbouring hotel distance；Inquire good friend Time whether be frequent night；Whether often appear near hotel or bar；User is at a distance from neighbouring infected by HIV user； The frequency that good friend mutually looks into；The number of infected by HIV user around user, the social bond index include: relationship density, in degree Heart degree and popularity；
The user, the Population demographic indicators associated of the good friend, user's friend-making behavioural habits index and social bond are referred to Mark is input to the decision-model built, which exports the HIV infection risk profile knot of the user, the good friend Fruit, the HIV infection risk profile result include: HIV infection high risk or temporarily without HIV infection high risk.
The detailed process and preceding method of the health promotion of male male behavior crowd are carried out with the system of the embodiment of the present invention Embodiment is similar, and details are not described herein again.
In conclusion the present invention provides a kind of male's behavior crowd (MSM) based on internet and big data analysis Health promotion method and system is knowing that male's behavior crowd pair to realize the mild informing of HIV infection situation between user Make friend activity is carried out under the premise of square HIV infection situation, is improved user to the understanding and cognition of aids prevention, is reinforced user couple The attention of own health reduces a possibility that user is infected AIDS during friend-making.
The embodiment of the present invention is utilized by the HIV infection situation testing result in the male male behavior user of server-side storage Information exchange between server-side and user client can be realized the convenient and efficient querying method inquired mutually of HIV testing result And management mode.
The foregoing is only a preferred embodiment of the present invention, but scope of protection of the present invention is not limited thereto, In the technical scope disclosed by the present invention, any changes or substitutions that can be easily thought of by anyone skilled in the art, It should be covered by the protection scope of the present invention.Therefore, protection scope of the present invention should be with scope of protection of the claims Subject to.

Claims (10)

1.一种男男性行为人群的健康促进方法，其特征在于，在服务端存储男男性行为用户的HIV感染情况检测结果，所述方法包括：1. the health promotion method of a MSM crowd is characterized in that, the HIV infection situation detection result of the MSM user is stored in the server, and the method comprises: 用户客户端启动HIV检测结果自我查询后，向服务端发送携带用户身份标识信息的HIV感染情况检测结果查询请求，所述服务端向所述用户客户端返回其一定时间内的HIV感染情况检测结果；After the user client initiates the self-inquiry of the HIV detection result, it sends the HIV infection detection result query request carrying the user identification information to the server, and the server returns the HIV infection detection result within a certain period of time to the user client ; 所述用户客户端向服务端发送携带好友身份标识信息的好友HIV检测结果查询请求，服务端向其请求的被查询好友客户端发送查询请求信息，被查询好友同意后，所述服务端向所述用户客户端返回所述好友的一定时间内的HIV感染情况检测结果；The user client sends a friend HIV test result query request carrying the friend's identification information to the server, and the server sends the query request information to the queried friend's client. The user client returns the HIV infection detection result of the friend within a certain period of time; 所述服务端根据所述用户和所述好友的相关信息通过决策-模型进行HIV感染风险预测，将所述用户和所述好友的HIV感染风险预测结果发送给所述用户客户端。The server performs HIV infection risk prediction through a decision-model according to the relevant information of the user and the friend, and sends the HIV infection risk prediction result of the user and the friend to the user client. 2.根据权利要求1所述的方法，其特征在于，所述的在服务端存储男男性行为用户的HIV感染情况检测结果，包括：2. method according to claim 1, is characterized in that, the described HIV infection situation detection result of the described service terminal storage MSM user, comprises: 在备案机构进行男男性行为用户的HIV感染情况检测，将得到的HIV感染情况检测结果存储于服务端中的HIV检测结果数据库中，所述的HIV感染情况检测结果包括用户一定时间段内的检测时间、检测地点、检测结果、用户身份标识信息和用户基础资料信息，所述检测结果包括阴性和阳性，所述用户身份标识信息包括用户的手机号码，所述用户基础资料信息包括用户的年龄、学历、收入和用户交友行为习惯指标信息。