CN111276255A - Emergent processing system of proruption public health incident - Google Patents
Emergent processing system of proruption public health incident Download PDFInfo
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Abstract
The invention provides an emergency disposal system for emergent public health events, which comprises: the data acquisition module is used for acquiring a first emergency data group of each department in the area and a characteristic label of the area; the data processing module is used for receiving the first emergency data group and the feature tags acquired on the same day every day, determining a second emergency data group with the highest correlation with the first emergency data group in the emergency plan library, acquiring emergency plans corresponding to the second emergency data group from the emergency plan library, respectively aiming at the emergency plans, adjusting the emergency plans according to the feature tags of the areas aimed at by the emergency plans, and applying the adjusted emergency plans to the areas corresponding to the emergency plans. By the technical scheme, the technical problem that the current plan compiled aiming at the emergent public health incident can not meet the actual emergency disposal requirement of the development and change of the complex emergent incident is solved.
Description
Technical Field
The invention relates to the technical field of disease prevention and control mechanisms, in particular to an emergency disposal system for sudden public health events.
Background
At present, the occurrence of an emergency is usually difficult to predict and has large destructiveness, and the harm to the human society is always striking and amazing, wherein the emergency natural disasters such as earthquake, volcanic eruption, debris flow, tsunami, typhoon, flood and the like, and the emergency accident disaster caused by human activities such as pollutant leakage, water body pollution, soil pollution and the like exist, and the emergency related to public safety and public health also accounts for a considerable proportion. In recent years, various types of major emergencies are frequently generated around the world, and the attention from various social circles is attracted.
Emergency protocols are one of the most important and effective tools in promoting emergency management capabilities. Because human beings can not completely resist and eliminate potential threats and actual damages of major natural disasters, but the occurrence and evolution of an emergency often have great uncertainty, the occurrence and evolution track of the emergency has various possibilities, and aiming at the characteristics of the emergency, people can only aim at reducing the loss caused by the emergency as far as possible within the reach range, not only need to actively prevent the emergency at ordinary times, but also preset a response scheme, namely an emergency plan, once the emergency occurs when the emergency does not occur, so that the emergency can be completely met without any trouble and without rain. Therefore, the emergency plan plays an important role in emergency management and is an important component of an emergency rescue system.
At present, the emergency plan is mainly studied by manually pre-compiling an emergency plan as complete as possible from the situation in which the emergency may occur, but because the manual judgment on the situation in which the emergency may occur is usually based on experience and knowledge reasoning, the plan compiled under the thought obviously cannot meet the actual emergency disposal requirement of the development and change of the complex emergency.
Disclosure of Invention
The invention provides an emergency disposal system for emergent public health events, which at least solves the technical problem that the current plan compiled aiming at the emergent public health events can not meet the actual emergency disposal requirements of the development and the change of complex emergent events.
The invention provides an emergency disposal system for sudden public health events, which comprises:
the data acquisition module is arranged in different acquisition areas and used for acquiring a first emergency data set of each department in the area, wherein the first emergency data set comprises the number of the patients in the department and/or the daily growth rate of the number of the patients; the data acquisition module is also used for acquiring a feature tag of the area, wherein the feature tag is a feature tag of the area, which can affect the effect of an emergency plan applied to the area;
and the data processing module is used for receiving the first emergency data group and the characteristic tags acquired by the data acquisition module on the same day every day, determining a second emergency data group with the highest correlation with the first emergency data group in the emergency plan library, acquiring the emergency plans corresponding to the second emergency data group from the emergency plan library, respectively aiming at the emergency plans, adjusting the emergency plans according to the characteristic tags of the areas aimed at by the emergency plans, and applying the adjusted emergency plans to the areas corresponding to the emergency plans.
Further, the emergency disposal system further comprises:
the evaluation module is used for evaluating the effect of the emergency plan after the adjusted emergency plan is applied to the corresponding area, and if the effect does not reach the expectation, the feature label of the corresponding area is added;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
Further, the emergency disposal system further comprises:
the emergency database is used for storing the first emergency data group received by the data processing module, the received feature tags, the emergency plans adjusted according to the feature tags, the added feature tags and the emergency plans adjusted according to the feature tags by taking each department of each acquisition area as a unit.
Further, the data processing module is further configured to determine a third emergency data set with the highest feature tag correlation in the acquisition area corresponding to the first emergency data set and the first emergency data set in the emergency plan library, acquire an emergency plan corresponding to the third emergency data set from the emergency plan library, and apply the emergency plan to an area corresponding to the emergency plan library.
