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Matches in SemOpenAlex for { <https://semopenalex.org/work/W2017173028> ?p ?o ?g. }

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• W2017173028 abstract "<h3>ABSTRACT</h3> Most models of the COVID-19 pandemic in the United States do not consider geographic variation and spatial interaction. In this research, we developed a travel-network-based susceptible-exposed-infectious-removed (SEIR) mathematical compartmental model system that characterizes infections by state and incorporates inflows and outflows of interstate travelers. Modeling reveals that curbing interstate travel when the disease is already widespread will make little difference. Meanwhile, increased testing capacity (facilitating early identification of infected people and quick isolation) and strict social-distancing and self-quarantine rules are most effective in abating the outbreak. The modeling has also produced state-specific information. For example, for New York and Michigan, isolation of persons exposed to the virus needs to be imposed within 2 days to prevent a broad outbreak, whereas for other states this period can be 3.6 days. This model could be used to determine resources needed before safely lifting state policies on social distancing." @default.
• W2017173028 created "2016-06-24" @default.
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• W2017173028 date "1997-04-01" @default.
• W2017173028 modified "2023-09-23" @default.
• W2017173028 title "Socioeconomic deprivation, ethnicity, and stroke mortality in Greater London and south east England." @default.
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• W2017173028 doi "https://doi.org/10.1136/jech.51.2.127" @default.
• W2017173028 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/1060432" @default.
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