Literature DB >> 32423581

Institutional, not home-based, isolation could contain the COVID-19 outbreak.

Borame L Dickens1, Joel R Koo1, Annelies Wilder-Smith2, Alex R Cook1.   

Abstract

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Year:  2020        PMID: 32423581      PMCID: PMC7190294          DOI: 10.1016/S0140-6736(20)31016-3

Source DB:  PubMed          Journal:  Lancet        ISSN: 0140-6736            Impact factor:   79.321


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In the absence of vaccines, non-pharmaceutical interventions such as physical distancing, intensive contact tracing, and case isolation remain frontline measures in controlling the spread of severe acute respiratory syndrome coronavirus 2. In Wuhan, China, these measures were implemented alongside city lockdown, mass quarantine, and school closure during the coronavirus disease 2019 (COVID-19) outbreak in January and February, 2020. Critical to Wuhan's success, cases identified through liberal testing, regardless of symptom profile, were immediately isolated in purpose-built shelters, as delays in isolation from symptom onset increase transmission risk substantially. European countries and the USA have mostly followed these measures, except, in most cases, only people with severe symptoms are being admitted to hospital, whereas people with mild symptoms are asked to self-isolate at home. Test kit shortages and limited health-care facility capacity have also led to unconfirmed cases self-isolating at home. Compliance with home isolation, however, is partial. In Israel, 57% of people with unconfirmed infection did not self-isolate because they were not financially compensated and because the lay public is not informed on how to keep strict isolation measures at home. We modelled and compared two types of isolation measures: institution-based isolation and home-based isolation. The former is modelled after China, with isolation of confirmed cases in quarantine facilities resulting in no further onward within-household transmission, and the quarantining of contacts with legal enforcement. Once quarantined, contact rates are reduced by 75% in the household and by 90% in the community. We contrasted this with home-based isolation, modelled after Europe and the USA, where home isolation of confirmed cases is the current policy. This approach is assumed to cause a 50% reduction in contact within the home and a 75% reduction in contact in the community. Contact cases have an overall reduced interaction at an assumed contact rate of 50%. No reduction in transmission is assumed to occur for asymptomatic infections because asymptomatic cases are not being identified and isolated. We used GeoDEMOS-R, an agent-based respiratory illness simulation model that estimates the total number of infections through time and measures the effects of quarantining, physcial distancing, and school closure on a city population. A different calibration procedure, however, was used to estimate the number of infections over time. We assumed a basic reproduction number of 2 for the initial 4-week phase of the COVID-19 epidemic, with a subsequent decrease in the effective reproduction number due to the implementation of physical distancing control measures. The model represents a large city of 4 million residents, modelled upon the city-state of Singapore. Relative to the baseline with no control measures (figure ), our models showed that home-based isolation causes an 8-day delay (IQR 5–11) in the epidemic peak, with a corresponding reduction of 7100 cases (IQR 6800–7400) at this peak and 190 000 cases averted throughout the epidemic (IQR 185 000–194 000). Institution-based isolation created a peak delay of 18 days and a reduction of 18 900 cases (18 700–19 100). A total of 546 000 cases (IQR 540 000–550 000) are averted throughout the epidemic, representing roughly a 57% reduction in comparison to 20% reduction through home-based isolation.
Figure

Number of new infections (A) and cumulative infections (B) within 7 months under the baseline control measures (black), home-based isolation (blue), and institution-based isolation (red)

Number of new infections (A) and cumulative infections (B) within 7 months under the baseline control measures (black), home-based isolation (blue), and institution-based isolation (red) These results show the need for institution-based isolation to reduce household and community transmission. They also provide theoretical support for the approach successfully implemented in Wuhan, where fangcang isolation shelters were established for all infected and potentially exposed individuals. These shelters provided triage, basic medical care, frequent monitoring, rapid referrals, and essential living and social engagements for the wellbeing of those isolated. Crucially, the fangcang obviated most of the risk of within-household transmission, which frequently occurs as viral loads can be high for mild infections. Home-based isolation, which is reliant on personal compliance, will therefore inevitably lead to increased transmission. Although cities within Europe and the USA might not be able to create make-shift isolation centres similar to those in Wuhan, due to a lack of social acceptability or negative public perceptions, other strategies should be considered to reduce transmission, such as repurposing hotels or dormitories. We urge policy makers in countries with or facing overburdened health-care facilities to consider such measures as countries emerge from lockdowns.
  9 in total

1.  Comparative estimation of the reproduction number for pandemic influenza from daily case notification data.

Authors:  Gerardo Chowell; Hiroshi Nishiura; Luís M A Bettencourt
Journal:  J R Soc Interface       Date:  2007-02-22       Impact factor: 4.118

2.  Covid-19: emergency departments lack proper isolation facilities, senior medic warns.

Authors:  Gareth Iacobucci
Journal:  BMJ       Date:  2020-03-09

3.  Self-Isolation Compliance In The COVID-19 Era Influenced By Compensation: Findings From A Recent Survey In Israel.

Authors:  Moran Bodas; Kobi Peleg
Journal:  Health Aff (Millwood)       Date:  2020-04-09       Impact factor: 6.301

4.  Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak.