Further, the evaluation module is further configured to evaluate an effect that the emergency plan corresponding to the third emergency data group is used for dealing with the area corresponding to the emergency plan, and if the effect does not reach an expected effect, the feature tag of the corresponding area is added; and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
Further, the emergency database is further configured to store the added feature tags and the emergency plans adjusted according to the feature tags in units of each department of each collection area.
Further, the data acquisition module is further configured to acquire a fourth emergency data set of an acquisition area, where the fourth emergency data set includes any one or more of the following items: name of emergent public health incident, emergency time identification, type of emergent public health incident, grade of emergent public health incident and number of people suffering from disaster;
the data processing module is configured to receive the fourth emergency data group, determine a fifth emergency data group with the highest correlation with the fourth emergency data group in an emergency plan library, acquire an emergency plan corresponding to the fifth emergency data group from the emergency plan library, respectively adjust the emergency plan according to the feature tag of the area to which the emergency plan is directed, and use the adjusted emergency plan in the area corresponding to the emergency plan.
Further, the evaluation module is further configured to evaluate an effect of the emergency plan after the adjusted emergency plan is applied to a corresponding area, and if the effect does not reach an expected effect, increase a feature tag of the corresponding area;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
Further, the emergency database is used for storing a fourth emergency data set, an emergency plan adjusted according to the feature tag of the area where the fourth emergency data set is located, an added feature tag and an emergency plan adjusted according to the feature tag, with each department of each collection area as a unit.
Further, the data processing module is further configured to determine a sixth emergency data set with the highest feature tag correlation in the acquisition area corresponding to the fourth emergency data set and the fourth emergency data set in the emergency plan library, acquire an emergency plan corresponding to the sixth emergency data set from the emergency plan library, and apply the emergency plan to an area corresponding to the emergency plan library.
Further, the evaluation module is further configured to evaluate an effect that the emergency plan corresponding to the sixth emergency data group is used for dealing with the area corresponding to the emergency plan, and if the effect does not reach an expected effect, the feature tag of the corresponding area is added;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
Further, the emergency database is further configured to store the added area feature tags and the emergency plans adjusted according to the feature tags in units of each department of each collection area.
The invention provides an emergency disposal system for emergent public health events, which is characterized in that a first emergency data set is obtained every day at the beginning of the occurrence of the emergent public health events, a second emergency data set with the highest correlation with the first emergency data set in an emergency plan library is determined, and an emergency plan corresponding to the second emergency data set is obtained from the emergency plan library, so that the early discovery of epidemic situations and the early adoption of plan coping are realized. And aiming at the emergency plan, adjusting the emergency plan according to the characteristic label of the area aimed at by the emergency plan, and applying the adjusted emergency plan to the area corresponding to the emergency plan, thereby solving the technical problem that the existing plan compiled aiming at the emergent public health event can not meet the actual emergency disposal requirement of the development and change of the complex emergent event. According to the emergency setting system for the emergency public health event, provided by the invention, the emergency data in the fourth emergency data group are converted into the data in the corresponding text format from picture data, voice data and video data, the fifth emergency data group with the highest correlation with the fourth emergency data group in the emergency database is determined according to the corresponding text format data, the emergency plan corresponding to the fifth emergency data group is obtained from the emergency database, the emergency plan is also adjusted according to the feature tag of the area where the fourth emergency data group is located, the adjusted emergency plan is used for the area corresponding to the emergency plan, and the technical problem that the existing plan compiled for the emergency public health event cannot meet the actual emergency disposal requirements of development and change of complex emergency events is solved.
Drawings
FIG. 1 is a system block diagram of an emergency disposal system for emergency public health events according to the present invention;
FIG. 2 is a table showing the correspondence between the first emergency data set, the second emergency data set and the third emergency data set and the corresponding pre-arranged plan in the emergency disposal system for emergency public health incidents according to the present invention;
Detailed Description
In order to make the technical solutions in the embodiments of the present invention better understood and make the above objects, features and advantages of the embodiments of the present invention more comprehensible, the technical solutions in the embodiments of the present invention are described in further detail below with reference to the accompanying drawings.
