2020
DOI: 10.1007/s11071-020-05770-9
|View full text |Cite
|
Sign up to set email alerts
|

Transmission dynamics of COVID-19 in Wuhan, China: effects of lockdown and medical resources

Abstract: Due to the strong infectivity of COVID-19, it spread all over the world in about three months and thus has been studied from different aspects including its source of infection, pathological characteristics, diagnostic technology and treatment. Yet, the influences of control strategies on the transmission dynamics of COVID-19 are far from being well understood. In order to reveal the mechanisms of disease spread, we present dynamical models to show the propagation of COVID-19 in Wuhan. Based on mathematical an… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

6
118
0

Year Published

2020
2020
2022
2022

Publication Types

Select...
9

Relationship

0
9

Authors

Journals

citations
Cited by 138 publications
(124 citation statements)
references
References 26 publications
6
118
0
Order By: Relevance
“…Some predictive models were developed to serve as early warning tools to estimate the final infection size of the outbreak and spreading speed, and assess the effectiveness of the NPI control measures. Especially, most of the above models are based on SEIR-type (Susceptible–Exposed–Infectious–Removed) compartmental models [1] , [3] , [4] , [6] , [18] , [22] , [25] , [26] , [27] , [28] , and few takes into account the spatial spread of the COVID-19.…”
Section: Introductionmentioning
confidence: 99%
“…Some predictive models were developed to serve as early warning tools to estimate the final infection size of the outbreak and spreading speed, and assess the effectiveness of the NPI control measures. Especially, most of the above models are based on SEIR-type (Susceptible–Exposed–Infectious–Removed) compartmental models [1] , [3] , [4] , [6] , [18] , [22] , [25] , [26] , [27] , [28] , and few takes into account the spatial spread of the COVID-19.…”
Section: Introductionmentioning
confidence: 99%
“…3 has eight free parameters; some of them can be set a-priori based on epidemiological, clinical or policy-related evidence. The incubation time σ −1 has been found by different clinical groups to be around 5 days [2,31], thereby yielding σ 1/5, a value also used in similar modeling studies [34,35]. The rate of testing c t is country-specific; in Italy, the "Istituto Superiore di Sanità" (ISS) has reported an average time from symptoms onset to diagnosis (via pharyngeal swab) of 5 days, within the time range considered in this work.…”
Section: Proposed Compartment Modelmentioning
confidence: 64%
“…The emergency response of prevention and control in central China started earlier than that in other areas. However, it still failed to control the spread of the epidemic rapidly, indicating that the central area of the epidemic led by Hubei province should have begun prevention and control measures earlier (Sun et al, 2020). Although the number of confirmed cases was high in the eastern coastal areas, such as Zhejiang, Guangdong, and Fujian, their high response efficiency (e.g., fire-level emergency responses even earlier than the Hubei province) still achieved remarkable results in the second phase.…”
Section: Time Lag Of Emergency Responsementioning
confidence: 99%