46 results about "Epidemic spread" patented technology

A system, method and computer program product for detection of epidemics caused by malware programs or computer viruses. Detection of local and global epidemics is performed automatically. A source of an epidemic is calculated and analyzed based on collected statistics. A spread of the epidemic is predicted and an accurate prognosis referring to the time frame and to geographical areas of the epidemic spread is made. The prognosis is made based on a calculated value of “connection strength” coefficient. The connection strength coefficient reflects a volume of information exchange (i.e., a number and a quality of connection channels) between the countries. An epidemic is detected in its infancy and its spread is monitored in time and propagation across different countries. Then, effective security and protection measures can be invoked in a timely manner.

Epidemic propagation network modeling and inference based on autonomic computing comprise the following step: inferring a propagation network structure and biological parameters associated with epidemic from epidemic monitoring data by adopting a multi-autonomous modeled epidemic propagation network and an epidemic propagation process as well as monte carlo simulation and negative feedback mechanism. The invention provides a new method for monitoring and prevention and treatment of epidemics. Compared with the existing method, the method has the following major advantages that (1) an epidemic propagation network modeling method with wider adaptation range is provided; (2) an effective epidemic propagation network inference method is provided, and the epidemic propagation network structure and the biological parameter associated with the epidemic can be inferred from the epidemic monitoring data; and (3) the method provided by the invention can be used for epidemic risk assessment and validity verification of an epidemic prevention and treatment strategy.

The invention relates to infectious disease epidemic situation prediction and belongs to the field of epidemic disease spreading and control. According to an infectious disease with an immune period, the invention provides an epidemic situation prediction method for the infectious disease having the immune period and influenced by seasons. Compared with the existing models, the method comprises the following steps: considering the influence of the immune period, setting up an epidemic situation prediction dynamic model for the infectious disease having the immune period and influenced by the seasons according to the change rate of relative time of susceptible persons, persons in an incubation period, infected persons and recovered persons, substituting an infection rate, the immune period, the incubation period and the like to obtain the change rules relative to time of all kinds of crowds, and completing the epidemic situation prediction of the communicable diseases. The method has higher prediction accuracy, and provides more reliable evidences for the epidemic situation control.

The invention belongs to the field of propagation and control of epidemic diseases, and relates to an infectious disease epidemic situation optimal control method. The prior art has the defects that the control parameters for the epidemic situation control scheme are not subjected to optimal control; and in the control process of infectious disease epidemic situation, the stricter the control measures are, the higher the control cost is, and the less the number of infected persons is, so the optimal control problems of determining the values of control parameters and minimizing the control cost and the treatment cost of the infected persons need to be urgently solved. The infectious disease epidemic situation optimal control method comprises the following steps of firstly, determining the target function of the control cost of the infectious disease epidemic situation, and then utilizing a genetic algorithm to optimize and solve the control parameter value which is used for minimizing the minimum target function value of the control cost of the infectious disease epidemic situation. The method has the advantage that the optimal control problem of minimizing the control cost and the treatment cost of the infected persons is solved, so the control cost after optimizing is far less than the control cost before optimizing.

An intelligent system for efficiently preventing epidemic spreading by using a mobile phone and a network comprises a smart phone, a service platform, a display device, a management terminal and an inspection terminal. An epidemic prevention APP is installed in the mobile phone to regularly prompt a user to measure human body indexes; and the track of the user is acquired by the mobile phone. AI software is used for communicating with the user to form an epidemic prevention index. Suspected personnel are identified and confirmed according to the epidemic prevention indexes. And the network technology is used for limiting suspected personnel to go out. And the service platform uses AI comparison software to analyze the contact history. A healthy standard-reaching personnel is granted with apass code. The pass code is composed of a graphic code, a flashing icon and a head portrait photo. An inspector checks the pass code by eyes, and allows the user to pass if the health reaches the standard. Temperature measurement at an intersection can be canceled, and the efficiency of passerby inspection is thoroughly improved. Strict technical measures are taken to ensure accurate and reliabledata. The system is advanced in technology, epidemic spreading is efficiently prevented through a mobile phone and an AI, and epidemic prevention is guided to be intelligent and informational.