The HIV infection status of MSM users is tested at the filing institution, and the obtained HIV infection status detection results are stored in the HIV detection result database in the server. The HIV infection status detection results include the user's detection within a certain period of time. time, test location, test result, user identification information and user basic profile information, the test result includes negative and positive, the user identification information includes the user's mobile phone number, and the user basic profile information includes the user's age, Information on educational background, income and user's friendship behavior indicators. 3.根据权利要求2所述的方法，其特征在于，所述的用户客户端启动HIV检测结果自我查询后，向服务端发送携带用户身份标识信息的HIV感染情况检测结果查询请求，所述服务端向所述用户客户端返回其一定时间内的HIV感染情况检测结果，包括：3. method according to claim 2, is characterized in that, after described user client starts HIV detection result self-inquiry, sends the HIV infection situation detection result inquiry request that carries user identification information to server, described service The terminal returns the HIV infection detection results within a certain period of time to the user client, including: 用户客户端启动HIV检测结果自查后，向服务端发送携带用户身份标识信息的HIV感染情况检测结果查询请求；After the user client starts the HIV test result self-check, it sends the HIV infection test result query request carrying the user identification information to the server; 所述服务端接收到所述HIV感染情况检测结果查询请求后，根据所述HIV感染情况检测结果查询请求中携带的用户的身份标识信息来查询所述HIV检测结果数据库中存储的对应的HIV感染情况检测结果，向所述用户客户端返回其一定时间内的HIV感染情况检测结果，若所述用户已超过设定时间长度阈值未进行HIV感染情况检测，则所述服务端还向所述用户客户端发送较长时间未进行HIV检测的提醒。After the server receives the HIV infection detection result query request, it queries the corresponding HIV infection stored in the HIV detection result database according to the user's identity information carried in the HIV infection detection result query request. If the user has exceeded the set time length threshold and has not been tested for HIV infection, the server will also report to the user. The client sends a reminder that the HIV test has not been performed for a long time. 4.根据权利要求2所述的方法，其特征在于，所述的用户客户端向服务端发送携带好友身份标识信息的好友HIV检测结果查询请求，服务端向其请求的被查询好友客户端发送查询请求信息，被查询好友同意后，所述服务端向所述用户客户端返回所述好友的一定时间内的HIV感染情况检测结果，包括：4. method according to claim 2, is characterized in that, described user client sends the friend HIV detection result inquiry request that carries friend's identification information to server, and the server sends to the queried friend client of its request. After the query request information is approved by the query friend, the server returns the HIV infection detection result of the friend within a certain period of time to the user client, including: 所述用户客户端向服务端发送携带好友的身份标识信息的好友HIV检测结果查询请求后，所述服务端收到所述好友HIV检测结果查询请求后，向被查询的好友用户客户端发送HIV感染情况查询请求，所述好友用户客户端根据具体情况选择同意查询或拒绝查询，将选择结果发送给所述服务端；After the user client sends the friend's HIV test result query request carrying the friend's identity information to the server, the server sends the HIV test result query request to the friend's user client to be queried after receiving the friend's HIV test result query request. Infection situation query request, the friend user client chooses to agree to the query or reject the query according to the specific situation, and sends the selection result to the server; 当所述好友用户客户端选择同意查询时，所述服务端根据所述HIV感染情况检测结果查询请求中携带的好友的身份标识信息来查询所述HIV检测结果数据库中存储的对应的HIV感染情况检测结果，向所述用户客户端返回所述好友的一定时间内的HIV感染情况检测结果:阴性或者阳性.以及该次检测结果的检测时间，若所述好友已超过设定时间长度阈值未进行HIV感染情况检测，则所述服务端还向所述用户客户端发送所述好友较长时间未进行HIV检测的提醒；When the friend user client chooses to agree to the query, the server queries the corresponding HIV infection status stored in the HIV detection result database according to the friend's identity information carried in the HIV infection status detection result query request Test result, return to the user client the test result of HIV infection within a certain period of time of the friend: negative or positive. And the test time of this test result, if the friend has exceeded the set time length threshold and did not carry out HIV infection detection, the server also sends a reminder to the user client that the friend has not been tested for HIV for a long time; 当所述好友用户客户端选择拒绝查询时，则所述服务端向所述用户客户端发送对方拒绝查询的通知消息。When the friend user client chooses to reject the query, the server sends a notification message that the other party rejects the query to the user client. 5.