42 results about "Epidemiology" patented technology

A system and method for pharmacy-level surveillance of all prescription behaviors using one or more artificial intelligence (AI) agents integrated with real-time prescription records, refill timelines, prescriber data, patient histories, PDMP registries, and epidemiological signals. The system evaluates these inputs with configurable heuristics and machine-learned models to detect prescription abuse, public health risks, and equity or bias trends, including overlapping providers, dosage escalation, refill velocity, and prescriber clustering. When an anomaly is identified, a structured alert is routed to pharmacists, prescribers, or regulatory personnel through a secure, role-authenticated communication interface. Each system transaction and user outcome is captured by a Medical Data Governance (MDG) layer, providing cryptographic sealing, timestamping, and immutable ledger storage. In some embodiments, the audit log uses a blockchain-based distributed ledger. The system's feedback-driven, adaptive architecture enables analytic and policy modules to update automatically based on real-time outcomes, public health signals, and usage trends.

The invention provides an anti-duck adenovirus 3 type monoclonal antibody, a hybridoma cell strain and application thereof, the anti-duck adenovirus 3 type monoclonal antibody is secreted by a hybridoma cell strain 2F12, the classification name of the hybridoma cell strain 2F12 is Hybridoma cell line 2F12, the hybridoma cell strain 2F12 is preserved in China Center for Type Culture Collection on November 13, 2025, the preservation address is Wuhan University, Wuhan, China, and the preservation number is CGMCC NO. The preservation number of the strain is CCTCC (China Center For Type Culture Collection) NO: The blocking ELISA kit for detecting the duck adenovirus 3 antibody, which is prepared by utilizing the monoclonal antibody, is strong in specificity, high in sensitivity and good in repeatability, and has a very good application prospect in the aspects of epidemiological investigation of the duck adenovirus 3, vaccine immune efficacy evaluation and diagnosis of the duck adenovirus 3 disease.

The invention relates to the technical field of medical artificial intelligence and public health data management crossing, in particular to an intelligent tuberculosis screening and data analysis management system which comprises a data acquisition module, an intelligent screening module, a data analysis management module, a clinical interaction module and a system management module. The multi-source data fusion and the dynamic threshold reasoning enable the early-stage tiny focus detection rate to be larger than or equal to 85%, the screening time is shortened to 5 minutes per case (80% higher than that of manual film reading), cross-mechanism and cross-dimension data integrated acquisition and sharing are achieved, 'hospital-disease control-grassroots' data intercommunication is achieved, and the screening efficiency is improved. Complete data support is provided for epidemiological analysis, longitudinal individual tracking and transverse group analysis are combined, the early warning period of regional outbreak is larger than or equal to 2 weeks, and a public health prevention and control gateway is assisted to move forwards.

The invention discloses a primer and a kit for rapidly detecting yersinia rouxii through RPA-CRISPR / Cas12a and application of the primer and the kit, and relates to the technical field of disease prevention and control in aquaculture. The invention aims to solve the problems that the existing detection method is time-consuming and labor-consuming, is easy to cause pollution and needs to be matched with professional detection equipment. According to the present invention, the RPA amplification primer is composed of a forward primer yrp1-RPA-F2 and a reverse primer yrp1-RPA-R2, the crRNA is yrp1-crRNA-R1, and the kit for rapid detection of yersinia rouxii contains the RPA amplification primer and the crRNA. The method for rapidly detecting yersinia rouxii comprises a fluorescence method and a test paper method. The method disclosed by the invention has the advantages of good inclusiveness, strong specificity, high sensitivity and the like, detection is carried out based on the RPA primer and the crRNA, and the obtained RPA product is detected by using a lateral flow chromatography test strip and fluorescence, so that the purpose of portable visual rapid detection on site or in a breeding base is achieved, and the method is suitable for large-scale popularization and application. The method has very high clinical application value in the aspects of early discovery of diseases, epidemiological investigation and comprehensive prevention and control.