The invention discloses an epidemic prevention and control method, device and apparatus and a computer readable storage medium, and the method comprises the steps: obtaining the information of a target digital fence, and obtaining the movement track information of a target user, wherein the information of the target digital fence at least comprises a virtual digital fence corresponding to an actual geographic region; and determining the matching degree of the action track information and the target digital fence information, and determining the risk degree of disease infection of the target user according to the matching degree. According to the invention, the risk degree of infecting the infectious disease by the user can be judged more accurately, so that the epidemic prevention personnel can manage and control the coming and going personnel conveniently, epidemic spread caused by random action of the personnel with the infection risk is avoided, the personnel management and controlwork effect is better, and the efficiency is higher.

The invention relates to the technical field of novel coronavirus detection, and discloses a novel coronavirus (COVID-19) antigen detection kit. The novel coronavirus (COVID-19) antigen detection kitcomprises a cuboid paper box package, wherein a detection card, a sterile swab, a sample extraction solution, a sample extraction tube, a suction head and a specification are arranged in the cuboid paper box package; the detection card comprises a card shell and a test strip; the test strip comprises a sample pad, a marking pad, an NC film, absorbent paper and a PVC bottom plate; and the marking pad is provided with a colloidal gold-marked murine N protein monoclonal antibody I. The detection kit disclosed by the invention is high in specificity, high in detection speed and simple and convenient to operate, does not need special equipment or professional operation, can be applied to preliminary screening of various places such as communities, primary hospitals, airports, customs and even families, can judge results within several minutes, and provides a simpler, more convenient and faster field detection means for suspected patient investigation and asymptomatic infected person screening, thereby preventing epidemic spread as soon as possible.

The invention provides a method for predicting cross-regional transmission of new infectious diseases in an open system, and belongs to the field of public health and medical treatment. The method includes: firstly, based on transmission dynamics of virus diffusion in an open system, a bin model of an epidemic situation center is established and used for describing cross-regional output of infected persons of the epidemic situation center; secondly, according to a cross-regional propagation network + chamber model, which is output by an epidemic situation center to other regions, of infected persons, establishing a regional differentiated infectious disease dynamics prediction model; and finally, the model parameters are estimated according to actual data, and the population quantity dynamic state in each bin in a plurality of areas can be simulated. According to the method, the closure and homogeneity of the epidemic propagation prediction model are improved, and the method has important scientific significance.

The invention discloses a DNA loaded Brucella ghost composite vaccine. The preparation method comprises following steps: introducing a suicide plasmid that contains a nucleic acid molecule encoding atemperature sensitive regulatory protein cI857, a nucleic acid molecule encoding a bacteriophage splitting protein E, and a nucleic acid molecule encoding a bacterial nuclease protein A into Brucella;utilizing a homologous recombination technology to obtain recombinant Brucella; culturing the recombinant Brucella to obtain a bacterial solution, processing the bacterial solution at a high temperature, collecting bacterial cells, and adding target DNA to obtain the DNA loaded Brucella ghost composite vaccine. The composite vaccine has following advantages: (1) the vaccine has the characteristics of bacterial ghost, compared with a conventional killed vaccine or an attenuated live vaccine, the side effect of the composite vaccine is small, the safety is high, and the protection effect is good; and (2) the bacterial ghost is a safe and effective carrier for delivering DNA vaccines, can introduce nucleic acid vaccines into antigen presenting cells, and performs high efficient expression. The composite vaccine has an important meaning for controlling the epidemic spreading of brucellosis and has a wide application range.

