92 results about "Infectious disease transmission" patented technology

The invention discloses a method for tracking infection sources and predicting trends of infectious diseases by utilizing mobile phone tracks. The method comprises the following steps: acquiring new infected person data from a disease control and prevention center to obtain new infected persons; acquiring mobile phone traffic data and related base station data of the new infected persons in periods of time before and after the attack; carrying out track visualized analysis on the mobile phone traffic data and the related base station data of the new infected persons on a geographic information system platform; and analyzing the high-danger areas and crowds with infectious disease transmission, and predicting the trends of the infectious diseases. According to the method disclosed in the invention, the mobile phone tracks of the new infected persons and the geographic information system are combined, so that the regions through which the infection sources pass and the environmental conditions of the regions can be rapidly and correctly judged, the high-danger areas and crowds can be determined and prevention and control measures can be adopted in time.

The embodiment of the invention provides a method, device and system for tracking potential infected persons in public places during epidemic situations, and the method comprises the following steps:determining time nodes of activities of confirmed persons in the public places and position information matching the time nodes according to the related information of the confirmed persons; searchingpotential infected persons by means of video frame data provided by video monitoring equipment in public places on the basis of an infectious disease transmission mechanism according to time nodes and position information of the confirmed persons in the public places; tracking potential infected persons based on a multi-target tracking technology, and confirming the identities of the potential infected persons by combining public place key node time. According to the invention, the potential infected persons associated with the diagnosed persons in the public places are actively searched, andthe identities of the potential infected persons are determined. Through data tests, the precision of the invention can reach 80% or above, searching and confirmation of potential infected persons inpublic transport places are achieved to a large extent, and the invention plays an important role in prevention and control of epidemic situations.

An integrated, self-contained hand sanitizer station is provided by this invention. The enclosure of the station may be located in a public venue, and conveniently dispenses wet wipe towelettes for people to clean their hands with a trash receptacle contained within the station for ready disposal of the towelettes by the patrons after their use. By making a good hand hygiene available to customers, a merchant or public authority can help to reduce germs, viruses, and bacteria that can otherwise cause the spread of infectious illnesses.

An integrated, self-contained hand sanitizer station is provided by this invention. The enclosure of the station may be located in a public venue, and conveniently dispenses wet wipe towelettes for people to clean their hands without resort to soap and water. A trash receptacle contained within the station enables ready disposal of the towelettes by the patrons after their use. By making a good hand hygiene available to customers, a merchant or public authority can help to reduce germs, viruses, and bacteria that can otherwise cause the spread of infectious illnesses.

The invention discloses a major infectious disease propagation risk early warning and prevention and control analysis system for COVID-19. The system comprises a propagation model building module usedfor building an infectious disease propagation kinetic model; a model solving module used for solving the infectious disease propagation kinetic model and outputting the change relation of the infectious disease diffusion degree along with time; a propagation risk early warning module used for evaluating the propagation risk of the infectious disease and outputting propagation risk early warninginformation; and a risk prevention and control analysis module used for analyzing the sensitivity of different parameter changes to infectious disease propagation risks and outputting infectious disease propagation risk prevention and control measures. According to the invention, the system can effectively evaluate the dynamic propagation risks of an the infectious disease and timely issue risk early warning information according to the dynamic transmission mechanism of COVID-19, can analyze the effect of different parameters on prevention and control of infectious disease propagation risks, and provides scientific and reliable risk prevention and control measures, so that the risk of large-scale spreading of infectious diseases is effectively reduced, and public health safety is guaranteed.

A data-based infectious disease propagation rate and epidemic situation evaluation method provided by the invention comprises the following steps: firstly, assuming that infectious disease case growthconforms to a natural growth rate model, selecting model starting time, and collecting and counting case data; calculating an infectious disease growth rate and a propagation rate which change alongwith time according to the model; then, adopting an EMD (empirical mode decomposition) method or least square method to give the trend of the propagation rate; and finally, performing extrapolation byutilizing the propagation rate trend, and estimating the moment when the total number of infected persons reaches the maximum value (inflection points appear). The infectious disease propagation rateand epidemic situation evaluation method is simple and direct and is directly driven by statistical data, and the propagation rate dynamically changes along with epidemic situation development. Because the key parameter propagation rate is based on the direct observation data, the change of the propagation rate can be used for tracking the past epidemic situation evolution process according to the existing data, judging the current evolution situation of the epidemic situation or evaluating the epidemic situation prevention and control effect, and the change trend of the propagation rate canalso be used for estimating the future development situation of the epidemic situation.

