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Proactive and blended approach for COVID-19 control in Taiwan.
Cheng, Hao-Yuan; Huang, Angela Song-En.
Afiliação
  • Cheng HY; Epidemic Intelligence Center, Taiwan Centers for Disease Control, Taipei, Taiwan; Department of Pediatrics, National Taiwan University Children's Hospital, Taipei, Taiwan. Electronic address: drhao@cdc.gov.tw.
  • Huang AS; Office of Preventive Medicine, Taiwan Centers for Disease Control, Taipei, Taiwan.
Biochem Biophys Res Commun ; 538: 238-243, 2021 01 29.
Article em En | MEDLINE | ID: mdl-33220926
ABSTRACT
Coronavirus disease 2019 (COVID-19) has become the greatest threat to human society in a century. To better devise control strategies, policymakers should adjust policies based on scientific evidence in hand. Several countries have limited the epidemics of COVID-19 by prioritizing containment strategies to mitigate the impacts on public health and healthcare systems. However, asymptomatic/pre-symptomatic transmission of COVID-19 complicated traditional symptom-based approaches for disease control. In addition, drastic population-based interventions usually have significant societal and economic impacts. Therefore, in Taiwan, the containment strategies consisted of the more extended case-based interventions (e.g., case detection with enhanced surveillance and contact tracing with active monitoring and quarantine of close contacts) and more targeted population-based interventions (e.g., face mask use in recommended settings and risk-oriented border control with corresponding quarantine requirement). The success of the blended approach emphasizes not only the importance of evidence-supported policymaking but also the coordinated efforts between the government and the people.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Formulação de Políticas / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Formulação de Políticas / COVID-19 Tipo de estudo: Diagnostic_studies Limite: Humans País/Região como assunto: Asia Idioma: En Ano de publicação: 2021 Tipo de documento: Article