As shown in fig. 1, the emergency disposal system for public health emergencies provided by the present invention comprises:
the data acquisition module is arranged in different acquisition areas and used for acquiring a first emergency data set of each department in the area, wherein the first emergency data set comprises the number of the patients in the department and/or the daily growth rate of the number of the patients; the data acquisition module is also used for acquiring a feature tag of the area, wherein the feature tag is a feature tag of the area, which can affect the effect of an emergency plan applied to the area;
and the data processing module is used for receiving the first emergency data group and the characteristic tags acquired by the data acquisition module on the same day every day, determining a second emergency data group with the highest correlation with the first emergency data group in the emergency plan library, acquiring the emergency plans corresponding to the second emergency data group from the emergency plan library, respectively aiming at the emergency plans, adjusting the emergency plans according to the characteristic tags of the areas aimed at by the emergency plans, and applying the adjusted emergency plans to the areas corresponding to the emergency plans.
As a specific embodiment, the emergency disposal system further includes:
the evaluation module is used for evaluating the effect of the emergency plan after the adjusted emergency plan is applied to the corresponding area, and if the effect does not reach the expectation, the feature label of the corresponding area is added;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
As a specific embodiment, the emergency disposal system further includes:
the emergency database is used for storing the first emergency data group received by the data processing module, the received feature tags, the emergency plans adjusted according to the feature tags, the added feature tags and the emergency plans adjusted according to the feature tags by taking each department of each acquisition area as a unit.
As a specific embodiment, the data processing module is further configured to determine a third emergency data group in the emergency plan library, where the correlation between the first emergency data group and the feature tag of the acquisition area corresponding to the first emergency data group is highest, obtain an emergency plan corresponding to the third emergency data group from the emergency plan library, and apply the emergency plan to an area corresponding to the emergency plan.
As a specific embodiment, the evaluation module is further configured to evaluate an effect that the emergency plan corresponding to the third emergency data group is used for dealing with the corresponding area, and if the effect does not reach an expected effect, increase the feature tag of the corresponding area; and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
As a specific embodiment, the emergency database is further configured to store the added feature tag and the emergency plan adjusted according to the feature tag in units of each department of each collection area.
As a specific embodiment, the data acquisition module is further configured to acquire a fourth emergency data set of an acquisition area, where the fourth emergency data set includes any one or more of the following: name of emergent public health incident, emergency time identification, type of emergent public health incident, grade of emergent public health incident and number of people suffering from disaster;
the data processing module is configured to receive the fourth emergency data group, determine a fifth emergency data group with the highest correlation with the fourth emergency data group in an emergency plan library, acquire an emergency plan corresponding to the fifth emergency data group from the emergency plan library, respectively adjust the emergency plan according to the feature tag of the area to which the emergency plan is directed, and use the adjusted emergency plan in the area corresponding to the emergency plan.
As a specific embodiment, the evaluation module is further configured to evaluate an effect of the adjusted emergency plan after the emergency plan is applied to a corresponding area, and if the effect does not reach an expected effect, increase a feature tag of the corresponding area;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
As a specific embodiment, the emergency database is configured to store, in units of each department of each collection area, a fourth emergency data set, an emergency plan adjusted according to a feature tag of an area where the fourth emergency data set is located, an added feature tag, and an emergency plan adjusted according to the feature tag.
As a specific embodiment, the data processing module is further configured to determine a sixth emergency data group with the highest correlation between the feature tags of the acquisition regions corresponding to the fourth emergency data group and the fourth emergency data group in the emergency plan library, and respectively obtain the emergency plans corresponding to the sixth emergency data group from the emergency plan library, and apply the emergency plans to the corresponding regions.
As a specific embodiment, the evaluation module is further configured to evaluate an effect that the emergency plan corresponding to the sixth emergency data group is used for dealing with the corresponding area, and if the effect does not reach an expected effect, increase the feature tag of the corresponding area;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
As a specific embodiment, the emergency database is further configured to store the added area feature tags and the emergency plans adjusted according to the feature tags in units of each department of each collection area.