The invention provides an infectious disease propagation rule prediction method, device and equipment and a storage medium suitable for the technical field of computers. The method comprises the following steps: acquiring disease condition data of an infectious disease in a preset past time period, wherein the disease condition data in the past time period comprises infection data and management and control strength data; according to the disease condition data in the past time period and a pre-trained propagation prediction model, generating a propagation rule of the infectious disease in thepreset future time period, so that the infection condition of the infectious disease and the management and control condition of the infectious disease are considered during prediction, and the prediction accuracy of the propagation rule of the infectious disease is effectively improved in combination with the propagation prediction model.

A user and test sample authentication system and method for identifying COVID-19 infected users is disclosed. An authentication platform receives a first user profile data from a first user device to register to an authentication service and generate a first scannable image. The platform receives a second user profile data from the second user device for registration and generates a second scannable image. A purchase order of a medical kit is placed to perform one or more diagnosis procedures on the first user to identify if the first user is infected by COVID-19. The diagnosis data is encoded to the first scannable image to form a unique corona ID. On scanning the unique ID, the diagnosis data and the user profile data are displayed, whereby the presence of coronavirus infection of the first user is determined before contacting one or more individuals to prevent spread of the disease or infection.

The invention discloses a GIS-based neural-network cellular automaton infectious-disease transmission simulation analysis method. The simulation analysis method conducts a research on an infectious-disease transmission method by comprehensively using GIS, a convolution neural network and a cellular automata and data such as infectious-disease data and investigation and statistics. Based on a geographic information system and a database technology, the simulation analysis method uses convolution neural network to mine and extract a transformation rule of the cellular automata to construct an infectious-disease transmission model, and a centralized management maintenance design mode is adopted for conducting unified control and management on infectious-disease information, cultural information and geographic information within a research area. Texts and graphics integrated functions such as maintenance and management, comprehensive inquiry, thematic maps, spatial analysis and infectious-disease transmission simulation analysis are achieved by the GIS-based neural-network cellular automaton infectious-disease transmission simulation analysis method, and the information level and auxiliary decision-making ability to deal with the infectious-disease transmission of a related department are improved.

System and methods for infectious disease prevention includes transmitting, via a server, a facility credential associated with a facility configured to identify a user operating on an application deployed by server on a mobile computing device. The server receives a user identification test code (UITC) associated with a status of an infectious disease of the user. The server then generates a two-dimensional code associated with the facility credential based on the UITC. The server determines if the two-dimensional code is valid for permitting access to the facility based on a vaccine indicator confirming that the user has been vaccinated for the infectious disease. Thereafter, the server activates the two-dimensional code on the mobile computing device for a predetermined period of time. A gatekeeper device scans the two-dimensional code from the mobile computing device and then permits the user access to the facility within the predetermined period of time based on the facility credential and the two-dimensional code.

Embodiments of the invention provide method and apparatus for prediction the propagation of infectious disease, computer equipment, and storage medium. The method includes: determining one or more to-be-predicted object; matching each to-be-predicted object with a corresponding prediction trace from a historical trace database; according to the prediction trace, determining the propagation trend of the infectious disease among the to-be-predicted objects. In the invention, the prediction trace of the to-be-predicted object is matched from the historical trace database, thus reducing the calculation load of acquiring the prediction trace.

The embodiment of the invention discloses a parameter fitting method of an infectious disease propagation model, a device, a storage medium and electronic equipment; and the method comprises the steps: obtaining real propagation data representing the actual propagation condition of a virus, and obtaining model prediction data through a multi-node infectious disease propagation model; evaluating loss errors between model prediction data and real propagation data through a loss function, and correcting all parameters of the infectious disease propagation model through a back propagation algorithm based on the loss errors to obtain final parameters; and thus the BP-based fitting algorithm utilizes the idea of gradient descent, the fitting speed of the parameters of the infectious disease propagation model can be increased, and the model training time is shortened.

