309 results about "Epidemic disease" patented technology

The invention discloses a livestock epidemic disease early warning method and system based on big data analysis, and the method comprises the steps: generating a preliminary epidemic situation diffusion path through employing the farm distribution and traffic network data of a geographic information system in combination with a space-time propagation model, and carrying out the dynamic adjustment according to the real-time updated data; predicting a high-risk area by adopting a multi-source data fusion early warning model; the strain mutation risk is judged by analyzing the relevance between pathogen genomes and environmental parameters; deploying a deep learning model at an edge computing node, analyzing animal husbandry behaviors and voiceprint data in real time, and evaluating the animal husbandry health state; and integrating mutation risk analysis and animal husbandry health assessment results to generate a comprehensive epidemic situation early warning report. Through multi-dimensional data analysis and edge intelligent calculation, accurate early warning of animal epidemic situations is realized, and a scientific basis is provided for epidemic situation prevention and control.

The invention relates to the technical field of food safety intelligent tracing, and discloses a livestock and poultry product epidemic disease and tracing information quality tracing system based on artificial intelligence. The system comprises a raw material file construction module, an abnormal active prediction module, a multi-modal information fusion module, a tracing knowledge graph construction module and an intelligent tracing decision module. The system generates a raw material archive by collecting livestock and poultry raw material information, and analyzes production monitoring data in real time by using a time sequence model to actively predict abnormal nodes of epidemic diseases. After the abnormity is recognized, multi-link heterogeneous traceability information is synchronously called and fused, an abnormal event panorama is generated, and then a traceability knowledge graph is dynamically constructed in combination with an external knowledge base. And finally, automatically generating an optimized traceability query path according to the knowledge graph, and driving a precise traceability process. According to the invention, the conversion from passive recording to active early warning is realized, and the accuracy and efficiency of epidemic disease tracing are improved through deep fusion and intelligent reasoning of multi-source information.

The invention relates to the technical field of animal monitoring, and provides a wild animal epidemic disease monitoring, prevention and control method and system based on artificial intelligence, and the system collects the video stream, the shell temperature, the air pathogen concentration, the sound characteristics, the VOCs spectrogram and other data of wild animals in real time through arranging multi-mode sensor nodes. Real-time reasoning is carried out through a wildness degree AI model in the edge calculation unit, the health state and epidemic disease risk of animals are evaluated, a multi-source risk knowledge graph and a graph neural network are combined, an epidemic situation occurrence probability threshold value is dynamically adjusted by the system, and accurate prevention and control instructions such as risk area division, isolation early warning and material putting schemes are generated; after the epidemic disease risk is confirmed, the system sends early warning information to a prevention and control center through various communication links, and continuously optimizes a prevention and control strategy through reinforcement learning. According to the method, intelligence and precision of epidemic disease prevention and control of wild animals are achieved, complex ecological environment changes can be coped with in real time, and prevention and control efficiency and accuracy are remarkably improved.

The invention relates to the technical field of bird flu host species identification, in particular to a new bird flu high-risk host species identification method based on virus sharing entropy. According to the method, on the basis of spatial distribution prediction of bird flu host species, the bird flu virus sharing entropy of the bird flu host species is calculated species by species according to the overlapping areas of the target host species and all other host species by extracting the distribution area overlapping area of the target host species and any other host species, and the bird flu virus sharing entropy of the bird flu host species is obtained. And quantitatively analyzing the possibility that the target host species and other host species are subjected to avian influenza cross-species transmission infection. By comparing and analyzing the entropy value of the shared entropy of the avian influenza virus, the avian influenza host species with high virus reassortment risk are identified, and a scientific basis is provided for prevention and control of epidemic diseases.

The invention provides a method for simultaneously detecting three hematogenous parasites based on RAA-LFS and application of the method. The method comprises the following steps: firstly, screening target genes of genomic DNA of specific amplified toxoplasma gondii, babesia and plasmodium and primers of the target genes; a primer and probe combination for specifically amplifying the 18s rRNA-1 gene of the toxoplasma gondii, the 18s rRNA-2 gene of the babesia and the 18s rRNA-3 gene of the plasmodium is determined; rapid multiple detection is completed in a reaction system by utilizing an RAA constant-temperature amplification technology, and a detection result is intuitively judged by combining a lateral flow chromatography test strip, so that the detection efficiency is greatly improved, and the result can be obtained in a short time. The RAA-LFS detection method provided by the invention has remarkable advantages in application scenes such as epidemic disease prevention and control or blood screening.

