1747 results about "Disease control" patented technology

This invention is for a reader/writer device (terminal) for accessing item-related data in rewritable tags of the "RF-ID" type wherein each tag includes non-volatile memory. In a farm animal application each animal is implanted with an identified tag. From time to time, the terminal can be given a selected security level by reading password-like and individual identity data from a special tag held by an individual. As a result the individual can gain "read" and/or "write" to selected fields in the data record held within the tag. Further information may be added from time to time by empowered individuals. Schemes are enabled for the enhanced management of animals having such tags include accurate descriptors, proving ownership, showing compliance with disease control programmes and withholding periods after possible treatments, traceability of meat products from the shop to the farm, breeding schemes and performance recording. The use of security levels and the traceability of entries adds to the reliability of the stored information.

A system is provided for collecting and storing immunization and disease data. Immunization mobile stations (IMSs) are provided with a software application to facilitate the collection of patient information such as biographical data, previous vaccination data, medical history, medications in use, occupation, administration of recent vaccination, disease symptoms and the like. IMSs synchronize the patient information with information stored in a database maintained at a data center that is accessible to different groups of personnel based on different privileges defined at the data center and security measures. Patients can access electronic patient records created by the IMSs, and stored at the IMSs and/or a local server and eventually at the data center, via telephone or computer (e.g., via web browser). IMSs can capture and store images of vaccination and disease symptom sites on patients. The database allows for vaccination and disease tracking and disease control. The IMSs can be provided with a vaccination recommendation engine to determine if a patient is eligible for a vaccination and electronic patient consent forms, and are programmable to track adverse events and create follow-up reports after a vaccine is administered.

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 relates to the public health technology field and discloses the prevention and control method of disease control and travel information interconnection. The method comprises the following steps of retrieving the historical data of local infected cases and the composition of environmental factors affecting the survival of a disease infection source, and fitting a grid risk map; determining a newly infected person as an infection source, and obtaining the travel information of the newly infected person in the period of time before attack; classifying and screening the travel information, excavating possible resident points, combining with spatial road network data and carrying out semantization on the possible resident points; comparing the possible resident points in step 3 with the risk map generated in step 1 to acquire a main suspicious point which is taken as a high probability occurrence point; adopting an association rule excavation algorithm or a string pattern excavation algorithm to excavate a motion pattern so as to predict a possible propagation trend; and according to the above result, intervening a high risk area. The trend of an infectious disease is predicted and prevention and control cost is reduced.

The invention belongs to fruit tree cultivation, in particular to a method for the non-polluted cultivation of amur ampelopsis stems. The method concretely comprises the steps of field selection, planting system selection, garden building, soil management, fertilizer application, irrigation, pruning, disease control, harvest, winter protection, winter protection removal and other technical measures, wherein a field far away from pollution sources is selected; a planting system of single-arm trellis is selected; the soil management is to select sandy loam or sandy black earth; the fertilizers application is to mainly apply organic fertilizers; generally, the irrigation is unnecessary when the natural rain satisfies demands for growth; the pruning is performed in summer and winter with proper inflorescence scatter; the disease control focuses on prevention; the harvest is carried out late duly; and the winter protection and the winter protection removal are to cover 10 to 15 centimeters of soil in grape valleys after grape leaves fall off in the same year of field planting and remove the soil after the tomb-sweeping day in the following year. Through the above measures, the method ensures that the amur ampelopsis stems pass winter safely and give considerable yield.

The invention provides a transplanting method for a big tree. The method comprises three main steps: preparation before transplantation; transplantation; and management after transplantation. The concrete steps of the method comprise root cutting and shrinking to a root ball, nutrient and water management before transplantation, pruning before transplantation, treatment of a transplanting hole and backfilling soil, tree lifting, transporting, field planting, supporting, nutrient and water management after transplantation, pruning after transplantation, soil loosening, weeding and pest and disease control. The transplanting method for the big tree provided by the invention enables the survival rate of the transplanted big tree to increase to more than 95%, which is significantly higher than the survival rate in the prior art.

The invention discloses a fluorescence immunochromatography device for detecting a novel coronavirus COVID-19 and a using method of the fluorescence immunochromatography device. The fluorescence immunochromatography device disclosed by the invention is high in sensitivity and strong in specificity, the accuracy is high, the detection sensitivity can reach 10pg/ml, the detection speed is high, theoperation is simple, the device is portable, the requirement for personnel is low, the operation of professionals is not needed, the detection cost is low, the device can be applied to preliminary screening of various places such as hospitals, airports, customs and disease control centers, the detection time (10-15 min) is short, a simpler, more convenient and faster field detection means is provided for suspected patient investigation and asymptomatic infected person screening, and therefore epidemic spreading is prevented as soon as possible.