An infectious disease transmission tracking system (10) includes a real-time locating system (RTLS) (12) configured to track locations of tags (14, 15) in a monitored area. At least one electronic processor (22) is in operative communication with the RTLS to receive locations of tags in the monitored area. A non-transitory storage medium stores, a map (30) of the monitored area; a nodes database (32) storing information on nodes (18) in which each node is a person, a mobile object, or a map zone and the nodes database stores information on the nodes including at least (i) an identification ofeach node as a person, a mobile object, or a map zone, (ii) an identification of a tag associated with each node that is identified as a person or a mobile object, (iii) locational information on themap for each node that is identified as a map zone, and (iv) an infection likelihood for each node with respect to a tracked pathogen; and a pathogen database (34) storing infectious transmission information for at least the tracked pathogen including one or more transmission modes for the tracked pathogen and at least one node residency time for the tracked pathogen. The non-transitory storage medium includes instructions readable and executable by the at least one electronic processor to perform an infectious disease transmission tracking method (100) including: computing a pathway (35) on the map of at least one infected node using locations of the tag associated with the infected node received from the RTLS wherein an infected node has a non-zero infection likelihood respective to thetracked pathogen which satisfies an infected criterion; computing an infectious zone (36) on the map along the pathway using the infectious transmission information stored in the pathogen database; for each node contacting the infectious zone, adjusting the infection likelihood of the contacting node in the nodes database based on at least the infectious transmission information for the tracked pathogen and designating the contacting node as an infected node if the updated infection likelihood of the contacting node satisfies the infected criterion.

The invention discloses a propagation model establishing method considering parameter time-varying characteristics. The propagation model establishing method comprises the steps of classifying crowdsof regions involved in a propagation model; constructing an infection rate expression model and a removal rate expression model; and constructing a final propagation model considering the parameter time-varying characteristics. The invention also discloses a prediction method comprising the propagation model establishment method considering the parameter time-varying characteristics. In the propagation model establishing method considering parameter time-varying characteristics and a prediction method, the characteristic that the infection rate and the shift-out rate in the infectious diseasepropagation kinetic model have time-varying characteristics due to fluctuation of various factors in a real environment is considered, a propagation model establishing method considering kinetic modelparameter time-varying characteristics and a corresponding prediction method are provided; the method has stronger reality and interpretability, considers the real-time change of model parameters, and is high in reliability and good in accuracy; meanwhile, the prediction method provided by the invention also improves the reliability and practicability of an epidemic disease development situationprediction result.

The invention provides movable environment disinfection and sterilization equipment. The device comprises a single-wavelength short-wave ultraviolet light source, a control system and a trolley. The wavelength range of the ultraviolet light of the single-wavelength short-wave ultraviolet light source is 200-230 nm. The trolley comprises a main machine box, a controller, a man-machine interaction touch screen and a mechanical arm, and the mechanical arm can rotate at multiple degrees of freedom. The ultraviolet light source comprises an ultraviolet lamp, a controller and a lampshade, the ultraviolet light source is fixed to the mechanical arm, and the controller is installed in the multifunctional control box. The control system plans and controls the advancing route of the trolley. Compared with the prior art, the device does not generate radiation and ozone harmful to a human body, is safe to the human body, has no use limitation, does not force people to leave, and is used for killing microorganisms in public places so as to control infectious disease transmission.

The present invention relates to a method of testing whether a facility is effective in preventing the spread of an infectious disease by a) releasing in or near the facility an effective amount of a biological tracer to simulate the spread of a pathogen that causes the infectious disease; and b) Detecting the presence or amount of biological tracers to determine the spread of biological tracers in the environment of the facility. The present invention also provides a method and apparatus for generating aerosols that simulate human sneezing and coughing, so as to more realistically determine the spread of infectious diseases from such sources.

System and method for infectious disease prevention includes transmitting, via a server, a facility credential associated with a facility configured to identify a user operating on an application deployed by server from a mobile computing device. The server receives a user identification test code (UITC) associated with a status of an infectious disease of the user. The server then generates a two-dimensional code associated with the facility credential based on the UITC. The server determines if the two-dimensional code is valid for permitting access to the facility based on the status of the infectious disease. Thereafter, the server activates the two-dimensional code on the mobile computing device for a predetermined period of time. A gatekeeper device responds to the two-dimensional code from the mobile computing device and then permits the user access to the facility within the predetermined period of time based on the facility credential and the two-dimensional code.

The invention provides a method for identifying parameters of a novel coronavirus propagation model based on a Kalman filtering theory, which is used for solving the technical problems in the prior art that an infectious disease model does not consider the incubation period and the infection rate does not consider the influence of time change, and comprises the following implementation steps of: obtaining a novel coronapneumonia epidemic situation data set; establishing an infectious disease propagation model, supplementing unknown parameters in the infectious disease propagation model by using a Kalman filtering algorithm, modeling an identified infection rate into a time-varying function which decreases progressively along with time, establishing an infection rate change model, and updating the infectious disease propagation model according to the infection rate change model to obtain an optimal infectious disease propagation model for establishing an optimal infectious disease propagation model; and predicting the infectious disease propagation condition by using the optimal infectious disease propagation model. The method effectively improves the accuracy of parameter prediction of the new coronavirus infection model.