The present invention belongs to the field of biotechnology and relates to a five - plex fluorescence PCR detection reagent for Salmonella, Salmonella enteritidis, Salmonella typhimurium, Salmonella pullorum and Salmonella gallinarum and its application. By using the five - plex fluorescence PCR detection reagent of the present invention, the purpose of simultaneously identifying and detecting Salmonella enteritidis, Salmonella typhimurium, Salmonella pullorum and Salmonella gallinarum can be achieved. It has the advantages of simple operation, rapidity, high accuracy, high sensitivity and good repeatability, and is of great significance for the rapid and accurate detection of clinical animal salmonellosis and epidemic disease prevention and control.

The invention relates to the technical field of epidemic disease prediction, and discloses an intelligent epidemic disease prediction system based on deep learning. A multivariate data acquisition module of the system acquires environmental meteorological data, population flow data, medical resource distribution data and historical epidemic situation propagation data related to epidemic diseases in real time; a deep learning prediction module analyzes regional propagation dynamic characteristics through a space-time diagram neural network according to the multi-source data; a risk area identification module constructs an area risk level thermodynamic diagram according to the area propagation dynamic characteristics, and identifies a high-risk area of which the risk level exceeds a preset threshold value; and the resource matching analysis module calculates the resource coverage range of each medical institution in combination with the medical resource distribution data and the spatial position of the high-risk region. The system can integrate multi-source data, accurately analyze the epidemic propagation trend, intelligently identify high-risk areas, realize reasonable matching of medical resources, and provide effective technical support for epidemic prevention and control.

The invention relates to an animal epidemic disease monitoring data statistical analysis system and method. The method comprises the following steps: a multi-source data fusion module performs standardized fusion processing based on input case data, environment data and population data to obtain a spatio-temporal joint data matrix; a risk probability prediction module performs area scanning shape prediction on geographic feature data and population distribution data in the matrix, outputs a dynamic scanning area set, and performs environment and small sample correction to obtain risk probability distribution; and the hierarchical prevention and control visualization module performs spatial aggregation test based on the distribution, outputs a significant epidemic disease aggregation area, and generates a hierarchical prevention and control thermodynamic diagram in combination with an environment correction factor. According to the system, through multi-source data fusion, geographically adaptive dynamic window prediction and spatial aggregation test, the animal epidemic disease risk probability can be accurately analyzed, an epidemic disease aggregation area is output, a hierarchical prevention and control thermodynamic diagram is generated, and the animal epidemic disease monitoring level and the prevention and control visualization capability are further improved.

The invention provides a PINN-based natural epidemic disease transmission mechanism modeling method and system, which are used for mechanism deduction and space-time prediction of a natural epidemic disease transmission process. The method comprises the following steps: firstly, constructing a host population model and a host-population coupling propagation dynamics model; secondly, the dynamic equation set serves as a physical constraint to be embedded into the physical information neural network; and finally, through joint loss function optimization network learning, bidirectional driving of case data prediction and parameter inversion is realized. The method solves the problems that in the prior art, a host-crowd coupling mechanism is lacked, environmental factor modeling is insufficient, and data driving and mechanism modeling are separated, two-way driving of mechanism modeling and data learning is achieved, and space-time simulation precision, interpretability and model generalization ability are remarkably improved.

The invention provides an application of a CaBBX2 gene in improving the resistance of plants to epidemic diseases, and belongs to the field of plant genetic engineering. The invention finds that overexpression of CaBBX2 can have an obvious inhibition effect on phytophthora of invasive plants. The method provides a new technical approach for plant disease-resistant breeding.

The invention discloses a swine fever and porcine parvovirus bivalent subunit vaccine and a preparation method thereof. The vaccine comprises a first recombinant protein encoded by a first gene, a second recombinant protein encoded by a second gene and a pharmaceutically acceptable carrier. The first gene has a sequence as shown in SEQ ID NO: 1 or an increased or reduced sequence thereof. And the second gene has a sequence as shown in SEQ ID NO: 2 or an increased or reduced sequence thereof. An antigen E2 protein of a hog cholera virus (CSFV) and a VP2 protein of a porcine parvovirus (PPV) are taken as double targets, a recombinant SC-E2 protein with a SpyCatcher tag and a recombinant ST-VP2 protein with a SpyTag tag are respectively expressed in insect cells through a recombinant baculovirus vector, double-antigen covalent assembly is realized in vitro, and the constructed bivalent subunit vaccine can be used for simultaneously preventing and controlling two epidemic diseases and has a good application prospect. And the vaccine has the advantages of high safety, strong immunogenicity, high prevention and control efficiency, easiness in large-scale production and the like.

