Literature DB >> 33542294

The effect of multiple interventions to balance healthcare demand for controlling COVID-19 outbreaks: a modelling study.

Po Yang1, Geng Yang2, Jun Qi3, Bin Sheng4, Yun Yang5, Shuhao Zhang6, Gaoshan Bi6, Xuxin Mao7.   

Abstract

For controlling recent COVID-19 outbreaks around the world, many countries have implemented suppression and mitigation interventions. This work aims to conduct a feasibility study for accessing the effect of multiple interventions to control the COVID-19 breakouts in the UK and other European countries, accounting for balance of healthcare demand. The model is to infer the impact of mitigation, suppression and multiple rolling interventions for controlling COVID-19 outbreaks in the UK, with two features considered: direct link between exposed and recovered population, and practical healthcare demand by separation of infections. We combined the calibrated model with COVID-19 data in London and non-London regions in the UK during February and April 2020. Our finding suggests that rolling intervention is an optimal strategy to effectively control COVID-19 outbreaks in the UK for balancing healthcare demand and morality ratio. It is better to implement regional based interventions with varied intensities and maintenance periods. We suggest an intervention strategy named as "Besieged and rolling interventions" to the UK that take a consistent suppression in London for 100 days and 3 weeks rolling intervention in other regions. This strategy would reduce the overall infections and deaths of COVID-19 outbreaks, and balance healthcare demand in the UK.

Entities:  

Mesh:

Year:  2021        PMID: 33542294      PMCID: PMC7862317          DOI: 10.1038/s41598-021-82170-y

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


  16 in total

1.  Effects of non-pharmaceutical interventions on COVID-19 cases, deaths, and demand for hospital services in the UK: a modelling study.

Authors:  Nicholas G Davies; Adam J Kucharski; Rosalind M Eggo; Amy Gimma; W John Edmunds
Journal:  Lancet Public Health       Date:  2020-06-02

2.  How will country-based mitigation measures influence the course of the COVID-19 epidemic?

Authors:  Roy M Anderson; Hans Heesterbeek; Don Klinkenberg; T Déirdre Hollingsworth
Journal:  Lancet       Date:  2020-03-09       Impact factor: 79.321

3.  Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study.

Authors:  Joseph T Wu; Kathy Leung; Gabriel M Leung
Journal:  Lancet       Date:  2020-01-31       Impact factor: 79.321

4.  Early estimation of the case fatality rate of COVID-19 in mainland China: a data-driven analysis.

Authors:  Shu Yang; Peihua Cao; Peipei Du; Ziting Wu; Zian Zhuang; Lin Yang; Xuan Yu; Qi Zhou; Xixi Feng; Xiaohui Wang; Weiguo Li; Enmei Liu; Ju Chen; Yaolong Chen; Daihai He
Journal:  Ann Transl Med       Date:  2020-02

5.  Investigation of three clusters of COVID-19 in Singapore: implications for surveillance and response measures.

Authors:  Rachael Pung; Calvin J Chiew; Barnaby E Young; Sarah Chin; Mark I-C Chen; Hannah E Clapham; Alex R Cook; Sebastian Maurer-Stroh; Matthias P H S Toh; Cuiqin Poh; Mabel Low; Joshua Lum; Valerie T J Koh; Tze M Mak; Lin Cui; Raymond V T P Lin; Derrick Heng; Yee-Sin Leo; David C Lye; Vernon J M Lee
Journal:  Lancet       Date:  2020-03-17       Impact factor: 79.321

6.  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

7.  An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.

Authors:  Huaiyu Tian; Yonghong Liu; Yidan Li; Chieh-Hsi Wu; Bin Chen; Moritz U G Kraemer; Bingying Li; Jun Cai; Bo Xu; Qiqi Yang; Ben Wang; Peng Yang; Yujun Cui; Yimeng Song; Pai Zheng; Quanyi Wang; Ottar N Bjornstad; Ruifu Yang; Bryan T Grenfell; Oliver G Pybus; Christopher Dye
Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

8.  Early dynamics of transmission and control of COVID-19: a mathematical modelling study.

Authors:  Adam J Kucharski; Timothy W Russell; Charlie Diamond; Yang Liu; John Edmunds; Sebastian Funk; Rosalind M Eggo
Journal:  Lancet Infect Dis       Date:  2020-03-11       Impact factor: 25.071

9.  Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts.

Authors:  Joel Hellewell; Sam Abbott; Amy Gimma; Nikos I Bosse; Christopher I Jarvis; Timothy W Russell; James D Munday; Adam J Kucharski; W John Edmunds; Sebastian Funk; Rosalind M Eggo
Journal:  Lancet Glob Health       Date:  2020-02-28       Impact factor: 26.763

10.  Incubation period of 2019 novel coronavirus (2019-nCoV) infections among travellers from Wuhan, China, 20-28 January 2020.

Authors:  Jantien A Backer; Don Klinkenberg; Jacco Wallinga
Journal:  Euro Surveill       Date:  2020-02
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  2 in total

1.  Mathematical analysis of a COVID-19 model with double dose vaccination in Bangladesh.

Authors:  Anip Kumar Paul; Md Abdul Kuddus
Journal:  Results Phys       Date:  2022-03-02       Impact factor: 4.476

2.  Testing and isolation to prevent overloaded healthcare facilities and reduce death rates in the SARS-CoV-2 pandemic in Italy.

Authors:  Arnab Bandyopadhyay; Marta Schips; Tanmay Mitra; Sahamoddin Khailaie; Sebastian C Binder; Michael Meyer-Hermann
Journal:  Commun Med (Lond)       Date:  2022-06-27
  2 in total

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