According to the emergency disposal system for the emergent public health events, when the emergent public health events occur, the data acquisition module acquires the first emergency data set of each department in each acquisition area every day, and the population scales of the acquisition areas are close to each other as much as possible. The data acquisition module is also used for acquiring the feature label of the area, wherein the feature label is the feature label of the area, which can affect the effect of the emergency plan applied to the area. The feature labels include but are not limited to that the population distribution of the area is scattered, the area of the area is large, the weather of the area is severe and changeable, the traffic of the area is inconvenient, and the like. The feature tag may be local to the region or may be bursty. After the first emergency data group and the area special label are transmitted to the data processing module, a second emergency data group with the highest correlation with the first emergency data group in the emergency plan library is determined, and an emergency plan corresponding to the second emergency data group is obtained from the emergency plan library. Specifically, for how to judge the correlation between the first emergency data group and the second emergency data group, a correspondence table between the number of patients in consultation and the emergency plan, a correspondence table between the daily growth rate of the number of patients in consultation and the emergency plan, and a correspondence table between the daily growth rate of the number of patients in consultation and the emergency plan may be established in advance, and these tables are stored in the emergency plan library. Taking the first emergency data group as the number of the persons in consultation as an example, a corresponding table of the number of the persons in consultation and the emergency plans should be established, and when the number of the persons in consultation is 40-50, 50-60 and 60-70 respectively, the corresponding emergency plans are emergency plan 1, emergency plan 2 and emergency plan 3 respectively. When the emergency plan corresponding to the section where the number of people to be treated is selected for the determination, for example, if the number of people to be treated in a certain area is 55 today, the emergency plan 2 should be selected for dealing with the area.
After the emergency plan is determined, the emergency plan is adjusted according to the regional characteristic label. Specifically, for example, the feature tag is inconvenient for traffic in the area, which increases the time for the medical staff to go to and go from the rescue point in the area, so that the medical staff and the vehicle need to be added, the medical staff and the vehicle are added on the basis of the original emergency plan, and the adjusted emergency plan is used for dealing with the corresponding area. The emergency plan is adjusted according to the regional characteristic label, the emergency plan is formulated according to the inherent characteristic label and the sudden characteristic label of the region, the smooth proceeding of emergency disposal is ensured, a better effect is achieved, and the technical problem that the existing plan formulated aiming at the sudden public health incident cannot meet the actual emergency disposal requirement of the development and change of the complex sudden incident is solved.
After the adjusted emergency plan is used for corresponding to the corresponding area, the evaluation module evaluates the effect of the emergency plan, if the effect is not expected, the feature tag of the corresponding area is added, and the added feature tag can be repeated with the previously received tag of the area. Specifically, the effect is not expected, is certainly causal, and can be divided into regional reasons and reasons of personnel related to emergency plans. If the reason is the reason of the personnel related to the emergency plan, the characteristic label is not included; if it is the regional cause, the feature tag is included. For example, if the effect is not expected due to a larger area and the increased time for the caregiver to travel to and from the point of care in the area, a signature of the larger area of the area should be recorded. If the feature tag has been received once before, then the feature tag with the larger area of the region is recorded by 2, if the feature tag has been received twice before, then the feature tag with the larger area of the region is recorded by 3, and so on. If the feature tag is added after the effect is not expected, the corresponding emergency plan should be adjusted according to the added feature tag of the corresponding area.
The emergency database is used for storing the first emergency data group received by the data processing module, the received feature tags, the emergency plans adjusted according to the feature tags, the added feature tags and the emergency plans adjusted according to the feature tags by taking each department of each acquisition area as a unit.
After the first emergency data group, the feature tag and the emergency plan stored in the emergency database reach a certain amount, the data processing module may determine, according to the first emergency data group and the feature tag of the acquisition area corresponding to the first emergency data group, a third emergency data group in the emergency plan database, which has the highest correlation with the feature tag of the acquisition area corresponding to the first emergency data group and the first emergency data group, obtain the emergency plan corresponding to the third emergency data group from the emergency plan database, and use the emergency plan in an area corresponding to the emergency plan database. Since the feature labels of the corresponding area are not necessarily completely collected before the emergency plan is applied to the corresponding area, the expected effect cannot be achieved when the emergency plan is applied to the corresponding area. The effect of the emergency plan corresponding to the third emergency data group on the corresponding area is evaluated through the evaluation module, and if the effect does not reach the expectation, the feature labels of the corresponding area are added; and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value. Correspondingly, the emergency database stores the added feature tags and the emergency plans adjusted according to the feature tags in each department of each acquisition area.