The invention relates to the technical field of epidemic disease monitoring, and discloses an infected population tracing method and system. The system comprehensively utilizes various data sources such as medical records, public health reports, social media dynamic and geographic position data and the like to realize real-time monitoring and accurate prediction of infectious disease epidemic situations. The system identifies high-risk areas and key propagation nodes through an advanced machine learning algorithm and a mathematical model, and provides accurate prevention and control measure suggestions. The method improves the traceability efficiency, optimizes the resource allocation, effectively supports public health decisions, and provides technical support for epidemic prevention and control. The system can guide a targeted intervention strategy by identifying key nodes and super propagators in a propagation chain, so that the overall propagation risk is reduced.

The invention discloses a method for identifying an early performance behavior of a pig epidemic disease based on a three-axis attitude angle, and belongs to the technical field of intelligent breeding and livestock and poultry health monitoring. According to the method, a wearable device integrated with a gyroscope is worn on the head of a pig, and three-axis attitude angle signals such as a yaw angle (Yaw), a pitch angle (Pitch) and a roll angle (Roll) of the pig are collected in real time. And carrying out sliding processing on the continuous attitude angle data according to a set time window, extracting behavior characteristic parameters, and carrying out comprehensive identification on behavior performance in the early stage of the suspected epidemic disease in combination with behavior chain pattern identification, individual-group comparative analysis, continuous trend monitoring and an abnormal scoring mechanism. The method does not depend on other sensors such as an accelerometer, an image, a sound or a body temperature sensor, only takes the attitude angle as a unique input signal source, has the advantages of low power consumption, light model weight, convenient deployment and suitability for edge recognition, can quickly find out an individual with abnormal behavior in the early stage of epidemic diseases, realizes intelligent early warning earlier than definite diagnosis, and has a good application prospect. The method is suitable for epidemic disease prevention and control and fine management of various large-scale pig farms.

The invention provides a microbial agent as well as a preparation method and application thereof. The microbial agent comprises an artificial strain, namely a bacillus velezensis P43-DegQ strain, which is obtained by carrying out genetic engineering oriented modification on bacillus velezensis XY40-1 serving as an engineering bacterium. The method comprises the following steps: replacing an original promoter of a DegQ gene in bacillus velezensis XY40-1 with a P43 promoter, connecting the DegQ gene in the XY40-1 with a PBE-P43 vector to construct a P43-DegQ recombinant expression vector, and introducing the P43-DegQ recombinant expression vector into the bacillus velezensis to obtain a bacillus velezensis P43-DegQ strain. According to the invention, the yield of the bacillus velezensis abinogen is improved through genetic engineering oriented modification, so that the microbial control effect of a microbial agent containing the strain is improved. A resonance biopesticide suspending agent and a resonance microbial seed coating agent prepared from the microbial agent are subjected to resonance treatment, the effects of plant epidemic disease prevention and control and seed germination are greatly improved compared with the prior art, and the microbial agent has a very strong application prospect.

The invention belongs to the field of canine distemper virus detection, and particularly relates to a canine distemper virus RT-RAA CRISPR / Cas 12b detection kit and a detection method thereof. According to the kit, isothermal amplification is performed by using an RT-RAA universal primer, and then detection is performed by using a CRISPR / Cas 12b detection system consisting of target sequence sgRNA, so that amplification of a target fragment of the N gene of the canine distemper virus and target detection visualization can be effectively realized. The result of the embodiment shows that the RT-RAA CRISPR / Cas 12b detection kit finally designed by the invention is high in specificity and does not have cross reaction with other viruses, the lowest visual detection limit reaches 4.77 * 10 < 1 > copies / mu L, the virus can be instantly detected when the RT-RAA CRISPR / Cas 12b detection kit is used for detecting the CDV, the labor and equipment cost is low, the period is short, and the detection time does not exceed 2 hours. The rapid detection technology can be popularized and applied to epidemiological investigation and epidemic situation monitoring of the canine distemper virus, is suitable for epidemic disease monitoring of wild animals, quarantine of zoos and on-site rapid detection of clinical samples of canines, and has good practical significance and wide market prospects.