The invention discloses an infectious disease transmission prediction system fusing spatio-temporal information and a device applying the system through a method in the field of artificial intelligence. A data collection unit is designed to collect time-related sequence data of different regions, epidemic situation data and an adjacent matrix formed by a spatial relationship, and a correlation analysis unit is used to analyze the correlation between the time sequence data and the epidemic situation data; the data is inputted into an infectious disease transmission prediction model applying a complex network method to form a prediction result; and epidemic situation risks of different regions are rated according to the prediction result, and the prediction result and a rating result are taken as system output results. The system can obtain more accurate epidemic situation prediction results of different regions on the basis of obtaining data strongly related to epidemic situation data and dynamic space connection of different regions.

The embodiment of the invention provides an infectious disease propagation evaluation method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring target trajectory data corresponding to an evaluation object in a preset area in a first time slice, wherein the preset area comprises a plurality of sub-areas; determining a matching subarea matched with each evaluation object in the first time slice based on the target trajectory data, wherein the matching subarea is one of the plurality of subareas; taking at least one of the plurality of sub-regions as a target sub-region, and evaluating an evaluation object in the target sub-region based on the infectious disease model so as to determine a propagation trend of the evaluation object of the infectious disease in the preset region in the first time slice; and taking the next time slice as the first time slice, and executing the above steps again until the target time period is ended, so asto determine the propagation trend of the infectious disease in the evaluation object in the preset area in the target time period. The effect of evaluating the infection trend of each region in a fine-grained manner is achieved.

The embodiment of the invention discloses an infectious disease transmission trend simulation method and device, electronic equipment and a storage medium. The method comprises the following steps: constructing a virtual city, and placing a plurality of agents in the virtual city; according to the transmission rule of the infectious diseases, determining an intelligent body health state conversion rule; according to the migration rule of each agent, controlling each agent to migrate in the virtual city; constructing a contact network among the plurality of agents according to the migration of the plurality of agents in the virtual city; and driving the infectious disease to spread among the plurality of agents according to the contact network among the plurality of agents and the agent health state conversion rule. According to the method and the device, the propagation trend of the infectious disease epidemic situation can be accurately simulated.

The invention discloses an automatic disinfection fingerprint information acquisition device which comprises a box body, a working cavity is formed in the box body, a motor is fixedly arranged on theinner wall of the lower side of the working cavity, and a power shaft rotationally connected with the inner wall of the upper side of the motor is arranged at the upper end of the motor in a power connection mode. The inner wall of the inner side of the working cavity communicates with the right end surface of the box body to form an opening and closing cavity. According to the present invention,by using the pressing force and the resilience force during the fingerprint collection process, a disinfection apparatus is triggered to disinfect the fingerprint collection plate, such that the infectious disease transmission caused by the indirect limb contact during the collection process of a large number of fingerprints is effectively avoided, and the work self-disinfection time is greatly saved; and the fingerprint collection plate is closed in the disinfection process, disinfection failure caused by the fact that a user touches the fingerprint collection plate with the hand in the disinfection process is prevented, an alarm is given to remind a worker of timely supplementing disinfectant fluid when the disinfectant fluid is about to be used up, and the continuity of disinfection work in the fingerprint acquisition process is ensured.

The invention discloses a method enabling beverage containers and tableware to be not easy to be confused, wherein during a party, people walk to each other and exchange seats, and the own beverage containers (for example, disposable paper cups or mineral water bottles) are easy to be confused with the beverage containers of other people, thus increasing the opportunities of infectious disease transmission. The technical scheme in the invention is as follows: a series of attributes related to people is labelled on the surfaces of beverage containers by producers or operators; the attributes such as Chinese phonetic alphabets (corresponding to the phonetic initial alphabets of the first names or the last names), ages, animal zodiacs, star signs, personal hobbies and the like can be used for differentiating everybody; consumers align the own associated attributes on a container with a certain location point while using the container, and then the container is differentiated from the containers of other people; and because the orientations of the containers of other people are different from each other, the probability of mixing the container with other people is decreased.

