Literature DB >> 33479450

Model-based analysis on social acceptability and feasibility of a focused protection strategy against the COVID-19 pandemic.

Takashi Akamatsu1, Takeshi Nagae2, Minoru Osawa3, Koki Satsukawa4, Takara Sakai5, Daijiro Mizutani6.   

Abstract

This paper studies the social acceptability and feasibility of a focused protection strategy against coronavirus disease 2019 (COVID-19). We propose a control scheme to develop herd immunity while satisfying the following two basic requirements for a viable policy option. The first requirement is social acceptability: the overall deaths should be minimized for social acceptance. The second is feasibility: the healthcare system should not be overwhelmed to avoid various adverse effects. To exploit the fact that the disease severity increases considerably with age and comorbidities, we assume that some focused protection measures for those high-risk individuals are implemented and the disease does not spread within the high-risk population. Because the protected population has higher severity ratios than the unprotected population by definition, the protective measure can substantially reduce mortality in the whole population and also avoid the collapse of the healthcare system. Based on a simple susceptible-infected-recovered model, social acceptability and feasibility of the proposed strategy are summarized into two easily computable conditions. The proposed framework can be applied to various populations for studying the viability of herd immunity strategies against COVID-19. For Japan, herd immunity may be developed by the proposed scheme if [Formula: see text] and the severity rates of the disease are 1/10 times smaller than the previously reported value, although as high mortality as seasonal influenza is expected.

Entities:  

Mesh:

Year:  2021        PMID: 33479450      PMCID: PMC7820463          DOI: 10.1038/s41598-021-81630-9

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


  16 in total

1.  Modeling strict age-targeted mitigation strategies for COVID-19.

Authors:  Maria Chikina; Wesley Pegden
Journal:  PLoS One       Date:  2020-07-24       Impact factor: 3.240

2.  A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2.

Authors:  Tom Britton; Frank Ball; Pieter Trapman
Journal:  Science       Date:  2020-06-23       Impact factor: 47.728

3.  Preparing for a responsible lockdown exit strategy.

Authors:  Marius Gilbert; Mathias Dewatripont; Eric Muraille; Jean-Philippe Platteau; Michel Goldman
Journal:  Nat Med       Date:  2020-05       Impact factor: 53.440

4.  Global, regional, and national estimates of the population at increased risk of severe COVID-19 due to underlying health conditions in 2020: a modelling study.

Authors:  Andrew Clark; Mark Jit; Charlotte Warren-Gash; Bruce Guthrie; Harry H X Wang; Stewart W Mercer; Colin Sanderson; Martin McKee; Christopher Troeger; Kanyin L Ong; Francesco Checchi; Pablo Perel; Sarah Joseph; Hamish P Gibbs; Amitava Banerjee; Rosalind M Eggo
Journal:  Lancet Glob Health       Date:  2020-06-15       Impact factor: 26.763

5.  Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus-Infected Pneumonia.

Authors:  Qun Li; Xuhua Guan; Peng Wu; Xiaoye Wang; Lei Zhou; Yeqing Tong; Ruiqi Ren; Kathy S M Leung; Eric H Y Lau; Jessica Y Wong; Xuesen Xing; Nijuan Xiang; Yang Wu; Chao Li; Qi Chen; Dan Li; Tian Liu; Jing Zhao; Man Liu; Wenxiao Tu; Chuding Chen; Lianmei Jin; Rui Yang; Qi Wang; Suhua Zhou; Rui Wang; Hui Liu; Yinbo Luo; Yuan Liu; Ge Shao; Huan Li; Zhongfa Tao; Yang Yang; Zhiqiang Deng; Boxi Liu; Zhitao Ma; Yanping Zhang; Guoqing Shi; Tommy T Y Lam; Joseph T Wu; George F Gao; Benjamin J Cowling; Bo Yang; Gabriel M Leung; Zijian Feng
Journal:  N Engl J Med       Date:  2020-01-29       Impact factor: 176.079

6.  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

Review 7.  Herd Immunity: Understanding COVID-19.

Authors:  Haley E Randolph; Luis B Barreiro
Journal:  Immunity       Date:  2020-05-19       Impact factor: 31.745

8.  The important role of serology for COVID-19 control.

Authors:  Amy K Winter; Sonia T Hegde
Journal:  Lancet Infect Dis       Date:  2020-04-21       Impact factor: 25.071

Review 9.  COVID-19 and Italy: what next?

Authors:  Andrea Remuzzi; Giuseppe Remuzzi
Journal:  Lancet       Date:  2020-03-13       Impact factor: 79.321

10.  Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020.

Authors:  Timothy W Russell; Joel Hellewell; Christopher I Jarvis; Kevin van Zandvoort; Sam Abbott; Ruwan Ratnayake; Stefan Flasche; Rosalind M Eggo; W John Edmunds; Adam J Kucharski
Journal:  Euro Surveill       Date:  2020-03
View more
  5 in total

1.  The Impact of the Highly Virulent SARS-CoV-2 Gamma Variant on Young Adults in the State of São Paulo: Was It Inevitable?

Authors:  Beny Spira
Journal:  Cureus       Date:  2022-07-01

2.  Improving preparedness for next pandemics: Max level of COVID-19 vaccinations without social impositions to design effective health policy and avoid flawed democracies.

Authors:  Mario Coccia
Journal:  Environ Res       Date:  2022-05-31       Impact factor: 8.431

3.  COVID-19 pandemic over 2020 (withlockdowns) and 2021 (with vaccinations): similar effects for seasonality and environmental factors.

Authors:  Mario Coccia
Journal:  Environ Res       Date:  2022-01-13       Impact factor: 8.431

4.  Reconstructing the Effectiveness of Policy Measures to Avoid Next-Wave COVID-19 Infections and Deaths Using a Dynamic Simulation Model: Implications for Health Technology Assessment.

Authors:  Arnold Hagens; Kathya Cordova-Pozo; Maarten Postma; Jan Wilschut; Lorenzo Zino; Jurjen van der Schans
Journal:  Front Med Technol       Date:  2022-01-26

5.  Modelling Analysis of COVID-19 Transmission and the State of Emergency in Japan.

Authors:  Zhongxiang Chen; Zhiquan Shu; Xiuxiang Huang; Ke Peng; Jiaji Pan
Journal:  Int J Environ Res Public Health       Date:  2021-06-26       Impact factor: 3.390

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.