The invention relates to the field of artificial intelligence, and discloses a community epidemic risk assessment model construction method based on big data, and the method comprises the following steps: S1, collecting data to construct a heterogeneous space-time atlas; s2, performing node representation learning on the map by using a heterogeneous map attention mechanism in a map neural network, and extracting propagation association features between communities; s3, constructing a coupled cellular automaton model, and simulating a disease transmission process between communities; s4, performing structure mapping and adaptive optimization by adopting a structure transfer learning mechanism; and S5, in combination with a multi-agent reinforcement learning strategy, community-level prevention and control strategy recommendation and risk assessment output are carried out by taking the risk cost as an optimization target. The community propagation potential is modeled by combining population mobility, environmental meteorology and medical resource data, accurate description of a propagation chain in space and time dimensions is realized, the dynamic perception ability of a real propagation path is improved, and the problems of rough description of a propagation scene and large prediction deviation are solved.

The invention relates to the technical field of veterinary epidemic disease detection, and discloses a veterinary epidemic disease remote monitoring and intelligent diagnosis system, which comprises a multi-mode biosensor array including an implantable miniature biochip, a wearable flexible physiological monitoring patch and an environment sensing sensor cluster, the implantable miniature biochip is used for being implanted into a key tissue organ area in an animal body and collecting microscopic physiological data such as cellular metabolism signals and local immune reaction marker concentration in real time, and the wearable flexible physiological monitoring patch is used for being attached to the body surface of the animal. By means of the multi-mode biosensor array and the edge intelligent preprocessing unit, animal physiology and environment data are accurately monitored in real time. The multi-modal biosensor array covers the implantable miniature biochip, the wearable flexible physiological monitoring patch and the environment sensing sensor cluster, and can comprehensively collect in-vivo microscopic physiological data, body surface macroscopic physiological parameters and feeding environment information of animals.

The invention provides a post-war health guarantee and infectious disease prevention system, and relates to the technical field of epidemic disease monitoring. The system comprises a baseline calibration module, a node identification module, a migration modeling module, a path analysis module and a priority analysis module. According to the method, dynamic identification of infectious disease risk personnel is achieved by calculating the deviation degree of the individual physiological state, potential infected persons are found in the early stage, the missing report condition is reduced, and the epidemic situation diffusion path is simulated and predicted by identifying the social contact network of the risk personnel, calibrating propagation nodes and combining the war area road damage condition. The actual crowd migration condition in the war area environment is effectively reflected, road failure analysis and supply chain network optimization are combined, medical material demand levels are graded and classified, the response speed of medical resources in the war area is increased, the treatment sequence is dynamically adjusted through real-time physiological data monitoring in combination with the injury condition change trend, and the treatment efficiency of the medical resources in the war area is improved. And optimal utilization of medical resources is realized.

The invention relates to the technical field of animal epidemic disease detection, in particular to a portable African swine fever detection method based on an ERA-CRISPR / Cas12a technology, space-time separation of ERA constant-temperature nucleic acid amplification and CRISPR / Cas12a detection is realized through a specially designed double-layer reaction tube, and detection can be completed within 30 minutes at 45 DEG C by matching with a 150g portable constant-temperature nucleic acid amplification analyzer. According to the method, an African swine fever virus B646L gene is used as a target, crRNA and Cas12a protein are used for recognizing a target sequence to activate a fluorescence signal, the detection sensitivity reaches 12.1 copies / mu L, and the method has no cross reaction on PRRSV, PRV and other common swine pathogens. The instrument supports Bluetooth connection with a mobile phone to display a fluorescence curve in real time, a result can be automatically judged through a threshold value or is observed by naked eyes through ultraviolet light, the problems of expensive equipment and complicated operation in the prior art are solved, and the instrument is suitable for on-site rapid detection.

The invention discloses an epidemic disease investigation information processing method and system fused with event recognition. The method comprises the following steps: constructing a dynamic knowledge base; deploying an event recognition model in a layered manner; designing an investigation information co-processing rule; performing event offline preliminary identification on the acquired epidemic survey information by using a lightweight model to obtain a preliminary judgment result, and binding the preliminary judgment result with an event association identifier to generate an offline event data packet; receiving the offline event data packet by using the investigation information management end, and querying associated data of the epidemic investigation information through the event association identifier; performing feature extraction on the associated data of the offline event data packet and the epidemic survey information; carrying out feature matching in advance and obtaining a recognition result by combining storage contents of the dynamic knowledge base; and for unmatched features, event depth identification is carried out by using the complete model, an identification result is obtained, and a report is generated. The method can achieve the intelligent circulation of the related data of the survey information, and improves the timeliness and accuracy of event recognition.