The invention discloses a stropharia rugoso-annulata cultivation method. The method comprises the following steps of season arrangement, cultivation material selection, site selection, material collection, cultivation material treatment, sowing and mycelium cultivation, spawn running period management, earthing method and management after earthing, fruiting period management, harvesting, pest and disease control and processing. The method has the advantages that the stropharia rugoso-annulata cultivation method fully utilizes the straw resource, the specific steps and conditions of cultivation are particularly limited, and the yield of stropharia rugoso-annulata can be effectively increased; meanwhile, by adjusting the cultivation proportion of different kinds of straw, growth and development of the stropharia rugoso-annulata can be effectively controlled, the stropharia rugoso-annulata is high in yield, excellent in quality and capable of adapting to the market requirement.

The invention discloses a laying hen breeding method, which comprises the following steps of (1) chicken culture: lively and healthy chickens with regular size are selected, and the chickens are cultured at 36 to 37 DEG C; (2) growing period breeding: after one month, the chickens are moved out from a chicken culture room, and are bred at 21 to 24 DEG C, the breeding density is 20 to 25 chickens per square meter, the relative humidity is 55 to 60 percent, the illumination time is 8 to 10h/d, and the illumination intensity is 1 to 1.3w/m<2>; (3) egg laying period culture: the breeding density is 15 to 20 chickens per square meter, the temperature is 15 to 23 DEG C, the humidity is 60 to 70 percent, starting from 20 week old, the illumination is increased by 0.5h per week until the illumination time is 14 to 16h/d, in addition, the illumination intensity is increased to 4 to 5w/m<2>, and in four weeks before the hen elimination, the illumination time is gradually prolonged to 17h until the elimination, eggs are picked in time for creating egg-free environment; (4) hygiene and disease control: ventilation and air exchange are carried out in a henhouse in time, and air in the henhouse keeps fresh. The invention provides the healthy and scientific laying hen breeding method capable of improving the laying hen rate.

The invention provides a seedling raising and planting method of tree honeysuckle. The seedling raising method comprises land leveling and ridge furrowing, pest control and disinfection, selection and handling of cuttings, cuttage, transplanting, shed erecting, and rooting reagent spraying; and the planting method comprises selection of a planting base, arrangement of the planting base, planting time, planting method, field management, tree shape cultivation, pest and disease control, reasonable use of pesticides, harvesting, processing and drying. Seedlings which do not carry the virus and have strong disease resistance are rapidly propagated at high temperature and humidity, and are cultivated into semiligneous tree honeysuckle by a field planting method such as scientific pruning and fertilization. Through the method, the honeysuckle blows for 4-5 times, the bud opening time is long, and the yield is high; the yield of the dried product is 400-500 g per tree on average, the survival rate of seedlings is 98%, and the tree age is 30-50 years; and the economic benefit is about 15,000 yuan/mu, and ideal seedlings of returning farmland to forest have well-developed root systems.

The invention discloses a mosquito-borne infectious disease epidemic situation prediction method and system based on a gradient boosting tree. The mosquito-borne infectious disease epidemic situationprediction method based on a gradient boosting tree includes the steps: widely collecting various factor data influencing the mosquito-borne infectious disease; cleaning the data influencing the mosquito-borne infectious disease so as to perform importance ordering on the factors influencing the mosquito-borne infectious disease, on the basis of the gradient boosting tree; according to the selected important factors influencing the mosquito-borne infectious disease, establishing a mosquito-borne infectious disease epidemic situation prediction model based on Poisson regression; by means of theselected factor and the correlation coefficients of the mosquito-borne infectious disease, initializing the prediction model, and then determining the mosquito-borne infectious disease prediction model parameters by means of S fold cross-validation; and by means of a epidemic situation hot spot graph based on geographical information and an epidemic situation outbreak graph based on a time axis,visually displaying the model prediction result. The mosquito-borne infectious disease epidemic situation prediction method and system based on a gradient boosting tree apply the gradient boosting tree and other machine learning methods to the field of mosquito-borne infectious disease epidemic situation prediction, can improve the mosquito-borne infectious disease epidemic situation prediction accuracy, can assist disease control staff to predict the mosquito-borne infectious disease epidemic situation in advance, and can timely take the corresponding measures to control large scale outbreakof the infectious disease.