When the emergent public health incident reaches a certain scale or is influenced to a certain extent, the emergency plan can be judged according to other parameters. Specifically, the data acquisition module is further configured to acquire a fourth emergency data set of an acquisition area, where the fourth emergency data set includes any one or more of the following items: name of emergent public health incident, emergency time identification, type of emergent public health incident, grade of emergent public health incident and number of people suffering from disaster;
and the data processing module is used for receiving the fourth emergency data group, determining a fifth emergency data group with the highest correlation with the fourth emergency data group in an emergency plan library, and acquiring an emergency plan corresponding to the fifth emergency data group from the emergency plan library.
After the emergency plan is determined, the emergency plan is adjusted according to the regional characteristic label. Specifically, for example, the feature tag is inconvenient for traffic in the area, and increases the time for the medical staff to go to and return to the rescue point in the area, so that the medical staff and the vehicle need to be added, the medical staff and the vehicle are added on the basis of the original emergency plan, and the adjusted emergency plan is applied to the corresponding area. The emergency plan is adjusted according to the regional characteristic label, so that the emergency treatment can be smoothly carried out, a good effect is achieved, and the technical problem that the existing plan compiled aiming at the emergent public health incident cannot meet the actual emergency treatment requirement of the development and change of the complex emergent incident is solved. After the adjusted emergency plan is used for corresponding to the corresponding area, the evaluation module evaluates the effect of the emergency plan, if the effect is not expected, the feature tag of the corresponding area is added, and the added feature tag can be repeated with the previously received tag of the area. Specifically, the effect is not expected, is certainly causal, and can be divided into regional reasons and reasons of personnel related to emergency plans. If the reason is the reason of the personnel related to the emergency plan, the characteristic label is not included; if it is the regional cause, the feature tag is included. For example, if the effect is not expected due to a larger area and the increased time for the caregiver to travel to and from the point of care in the area, a signature of the larger area of the area should be recorded. If the feature tag has been received once before, then the region area is recorded as large as 2 feature tags, if the feature tag has been received twice before, then the region area is recorded as large as 3 feature tags, and so on. If the feature tag is added after the effect is not expected, the corresponding emergency plan should be adjusted according to the added feature tag of the corresponding area.
The emergency database is used for storing a fourth emergency data set, an emergency plan adjusted according to the feature tag of the area where the fourth emergency data set is located, an added feature tag and an emergency plan adjusted according to the feature tag by taking each department of each acquisition area as a unit. After the fourth emergency data group, the feature tag and the emergency plan stored in the emergency database reach a certain amount, the data processing module may determine, according to the fourth emergency data group and the feature tag of the acquisition area corresponding to the fourth emergency data group, a sixth emergency data group in the emergency plan database, which has the highest correlation with the feature tag of the acquisition area corresponding to the fourth emergency data group and the fourth emergency data group, respectively obtain the emergency plan corresponding to the sixth emergency data group from the emergency plan database, and use the emergency plan in an area corresponding to the emergency plan.
Since the feature labels of the corresponding area are not necessarily completely collected before the emergency plan is applied to the corresponding area, the expected effect cannot be achieved when the emergency plan is applied to the corresponding area. The evaluation module evaluates the effect of the emergency plan corresponding to the sixth emergency data group on the corresponding area, and if the effect does not reach the expectation, the feature labels of the corresponding areas are added; and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value. Correspondingly, the emergency database stores the added feature tags and the emergency plans adjusted according to the feature tags in each department of each acquisition area. When the regional characteristic labels and the adjusted emergency plans in the database are more and more, the effect of the emergency plans for the emergent public health events is better and better, the emergency plans in the emergency database can be directly called, and the technical problem that the existing plans compiled for the emergent public health events cannot meet the actual emergency disposal requirements of the development and change of the complex emergent events is solved.
Referring to fig. 2, the following describes the technical solution of the present invention with reference to specific examples.
In the present invention, the different acquisition regions are made to include a region a, a region b, and a region c. Each of these three areas includes at least one point of collection, which may be a clinic, hospital, and school office.
