Incorporating dynamic flight network in SEIR to model mobility between populations.
Incorporating dynamic flight network in SEIR to model mobility between populations.
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DOI:
10.1007/s41109-021-00378-3
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发表时间:
2021
影响因子:
2.2
通讯作者:
Rabbany R
中科院分区:
文献类型:
--
作者:
Ding X;Huang S;Leung A;Rabbany R
Current efforts of modelling COVID-19 are often based on the standard compartmental models such as SEIR and their variations. As pre-symptomatic and asymptomatic cases can spread the disease between populations through travel, it is important to incorporate mobility between populations into the epidemiological modelling. In this work, we propose to modify the commonly-used SEIR model to account for the dynamic flight network, by estimating the imported cases based on the air traffic volume and the test positive rate. We conduct a case study based on data found in Canada to demonstrate how this modification, called Flight-SEIR, can potentially enable (1) early detection of outbreaks due to imported pre-symptomatic and asymptomatic cases, (2) more accurate estimation of the reproduction number and (3) evaluation of the impact of travel restrictions and the implications of lifting these measures. The proposed Flight-SEIR is essential in navigating through this pandemic and the next ones, given how interconnected our world has become.
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影响因子:
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作者:
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通讯作者:
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影响因子:
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DOI:
10.1016/s1473-3099(20)30243-7
发表时间:
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期刊:
The Lancet. Infectious diseases
影响因子:
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作者:
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通讯作者:
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DOI:
10.14745/ccdr.v46i06a08
发表时间:
2020-06-04
期刊:
Canada communicable disease report = Releve des maladies transmissibles au Canada
影响因子:
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作者:
Ogden, Nick H;Fazil, Aamir;Wu, Jianhong
通讯作者:
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