29 results about "Epidemic disease" patented technology

The journey of recycling iron from tomato, sardine, tuna, and harissa cans is a product renewal phase that will lead us to the agricultural future. Everything has a weight, and future weights are better for the beautiful, unhealthy environment. Unhealthy nature causes disaster for animals and humans, including exposure to epidemics, God forbid. This is what occupied my mind and thoughts about tomato cans, turning them into a new product life cycle through recycling iron. Iron isn't all recyclable; it's the tomato cans that cause harm to humans, especially children, while playing and having fun, and can cause injuries, God forbid, due to the rusting of the iron.

The utility model belongs to epidemic disease prevention and control monitoring equipment technical field, concretely is a kind of livestock epidemic disease prevention and control monitoring equipment, including internal equipment, the outside of internal equipment is sleeved with protective cylinder, the protective cylinder is transparent material, the lower end inner wall of protective cylinder is fixed with mobile assembly symmetrically, mobile assembly includes U type fixed frame, connecting rod and cylinder, the upper end one side wall of protective cylinder is equipped with operation port, one side of operation port is equipped with hinged board.The utility model is placed in the outside of epidemic disease prevention and control equipment in outdoor and is sleeved with a transparent protective cylinder, with certain protective property, avoid internal equipment to be damaged by livestock collision, can also avoid livestock excrement splashing to internal equipment to cause dirty even damage condition, subsequent flushing and cleaning external protective cylinder can be, when installing and disassembling protective cylinder, it is convenient to dismount, overall tool structure is simple, and use cost is low, and the protection effect of equipment is good, and convenient operation.

The application discloses a kind of multi-stage progressive exclusion and verification robust sparse sample mixed detection method and system, belong to popular disease early infection screening technical field.The method includes: according to the mixed detection parameter of screening scene setting;Subsequently enter multi-stage detection process, according to the current sample quantity to be detected in each stage, dynamically adjust mixed pool scale and detection times, and according to the detection result, sample is continuously classified and screened, and gradually exclude definite negative sample, while directly lock part of definite positive sample by analyzing the remaining sample in positive pool;Finally, the remaining sample is detected separately, and the identification of all positive samples is completed.The present application effectively copes with the uncertainty in actual detection through the robust multi-stage progressive design and dynamic adjustment mechanism, while ensuring the detection efficiency, significantly improves the detection rate of low viral load samples, has the characteristics of strong implementability and wide adaptability, and is suitable for large-scale sparse sample detection scene.

The utility model discloses a disinfection spraying device for animal epidemic disease detection belongs to animal disinfection technical field, including the medicine water tank, the top of medicine water tank is equipped with standing frame, the bottom array of standing frame is equipped with a plurality of filter holes, be equipped with the spray subassembly on standing frame, this spray subassembly carries out the spray of circumference and the spray of height adjustment to the animal. The utility model not only is convenient to the disinfection of different height's animal, and only needs the spray disinfection of whole body to be completed when walking through the animal when disinfecting, like this, the efficiency of disinfection is greatly improved, and the staff will not be threatened.

The application discloses a data integration analysis management platform, relates to the technical field of medical data analysis and processing, and has the technical scheme as follows: a multi-source data acquisition module acquires basic medical data and epidemic detection data; a data cleaning and fusion module acquires the basic medical data and the epidemic detection data and outputs standardized medical data and standardized epidemic data; a data standardization processing module acquires the standardized medical data and generates unified format medical data and a historical medicine consumption data set; and an intelligent decision analysis module outputs a medicine demand prediction index and a stock early warning index based on the unified format medical data and the historical medicine consumption data set. The data cleaning and fusion module can greatly reduce data noise and significantly improve data quality; and the intelligent decision analysis module can predict demand fluctuation in advance, actively prompt replenishment or clearance of accumulated goods, effectively reduce the medicine shortage rate and the expired and scrapped rate according to actual seasonal demand.

