Literature DB >> 33608519

Harnessing peak transmission around symptom onset for non-pharmaceutical intervention and containment of the COVID-19 pandemic.

Liang Tian1,2, Xuefei Li1,3, Fei Qi1,3, Qian-Yuan Tang1,4, Viola Tang1,5, Jiang Liu1, Zhiyuan Li1,6, Xingye Cheng1,2, Xuanxuan Li1,7,8, Yingchen Shi1,7,9, Haiguang Liu1,9,8, Lei-Han Tang10,11,12.   

Abstract

Within a short period of time, COVID-19 grew into a world-wide pandemic. Transmission by pre-symptomatic and asymptomatic viral carriers rendered intervention and containment of the disease extremely challenging. Based on reported infection case studies, we construct an epidemiological model that focuses on transmission around the symptom onset. The model is calibrated against incubation period and pairwise transmission statistics during the initial outbreaks of the pandemic outside Wuhan with minimal non-pharmaceutical interventions. Mathematical treatment of the model yields explicit expressions for the size of latent and pre-symptomatic subpopulations during the exponential growth phase, with the local epidemic growth rate as input. We then explore reduction of the basic reproduction number R0 through specific transmission control measures such as contact tracing, testing, social distancing, wearing masks and sheltering in place. When these measures are implemented in combination, their effects on R0 multiply. We also compare our model behaviour to the first wave of the COVID-19 spreading in various affected regions and highlight generic and less generic features of the pandemic development.

Entities:  

Year:  2021        PMID: 33608519     DOI: 10.1038/s41467-021-21385-z

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  11 in total

1.  Measuring Basic Reproduction Number to Assess Effects of Nonpharmaceutical Interventions on Nosocomial SARS-CoV-2 Transmission.

Authors:  George Shirreff; Jean-Ralph Zahar; Simon Cauchemez; Laura Temime; Lulla Opatowski
Journal:  Emerg Infect Dis       Date:  2022-05-17       Impact factor: 16.126

2.  Mutation induced infection waves in diseases like COVID-19.

Authors:  Fabian Jan Schwarzendahl; Jens Grauer; Benno Liebchen; Hartmut Löwen
Journal:  Sci Rep       Date:  2022-06-10       Impact factor: 4.996

3.  An Agent-Based Digital Twin for Exploring Localized Non-pharmaceutical Interventions to Control COVID-19 Pandemic.

Authors:  Souvik Barat; Ritu Parchure; Shrinivas Darak; Vinay Kulkarni; Aditya Paranjape; Monika Gajrani; Abhishek Yadav; Vinay Kulkarni
Journal:  Trans Indian Natl Acad Eng       Date:  2021-01-29

4.  Face masks effectively limit the probability of SARS-CoV-2 transmission.

Authors:  Yafang Cheng; Nan Ma; Christian Witt; Steffen Rapp; Philipp S Wild; Meinrat O Andreae; Ulrich Pöschl; Hang Su
Journal:  Science       Date:  2021-05-20       Impact factor: 63.714

5.  Facemask Usage Among Pedestrians in Most Crowded Urban Districts of Kabul, Afghanistan, During the Third COVID-19 Wave: An Observational Study.

Authors:  Arash Nemat; Abdullah Asady; Ahmad Wali Ataye; Tamim Jan Danishmand; Mohammad Yasir Essar; Nahid Raufi
Journal:  Am J Trop Med Hyg       Date:  2022-04-11       Impact factor: 3.707

6.  COVID-19 Propagation Model Based on Economic Development and Interventions.

Authors:  Fuzhong Nian; Yayong Shi; Jun Cao
Journal:  Wirel Pers Commun       Date:  2021-08-18       Impact factor: 1.671

7.  Work ethics, stay-at-home measures and COVID-19 diffusion : How is the pandemic affected by the way people perceive work?

Authors:  Vincenzo Alfano
Journal:  Eur J Health Econ       Date:  2021-11-06

8.  Estimating the Impact of Statewide Policies to Reduce Spread of Severe Acute Respiratory Syndrome Coronavirus 2 in Real Time, Colorado, USA.

Authors:  Andrea G Buchwald; Jude Bayham; Jimi Adams; David Bortz; Kathryn Colborn; Olivia Zarella; Meghan Buran; Jonathan Samet; Debashis Ghosh; Rachel Herlihy; Elizabeth J Carlton
Journal:  Emerg Infect Dis       Date:  2021-06-30       Impact factor: 6.883

9.  A year of living distantly: global trends in the use of stay-at-home orders over the first 12 months of the COVID-19 pandemic.

Authors:  Toby Phillips; Yuxi Zhang; Anna Petherick
Journal:  Interface Focus       Date:  2021-10-12       Impact factor: 3.906

10.  Can Hematological Ratios Predict Outcome of COVID-19 Patients? A Multicentric Study.

Authors:  Mai M Aly; Taghreed S Meshref; Marwa A Abdelhameid; Shimaa A Ahmed; Asmaa S Shaltout; Alaa Eldin Abdel-Moniem; Dina A Hamad
Journal:  J Blood Med       Date:  2021-06-29
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