根据权利要求1至4任一项所述的方法，其特征在于，所述的服务端根据所述用户和所述好友的相关信息通过决策-模型进行HIV感染风险预测，将所述用户和所述好友的HIV感染风险预测结果发送给所述用户客户端，包括：5. The method according to any one of claims 1 to 4, wherein the server performs HIV infection risk prediction through a decision-model according to the relevant information of the user and the friend, and the user and the HIV infection risk prediction result of the friend is sent to the user client, including: 所述服务端将收集的多个用户的人口统计学指标、用户交友行为习惯指标和社会联系指标分别转化为对应的各种分类变量，通过决策树方法利用各种分类变量构建决策-模型，所述人口统计学指标包括：年龄、学历和收入，所述用户交友行为习惯指标包括：查询好友检测结果时的操作地点；地理信息系统定位的用户与附近的宾馆距离；查询好友的时间是否为经常夜晚；是否常出现在宾馆或酒吧附近；用户与附近感染HIV用户的距离；好友互查的频率；用户周围感染HIV用户的人数，所述社会联系指标包括：关系密度、程度中心度和声望；The server converts the collected demographic indicators, user friend-making behavior habit indicators and social connection indicators of multiple users into corresponding various classification variables, and uses various classification variables to construct a decision-model through the decision tree method. The demographic indicators include: age, education, and income, and the indicators of user making friends behavior habits include: the operating location when querying the detection results of friends; the distance between the user located by the geographic information system and the nearby hotels; whether the time for querying friends is frequent night; whether they often appear near hotels or bars; the distance between the user and the nearby HIV-infected users; the frequency of mutual checks among friends; the number of HIV-infected users around the user, the social connection indicators include: relationship density, degree centrality, and prestige; 所述服务端将所述用户、所述好友的人口统计学指标、用户交友行为习惯指标和社会联系指标输入到构建好的决策-模型，该决策-模型输出所述用户、所述好友的HIV感染风险预测结果，该HIV感染风险预测结果包括：HIV感染高风险或者暂无HIV感染高风险。The server inputs the demographic indicators of the user and the friend, the user's friend-making behavioral habit indicator and the social connection indicator into the constructed decision-model, and the decision-model outputs the HIV of the user and the friend. Infection risk prediction results, the HIV infection risk prediction results include: high risk of HIV infection or no high risk of HIV infection temporarily. 6.一种男男性行为人群的健康促进系统，其特征在于，包括：多个用户客户端和服务端；6. A health promotion system for men who have sex with men, comprising: a plurality of user clients and a server; 所述的用户客户端，用于在启动HIV检测结果自我查询后，向服务端发送携带用户身份标识信息的HIV感染情况检测结果查询请求，接收所述服务端返回的所述用户一定时间内的HIV感染情况检测结果；还向服务端发送携带好友身份标识信息的好友HIV检测结果查询请求，接收所述服务端返回的所述好友的一定时间内的HIV感染情况检测结果；The user client is used to send an HIV infection detection result query request carrying the user identification information to the server after starting the self-inquiry of the HIV detection result, and receive the user's response within a certain period of time returned by the server. HIV infection detection result; also send a friend HIV detection result query request carrying friend identification information to the server, and receive the HIV infection detection result of the friend within a certain period of time returned by the server; 所述的服务端，用于向请求的被查询好友客户端发送查询请求信息，被查询好友同意后，向所述用户客户端返回所述好友的一定时间内的HIV感染情况检测结果；存储男男性行为用户的HIV感染情况检测结果，根据所述用户和所述好友的相关信息通过决策-模型进行HIV感染风险预测，将所述用户和所述好友的HIV感染风险预测结果发送给所述用户客户端。The server is configured to send query request information to the requested friend's client to be queried, and after the friend to be queried agrees, return the HIV infection detection result of the friend within a certain period of time to the user client; HIV infection detection results of male sex users, HIV infection risk prediction is carried out through a decision-model according to the relevant information of the user and the friend, and the HIV infection risk prediction result of the user and the friend is sent to the user client. 7.根据权利要求6所述的系统，其特征在于，所述的服务端包括：7. The system according to claim 6, wherein the server comprises: HIV感染情况检测结果存储单元，用于通过备案机构进行男男性行为用户的HIV感染情况检测，将得到的HIV感染情况检测结果存储于服务端中的HIV检测结果数据库中，所述的HIV感染情况检测结果包括用户一定时间段内的检测时间、检测地点、检测结果、用户身份标识信息和用户基础资料信息，所述检测结果包括阴性和阳性，所述用户身份标识信息包括用户的手机号码，所述用户基础资料信息包括用户的年龄、学历、收入和用户交友行为习惯指标信息。The HIV infection detection result storage unit is used to test the HIV infection status of MSM users through the filing agency, and store the obtained HIV infection status detection results in the HIV detection result database in the server. The HIV infection status The detection result includes the user's detection time, detection location, detection result, user identification information and user basic data information within a certain period of time, the detection result includes negative and positive, and the user identification information includes the user's mobile phone number, so The user basic data information includes the user's age, education, income and the user's friend-making behavior habit index information. 8.