Literature DB >> 34088907

Robust estimation of SARS-CoV-2 epidemic in US counties.

Hanmo Li1, Mengyang Gu2.   

Abstract

The COVID-19 outbreak is asynchronous in US counties. Mitigating the COVID-19 transmission requires not only the state and federal level order of protective measures such as social distancing and testing, but also public awareness of time-dependent risk and reactions at county and community levels. We propose a robust approach to estimate the heterogeneous progression of SARS-CoV-2 at all US counties having no less than 2 COVID-19 associated deaths, and we use the daily probability of contracting (PoC) SARS-CoV-2 for a susceptible individual to quantify the risk of SARS-CoV-2 transmission in a community. We found that shortening by [Formula: see text] of the infectious period of SARS-CoV-2 can reduce around [Formula: see text] (or 78 K, [Formula: see text] CI: [66 K , 89 K ]) of the COVID-19 associated deaths in the US as of 20 September 2020. Our findings also indicate that reducing infection and deaths by a shortened infectious period is more pronounced for areas with the effective reproduction number close to 1, suggesting that testing should be used along with other mitigation measures, such as social distancing and facial mask-wearing, to reduce the transmission rate. Our deliverable includes a dynamic county-level map for local officials to determine optimal policy responses and for the public to better understand the risk of contracting SARS-CoV-2 on each day.

Entities:  

Year:  2021        PMID: 34088907     DOI: 10.1038/s41598-021-90195-6

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  14 in total

1.  A stochastic agent-based model of the SARS-CoV-2 epidemic in France.

Authors:  Nicolas Hoertel; Martin Blachier; Carlos Blanco; Mark Olfson; Marc Massetti; Marina Sánchez Rico; Frédéric Limosin; Henri Leleu
Journal:  Nat Med       Date:  2020-07-14       Impact factor: 53.440

2.  Population flow drives spatio-temporal distribution of COVID-19 in China.

Authors:  Jayson S Jia; Xin Lu; Yun Yuan; Ge Xu; Jianmin Jia; Nicholas A Christakis
Journal:  Nature       Date:  2020-04-29       Impact factor: 49.962

3.  Wrong but Useful - What Covid-19 Epidemiologic Models Can and Cannot Tell Us.

Authors:  Inga Holmdahl; Caroline Buckee
Journal:  N Engl J Med       Date:  2020-05-15       Impact factor: 91.245

4.  Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe.

Authors:  Seth Flaxman; Swapnil Mishra; Axel Gandy; H Juliette T Unwin; Thomas A Mellan; Helen Coupland; Charles Whittaker; Harrison Zhu; Tresnia Berah; Jeffrey W Eaton; Mélodie Monod; Azra C Ghani; Christl A Donnelly; Steven Riley; Michaela A C Vollmer; Neil M Ferguson; Lucy C Okell; Samir Bhatt
Journal:  Nature       Date:  2020-06-08       Impact factor: 49.962

5.  Real-time, interactive website for US-county-level COVID-19 event risk assessment.

Authors:  Aroon Chande; Seolha Lee; Mallory Harris; Quan Nguyen; Stephen J Beckett; Troy Hilley; Clio Andris; Joshua S Weitz
Journal:  Nat Hum Behav       Date:  2020-11-09

6.  Using a real-world network to model localized COVID-19 control strategies.

Authors:  Josh A Firth; Joel Hellewell; Petra Klepac; Stephen Kissler; Adam J Kucharski; Lewis G Spurgin
Journal:  Nat Med       Date:  2020-08-07       Impact factor: 87.241

7.  Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study.

Authors:  Hamada S Badr; Hongru Du; Maximilian Marshall; Ensheng Dong; Marietta M Squire; Lauren M Gardner
Journal:  Lancet Infect Dis       Date:  2020-07-01       Impact factor: 71.421

8.  Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy.

Authors:  Giulia Giordano; Franco Blanchini; Raffaele Bruno; Patrizio Colaneri; Alessandro Di Filippo; Angela Di Matteo; Marta Colaneri
Journal:  Nat Med       Date:  2020-04-22       Impact factor: 87.241

9.  An interactive web-based dashboard to track COVID-19 in real time.

Authors:  Ensheng Dong; Hongru Du; Lauren Gardner
Journal:  Lancet Infect Dis       Date:  2020-02-19       Impact factor: 25.071

10.  A conceptual model for the coronavirus disease 2019 (COVID-19) outbreak in Wuhan, China with individual reaction and governmental action.

Authors:  Qianying Lin; Shi Zhao; Daozhou Gao; Yijun Lou; Shu Yang; Salihu S Musa; Maggie H Wang; Yongli Cai; Weiming Wang; Lin Yang; Daihai He
Journal:  Int J Infect Dis       Date:  2020-03-04       Impact factor: 3.623

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