The invention discloses a porcine epidemic diarrhea virus G2c genotype strain as well as a separation method and application thereof. Aiming at the current epidemic PEDV variant strain, the genetic variation rule of the epidemic strain is clarified by carrying out virus separation, identification and pathogenicity analysis, and the method has important significance on epidemiology, vaccine development and the like of the PEDV. Specifically, an applicant successfully separates a PEDV strain capable of realizing stable passage propagation in Vero-CCL81 cells from intestinal contents of diarrhea piglets collected from a pig farm of Jiangpermanent Province in Hunan, the PEDV strain is identified and determined as a porcine epidemic diarrhea virus G2c subtype, the PEDV strain is named PEDV CH / HNJY / 2025, the PEDV strain is preserved in China General Microbiological Culture Collection Center on December 11, 2025, and the preservation number of the PEDV strain is CGMCC NO. The preservation number is CGMCC (China General Microbiological Culture Collection Center)

This invention discloses a primer set for amplifying a novel HCV subtype 6xp and a primer set for detecting drug resistance mutations. The primer set for amplifying the novel HCV subtype 6xp includes nested PCR primers for amplifying the full length of the novel HCV subtype 6xp, while the primer set for detecting drug resistance mutations is a set of primers targeting drug resistance mutation sites in the three functional regions of NS3, NS5A, and NS5B. The primer set provided by this invention has high specificity and high amplification efficiency, enabling specific amplification of the entire genome of the novel HCV subtype 6xp and accurate detection of drug resistance mutation sites in the three functional regions. It is suitable for clinical diagnosis, antiviral treatment guidance, epidemiological surveys, and viral evolution research of this subtype, and has significant clinical application value and scientific research significance.

The invention relates to the technical field of biological detection, relates to a dual RT-ddPCR detection method for equine encephalomyelitis viruses in the eastern and western parts, and in particular relates to a monitoring and quantitative detection method for samples with relatively low equine encephalomyelitis virus content or complex matrix, such as feeds, animal tissues and animal-derived products. The double reverse transcription microdroplet digital PCR detection method for the equine encephalomyelitis virus, established by the invention, is strong in specificity, high in sensitivity, good in repeatability and strong in anti-interference capability, and can be used for absolutely quantifying the copy concentration of the eastern equine encephalomyelitis virus EEEV and the western equine encephalomyelitis virus WEEV in an actual sample; a novel and reliable technical method is provided for early trace early warning and monitoring of Eastern equine encephalomyelitis virus EEEV and Western equine encephalomyelitis virus WEEV infection, differential diagnosis of other common viruses, research of propagation rules of the viruses, epidemiological risk assessment and other systematic applications.

The invention provides a fluorescent quantitative PCR (polymerase chain reaction) detection primer, a kit and a method for a novel variable chalmavirus VP gene, and belongs to the technical field of virus detection. A specific primer is designed and synthesized according to a conserved sequence of a VP gene of the novel variant chalmavirus, a recombinant plasmid is constructed, then the recombinant plasmid is used as a standard substance to establish a standard curve, a real-time fluorescent quantitative PCR detection system aiming at the novel variant chalmavirus is constructed, and specific detection of the novel variant chalmavirus is realized. The detection method can be used for quantitatively detecting the novel variant chalmavirus in the to-be-detected sample, and has the characteristics of high speed, high sensitivity, strong specificity and the like; the method provides a key technical support for molecular epidemiological investigation of the Sepamavirus in animal populations, is helpful for realizing early screening of infected individuals and timely blocking of virus transmission, and has important practical significance for guaranteeing population health and maintaining high mountain ecosystem stability.

The invention discloses construction and application of an interpretability model for virus molecular propagation network clustering. The construction comprises the steps of sorting a sample data set, preprocessing the data set, constructing a model, training, selecting an optimal model for interpretability analysis and the like. The method has the advantages that sequences and epidemiological information are converted into digital signals at the same time, comprehensive information fusion is carried out, and interpretable comprehensiveness and accuracy are achieved; meanwhile, an SHAP black box model is used for explaining a framework, an optimal model is selected for interpretability analysis, the SHAP value of each sample feature is calculated, contribution of the features to a model prediction result is quantified, and composition and features of the network are more effectively explained.

This invention discloses a kit for detecting porcine reproductive and respiratory syndrome virus (PRRSV) antibodies and its applications, belonging to the field of animal disease detection technology. The kit uses a mutant nucleocapsid protein (N protein) of the PRRSV-2 class NADC30 strain CHsx1401 as the coating antigen; the N protein mutant has mutations at amino acid positions 23, 75, and / or 90 compared to the wild-type N protein. High purity is achieved through optimized prokaryotic expression systems and purification processes. Under optimal detection conditions, the kit exhibits strong specificity, high sensitivity, and good reproducibility, with significantly superior detection performance compared to existing commercial kits. It can be used for PRRSV-2 antibody detection, epidemiological surveys, and disease control.