根据权利要求7所述的系统，其特征在于，所述的服务端还包括：HIV感染情况检测结果查询单元；8. The system according to claim 7, wherein the server further comprises: an HIV infection detection result query unit; HIV感染情况检测结果查询单元，用于在接收到所述用户客户端启动HIV检测结果自我查询后发送的HIV感染情况检测结果查询请求后，根据所述HIV感染情况检测结果查询请求中携带的用户的身份标识信息来查询所述HIV检测结果数据库中存储的对应的HIV感染情况检测结果，向所述用户客户端返回其一定时间内的HIV感染情况检测结果，若所述用户已超过设定时间长度阈值未进行HIV感染情况检测，则所述服务端还向所述用户客户端发送较长时间未进行HIV检测的提醒。The HIV infection detection result query unit is configured to, after receiving the HIV infection detection result query request sent by the user client after starting the HIV detection result self-query, according to the user carried in the HIV infection detection result query request to query the corresponding HIV infection detection results stored in the HIV detection result database, and return the HIV infection detection results within a certain period of time to the user client, if the user has exceeded the set time If the length threshold has not been tested for HIV infection, the server also sends a reminder to the user client that the HIV test has not been performed for a long time. 9.根据权利要求8所述的系统，其特征在于：9. The system of claim 8, wherein: 所述的HIV感染情况检测结果查询单元，还用于接收到所述用户客户端发送的携带好友的身份标识信息的好友HIV检测结果查询请求后，向被查询的好友用户客户端发送HIV感染情况查询请求，所述好友用户客户端根据具体情况选择同意查询或拒绝查询，将选择结果发送给所述服务端；The HIV infection detection result query unit is further configured to send the HIV infection status to the queried friend user client after receiving the friend HIV detection result query request carrying the friend's identity information sent by the user client query request, the friend user client chooses to agree to the query or reject the query according to the specific situation, and sends the selection result to the server; 当所述好友用户客户端选择同意查询时，根据所述HIV感染情况检测结果查询请求中携带的好友的身份标识信息来查询所述HIV检测结果数据库中存储的对应的HIV感染情况检测，向所述用户客户端返回所述好友的一定时间内的HIV感染情况检测结果:阴性或者阳性.以及该次检测结果的检测时间，若所述好友已超过设定时间长度阈值未进行HIV感染情况检测，则还向所述用户客户端发送所述好友较长时间未进行HIV检测的提醒；When the friend user client chooses to agree to the query, according to the friend's identity information carried in the HIV infection detection result query request, the corresponding HIV infection detection stored in the HIV detection result database is queried, and sent to the The user client returns the detection result of HIV infection within a certain period of time of the friend: negative or positive. And the detection time of this test result, if the friend has exceeded the set time length threshold and has not been tested for HIV infection, Then also send to the user client a reminder that the friend has not been tested for HIV for a long time; 当所述好友用户客户端选择拒绝查询时，则向所述用户客户端发送对方拒绝查询的通知消息。When the friend user client chooses to reject the query, a notification message that the other party rejects the query is sent to the user client. 10.根据权利要求6至9任一项所述的系统，其特征在于，所述的服务端还包括：10. The system according to any one of claims 6 to 9, wherein the server further comprises: HIV感染风险预测单元，用于将收集的多个用户的人口统计学指标、用户交友行为习惯指标和社会联系指标分别转化为对应的各种分类变量，通过决策树方法利用各种分类变量构建决策-模型，所述人口统计学指标包括：年龄、学历和收入，所述用户交友行为习惯指标包括：查询好友检测结果时的操作地点；地理信息系统定位的用户与附近的宾馆距离；查询好友的时间是否为经常夜晚；是否常出现在宾馆或酒吧附近；用户与附近感染HIV用户的距离；好友互查的频率；用户周围感染HIV用户的人数，所述社会联系指标包括：关系密度、程度中心度和声望；The HIV infection risk prediction unit is used to convert the collected demographic indicators, user dating behavior habit indicators and social connection indicators into corresponding classification variables, and use various classification variables to construct decision-making through decision tree method. -Model, the demographic indicators include: age, education and income, and the user's friend-making behavior habit indicators include: the operation location when querying the detection results of friends; the distance between the user located by the geographic information system and the nearby hotels; Whether the time is often night; whether it often appears near hotels or bars; the distance between the user and the nearby HIV-infected users; the frequency of mutual checks among friends; degree and prestige; 将所述用户、所述好友的人口统计学指标、用户交友行为习惯指标和社会联系指标输入到构建好的决策-模型，该决策-模型输出所述用户、所述好友的HIV感染风险预测结果，该HIV感染风险预测结果包括：HIV感染高风险或者暂无HIV感染高风险。Input the demographic indicators of the user and the friend, the user's friend-making behavioral habit indicator and the social connection indicator into the constructed decision-model, and the decision-model outputs the HIV infection risk prediction result of the user and the friend , the HIV infection risk prediction results include: high risk of HIV infection or no high risk of HIV infection temporarily.
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