The invention discloses an infectious disease early warning method and system based on an individual adaptive propagation network, and a medium. The method comprises the following steps: carrying outunified representation on multi-modal infectious disease data; and constructing an interaction model based on the individual adaptive behavior information network and the infectious disease propagation network by utilizing the uniformly represented infectious disease data, analyzing a threshold value of the interaction model, and determining an action relationship between the individual adaptive behavior and the infectious disease propagation according to the threshold value. According to the method, data of different modes can be represented in a unified manner, individual adaptive behaviorscan be accurately described, and the propagation threshold of infectious diseases can be accurately predicted.

The invention relates to an airborne infectious disease early warning method based on a facial recognition technology, which is used for epidemic situation prevention and control. According to the invention, the method includes: utilizing an image recognition technology to recognize a person who does not wear a mask in the image information; recognizing facial features of a person who does not wear the mask by using a facial recognition technology; comparing the facial features of the person who does not wear the mask with data of a person information base to obtain unique identity information of the person who does not wear the mask; and recording the time and place of the behavior of not wearing the mask of the person who does not wear the mask, and if the behavior occurs, the behavior place is located in a high-risk area and the behavior duration exceeds a set value, giving an early warning for the person who does not wear the mask, wherein the personnel information base stores the facial features of the recorded personnel and the corresponding identity information. According to the invention, the information of people who do not wear the mask and the activity time and place thereof are obtained by using the image and face recognition technology, and a potential infectious disease transmission path is found in time and early warning is given out.

The embodiment of the invention discloses an infectious disease prevention and control method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring infectious disease transmission influence factor information and diagnosed user information in a preset area; inputting the infectious disease transmission influence factor information and the diagnosed user information into the trained prediction model, and outputting the predicted infectious disease risk value of the preset area. According to the technical scheme provided by the embodiment of the invention, the infectious disease risk value is predicted by considering the factors influencing infectious disease transmission in the area needing to be predicted, combining the local actual morbidity condition and utilizing the trained prediction model, so that the intelligence of infectious disease prevention and control is realized, and the user can timely acquire the required infectious disease risk value, so the infectious disease can be timely prevented and controlled, more intuitive and effective risk data is provided for the user as reference, and the user can determine a travel plan at any time according to the infectious disease risk value of each current region.

A distributed type traffic line tracing apparatus of the present disclosure is personally installed in a residence of a tracing target person, to automatically verify whether a traffic line of the tracing target person coincides with a traffic line of a confirmed person and automatically report a result to a disease management authority only when the traffic lines coincide with each other in an emergency situation such as an infectious disease pandemic, so that a quarantining target person is discovered and found early while protecting a privacy of an individual much more when compared to a centralized type, thereby rapidly establishing an infectious disease management system for patients with suspected diseases and efficiently managing the patients from the spread of infectious diseases.

The invention provides an infectious disease prediction method and system based on infectious disease dynamics and a medium, and the method comprises the following steps: determining an infectious disease screening region, and carrying out the finite element region division of the screening region according to the crowd density of the screening region, and obtaining a plurality of sub-regions; determining population flow rate parameters according to the population flow factors among the plurality of sub-regions; determining the number of changing people in the sub-region according to the population flow rate parameter, and constructing an infectious disease dynamic model of the sub-region; and predicting the transmission condition of infectious diseases through finite element analysis and an infectious disease kinetic model. According to the method, the development trend of epidemic diseases or infectious diseases can be predicted in a refined manner according to the characteristics of epidemic disease or infectious disease transmission, a disease control department is helped to take reasonable prevention and control measures in time to deal with the influence caused by epidemic disease transmission, and the method can be widely applied to the technical field of epidemic disease prediction.

The invention provides an infectious disease prevention and control traceability system based on a sensor network and big data analysis. The infectious disease prevention and control traceability system comprises a core traceability system and an auxiliary connection system, the core tracing system comprises a universal mobile terminal and a server terminal platform; a plurality of universal mobile terminals are provided, and the core tracing system forms a sensor network with the plurality of universal mobile terminals by using a distributed multi-sensor collaborative sensing algorithm; the universal mobile terminal is used for acquiring contact information of a user through a radio perception and identification technology and uploading the contact information to the server terminal platform; the server terminal platform is used for generating infectious disease prevention and control tracing data of the specific user according to the contact information; and the auxiliary connection system is used for connecting the core tracing system and the external system. The technical problems that when an infectious disease transmission chain is analyzed for a case in a manual investigation mode, the manual workload is large, the investigation efficiency is low, the investigation time is long, the target to be investigated is sharply increased, and the infectious chain is possibly expanded can be solved.