The application provides a method for diagnosing and differentiating classical swine fever based on a classical swine fever E2 subunit vaccine, which comprises the following steps: immunizing pigs in a pig farm with the classical swine fever E2 subunit vaccine, detecting E0 antibodies and E2 antibodies after one year of immunization, and eliminating the pigs with E0 antibodies until both the E0 antibodies and the CSFV nucleic acid detection are negative, which indicates that the classical swine fever is purified. The classical swine fever E2 subunit vaccine comprises a nucleic acid fragment encoding an antigen protein with the amino acid sequence of SEQ ID NO: 5 inserted into a recombinant expression vector. The classical swine fever E2 subunit vaccine provided by the application has good immunoprotective efficacy on pigs, and a classical swine fever epidemic disease purification method is established by using the subunit vaccine. The application effect of the method in a pig breeding company for two years shows that the method can effectively purify the classical swine fever, which indicates that the purification method provided by the application is feasible and can be popularized and applied.

The application discloses an animal epidemic disease early warning method based on big data analysis and relates to the technical field of animal epidemic disease early warning, which comprises the following steps: based on an abnormal candidate item set, time connection and space connection are carried out, a multi-layer propagation chain graph is constructed, source area locking and expansion direction checking are performed, and a propagation risk graph is generated; enhanced inhibition candidate determination is performed on abnormal content in the propagation risk graph, parallel arbitration is carried out, and an animal epidemic disease early warning item set is generated; the animal epidemic disease early warning item set is written back to a breeding unit, directional sampling arrangement and review order arrangement are performed on leading abnormal items, and continuation tracking and dynamic review are carried out on standby abnormal items, and an animal epidemic disease early warning table is generated. The application realizes time-space deconstruction of a propagation path, shortens early warning response time and optimizes prevention and control resource investment.

The present application relates to a building pig farm epidemic disease early warning and prevention and control intelligent recommendation method based on LLM-Agent, belongs to the technical field of intelligent breeding and pig farm epidemic disease risk management, through combining abnormal detection algorithm and epidemic disease prevention and control field knowledge resources, the pig farm epidemic disease risk is graded early warning and the corresponding risk cause analysis result is generated, further aiming at different risk grades to generate various prevention and control and management strategies, and from the prevention and control effect, the execution difficulty and the economic cost and so on multiple dimensions are comprehensively evaluated and sorted, the output optimization prevention and control strategy scheme, simultaneously, through introducing user feedback, prevention and control execution result and system cooperative linkage mechanism, the prevention and control strategy is dynamically adjusted and continuously optimized, forms the closed loop control system of '' prevention and control recommendation-execution-feedback-optimization ''. The present application can realize the prospective early warning and scientific decision of building pig farm epidemic disease risk, improves the intelligentization, the explainability and the economic feasibility of epidemic disease prevention and control, has good application value and popularization prospect.

The application discloses a kind of veterinary resources scheduling methods in pastoral area, belong to the field of animal husbandry, including: when epidemic disease appears in pastoral area, the transmission mechanism of epidemic disease is obtained;Obtain the epidemic infection risk of each pasture in pastoral area;Delimit epidemic infection risk area, and distribute veterinary resources to epidemic infection risk area and epidemic infection pasture;After distributing veterinary resources in epidemic infection risk area and epidemic infection pasture, continuously adjust epidemic infection pasture and / or epidemic infection risk area information, to obtain new epidemic infection pasture and / or new epidemic infection risk area;Based on the epidemic infection risk value corresponding to new epidemic infection risk area, the veterinary resources are adjusted;After the epidemic disease is eliminated in pastoral area, the veterinary distributed to epidemic infection pasture is evenly configured to the entire pastoral area.Solve the unreasonable veterinary resource scheduling problem when the epidemic disease occurs in the existing technology in pastoral area, so as to improve the quality of epidemic treatment based on reasonable veterinary scheduling.

The application provides a breeding farm identification method and system based on geospatial big data, and relates to the technical fields of animal epidemic disease monitoring and spatial information processing. First, the name, latitude and longitude, province and country, etc. of the global breeding farm data are collected, the fields are merged and the format is unified, and a structured data set is constructed. Combined with global land boundaries, multi-layer administrative divisions and land use data, abnormal coordinates are removed and sampled for review to generate a breeding farm spatial distribution map. The application improves the automation and spatial accuracy of identification by integrating multi-source data and large language models.

The application relates to the technical field of respiratory virus prevention, and particularly relates to a protein complex and application of the protein complex in preparation of a composition for preventing and / or treating respiratory syncytial virus related epidemic diseases. The protein complex is composed of F protein (preF3-SpyT) containing a SpyTag label and a ferritin nanoparticle containing a SpyCatcher. The F protein and the ferritin nanoparticle are covalently connected in a high-efficiency and specific manner through optimization of a coupling process of the two, and finally form a target protein complex. The protein complex provided by the application has the characteristics of high purity, uniform particle size, excellent structure stability and significantly enhanced immunogenicity, can effectively stimulate specific immune responses of a body against respiratory syncytial virus (RSV), provides a brand-new technical solution for clinical transformation of an RSV vaccine, and has important clinical application and transformation values.

The application discloses a large-scale sparse sample mixed detection method and system based on sample correlation information optimization, and belongs to the technical field of early screening and population detection of epidemics. In view of the fact that the traditional mixed detection method does not consider the infection risk correlation between samples during mixing, positive samples are easily concentrated in the same mixed pool, and problems such as detection accuracy reduction and decoding difficulty increase are caused, the application introduces a correlation component dispersion constraint in the mixed pool construction stage. The method collects the correlation group identification information of the samples, sets an upper limit of the number of samples of the same correlation group in each mixed pool, and thus disperses the samples of the high-infection-risk correlation group to different mixed pools. The main steps include: pretreatment of samples to be detected, setting of detection parameters, stage-by-stage optimization of mixing and detection, sparse decoding and result verification. The application effectively avoids the positive aggregation phenomenon from the sample mixing strategy, and improves the detection accuracy, decoding efficiency and resource utilization rate.

The utility model belongs to the production cage technical field, specifically speaking is a kind of mammal production cage for veterinarian, including bottom plate, the upper surface of bottom plate is respectively fixed installation has production room and activity room, production room is used to mother beast production, activity room is used for mother beast activity, the one side of production room is fixedly installed with warm-keeping mechanism, is used to provide suitable temperature, through the linkage type cleaning sewage system of double-shaft motor drive, through the intermittent meshing of main half bevel gear and from bevel gear, realize the reciprocating type automatic cleaning of scraper and brush to bottom plate and collection sewage tank, directional push of cooperation helical blade, high -efficiently discharge excrement, this design need not manual frequent intervention, not only reduce labour intensity, improve cleaning efficiency, can also avoid the bacteria breeding due to excrement accumulation, effectively improve cage hygiene environment, reduce epidemic disease transmission risk, create healthy growth space for mother beast and cub, realize the automation and intensification of breeding process simultaneously.

This invention relates to the field of pig manure dewatering equipment, and discloses a pig farm manure dewatering device for preventing the spread of diseases. The device includes a base, a dewatering mechanism, and a feeding mechanism. The dewatering mechanism includes a cylinder, a filter press assembly, and a support assembly. The cylinder is horizontally rotatably mounted on the upper side of the base via the support assembly. The filter press assembly is rotatably mounted inside the cylinder. A mesh cylinder is horizontally fixedly sleeved inside the cylinder, forming a liquid storage chamber between the mesh cylinder and the inner wall of the cylinder. A semi-permeable membrane is fixedly sleeved on the outer side of the mesh cylinder. The outer side of the mesh cylinder is fixedly connected to the inner wall of the cylinder via multiple sets of support blocks. Each set of support blocks consists of multiple blocks, evenly distributed along a horizontal straight line, and the multiple sets of support blocks are evenly distributed in a ring. Multiple sets of electric heating devices are installed inside the liquid storage chamber. The heating wire of each set of electric heating devices is horizontally fixedly sleeved within the same set of support blocks. A spreading mechanism is provided on the upper side of the feeding mechanism for introducing chemical agents. This invention solves the problem of the lack of equipment capable of sterilizing manure and pig manure.

This invention discloses a visualized IoT integrated management platform, comprising a device and data acquisition layer, a network and protocol conversion layer, a data processing layer, and a visualization application layer. By leveraging IoT technology, this invention connects patient flow, doctor flow, material flow, and information flow, enabling real-time perception and transparent management of hospital operational status. Through a built-in intelligent analysis engine, it not only achieves post-event statistics but also provides in-process early warning and pre-event prediction, such as early detection of emerging epidemics and prediction of resource bottlenecks. It transforms complex multi-source data into intuitive graphics, charts, and 3D models, significantly reducing management complexity and improving decision-making efficiency.