This invention relates to a primer set and probe set for dual real-time quantitative PCR detection of GAstV-1 and GAstV-2. The sequences of the primer set are shown in SEQ ID NO. 1-3, and the sequences of the probe set are shown in SEQ ID NO. 4-5. This invention provides a primer set, probe set, and kit for dual real-time quantitative PCR detection of GAstV-1 and GAstV-2, and establishes a detection method capable of simultaneously detecting GAstV-1 and GAstV-2. This method has advantages such as saving primer quantity, reducing detection costs, simultaneous detection, rapid detection, high efficiency, accurate quantification, high sensitivity, strong specificity, and good reproducibility. It lays the foundation for conducting molecular epidemiological surveys of GAstV-1 and GAstV-2 and subsequent scientific prevention and control of related diseases, and has significant research value.

The application provides a general avian infectious bronchitis virus whole genome deep sequencing method and application. The method realizes efficient amplification of long fragments of whole genomes of different genotype IBV epidemic strains by designing and applying a set of combinations containing 24 pairs of specific primers. The specific sequences of the primer combinations are shown in SEQ NO:1 to SEQ NO:48. Compared with a traditional sequencing method, the application significantly reduces the sequencing cost. Only two PCR reactions are needed, and more than 27 kb of IBV full-length genome sequence can be successfully obtained, which provides a more economical and efficient solution for IBV related scientific research and molecular epidemiology monitoring, and helps to promote the development of related field scientific research.

The application discloses a kind of Chinese lung cancer high-risk population risk prediction method based on multi-modal feature fusion, comprising: step 1, data acquisition;Step 2, data preprocessing;Step 3, multi-source risk feature evaluation and screening: verify and evaluate the prediction efficiency of lung cancer epidemiology risk score, tumor marker and lung cancer related multi-gene risk score, and screen out the optimal single dimension score of each dimension from it;Step 4, multi-modal score construction: according to the smoking status of participants, the population is divided, the optimal single dimension score of each dimension screened out is standardized, then the multi-source features are fused using Logistic regression model and the weighted coefficients are optimized, and the multi-modal lung cancer risk prediction score suitable for smokers and non-smokers is constructed respectively.The present application has superior discrimination performance, can accurately identify high-risk individuals, guide subsequent imaging examination and early intervention, and improve the early diagnosis rate and treatment effect of lung cancer.

The invention relates to the technical field of public health management and decision-making, and discloses a public health risk comprehensive evaluation and decision-making optimization method based on multi-source information, and a constructed emergent public health event analysis model comprises a medical resource competition sub-model and an infectious disease diffusion sub-model. Model calibration, a nonlinear generalized predictive adaptive control law and comprehensive overflow effect evaluation based on data envelope analysis are adopted to deeply integrate infectious diseases, a resource competition theory, an optimal control theory, operational research and an information theory method; a comprehensive model system capable of reflecting complex system interaction of'epidemic situation-resource-decision-society 'in public health events is constructed, strong robustness and dynamic optimization capability for dealing with uncertainty are achieved, the model precision and reliability are remarkably improved, errors are reduced, the defect that traditional evaluation is single is overcome, and the method is suitable for popularization and application. The overall effect of emergency decision making can be comprehensively evaluated from multiple aspects of medical treatment, society, economy and the like, and efficient and comprehensive decision making support is achieved.

The invention provides a zoonosis risk prediction method coupling climatic factor time sequence characteristics and land utilization space landscape characteristics under the background of climate and land utilization change, and relates to the technical field of zoonosis space epidemiology. According to the method, land utilization types such as buildings, roads, greenbelts and water bodies are identified through high-resolution remote sensing, landscape features are constructed, weather time sequences such as air temperature, rainfall and humidity are obtained by combining a geographic space big data cloud computing platform, and climate features are extracted by adopting a long-short-term memory network; and meanwhile, spatial population distribution characteristics are formed by utilizing the population data set. And based on the multi-source spatial-temporal characteristics, constructing a multilayer perceptron to simulate and predict the propagation rate. A true propagation rate is calculated based on the case matrix and the susceptible-infected-restorer epidemiological model. And calculating a loss function of the predicted propagation rate and the real propagation rate to optimize deep learning network parameters, and realizing risk dynamic assessment of the coupling space-time propagation mechanism.