The invention relates to the technical field of veterinary biological products. The invention provides a poultry epidemic disease inactivated vaccine adjuvant as well as a preparation method and application thereof. The adjuvant is prepared from the following raw materials in dosage ratio: 70 to 80mL of white oil, 0.5 to 1.5 mL of Tween-80, 1 to 2g of chitosan, 0.5 to 1.5 g of astragalus polysaccharide and 0.5 to 1.5 g of vitamin E. According to the invention, multiple raw materials are utilized, and a triple synergistic mechanism of long-acting slow release, efficient activation and safety protection is formed through emulsion stabilization and targeted delivery at a physical level, multi-channel activation (including natural immunity, adaptive immunity, humoral immunity and mucosal immunity) at an immune level and synergistic oxidation resistance and inflammatory reaction regulation at a safety level; the immune response efficiency, the antibody duration and the safety of the vaccine can be remarkably improved, and the vaccine is particularly suitable for the special immune physiological characteristics of poultry.

The invention belongs to the technical field of spatial modeling, and discloses a spatial modeling method for reconstructing a unified geographically weighted regression model based on parameters. According to the method, a parameter reconstruction technology is introduced into a unified geographically weighted regression model, and in Bayesian inference based on the model, simplified RP prior is constructed, and posteriori distribution in a closed form is derived, so that dependence on a traditional MCMC method is eliminated, and parameter dimension and calculation complexity are remarkably reduced. According to the method, the adaptability and calculation efficiency of the model under high-dimensional spatial data are improved while the uncertainty quantification advantage of Bayesian inference is kept, and the method is particularly suitable for processing large-scale data sets with high spatial heterogeneity; the method is suitable for environment monitoring data modeling, urban traffic behavior prediction, epidemic spatial propagation modeling, regional resource distribution modeling and other data scenes with spatial correlation and local variation characteristics, and efficient modeling, parameter inference and prediction analysis are achieved.

The invention provides a large-scale chicken farm epidemic disease risk assessment method and system, and the method comprises the steps: setting a plurality of sampling points in a large-scale chicken farm, and collecting a corresponding microorganism sample at each sampling point; performing sample treatment and metagenome sequencing analysis on the microorganism sample to obtain pathogenic species and abundance information results corresponding to each sampling point; constructing a sampling point influence matrix, and determining a sampling point weight based on the sampling point influence matrix; determining the pathogen species and the pathogen nucleic acid abundance in the abundance information result, and performing assignment scoring on the corresponding pathogen based on the pathogen nucleic acid abundance to obtain a pathogen score; and determining a final risk score based on the sampling point weight and the pathogen score, and performing epidemic disease risk assessment of the large-scale chicken farm based on the final risk score. According to the method, the accuracy of risk assessment can be improved, a farm is helped to identify and assess potential epidemic disease risks, and targeted measures are taken to prevent epidemic diseases in the bud.

The invention discloses a large-scale breeding method for dairy and meat dual-purpose cattle, and relates to the technical field of livestock breeding, and the breeding steps comprise: S1, selecting a breeding site, obtaining optimal breeding environment data of the dairy and meat dual-purpose cattle based on network big data, according to the obtained breeding environment data, locally screening an optimal breeding environment site as the breeding site, and carrying out site construction, building a cattle farm for both dairy and meat; s2, selecting healthy and healthy milk and meat dual-purpose cattle with regular limbs and good breast development as cattle. According to the method, the occurrence and development trend of epidemic diseases is predicted and the breeding site is managed and controlled by screening out proper feed collocation selection and establishing an epidemic disease monitoring database and an early warning platform, so that cattle herds can be effectively prevented from being infected with epidemic diseases in a large-scale breeding process and spreading the epidemic diseases to other cattle, the epidemic disease prevention and control difficulty and cost are reduced, and the breeding efficiency is improved. And large-scale feeding can be carried out more conveniently.

