Cargando…

Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China

Novel coronavirus pneumonia in 17 city (Hubei) provinces was analyzed by using the principle of thermodynamics. A thermodynamic imaging model of infectious diseases was established to calculate the cumulative superimposed density of epidemic in 17 cities (prefectures). An evaluation rule of urban ri...

Descripción completa

Detalles Bibliográficos
Autores principales: Pang, Sulin, Wu, Jiaqi, Lu, Yinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794646/
https://www.ncbi.nlm.nih.gov/pubmed/33456432
http://dx.doi.org/10.1007/s00779-020-01478-0
_version_ 1783634258912346112
author Pang, Sulin
Wu, Jiaqi
Lu, Yinhua
author_facet Pang, Sulin
Wu, Jiaqi
Lu, Yinhua
author_sort Pang, Sulin
collection PubMed
description Novel coronavirus pneumonia in 17 city (Hubei) provinces was analyzed by using the principle of thermodynamics. A thermodynamic imaging model of infectious diseases was established to calculate the cumulative superimposed density of epidemic in 17 cities (prefectures). An evaluation rule of urban risk grade is established and evaluates the COVID-19 risk of 17 cities. The results show that (1) the higher the superimposed density of urban epidemic, the more infected people. (2) In the incubation stage, the thermodynamic imaging shows a point distribution, random walk, and outward diffusion trend. In the initial stage, the color of thermodynamic imaging gradually deepened and the range gradually expanded. During the burst stage, the thermodynamic imaging color deepens rapidly and the scope expands rapidly. In the stable stage, the thermodynamic imaging color becomes darkest and the range is extended to the pole. (3) According to the situation of COVID-19 transmission in Hubei Province, the cumulative superimposed density of Wuhan epidemic is far more than 10,000, ranking as “highest-risk.” Xiaogan and other 10 cities have a cumulative superimposed density within the range of [1000, 10,000], ranking as “high-risk.” Shiyan and other 5 cities have accumulated superimposed density values within the range of [100, 1000], ranking as “medium-risk.” Shennongjia cumulative superimposed density value is less than 100, and the level is “low-risk.”
format Online
Article
Text
id pubmed-7794646
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer London
record_format MEDLINE/PubMed
spelling pubmed-77946462021-01-11 Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China Pang, Sulin Wu, Jiaqi Lu, Yinhua Pers Ubiquitous Comput Original Article Novel coronavirus pneumonia in 17 city (Hubei) provinces was analyzed by using the principle of thermodynamics. A thermodynamic imaging model of infectious diseases was established to calculate the cumulative superimposed density of epidemic in 17 cities (prefectures). An evaluation rule of urban risk grade is established and evaluates the COVID-19 risk of 17 cities. The results show that (1) the higher the superimposed density of urban epidemic, the more infected people. (2) In the incubation stage, the thermodynamic imaging shows a point distribution, random walk, and outward diffusion trend. In the initial stage, the color of thermodynamic imaging gradually deepened and the range gradually expanded. During the burst stage, the thermodynamic imaging color deepens rapidly and the scope expands rapidly. In the stable stage, the thermodynamic imaging color becomes darkest and the range is extended to the pole. (3) According to the situation of COVID-19 transmission in Hubei Province, the cumulative superimposed density of Wuhan epidemic is far more than 10,000, ranking as “highest-risk.” Xiaogan and other 10 cities have a cumulative superimposed density within the range of [1000, 10,000], ranking as “high-risk.” Shiyan and other 5 cities have accumulated superimposed density values within the range of [100, 1000], ranking as “medium-risk.” Shennongjia cumulative superimposed density value is less than 100, and the level is “low-risk.” Springer London 2021-01-09 2023 /pmc/articles/PMC7794646/ /pubmed/33456432 http://dx.doi.org/10.1007/s00779-020-01478-0 Text en © Springer-Verlag London Ltd., part of Springer Nature 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Original Article
Pang, Sulin
Wu, Jiaqi
Lu, Yinhua
Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China
title Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China
title_full Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China
title_fullStr Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China
title_full_unstemmed Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China
title_short Thermodynamic imaging calculation model on COVID-19 transmission and epidemic cities risk level assessment—data from Hubei in China
title_sort thermodynamic imaging calculation model on covid-19 transmission and epidemic cities risk level assessment—data from hubei in china
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7794646/
https://www.ncbi.nlm.nih.gov/pubmed/33456432
http://dx.doi.org/10.1007/s00779-020-01478-0
work_keys_str_mv AT pangsulin thermodynamicimagingcalculationmodeloncovid19transmissionandepidemiccitiesrisklevelassessmentdatafromhubeiinchina
AT wujiaqi thermodynamicimagingcalculationmodeloncovid19transmissionandepidemiccitiesrisklevelassessmentdatafromhubeiinchina
AT luyinhua thermodynamicimagingcalculationmodeloncovid19transmissionandepidemiccitiesrisklevelassessmentdatafromhubeiinchina