The first emergency data group and the second emergency data group have a corresponding relationship, namely:
if the first emergency data set includes only the number of visits, the emergency database includes a second emergency data set in relation to the protocol. For example, when the number of the second emergency data group is in the range of 40-50, 50-60 and 60-70, the corresponding emergency plans are emergency plan 1, emergency plan 2 and emergency plan 3. The number of the patients in the clinic ranges from 40 to 50, 50 to 60 and 60 to 70, and the number of the patients in the clinic ranges from three second emergency data groups;
if the first emergency data set includes only the daily growth rate of the number of visits, the emergency database includes a second emergency data set in relation to the protocol. For example, when the number of the second emergency data group is increased by 20% -40%, 40% -60%, 60% -80% per day, the corresponding emergency plans are emergency plan 1a, emergency plan 2b, and emergency plan 3c, respectively. The growth rate ranges of the number of patients in the clinic from 20% to 40%, from 40% to 60% and from 60% to 80% are three second emergency data groups;
if the first emergency data set includes the number of visits and their daily growth rate, the emergency database includes a second emergency data set in relation to the protocol. For example, the second emergency data set is for the case where the number of visitors ranges from 40 to 50 and the rate of increase per day ranges from 20% to 40%, corresponding to the emergency plan 1aa, for the case where the number of visitors ranges from 50 to 60 and the rate of increase per day ranges from 40% to 60%, corresponding to the emergency plan 2bb, and for the case where the number of visitors ranges from 60 to 70 and the rate of increase per day ranges from 60% to 80%, corresponding to the emergency plan 3 cc. In this case, when the number of patients is in the range of 40 to 50 and the increase rate per day of the number of patients is in the range of 20% to 40%, corresponding to the emergency plan 1aa, when the number of patients is in the range of 50 to 60 and the increase rate per day of the number of patients is in the range of 40% to 60%, when the number of patients is in the range of 60 to 70 and the increase rate per day of the number of patients is in the range of 60% to 80%, three second emergency data sets are provided.
Taking the first emergency data group only including the number of the emergency personnel of the department, the emergency disposal system of the invention sets the relationship between the number of the emergency personnel and the plan in advance, namely when the number of the emergency personnel is 40-50, 50-60 and 60-70 respectively, the corresponding emergency plans are emergency plan 1, emergency plan 2 and emergency plan 3 respectively. If the number of the people in the three areas collected by the data collection module is 20, 45 and 55 respectively, the feature tags collected in the areas b and c are respectively the feature tags which are distributed in the population, have larger area and do not collect the feature tag in the area a. Since the number of persons visiting the area a is not within the interval of the second emergency data set, the area a does not take the emergency plan, since the number of persons visiting the areas b and c are within the interval of the second emergency data set corresponding to the plans 1 and 2, respectively, the second emergency data set having the highest correlation with the first emergency data set of the area b is the second emergency data set corresponding to the plan 1, and the second emergency data set having the highest correlation with the first emergency data set of the area c is the second emergency data set corresponding to the plan 2, therefore, the areas b and c should take the plans 1 and 2, respectively.
Since the reception of the characteristic labels for the area b and the area c should result in the failure of the plans 1 and 2 to achieve the desired effect, it is necessary to adjust the plans 1 and 2 to the plans 4 and 5, respectively, and use the plans 4 and 5 to cope with the areas b and c, respectively.
After the plans 4 and 5 are used for coping with the areas b and c, respectively, it is necessary to evaluate coping effects of the plans 4 and 5. If none of the effects is as expected, the reason for the region should be looked up. For example, if the characteristic label of the area b with more dispersed population is found to be particularly significant, the characteristic label is counted again, and the characteristic label of the area b with more dispersed population is counted as 2, and so on. For example, if the feature label of the area c with the larger area is found to be particularly significant, the feature label is counted again and is counted as the feature label of 2 with the larger area of the area, and so on. Since the areas b and c are added with the feature labels, respectively, the plans 4 and 5 should be adjusted to the plans 7 and 8, respectively, according to the feature labels added, respectively.
And the emergency database stores the data by taking each department in each acquisition area as a unit. Specifically, the emergency database stores the corresponding relationship between the second emergency data set and the plan, that is, three second emergency data sets: the number of patients is 40-50, 50-60, 60-70, which are corresponding to the pre-arranged plans 1, 2, 3; storing feature labels with the number of patients in the range of 40-50 and more dispersed population distribution, feature labels with the number of patients in the range of 50-60 and larger area of the area, and respectively corresponding to the plans 4 and 5; and storing the feature labels of which the number of people to be treated is in the range of 40-50 and the population distribution is more dispersed 2, the feature labels of which the number of people to be treated is in the range of 50-60 and the feature labels of which the area is larger 2, and respectively corresponding to the plans 7 and 8.