The application relates to the field of natural epidemic disease network data communication, and particularly discloses a visual early warning platform based on vector ecology management, which comprises a collection module, a central server and an interaction module; the collection module is used for collecting original data of monitoring areas at municipal, district and county levels; the central server comprises a vector data processing module, a vector infection risk prediction module and a map visualization display module; the vector infection risk prediction module is used for predicting vector density and predicting vector infection risk; the map visualization display module is used for converting data of the vector data processing module into hierarchical color block diagrams on an electronic map; and a vector infection risk prediction method is further disclosed. The application solves the technical problem that the existing vector monitoring data has low visualization and cannot provide intuitive and timely decision basis for managers.

The application discloses a method for identifying pathogenic vibrio based on multiple LAMP technology and belongs to the technical field of pathogen detection. The application overcomes the problem of mutual interference of multiple amplification primers, and a group of primer probe combinations suitable for a five-fold LAMP amplification system are screened, which can simultaneously identify Vibrio mimicus, Vibrio fluvialis, Vibrio alginolyticus, Vibrio metschnikovii and Vibrio furnissii. Further, the core detection reagent is subjected to freeze-drying treatment, is easy to store and transport, has high commercialization degree, and is convenient for primary or on-site detection. The technical scheme provided by the application has important significance for preventing and controlling the outbreak of pathogenic vibrio infection, tracing the source of epidemic diseases and public health monitoring.

The present application belongs to the technical field of complex network propagation control, and specifically relates to a metro train popular disease propagation control optimization method based on an agent model and probability search. The present application comprises the following steps: identifying trains and reconstructing a continuous-time car co-contact network based on smart card data and operation timetables, establishing an event-driven SEIR propagation simulation model and taking early system infection load SIL as a propagation control effect evaluation index; generating a candidate train control set and corresponding effect label data under the constraint of train control quantity k, and constructing an agent prediction model which is insensitive to train set sequence; initializing a train selection probability distribution, and performing sampling, screening and probability updating in an iterative search mode to generate a propagation control optimization scheme. The present application can obtain a better train propagation control scheme with a limited simulation budget under the condition of high propagation simulation cost and a large number of candidate combinations, thereby improving the popular disease propagation control efficiency of the metro system under the budget constraint.

The application discloses an intelligent monitoring, tracing and early warning management system covering the whole link of animal epidemic diseases, and relates to the technical field of intelligent animal husbandry and epidemic disease prevention and control. The system comprises a monitoring and sampling management module for collecting animal epidemic disease data, an epidemic disease data management module connected with the monitoring and sampling management module for centralized storage, statistical analysis and whole-link tracing of the animal epidemic disease data, a risk early warning analysis module connected with the epidemic disease data management module for animal epidemic disease risk assessment and early warning pushing, a field point collaborative management module connected with the risk early warning analysis module for information intercommunication and task collaboration between a supervision party and a breeding subject, and a system support module connected with the four modules for user identity authentication and data encrypted storage and providing an external system expansion interface. The application can significantly improve the epidemic disease prevention and control efficiency, data accuracy and early warning response speed, and is suitable for large-scale breeding farms and regional animal epidemic disease supervision scenes.

The application discloses a virus storage solution and a preparation method thereof, and belongs to the technical field of virus storage. The virus storage solution prepared by the application can rapidly inactivate and lyse collected viruses, and free RNA in solution can be prevented from being degraded by ribonuclease under the action of the storage solution, so that stable storage of a sample containing virus nucleic acid is realized. The virus storage solution of the application can protect a virus RNA sample, reduce the decomposition effect of RNAase on virus RNA, improve the sensitivity of nucleic acid detection, and is particularly suitable for collection of epidemic virus samples with strong infectivity.