Authors:  A Wilder-Smith; D O Freedman
Journal:  J Travel Med       Date:  2020-03-13       Impact factor: 8.490

Review 5.  Fangcang shelter hospitals: a novel concept for responding to public health emergencies.

Authors:  Simiao Chen; Zongjiu Zhang; Juntao Yang; Jian Wang; Xiaohui Zhai; Till Bärnighausen; Chen Wang
Journal:  Lancet       Date:  2020-04-02       Impact factor: 79.321

6.  Deciphering the power of isolation in controlling COVID-19 outbreaks.

Authors:  Yan Niu; Fujie Xu
Journal:  Lancet Glob Health       Date:  2020-04       Impact factor: 26.763

7.  Household transmission of SARS-CoV-2.

Authors:  Zhongliang Wang; Wanli Ma; Xin Zheng; Gang Wu; Ruiguang Zhang
Journal:  J Infect       Date:  2020-04-10       Impact factor: 6.072

8.  Interventions to mitigate early spread of SARS-CoV-2 in Singapore: a modelling study.

Authors:  Joel R Koo; Alex R Cook; Minah Park; Yinxiaohe Sun; Haoyang Sun; Jue Tao Lim; Clarence Tam; Borame L Dickens
Journal:  Lancet Infect Dis       Date:  2020-03-23       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

  9 in total
  46 in total

1.  Systems dynamics approach for modelling South Africa's response to COVID-19: A "what if" scenario.

Authors:  Shingirirai Savious Mutanga; Mercy Ngungu; Fhulufhelo Phillis Tshililo; Martin Kaggwa
Journal:  J Public Health Res       Date:  2021-02-01

Review 2.  Reporting on the implementation to set up a "care and isolation facility" for mild COVID-19 cases in Tokyo.

Authors:  Hidechika Akashi; Haruka Kodoi; Shinichiro Noda; Toyomitsu Tamura; Hiroko Baba; Eiki Chinda; Moe Moe Thandar; Keisuke Naito; Yu Watanabe; Yuko Suzuki; Tomoyo Narita; Taichi Shimazu
Journal:  Glob Health Med       Date:  2022-04-30

3.  Study on the Localization of Fangcang Shelter Hospitals During Pandemic Outbreaks.

Authors:  Bin Hu; Wei Chen; Tingyu Yue; Guanhua Jiang
Journal:  Front Public Health       Date:  2022-06-21

4.  Vulnerability of community-based isolation: a case of concurrent COVID-19 and primary varicella infection.

Authors:  Pei Hua Lee; Poh Lian Lim
Journal:  Singapore Med J       Date:  2020-07-30       Impact factor: 3.331

5.  The Validity and Reliability of the Chula COVID-19 Psychosocial Home Isolation Evaluation Tool (CCPHIET).

Authors:  Paul Thisayakorn; Napat Sirinimnualkul; Yanin Thipakorn; Jirada Prasartpornsirichoke; Chumpol Suraphaphairoj; Gompol Suwanpimolkul; Tippamas Taechawiwat; Jose R Maldonado
Journal:  Cureus       Date:  2022-05-22

6.  Strategies at points of entry to reduce importation risk of COVID-19 cases and reopen travel.

Authors:  Borame L Dickens; Joel R Koo; Jue Tao Lim; Haoyang Sun; Hannah E Clapham; Annelies Wilder-Smith; Alex R Cook
Journal:  J Travel Med       Date:  2020-12-23       Impact factor: 8.490

7.  Feasibility of large-scale population testing for SARS-CoV-2 detection by self-testing at home.

Authors:  Paula Iruzubieta; Tatiana Fernández-Lanas; Laura Rasines; Lorena Cayon; Ana Álvarez-Cancelo; Alvaro Santos-Laso; Agustín García-Blanco; Soraya Curiel-Olmo; Joaquín Cabezas; Reinhard Wallmann; Emilio Fábrega; Víctor M Martínez-Taboada; José L Hernández; Marcos López-Hoyos; Jeffrey V Lazarus; Javier Crespo
Journal:  Sci Rep       Date:  2021-05-10       Impact factor: 4.379

8.  Home versus institutional isolation of mild COVID-19 patients.

Authors:  Devasahayam Jesudas Christopher; Barney Tj Isaac; Balamugesh Thangakunam
Journal:  Lung India       Date:  2021-03

9.  Current status and influential factors for family health management during quarantine: A latent category analysis.

Authors:  Guangming Li; Mengying Li; Shuzhen Peng; Ying Wang; Li Ran; Xuyu Chen; Ling Zhang; Sirong Zhu; Qi Chen; Wenjing Wang; Yang Xu; Yubin Zhang; Xiaodong Tan
Journal:  PLoS One       Date:  2022-04-21       Impact factor: 3.752

10.  Self-Isolation and Quarantine during the UK's First Wave of COVID-19. A Mixed-Methods Study of Non-Adherence.

Authors:  Yolanda Eraso; Stephen Hills
Journal:  Int J Environ Res Public Health       Date:  2021-06-30       Impact factor: 3.390

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