Your browser doesn't support javascript.
loading
Effectiveness of Containment Measures Against COVID-19 in Singapore: Implications for Other National Containment Efforts.
Pung, Rachael; Cook, Alex R; Chiew, Calvin J; Clapham, Hannah E; Sun, Yinxiaohe; Li, Zongbin; Dickens, Borame L; Ma, Stefan; Mak, Kenneth; Tan, Chorh Chuan; Heng, Derrick; Chen, Mark I-Cheng; Lee, Vernon J.
Afiliação
  • Pung R; From the Ministry of Health, Singapore, Singapore.
  • Cook AR; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Chiew CJ; National University Health System, Singapore.
  • Clapham HE; From the Ministry of Health, Singapore, Singapore.
  • Sun Y; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Li Z; National University Health System, Singapore.
  • Dickens BL; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Ma S; National University Health System, Singapore.
  • Mak K; From the Ministry of Health, Singapore, Singapore.
  • Tan CC; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
  • Heng D; National University Health System, Singapore.
  • Chen MI; From the Ministry of Health, Singapore, Singapore.
  • Lee VJ; Saw Swee Hock School of Public Health, National University of Singapore, Singapore.
Epidemiology ; 32(1): 79-86, 2021 01.
Article em En | MEDLINE | ID: mdl-33044319
ABSTRACT

BACKGROUND:

We hypothesize that comprehensive surveillance of COVID-19 in Singapore has facilitated early case detection and prompt contact tracing and, with community-based measures, contained spread. We assessed the effectiveness of containment measures by estimating transmissibility (effective reproduction number, (Equation is included in full-text article.)) over the course of the outbreak.

METHODS:

We used a Bayesian data augmentation framework to allocate infectors to infectees with no known infectors and determine serial interval distribution parameters via Markov chain Monte Carlo sampling. We fitted a smoothing spline to the number of secondary cases generated by each infector by respective onset dates to estimate (Equation is included in full-text article.)and evaluated increase in mean number of secondary cases per individual for each day's delay in starting isolation or quarantine.

RESULTS:

As of April 1, 2020, 1000 COVID-19 cases were reported in Singapore. We estimated a mean serial interval of 4.6 days [95% credible interval (CI) = 4.2, 5.1] with a SD of 3.5 days (95% CI = 3.1, 4.0). The posterior mean (Equation is included in full-text article.)was below one for most of the time, peaking at 1.1 (95% CI = 1.0, 1.3) on week 9 of 2020 due to a spreading event in one of the clusters. Eight hundred twenty-seven (82.7%) of cases infected less than one person on average. Over an interval of 7 days, the incremental mean number of cases generated per individual for each day's delay in starting isolation or quarantine was 0.03 cases (95% CI = 0.02, 0.05).

CONCLUSIONS:

We estimate that robust surveillance, active case detection, prompt contact tracing, and quarantine of close contacts kept (Equation is included in full-text article.)below one.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Controle de Doenças Transmissíveis / COVID-19 / Política de Saúde Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Controle de Doenças Transmissíveis / COVID-19 / Política de Saúde Tipo de estudo: Diagnostic_studies / Health_economic_evaluation / Prognostic_studies / Screening_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article