This invention discloses an intelligent triage and etiology early warning system and method for acute abdominal pain, belonging to the field of medical technology. It aims to solve the problem of low triage efficiency in existing technologies for emergency response to public health emergencies when a large influx of patients occurs. The system includes a data acquisition module, an intelligent triage module, an etiology analysis and early warning module, and a terminal interaction module. The data acquisition module collects patient information, including basic information, symptom information, physical signs information, epidemiological history information, and auxiliary examination data. The intelligent triage module, based on patient information and a built-in acute abdominal pain triage model, matches patients' severity levels with the appropriate departments. The etiology analysis and early warning module integrates batch patient information, extracts key features, performs commonality analysis, identifies concentrated etiologies, and issues graded early warnings based on the severity of the etiology. This invention has the advantage of improving triage efficiency.

This application provides a method and system for infectious disease risk prediction based on a large language model and wastewater monitoring. The method includes: acquiring a multimodal time-series dataset of a target area in a first time period, wherein the multimodal time-series dataset includes wastewater epidemiological data sequences of the target disease, vaccination data sequences of the target disease, clinical monitoring data sequences of the target disease, environmental data sequences, and demographic data sequences obtained based on technologies such as multipathogen hybridization capture sequencing and PCR; converting the multimodal time-series dataset into a text time-series data sequence; inputting the text time-series data sequence into a preset risk prediction model to generate corresponding feature vectors, and predicting the trend of hospitalization rate changes of the target disease based on the feature vectors; and predicting the risk level of the target disease in the target area based on the trend of hospitalization rate changes and the wastewater epidemiological data sequence, thereby improving the accuracy of infectious disease area risk prediction.

The invention relates to the technical field of veterinary intelligent diagnosis, and discloses a beef cattle disease diagnosis-oriented hierarchical multi-dimensional knowledge retrieval method, which comprises the following steps of: firstly, receiving and analyzing a diagnosis query text in a natural language form, and extracting a symptom entity set and a background information set; semantic matching is carried out in a low-layer entity set of the layered beef cattle disease knowledge graph based on the symptom entity set, and a candidate disease entity set is reversely derived through a cause relation and a differential diagnosis relation in the graph; and respectively calculating the interpretation coverage degree of the candidate diseases on symptoms and the consistency degree of epidemiological attributes and background information of the candidate diseases, sorting the candidate diseases through multi-dimensional weighted scoring, and generating a structured diagnosis suggestion containing an evidence chain in combination with a reasoning path. According to the method, the problem of misdiagnosis caused by a traditional retrieval method is solved by fusing the clinical representation and the individual environment background information, and the accuracy and interpretability of beef cattle disease diagnosis are improved.

The application discloses a Mendelian randomization analysis method for correcting sample overlap and pleiotropic bias, and is based on a joint correction framework of IVW, HDL and MR-PRESSO, in which pleiotropic abnormal SNPs are removed first, and then sample overlap bias is quantified and corrected, so that the problem that existing methods can only correct single bias is solved, synchronous and effective correction of sample overlap and pleiotropic compound bias is realized, the estimation accuracy can be ensured in a complex scene with a high sample overlap ratio and pleiotropy, meanwhile, the dependence of MR-APSS and other methods on the InSIDE assumption is abandoned, the problem that the CAUSE method is too conservative is avoided, the false positive rate can be controlled while maintaining high causal discovery sensitivity, the method can be directly packaged into a computer program, and is applied to epidemiological causal inference research of large-scale GWAS summary data, and is efficient in calculation and wide in applicability.

The invention relates to the field of biomedicine detection, and discloses a method for rapidly detecting mycobacterium tuberculosis based on an affinity molecule method. The method comprises the following steps: inducing an affinity protein system taking MABP-2 as a core to express and purify, wherein the system can be independently used or matched with MABP-1 according to a mass ratio of (1: 4)-(4: 1); coupling the NHS / EDC activated carboxyl magnetic beads with an affinity protein system, and carrying out closed washing to obtain a magnetic bead-protein conjugate; incubating a sample to be detected and the conjugate according to the volume ratio of (0.2-0.3): 1 to capture thalli, and extracting and purifying DNA through silicon hydroxyl magnetic beads after cracking; a qPCR reaction system is constructed by using the specific primers, and whether mycobacterium tuberculosis exists in a sample is judged through amplification. The specific primer comprises a forward primer SEQ ID NO. 1 and a reverse primer SEQ ID NO. 2. The kit is high in specificity and outstanding in anti-interference capability, can be used for preparing mycobacterium tuberculosis detection products and assisting in early clinical auxiliary diagnosis of tuberculosis and epidemiological screening, and has a wide application prospect, and the detection sensitivity reaches 102 CFU / mL.