The invention discloses a kit for detecting novel coronaviruses (2019-nCoV) based on a double amplification technology and an application of the kit. A collected sample is lysed by a cell lysis solution and then pathogen nucleic acid is released; and amplification of a pathogen nucleic acid fragment is realized through reverse transcription and transcription processes. An amplified RNA product isadded to a micropore coated with a coating probe, and a specific probe and an amplification probe are added at the same time, wherein the coating probe can be combined with one end of the specific probe CES to fix the amplified RNA product; and one end of the specific probe LES is bonded to the RNA product, and the other end of the specific probe LES is combined with the amplification probe to realize signal amplification. RNA extraction is not needed, and the kit is not easy to pollute in detection, has high sensitivity and strong specificity, can quickly and efficiently detect the novel coronaviruses (2019-nCoV), and has great help for epidemic spread and prevention.

The invention provides an epidemic disease monitoring system based on cloud computing, and the system comprises a medical information system and a cloud platform system, wherein the medical information system is used for acquiring epidemic disease monitoring data registered in real time and transmitting the epidemic disease monitoring data to the cloud platform system; and the cloud platform system is used for receiving the epidemic disease monitoring data, establishing an epidemic disease propagation model according to the epidemic disease monitoring data, simulating a propagation outbreak trend of epidemic diseases according to the epidemic disease propagation model, and calculating epidemic disease early warning information according to a simulation result. On the basis of real-time collection of epidemic disease information, the epidemic disease outbreak trend can be predicted in real time, a disease management department can master the possible epidemic disease outbreak risk at the first time, and corresponding prevention measures are taken in advance. According to the invention, the epidemic disease monitoring effect and the reliability degree are indirectly improved.

The invention provides movable automatic spray channel disinfection equipment used for containers. The movable automatic spray channel disinfection equipment comprises a movable door frame, an induction device and a spray disinfection system, wherein the movable door frame allows a vehicle carrying the containers to pass through; the induction device is used for inducing situations that the vehicle enters and exits from the movable door frame; the spray disinfection system is used for performing spray disinfection on surfaces of the containers in response to the situation that the induction device induces that the vehicle enters the movable door frame. The movable automatic spray channel disinfection equipment can overcome defects of existing vehicle-mounted spray type and fixed channel type disinfection methods, finishes epidemic prevention and disinfection treatment on surfaces of imported container bodies one by one in first time and first place of entry, and lowers the possible epidemic spread risk to the maximum extent.

The invention relates to an improved biological insecticide and a preparation process thereof. The recombinant spodoptera exigua nucleopolyhrdrovirus preparation comprises the following components in percentage by weight: 1-10 percent of mixed nucleopolyhrdrovirus suspension, 74-94.5 percent of carrier, 1-4 percent of dispersing agent, 1-4 percent of wetting agent, 0.5-4 percent of photoprotectant and 1-4 percent of speader, wherein the mixed nucleopolyhrdrovirus suspension comprises 50 billion PIB (Polyhedral Inclusion Body) / g of recombinant spodoptera exigua nucleopolyhrdrovirus suspension and 50 billion PIB / g of wild type spodoptera exigua nucleopolyhrdrovirus suspension which are mixed according to a weight ratio of 3:1. The virus preparation is used for infecting host insects, which not only maintains the characteristic of high disinfestation efficiency of the recombinant viruses, but also can ensure that the dead host infected by the recombinant viruses is liquefied so as to be beneficial to the epidemic spread of the recombinant viruses in the environment, thereby the problem of poor continuous control effect on target pests when the recombinant viruses deleting egt genes are singly used is effectively solved.

The invention discloses a time sequence network immunization method based on random walk. The method comprises the following steps: firstly, acquiring an initial network structure and node neighbor information according to original data in a network; secondly, setting random walk parameters according to the initial network structure and node neighbor information; then determining immunization timeaccording to the network structure and the random walk parameters; constructing a time sequence accumulation network according to the immunization time; implementing a random walk process, and determining immune nodes until a certain proportion of nodes are immunized; taking the state of the immune node in the random walk process as an initial state, and carrying out epidemic propagation; and finally, counting the proportion of infected nodes in the network in a steady state. According to the immunization method, the immune cost can be effectively reduced, and a certain immune effect is achieved.