The invention discloses Erwinia phyllostachys ZX-13 and application thereof in antagonism of epidemic disease pathogenic bacteria of Eupin, and belongs to the technical field of microorganisms. The invention discloses a Erwinia phyllostachys ZX-13, and the preservation number of the Erwinia phyllostachys ZX-13 is GDMCC No: 66800. The Erwinia phyllostachys ZX-13 disclosed by the invention can be used for preventing and treating the epidemic disease of the elaphus japonicus caused by the cryptophyton pseudophyllanthus of the elaphus japonicus; the Erwinia rhizosphere ZX-13 is a biological control potential strain with good antagonism effect, high control effect and good environmental safety, and has good development and application prospects.

The invention provides a large-scale cattle farm epidemic disease risk assessment method and system, and the method comprises the steps: setting a plurality of sampling points in a large-scale cattle farm, and collecting a corresponding microorganism sample at each sampling point; performing sample treatment and metagenome sequencing analysis on the microorganism sample to obtain pathogenic species and abundance information results corresponding to each sampling point; performing sample exception processing on the pathogenic species and the abundance information result to obtain a processing result; determining the pathogen nucleic acid abundance in the processing result, and performing assignment scoring on the corresponding pathogen based on the pathogen nucleic acid abundance to obtain a pathogen score; and carrying out epidemic disease risk assessment on the large-scale cattle farm based on the pathogen score. According to the method, the accuracy of risk assessment can be improved, a farm is helped to identify and assess potential epidemic disease risks, and targeted measures are taken to prevent epidemic diseases in the bud.

The application discloses a clinic epidemic situation monitoring method and device based on a blockchain, a medium and equipment, and belongs to the technical field of blockchains. The method comprises the following steps: monitoring a doctor in a clinic to obtain a monitoring video of a patient during a treatment process; converting the monitoring video into monitoring audio; detecting whether the patient has symptoms of an epidemic disease according to the monitoring audio; if the patient has symptoms of the epidemic disease, generating epidemic situation monitoring content according to the monitoring video or the monitoring audio; storing clinic information of the clinic, identity information of the patient and the epidemic situation monitoring content in a blockchain connected to the clinic; and sending a notification message to an epidemic prevention center so that the epidemic prevention center monitors the patient according to the notification message. The application automatically monitors the epidemic situation of the clinic, saves manpower, avoids the problems of missing reports, hidden reports and tampering with monitoring videos, and avoids wasting disk space. Sending the notification message to the epidemic prevention center can improve the response speed to the epidemic situation.

The invention provides a biological safe and efficient fattening field, and belongs to the technical field of livestock breeding. A negative pressure isolation belt is formed by the outer shell and the inner shell, so that external air is forced to flow through the visible light catalysis quantum dot layer to realize pathogen inactivation while the gas flow rate is controlled. An optical fiber sensing siphon is arranged below the slatted floor to monitor sewage pathogenic bacteria in real time. Live pigs enter the house through the third-stage buffer channel. The system breaks through the limitation of a traditional physical barrier, full-path blocking of a transmission chain of epidemic diseases such as African swine fever is achieved, and the biological safety level is improved by two orders of magnitude.

The invention discloses an epidemic disease early warning system and method based on college volunteer participation, and relates to the technical field of epidemic disease early warning. The epidemic disease early warning method based on college volunteer participation comprises the following steps: acquiring related data of a corresponding community based on college volunteers; solving an optimal solution of the speculation model by using a trust region algorithm; finishing feature processing, mapping a feature value into an output value, and obtaining a final prediction result of the corresponding community; and completing the precision evaluation of the corresponding community prediction result. According to the method, the early warning time is greatly shortened, independent early warning of each independent community in a regional range is completed in a point form, the early warning condition of each independent community in the region is combined, a prediction result is fused, an existing relatively mature neural network speculation model is combined, external data such as weather and medical treatment of the region are imported, and the early warning efficiency is improved. The operation of the direct data end is simple, and the subsequent speculation efficiency is improved.

The utility model relates to a blood drawing fixing device for animal epidemic diseases. The blood drawing fixing device comprises a working table, a first through hole and a fixing part, wherein the working table is used for supporting an animal suffering from the epidemic diseases; the first through hole is formed in the working table and used for allowing one leg of the animal to penetrate through; due to the adoption of the technical scheme, when the blood drawing fixing device for the animal epidemic disease is used, the animal can be fixed without being pressed by manpower, and manpower can be saved.