2021
DOI: 10.3390/ijerph18136858
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Modelling Analysis of COVID-19 Transmission and the State of Emergency in Japan

Abstract: To assess the effectiveness of the containment strategies proposed in Japan, an SEIAQR (susceptible-exposed-infected-asymptomatic-quarantined-recovered) model was established to simulate the transmission of COVID-19. We divided the spread of COVID-19 in Japan into different stages based on policies. The effective reproduction number Re and the transmission parameters were determined to evaluate the measures conducted by the Japanese Government during these periods. On 7 April 2020, the Japanese authority decla… Show more

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Cited by 8 publications
(9 citation statements)
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“…The declaration of the state of emergency might be effective in reducing the reproduction number by requesting individuals to refrain from going out. 23 …”
Section: Methodsmentioning
confidence: 99%
“…The declaration of the state of emergency might be effective in reducing the reproduction number by requesting individuals to refrain from going out. 23 …”
Section: Methodsmentioning
confidence: 99%
“…To date, many studies have been conducted on COVID-19 transmission to effectively contain its spread. Representative infection transmission models, such as the susceptible–infected–removed model [ 3 , 4 , 5 , 6 , 7 ] and data-driven time series [ 8 , 9 ], are macroscopic models. These models have the advantage of including macro-parameters and data.…”
Section: Introductionmentioning
confidence: 99%
“…These studies include examining the disease’s clinical features [19] , and estimating crucial epidemiological parameters, such as reproduction numbers, exponential growth, serial intervals and the infection fatality rate [2] , [3] , [7] , [20] , [21] , [22] , [23] , [24] , [25] , [26] , [27] . Moreover, studies have also assessed reinfection and reactivation [28] , [29] , [30] , [31] , the impact of declaring the disease a major public health crisis of international importance [4] , [32] , [33] , the influence of public health awareness on COVID-19 dynamics [34] , optimal control and cost-effectiveness [35] , [36] and the effects of pharmaceutical and NPI measures [6] , [37] . Some studies also adopted fractional calculus to analyze the COVID-19 dynamics to find the optimal control strategies [38] , [39] , [40] .…”
Section: Introductionmentioning
confidence: 99%