91 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 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.

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.

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.

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.

A system (10) includes a real-time locating system (RTLS) (12) configured to track locations of tags (14, 15) in a monitored area. A non-transitory storage medium stores, a map (30) of the monitored area; a nodes database (32) storing information on nodes (18); and a pathogen database (34) storing infectious transmission information. The non-transitory storage medium includes instructions readableand executable by an 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 wherein an infected node has a non-zero infection likelihood; computing an infectious zone (36) on the map along the pathway; for each node contacting the infectious zone, adjusting theinfection likelihood of the contacting node and designating the contacting node as an infected node if the updated infection likelihood of the contacting node satisfies an infected criterion.

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.

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 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 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.

The invention belongs to the technical field of network security control, and particularly relates to a malicious software propagation control method and device based on ternary association graph detection. The method comprises the following steps: acquiring data source information of malicious software, a user node and a propagation path, and preprocessing the data source information; establishing a ternary association graph; based on a weight matrix of edges in the ternary association graph, calculating scores of malicious software, propagation paths and user nodes according to a cross iterative scoring mechanism; performing unified quantification by using multiple linear regression scores, and calculating the influence of the user nodes; establishing an infectious disease SIHR propagation model based on the score value and a hotspot infection driving mechanism, and calculating a propagation state and a propagation trend of a driving factor pair; and according to a result of the propagation model, cutting off a malicious software propagation path at the next moment, and isolating user nodes. According to the method disclosed in the invention, the malicious software is broadcasted, the propagation path of the malicious software is effectively cut off, and infected users are isolated, so that the safety of the users is improved.