The invention provides an epidemic disease prediction, prevention and control system based on big data, which comprises a big data module, a population contact network construction module, a propagation model construction module and a prediction, prevention and control module, wherein the big data module is connected with a population general survey database, a bus information card system and a hospital information collection system, and is used for obtaining population general survey data, bus information card data and crowd contact data in the hospital; the population contact network construction module is used for constructing a population contact network according to the population general survey data, the bus information card data and the population contact data in the hospital in thebig data module; the propagation model construction module is used for establishing propagation models for different epidemic diseases based on the population contact model; and the prediction, prevention and control module is used for predicting a propagation outbreak trend of the epidemic disease based on the epidemic disease propagation model and making an epidemic disease prevention and control strategy according to a prediction result. According to the invention, the population contact network is constructed based on the obtained big data, the reliability of the epidemic propagation model is improved, and the reliability and accuracy of epidemic prediction, prevention and control are further improved.

A system and method is disclosed for monitoring the containment of an epidemic in relation to a location-based restriction using an anonymized database of spending records. The system measures the effectiveness of a restriction by analyzing the spending records of individuals in the population and identifies transaction trends that relate to the restriction and correlates them to the effectiveness of the restriction. Based on the identified transaction trends, the system calculates the effectiveness and analyzes the restrictions according to expected trends and models of epidemic spread by geography. The system utilizes the measured effectiveness and predictive analysis to generate notifications if the effectiveness does not meet prescribed requirements and to recommend corrective action. In addition, the system can dynamically update restrictions, implement new restrictions and in certain embodiments, the system can elicit (and respond to) actions that are taken at remote devices, such as mobile phones, computers and POS terminals.

The invention discloses an interpersonal-relationship-perceived advertisement pushing method in online social networks. The interpersonal-relationship-perceived advertisement pushing method in onlinesocial networks combines a PageRank algorithm with a negative relationship and a positive relationship of a user to obtain a seed user set in the online social networks, utilizes the seed users in theseed user set to perform advertisement pushing on other users in the online social networks, and, combined with SIR and independent two cascaded epidemic propagation models, explores the impact of the positive and negative relationships between the users on the credibility of products. The interpersonal-relationship-perceived advertisement pushing method in online social networks maximizes the number of audiences of advertisement and improves the advertisement propagation efficiency by finding the optimal seed user set and employing the reasonable credibility updating method, thus having better performance for the advertisement pushing method, compared with a traditional advertisement pushing method.

A three-in-one device is provided, which incorporates functions of a water heater, a water dispenser and a cabinet-type air conditioner. The device is implemented by connecting three water-storage condensation heater exchangers in series at the heat-radiating end of a compressor, cooling a condenser via the cold energy in the low-temperature water to improve the power of a refrigerator by 50%. During the process of cooling the refrigerator, the heat produced by the air conditioner is used as a heat source for the water heater and the water dispenser, and the heat can be heated to a moderate temperature of 50 DEG C and a high temperature of 80 DEG C to substitute the water heater. The water flowing out of a front faucet of a cabinet is treated by a filter and then is used as purified water to substitute the water dispenser. The device is in closed circuit and in pressure state to give no chance for epidemic spread and terrorist empoison. An air inlet is provided on the top of the device, and an air filter is arranged inside the air inlet. The air is filtered and then discharged, so as to refresh the air. The device realizes the refrigeration, heat radiation and heat consumption, keeps the balance between the heat and the cold, and makes full use of the waste heat to reduce the consumption of heat supply resources by 60% and water 10%. The device serves as an air conditioner without outdoor unit and heat discharge, and is the environment-friendly, perfect and ideal device with easy use.