In the present invention, a data set including both the first emergency data set and the feature tag is referred to as a third emergency data set. The feature tags with the number of the patients in the range of 40-50 and the relatively dispersed population distribution, the feature tags with the number of the patients in the range of 50-60 and the relatively large area of the area, the feature tags with the number of the patients in the range of 40-50 and the relatively dispersed population distribution 2, the feature tags with the number of the patients in the range of 50-60 and the relatively large area of the area 2 are all third emergency data sets, and therefore, the corresponding relation between the third emergency data sets and the plans is stored in the emergency database.
When the corresponding relationship between the third emergency data group and the plan stored in the emergency database is more and more, the third emergency data group with the highest correlation with the first emergency data group and the acquisition area corresponding to the first emergency data group can be found out in the database according to the feature tags of the first emergency data group and the acquisition area corresponding to the first emergency data group, the emergency plan corresponding to the third emergency data group is obtained from the emergency plan database, and the emergency plan is used for corresponding to the corresponding area.
Specifically, for example, the number of the visiting persons in a department in the area d is 42, and the area has only one characteristic label with a relatively dispersed population distribution, so the plan 4 can be directly applied to the area d; for example, if the number of the persons in a department in the area e is 52, and the area has only one feature tag with a larger area, the plan 5 can be directly applied to the area e; for another example, if the number of visits to a department in the area f is 54, and the area of the area is only two feature labels with 2 larger than the area of the area, the plan 8 can be directly applied to the area f.
In the above paragraph, since the feature labels of the corresponding area are not necessarily collected completely before the emergency plan is applied to the corresponding area, the expected effect cannot be achieved when the emergency plan is applied to the corresponding area. The effect of the emergency plan applied to the corresponding area is evaluated through the evaluation module. If the effect is not as expected, the reason for the region should be looked up. For example, if the area d is found to have a feature tag with severe and variable weather, the feature tag is added to the feature tag of the area. For example, if the characteristic label that the area e also has traffic inconvenience of the area is found, the characteristic label is added to the characteristic label of the area. Since the areas d and e are added with the feature labels, respectively, the plans 4 and 5 should be adjusted according to the feature labels added, respectively, and the plans 4 and 5 should be adjusted to the plans 10 and 11, respectively.
And the emergency database stores the data by taking each department in each acquisition area as a unit. Specifically, the emergency database stores changeable feature labels that the number of the visitors ranges from 40 to 50, the population distribution is dispersed, the weather is severe, the number of the visitors ranges from 50 to 60, the area of the area is large, and the traffic inconvenience feature labels of the area, which correspond to the plans 10 and 11 respectively.
Through the accumulation of time, the feature labels in the areas are more and more, the one-to-one corresponding relation between the third emergency data group and the plans is more and more, and a commander can quickly find a suitable plan in an emergency database according to the first emergency data group and the feature labels in a certain area and can achieve an expected effect.
When the emergent public health incident reaches a certain scale or is influenced to a certain extent, the emergency plan can be judged according to other parameters. Specifically, the data acquisition module is further configured to acquire a fourth emergency data set of an acquisition area, where the fourth emergency data set includes any one or more of the following items: name of emergent public health event, emergency time identification, type of emergent public health event, grade of emergent public health event and disaster-stricken population. The specific work flows of the data processing module, the evaluation module and the emergency database are similarly described in the foregoing, and are not described in detail herein.
The invention provides an emergency disposal system for emergent public health events, which is characterized in that a first emergency data set is obtained every day at the beginning of the occurrence of the emergent public health events, a second emergency data set with the highest correlation with the first emergency data set in an emergency plan library is determined, and an emergency plan corresponding to the second emergency data set is obtained from the emergency plan library, so that the early discovery of epidemic situations and the early adoption of plan coping are realized. And aiming at the emergency plan, adjusting the emergency plan according to the characteristic label of the area aimed at by the emergency plan, and applying the adjusted emergency plan to the area corresponding to the emergency plan, thereby solving the technical problem that the existing plan compiled aiming at the emergent public health event can not meet the actual emergency disposal requirement of the development and change of the complex emergent event. According to the emergency setting system for the emergency public health event, provided by the invention, the emergency data in the fourth emergency data group are converted into the data in the corresponding text format from picture data, voice data and video data, the fifth emergency data group with the highest correlation with the fourth emergency data group in the emergency database is determined according to the corresponding text format data, the emergency plan corresponding to the fifth emergency data group is obtained from the emergency database, the emergency plan is also adjusted according to the feature tag of the area where the fourth emergency data group is located, the adjusted emergency plan is used for the area corresponding to the emergency plan, and the technical problem that the existing plan compiled for the emergency public health event cannot meet the actual emergency disposal requirements of development and change of complex emergency events is solved. According to the emergency disposal system for the emergent public health events, provided by the invention, a unified plan standard is adopted for each area, and only the actual plan needs to be adjusted according to the characteristic label of each area.