The invention discloses a respiratory tract pathogen prediction method and system based on symptom feature and epidemiological information fusion, and relates to the technical field of medical detection. The method comprises a data acquisition step, a model prediction step, a posterior correction step and a result output step. According to the method, laboratory detection is not needed, pathogens which are most likely to be infected can be rapidly predicted at low cost only by using accessible information such as symptoms, and effective support is provided for rapid screening and detection priority decision-making of primary medical treatment.

The invention provides a propagation risk prediction method based on an adaptive space-time diagram neural network. Comprising the following steps: S1, inputting multi-region epidemic disease monitoring data; s2, generating a dynamic self-adaptive space-time diagram; s3, epidemic disease time sequence characteristic decomposition and spatio-temporal characteristic joint learning; s4, epidemiological domain knowledge guidance; and S5, predicting the multi-region epidemic propagation risk. According to the method, based on multi-region epidemic disease historical case monitoring data, an adaptive space-time diagram neural network construction and epidemiological domain knowledge guiding method is adopted, and implicit spatial-temporal feature dependence in epidemic disease monitoring time sequence data can be dynamically learned; the method is suitable for early warning and long-term prediction of newly-onset and seasonal epidemic diseases, aims at solving the problems that an existing epidemic disease prediction model depends on refined population flow data, dynamic space-time correlation is difficult to capture and the prediction model is insufficient in interpretability, and has the advantages of being weak in data dependence, high in prediction precision, high in interpretability and the like.

This invention discloses an intelligent self-rescue system for marine jellyfish stings, relating to the field of first aid technology for biological injuries. This invention establishes a basic concept popular science system by integrating information on the species, habits, geographical distribution, and hazards of marine organisms to prevent marine organism injuries. It also integrates the clinical manifestations and treatment plans for injuries caused by venomous marine organisms, establishing a training system for treatment skills to aid in the preliminary identification of injury types and improve treatment skills. Furthermore, it integrates relevant data to compile a first aid guidebook and presents relevant medicines and equipment in a modular format for on-site emergency treatment. This effectively addresses the shortcomings and deficiencies in current marine organism injury treatment. Based on the epidemiological characteristics and treatment consensus of marine jellyfish stings, it improves the awareness, treatment skills, and on-site emergency treatment efficiency of potentially high-risk groups and medical personnel regarding marine jellyfish stings, reducing the risk of aggravated injury and mortality from jellyfish stings.

The invention relates to the technical field of biological nucleic acid detection, in particular to a primer probe combination, a detection method and a kit for detecting 8a, 8b, A1, C4 and D11 subtypes of fowl adenoviruses. The primer probe combination comprises five pairs of specific primer probes which are designed according to Hexon gene segments of 8a, 8b, A1, C4 and D11 subtypes of the fowl adenovirus, and the sequences of the five pairs of primers are as shown in SEQ ID NO: 1-SEQ ID NO: 15. The primer probe combination provided by the invention can achieve the detection purpose of distinguishing different subtypes of the fowl adenovirus through a fluorescent quantitative PCR (Polymerase Chain Reaction) reaction. The primer probe combination provided by the invention has the advantages of high sensitivity, strong specificity and the like, and provides a new effective detection means for rapid differential diagnosis, epidemiological investigation and prevention and control of avian adenovirus 8a, 8b, A1, C4 and D11 subtypes clinically.

A system and method for pharmacy-level surveillance of all prescription behaviors using one or more artificial intelligence (AI) agents integrated with real-time prescription records, refill timelines, prescriber data, patient histories, PDMP registries, and epidemiological signals. The system evaluates these inputs with configurable heuristics and machine-learned models to detect prescription abuse, public health risks, and equity or bias trends, including overlapping providers, dosage escalation, refill velocity, and prescriber clustering. When an anomaly is identified, a structured alert is routed to pharmacists, prescribers, or regulatory personnel through a secure, role-authenticated communication interface. Each system transaction and user outcome is captured by a Medical Data Governance (MDG) layer, providing cryptographic sealing, timestamping, and immutable ledger storage. In some embodiments, the audit log uses a blockchain-based distributed ledger. The system's feedback-driven, adaptive architecture enables analytic and policy modules to update automatically based on real-time outcomes, public health signals, and usage trends.