The invention discloses an epidemic dynamics prediction method based on the dynamic characteristics of a multi-chamber model, and belongs to the field of epidemic prevention. In order to accurately describe a propagation chain of epidemic diseases and predict epidemic situation development, firstly, an epidemic disease kinetic model for refining bin division is established, the propagation rule of epidemic disease diffusion is described, and whether differentiated infected are or are not confirmed cases, have or do not have symptoms and can or cannot be hospitalized are considered; secondly, a time-varying regeneration number is calculated, and the dynamic characteristics of epidemic propagation are depicted based on the time-varying regeneration number; and finally, main parameters of a biological mathematical equation are estimated, and epidemic dynamic situations are fitted, and a diffusion trend is simulated and predicted by using the kinetic model. According to the method, the dynamic transmission characteristics of the infectious diseases can be accurately described under the framework of the bin model, the diffusion trend of the infectious diseases can be further predicted, a theoretical basis is provided for scientific epidemic prevention and accurate strategy implementation of the emergent infectious diseases; and the method has important scientific significance.

The invention discloses a double-layer network virus spreading model establishing method based on individual alertness, which researches the propagation dynamics of multiple networks by introducing individual alertness on the basis of a double-layer network spreading model, wherein the individual alertness is generated by an individual according to probability after acquiring consciousness. The method comprises the following steps of: constructing a double-layer network model of information transmission and epidemic spread; considering the influence of individual alertness on the contact behavior; the effect of the probability of an individual developing alertness on the infection rate of an epidemic; and establishing the double-layer network virus spreading model based on individual alertness. The method can describe the processes of epidemic spread and information awareness diffusion in the social contact network, can consider the heterogeneity of the influence of the information awareness on the individual behaviors, and can better describe the virus propagation dynamic behaviors in the complex network.

The invention relates to an epidemic disease propagation network reconstruction method and system based on node similarity, and belongs to the field of epidemic disease data reconstruction analysis. The method comprises the following steps: firstly, integrating a flow regulation report to preliminarily establish a local epidemic disease propagation network, then defining node similarity indexes of three types of epidemic disease propagation networks based on a network structure and node attributes, then adding possible missing edges to the local epidemic propagation network by calculating similarity indexes of node pairs to reconstruct the epidemic propagation network, and finally, comparing the network reconstruction accuracy under different indexes. The problems that in existing epidemic disease analysis, a propagation chain is difficult to mine, propagation characteristics are difficult to analyze accurately, and the utilization rate of a large number of flow regulation reports is low are solved, the epidemic disease propagation network capable of truly reflecting a virus propagation path is constructed, the epidemic disease propagation chain can be effectively mined based on the constructed epidemic disease propagation network, the virus propagation speed is analyzed, and the space-time propagation range of the virus is predicted.

The invention discloses a method for predicting the development trend of an unknown novel virus, and belongs to the technical field of epidemiological transmission and control. The method comprises the following steps of data arrangement, data division, data modeling, model prediction and result output. The method for predicting the development trend of the unknown novel virus has the beneficial effects that modeling regression analysis is performed according to different development stages of epidemic situations, so that the problem of lack of pertinence of a model is solved; model iterationis carried out along with data updated every day, comparison and correction with the actual situation are achieved, and the accuracy of prediction and estimation of the infectious disease developmenttrend is guaranteed.

The present invention provides a method and system for tracking the spread of the epidemic. Based on spatio-temporal big data and artificial intelligence technology, the method integrates individual risk factors for the onset of new coronary pneumonia and personal close contact dynamic relationship networks to build a more comprehensive personal infection Risk Assessment Model. The present invention combines the real-time data mining technology with the knowledge map technology, and constructs the personnel space-time relationship map, which can realize the dynamic management of the close contact relationship of infected persons and the cross-departmental knowledge fusion. At the same time, the infectious disease model is applied to the dynamic personnel relationship map with local community structure, combined with epidemiological investigation and research, comprehensively considering the risk factors of individual personnel's disease risk and personal close contact relationship, to achieve scientific, rapid, accurate and dynamic Personal infection risk assessment and modeling prediction, so as to facilitate the early detection of high-risk potential infections, which is conducive to improving the ability of epidemic prevention and control management.