The application provides an influenza prediction method, system, device and medium based on epidemic dynamics, and relates to the technical field of epidemic transmission prediction, which realizes collaborative modeling of data-driven and mechanism-driven by fusing multiple source monitoring data and epidemic transmission mechanism; in the feature engineering stage, the influenza monitoring data is structured and features are extracted, forming influenza transmission features with physical meaning; in the prediction stage, a physical information neural network model based on a deep neural network framework is used, which includes an input layer, a multi-layer feedforward network, a time embedding representation layer and an output layer, and is trained by fusing an observation data fitting and a composite loss function constrained by the epidemic dynamics mechanism, so that the model can fit the historical monitoring data and strictly follow the internal dynamics law of disease transmission, thereby significantly improving the accuracy, interpretability, extrapolation stability and robustness to small samples and noise interference of the prediction result.

The application discloses a method for evaluating and modeling infectious disease space-time intervention based on mobile phone signaling data, comprising the following steps: obtaining an initial population flow matrix of each sub-region through mobile phone signaling data; constructing a SEIRQ model and simulating the propagation process of a pathogen; obtaining intervention measures, combining and optimizing the intervention measures to obtain a plurality of combined measures; obtaining an optimal combined measure based on the SEIRQ model and the plurality of combined measures, and obtaining a final population flow matrix after simulation implementation of the optimal combined measure; comparing the initial population flow matrix with the final population flow matrix after simulation implementation of the optimal combined measure, and evaluating the space-time intervention effect of the infectious disease based on the mobile phone signaling data. The model provided by the application can more accurately capture the transmission differences between different regions and the local outbreak of the epidemic disease, and can visualize the spatial evolution of the epidemic disease, thereby better guiding the formulation of epidemic disease control and intervention measures.

The application discloses a kind of multi-pathogen microfluidic detection and contact signal fusion monitoring system and method, including microfluidic chip module, contact interactive signal acquisition module, local control center module and internet of things communication module, biological detection is carried out to the sample to be measured by microfluidic chip, and the close contact interactive signal data of sample to be measured is synchronously acquired in detection process;The detection result and contact signal are time-aligned and structuredly associated, to generate associated detection data unit;Further based on the associated detection data unit, construct dynamic weight multi-pathogen fusion propagation network of fusion contact intensity, contact duration and time attenuation factor, carry out propagation risk assessment and key network node identification to network node, to realize the early identification of high-risk individual and the tracking analysis of propagation chain, can improve the timeliness and risk identification precision of infectious disease monitoring, suitable for public health monitoring and epidemic prevention and control scene.

The application discloses a kind of based on hoof rot prevention and control method and device of mutton sheep breeding, the method includes S1 sheep house environment optimization, S2 feed preparation, S3 hoof standardization management, S4 intelligent monitoring of epidemic disease;The device is feed blending device, the feed blending device includes base, two support plates are installed on the base, two the support plate is all equipped with rotationally arranged sleeve, the sleeve is coaxially fixed with mixing cylinder, the mixing cylinder is equipped with conveying pipe, the conveying pipe is fixedly connected with two sleeve and is fixedly connected, the sleeve is equipped with the mounting sleeve of fixed connection with it.The breeding method of the application can reduce the incidence of mutton sheep hoof rot by more than 50% by uniformly mixing the feed with the feed blending device, significantly improve the average daily weight gain, effectively solve the problem of hoof rot prevention and control difficulty in traditional breeding, low breeding efficiency, suitable for large-scale mutton sheep breeding scene, with significant economic and ecological value.

The invention discloses establishment and application of a risk assessment system in an introduction process of foreign aquatic animals, and relates to a foreign aquatic animal introduction risk assessment model with 6 first-level indexes and 38 second-level indexes. When the model is used for carrying out risk assessment on foreign aquatic animals, scoring each secondary index, and adding the product of the score of each secondary index corresponding to the primary index and the weight of the corresponding preset secondary index to obtain the score of the primary index; adding the products of the scores of the first-level indexes and the weights of the corresponding preset first-level indexes to obtain a total evaluation score introduced by the aquatic animals; and evaluating the introduction risk of the foreign aquatic animals according to the total score. According to the method, the risk of potential diseases of aquatic animals to be introduced can be evaluated, and the existing foreign aquatic animal introduction related risk evaluation system can be optimized; a risk assessment system for introduction of foreign aquatic animals in the aspects of aquatic species risks, epidemic disease carrying risks, consequences caused by the risks, subsequent breeding conditions and the like is constructed, and a technical support is provided for a management department to explore aquatic animal resource introduction classification supervision system innovation.