The invention relates to the technical field of molecular biology detection, in particular to an MALDI-TOF MS (matrix-assisted laser desorption / ionization-time of flight mass spectrometry) detection method for simultaneously detecting avian influenza virus (AIV), Newcastle disease virus (NDV), avian infectious laryngotracheitis virus (ILTV), avian infectious bronchitis virus (IBV), fowl pox virus (FPV), fowl adenovirus (FAdV) and fowl metapneumosis (AMPV), and simultaneously can perform preliminary typing on the AIV. The MALDI-TOF MS-based detection method for multiple detection of the poultry epidemic disease viruses has the characteristics of high sensitivity, high specificity, high flux, good repeatability and high accuracy, and can be used for qualitatively detecting three types of subtype viruses of the seven viruses and the avian influenza virus (AIV) in an actual sample. The invention provides a novel and reliable technical method for trace early warning and monitoring of early infection of ten poultry epidemic disease viruses, differential diagnosis of other common viruses, research of propagation rules of the viruses, epidemiological risk assessment and other systematic applications.

The invention discloses a rapid identification method of Brucella canis, and relates to the technical field of molecular detection. The rapid identification method comprises the following steps: extracting genome DNA of a sample to be detected; the genome DNA is used as a template, a primer and probe combination is used for fluorescence quantitative detection, signals of a fluorescence channel are collected, and whether a sample to be detected is Brucella canis or not is identified. According to the invention, a multi-channel fluorescent quantitative detection system is constructed by screening specific SNP (Single Nucleotide Polymorphism) sites of a wbdA gene of Brucella canis and designing a specific primer and probe combination. The primer and probe combination comprises a Brucella universal primer probe and a species specific primer probe, synchronous detection is achieved through different fluorescence labels, Brucella infection can be rapidly confirmed, dog species and other species of Brucella can be accurately distinguished, an efficient tool is provided for rapid identification of the dog species of Brucella, and the primer and probe combination is suitable for rapid identification of the dog species of Brucella. The method has an important practical value for the epidemiological prevention and control of brucellosis and the prevention of zoonosis.

The invention provides a method for generating an animal epidemic prevention and control scheme by using a large model, and belongs to the technical field of animal epidemic prevention and control. Inputting the fusion parameter vector and the epidemiological parameter set into a dual-LoRA fine-tuning domestic open-source large model to output a preliminary prevention and control scheme text set, and performing one-by-one cross check on prevention and control scheme texts through a physical feasibility verification rule base to generate a feasibility score; and calling a correction cue word for the prevention and control scheme text of which the feasibility score does not meet the requirement to trigger regeneration of the large model, performing similarity matching on the prevention and control scheme text passing verification and a historical prevention and control effect database, and performing sorting to output an optimal prevention and control scheme text sequence. The technical problem that the reliability of generation of an animal epidemic prevention and control scheme is insufficient due to low data fusion precision of a multi-source sensor is solved.

The invention discloses a primer and a kit for rapidly detecting aeromonas salmonicida through RPA-CRISPRCas12a and application of the primer and the kit, and relates to the technical field of aquaculture disease prevention and control. The invention solves the problems that the existing detection method is time-consuming and labor-consuming, is easy to cause pollution and needs to be matched with professional detection equipment. The RPA amplification primer disclosed by the invention consists of a forward primer fstA-RPA-F2 and a reverse primer fstA-RPA-R2. The kit disclosed by the invention contains the RPA amplification primer and the crRNA. The method for rapidly detecting the aeromonas salmonicida comprises a test paper method and a fluorescence method. The method disclosed by the invention has the advantages of good inclusiveness, strong specificity, high sensitivity and the like, detection is carried out based on the RPA primer and the crRNA, and the obtained RPA product is detected by using a lateral flow chromatography test strip and fluorescence, so that the purpose of portable visual rapid detection on site or in a culture base is achieved, and the method has a wide application prospect. The method has very high clinical application value in the aspects of early discovery of diseases, epidemiological investigation and comprehensive prevention and control.