The invention discloses a simple low-noise negative pressure isolation ward device. In the SARS epidemic spreading period in 2003, loss is caused in China due to the lack of serviceable devices for isolating from spirited respiratory infectious diseases; and recently bird flu also happens. The invention provides the simple low-noise negative pressure isolation ward device which can be quickly folded into a compact shape and pushed through castors. A technical cabinet is arranged outside a head end of a sickbed for a patient with the spirited respiratory disease, and is provided with a large air suction opening; and the sucked air is subjected to filtration and high-efficiency filtration for removing viruses and bacteria, and then is discharged. The device adopts a low-noise fan and variousarc plates to reduce noise and tranquilize a sickroom. A ward roof is provided with a U-shaped foldable rod with a roof curtain, purdahs are hung on both sides, and a whole flexible and long batten is arranged outside a foot part of the sickbed. Large-scale activities of China frequently held and various groups from various countries comes to China, so effective disease isolation equipment is suitable to be arranged in large-scale public active places (Olympic Venues and World Exhibition), stations, harbors and airports.

The invention discloses a bluetongue virus-8 detection reagent, detection method and application. The reagent comprises a specific primer pair and a probe, sequences of forward and reverse primers of the primer pair are shown as Seq ID NO.1 and 2, and a sequence of the probe is shown as Seq ID NO.3. In the sequence shown as Seq ID NO.3, fluorescence quenching group-dT is modified by a 32th basic group, a 33th basic group is replaced by a basic group analogue, a fluorescence group-dT is modified by a 35th basic group, and C3Spacer is modified by a 3' terminal. By one-step reverse transcription recombinase polymerase amplification, sensitive, specific and efficient bluetongue virus-8 detection can be realized. By adoption of the reagent, convenient onsite bluetongue virus-8 detection can be realized, and quickness in acquisition of detection results is achieved. An important significance to quick prevention and control of bluetongue virus-8, prevention of epidemic spread and maximum guarantee of production safety is achieved.

The invention discloses an epidemic propagation control method for implementing isolation by considering individual infection states and individual attributes. The invention discloses a sequential network epidemiological research method considering an individual state and intervention measures, and the method comprises the steps: firstly, initializing the activity and attraction attributes of nodes in a network; secondly, carrying out time sequence network structure evolution; then, selecting a passive isolation strategy and an isolation rate pi, and simulating an epidemic propagation processaccording to a time sequence network structure; then, counting the infection state node proportion of the network in a steady state; and finally, deducing a critical infection rate threshold [lambda]cof the epidemic disease under a random isolation measure and an isolation rate pi. According to the method, active isolation, passive isolation and other control measures are taken into considerationon the timing sequence network model conforming to the real situation, the critical infection rate threshold [lambda]c under the random isolation strategy is derived through the mean field approximation method, and a basis is provided for judging whether epidemic diseases can be spread in crowds or not and analyzing the efficiency of the isolation measures.

The invention discloses an epidemic disease intervention method based on detection and contact tracking on a sequential network, and the method comprises the steps: firstly, constructing a susceptibility-latency-infection-recovery-death-hospitalization (SEIRDH) model based on detection and contact tracking according to a mean field theory; secondly, establishing an evolution rule of the sequential network; then, according to an evolution rule of the sequential network, simulating a dynamic evolution process of epidemic propagation; then, counting the proportion of recovery nodes and dead nodes in the network in a steady state; and finally, under detection, contact tracking and isolation measures, theoretically deriving a critical threshold lambda c of epidemic propagation. According to the method, intervention measures such as detection and contact tracking are considered on a sequential network, a kinetic equation of the SEIRDH model based on detection and contact tracking is derived through a mean field theory, a critical threshold lambda c of the kinetic equation is theoretically solved, and guidance can be provided for coping with Covid-19 or other sudden epidemic diseases outbreak in the future.

The invention relates to a sanitary phlegm receiving tank, and belongs to the field of sanitation. The sanitary phlegm receiving tank solves the problems of everywhere splitting and epidemics spread. The center of a square tank (1) is provided with a center hole (3) and a water slot (4). The center hole (3) is connected with a pipe (5) which is communicated to a water containing pan (6) or a pond. The sanitary phlegm receiving tank is used for meeting rooms, streets, stations, docks, schools, markets, factories and families.