A method for allocating medical resources during an epidemic
A technology of medical resources and allocation methods, applied in the field of medical resource allocation during the epidemic period, can solve the problems of inability to obtain time and space location information, inability to use footprint chains, etc., to reduce the risk of infection, eliminate blind panic, and flexibly configure the effect.
Active Publication Date: 2022-01-25
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
View PDF13 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
However, technologies such as itinerary cards and health codes can only locate city-level administrative districts, but cannot obtain more detailed spatio-temporal location information, so this data cannot be used to build an accurate footprint chain
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0049] The technical solutions of the present invention will be described in detail below through specific embodiments.
[0050] A method for allocating medical resources during an epidemic. When a small-scale epidemic breaks out, the process of quickly deploying medical resources is as follows: figure 1 Shown: After a positive patient is found, the patient’s oral footprint chain with time dimension (hereinafter referred to as: oral footprint chain) and the footprint chain with time dimension calculated by using mobile phone signaling data combined with communication big data are obtained by using traditional investigation methods (hereinafter referred to as: mobile phone signaling footprint chain) information, cross-validation and revision, to obtain an approximate real patient footprint chain. Afterwards, the high-risk area search model that takes into account the road network structure proposed by this method is used to quickly lock high-risk areas and extract closed units ...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a method for distributing medical resources during an epidemic, which includes the following steps: step 1, obtaining the real footprint chain of positive patients with the help of communication big data technology; step 2, combining road network structure, virus toxicity and people around the patient footprint chain flow rate to determine more accurate high-risk areas; Step 3, update the high-risk areas daily, and evaluate the amount of medical resources required for each closed unit in the high-risk areas on that day; Step 4, calculate the delivery time of medical resources based on the network map service , and the optimal distribution of medical resources is carried out according to the input amount of medical resources required by each closed unit on the day obtained. The present invention can more accurately construct the real footprint chain of the positive patient, more accurately determine the high-risk area based on the actual road network information, and evaluate the medical resource ratio required by each closed unit in the high-risk area in real time and accurately. Combined with real-time traffic conditions, the optimal single-center or multi-center medical resource distribution plan is formulated.
Description
technical field [0001] The invention belongs to the field of information technology, and in particular provides a method for allocating medical resources during an epidemic by combining the advantages of communication big data technology and geographic information technology. Background technique [0002] In December 2019, the novel coronavirus pneumonia (COVID-19, hereinafter referred to as "COVID-19") raided human society, posing a huge threat to human life, and at the same time had a serious impact on production, life and social operations. As of January 2021, the new crown epidemic has spread to 208 countries, with a cumulative number of infections exceeding 95 million and a cumulative death toll of 2,031,717. Although the governments of various countries have invested huge manpower and material resources in the fight against the epidemic. However, the number of infections and deaths in the current new crown epidemic is still increasing rapidly, and the number of new in...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Patents(China)
IPC IPC(8): G16H40/20G16H50/80
CPCG16H40/20G16H50/80
Inventor 杨永可聂海涛陈雨莹佘文庆梁浪新罗霁鑫
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY