Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China

The coronavirus disease 2019 (COVID-2019), a newly emerging disease in China, posed a public health emergency of China. Wuhan is the most serious affected city. Some measures have been taken to control the transmission of COVID-19. From Jan. 23rd, 2020, gradually increasing medical resources (such a...

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Main Authors: Liping Wang, Jing Wang, Hongyong Zhao, Yangyang Shi, Kai Wang, Peng Wu, Lei Shi
Format: Article
Language:English
Published: AIMS Press 2020-03-01
Series:Mathematical Biosciences and Engineering
Subjects:
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2020165?viewType=HTML
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spelling doaj-08f47a6a481b4b1f97f71acf87ca96982021-07-23T01:50:31ZengAIMS PressMathematical Biosciences and Engineering1551-00182020-03-011742936294910.3934/mbe.2020165Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, ChinaLiping Wang0Jing Wang1Hongyong Zhao2Yangyang Shi 3Kai Wang4Peng Wu 5Lei Shi6 Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, China Department of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing, 210016, ChinaThe coronavirus disease 2019 (COVID-2019), a newly emerging disease in China, posed a public health emergency of China. Wuhan is the most serious affected city. Some measures have been taken to control the transmission of COVID-19. From Jan. 23rd, 2020, gradually increasing medical resources (such as health workforce, protective clothing, essential medicines) were sent to Wuhan from other provinces, and the government has established the hospitals to quarantine and treat infected individuals. Under the condition of sufficient medical resources in Wuhan, late-stage of epidemic showed a downward trend. Assessing the effectiveness of medical resources is of great significance for the future response to similar disease. Based on the transmission mechanisms of COVID-19 and epidemic characteristics of Wuhan, by using time-dependent rates for some parameters, we establish a dynamical model to reflect the changes of medical resources on transmission of COVID-19 in Wuhan. Our model is applied to simulate the reported data on cumulative and new confirmed cases in Wuhan from Jan. 23rd to Mar. 6th, 2020. We estimate the basic reproduction number R0 = 2.71, which determines whether the disease will eventually die out or not under the absence of effective control measures. Moreover, we calculate the effective daily reproduction ratio Re(t), which is used to measure the 'daily reproduction number'. We obtain that Re(t) drops less than 1 since Feb. 8th. Our results show that delayed opening the 'Fire God Hill' hospital will greatly increase the magnitude of the outbreak. This shows that the government's timely establishment of hospitals and effective quarantine via quick detection prevent a larger outbreak.https://www.aimspress.com/article/doi/10.3934/mbe.2020165?viewType=HTMLnovel coronavirusmedical resourcesmathematical modellingreproduction number
collection DOAJ
language English
format Article
sources DOAJ
author Liping Wang
Jing Wang
Hongyong Zhao
Yangyang Shi
Kai Wang
Peng Wu
Lei Shi
spellingShingle Liping Wang
Jing Wang
Hongyong Zhao
Yangyang Shi
Kai Wang
Peng Wu
Lei Shi
Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China
Mathematical Biosciences and Engineering
novel coronavirus
medical resources
mathematical modelling
reproduction number
author_facet Liping Wang
Jing Wang
Hongyong Zhao
Yangyang Shi
Kai Wang
Peng Wu
Lei Shi
author_sort Liping Wang
title Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China
title_short Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China
title_full Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China
title_fullStr Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China
title_full_unstemmed Modelling and assessing the effects of medical resources on transmission of novel coronavirus (COVID-19) in Wuhan, China
title_sort modelling and assessing the effects of medical resources on transmission of novel coronavirus (covid-19) in wuhan, china
publisher AIMS Press
series Mathematical Biosciences and Engineering
issn 1551-0018
publishDate 2020-03-01
description The coronavirus disease 2019 (COVID-2019), a newly emerging disease in China, posed a public health emergency of China. Wuhan is the most serious affected city. Some measures have been taken to control the transmission of COVID-19. From Jan. 23rd, 2020, gradually increasing medical resources (such as health workforce, protective clothing, essential medicines) were sent to Wuhan from other provinces, and the government has established the hospitals to quarantine and treat infected individuals. Under the condition of sufficient medical resources in Wuhan, late-stage of epidemic showed a downward trend. Assessing the effectiveness of medical resources is of great significance for the future response to similar disease. Based on the transmission mechanisms of COVID-19 and epidemic characteristics of Wuhan, by using time-dependent rates for some parameters, we establish a dynamical model to reflect the changes of medical resources on transmission of COVID-19 in Wuhan. Our model is applied to simulate the reported data on cumulative and new confirmed cases in Wuhan from Jan. 23rd to Mar. 6th, 2020. We estimate the basic reproduction number R0 = 2.71, which determines whether the disease will eventually die out or not under the absence of effective control measures. Moreover, we calculate the effective daily reproduction ratio Re(t), which is used to measure the 'daily reproduction number'. We obtain that Re(t) drops less than 1 since Feb. 8th. Our results show that delayed opening the 'Fire God Hill' hospital will greatly increase the magnitude of the outbreak. This shows that the government's timely establishment of hospitals and effective quarantine via quick detection prevent a larger outbreak.
topic novel coronavirus
medical resources
mathematical modelling
reproduction number
url https://www.aimspress.com/article/doi/10.3934/mbe.2020165?viewType=HTML
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