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• W3048292030 abstract "Abstract In the present work, we outline a set of coarse-grain analytical models that can be used by decision-makers to bound the potential impact of the COVID-19 pandemic on specific communities with known or estimated social contact structure and to assess the effects of various non-pharmaceutical interventions on slowing the progression of disease spread. This work provides a multi-dimensional view of the problem by examining steady-state and dynamic disease spread using a network-based approach. In addition, Bayesian-based estimation procedures are used to provide a realistic assessment of the severity of outbreaks based on estimates of the average and instantaneous basic reproduction number R 0 ." @default.
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• W3048292030 date "2020-08-04" @default.
• W3048292030 modified "2023-09-24" @default.
• W3048292030 title "Analytical Model of COVID-19 for lifting non-pharmaceutical interventions" @default.
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• W3048292030 doi "https://doi.org/10.1101/2020.07.31.20166025" @default.
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