Other embodiments of the invention will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the invention and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the invention being indicated by the following claims.
It will be understood that the invention is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (10)
1. An emergency disposal system for emergent public health events, comprising:
the data acquisition module is arranged in different acquisition areas and used for acquiring a first emergency data set of each department in the area, wherein the first emergency data set comprises the number of the patients in the department and/or the daily growth rate of the number of the patients; the data acquisition module is also used for acquiring a feature tag of the area, wherein the feature tag is a feature tag of the area, which can affect the effect of an emergency plan applied to the area;
and the data processing module is used for receiving the first emergency data group and the characteristic tags acquired by the data acquisition module on the same day every day, determining a second emergency data group with the highest correlation with the first emergency data group in the emergency plan library, acquiring the emergency plans corresponding to the second emergency data group from the emergency plan library, respectively aiming at the emergency plans, adjusting the emergency plans according to the characteristic tags of the areas aimed at by the emergency plans, and applying the adjusted emergency plans to the areas corresponding to the emergency plans.
2. An emergency disposal system as defined in claim 1, further comprising:
the evaluation module is used for evaluating the effect of the emergency plan after the adjusted emergency plan is applied to the corresponding area, and if the effect does not reach the expectation, the feature label of the corresponding area is added;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
3. An emergency disposal system as defined in claim 2, further comprising:
the emergency database is used for storing the first emergency data group received by the data processing module, the received feature tags, the emergency plans adjusted according to the feature tags, the added feature tags and the emergency plans adjusted according to the feature tags by taking each department of each acquisition area as a unit.
4. An emergency disposal system according to any one of claims 1 to 3,
the data processing module is further used for determining a third emergency data group with the highest feature tag correlation in the emergency plan library, corresponding to the first emergency data group and the acquisition area corresponding to the first emergency data group, obtaining an emergency plan corresponding to the third emergency data group from the emergency plan library, and using the emergency plan to correspond to the corresponding area.
5. The emergency disposal system of claim 4,
the evaluation module is further used for evaluating the effect of the emergency plan corresponding to the third emergency data group on the corresponding area, and if the effect does not reach the expectation, the feature tag of the corresponding area is added;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
6. The emergency disposal system of claim 5,
the emergency database is further used for storing the added feature tags and the emergency plans adjusted according to the feature tags by taking each department of each acquisition area as a unit.
7. An emergency disposal system according to any one of claims 1 to 3,
the data acquisition module is further configured to acquire a fourth emergency data set of an acquisition area, where the fourth emergency data set includes any one or more of the following items: name of emergent public health incident, emergency time identification, type of emergent public health incident, grade of emergent public health incident and number of people suffering from disaster;
the data processing module is configured to receive the fourth emergency data group, determine a fifth emergency data group with the highest correlation with the fourth emergency data group in an emergency plan library, acquire an emergency plan corresponding to the fifth emergency data group from the emergency plan library, respectively adjust the emergency plan according to the feature tag of the area to which the emergency plan is directed, and use the adjusted emergency plan in the area corresponding to the emergency plan.
8. The emergency disposal system of claim 7,
the evaluation module is further configured to evaluate an effect of the adjusted emergency plan after the emergency plan is applied to a corresponding area, and if the effect does not reach an expected effect, increase a feature tag of the corresponding area;
and the data processing module is also used for adjusting the corresponding emergency plan according to the increased feature tags of the corresponding areas after the effect does not reach the preset value.
9. The emergency disposal system of claim 8,
the emergency database is used for storing a fourth emergency data set, an emergency plan adjusted according to the feature tag of the area where the fourth emergency data set is located, an added feature tag and an emergency plan adjusted according to the feature tag by taking each department of each acquisition area as a unit.
10. The emergency disposal system of claim 7,
the data processing module is further configured to determine a sixth emergency data group with the highest correlation between the feature tags of the acquisition regions corresponding to the fourth emergency data group and the fourth emergency data group in the emergency plan library, acquire an emergency plan corresponding to the sixth emergency data group from the emergency plan library, and apply the emergency plan to a region corresponding to the emergency plan library.
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