PropertyValue
?:abstract
  • BACKGROUND: Coronavirus disease 2019 (COVID-19) is an emerging infectious disease caused by a novel coronavirus (SARS-CoV-2) and first reported in Wuhan, China, in December 2019. Since the severe acute respiratory syndrome (SARS) outbreak in 2003, Tan Tock Seng Hospital (TTSH) in Singapore has routinely fit-tested staff for high-filtration N95 respirators and established Web-based staff surveillance systems. The routine systems were enhanced in response to Singapore\'s first imported COVID-19 case on 23 January 2020. METHODS: We conducted a cross-sectional study from 23 January to 23 February 2020 among healthcare workers to evaluate the effectiveness of the staff protection and surveillance strategy in TTSH, a 1600-bed multidisciplinary acute-care hospital colocated with the 330-bed National Centre for Infectious Diseases (NCID). As of 23 February 2020, TTSH/NCID has managed 76% of confirmed COVID-19 cases in Singapore. The hospital adopted a multipronged approach to protect and monitor staff with potential COVID-19 exposures: (1) risk-based personal protective equipment, (2) staff fever and sickness surveillance, and (3) enhanced medical surveillance of unwell staff. RESULTS: A total of 10 583 staff were placed on hospitalwide fever and sickness surveillance, with 1524 frontline staff working in COVID-19 areas under close surveillance. Among frontline staff, a median of 8 staff illness episodes was seen per day; almost 10% (n = 29) resulted in hospitalization. None of the staff was found to be infected with COVID-19. CONCLUSIONS: A robust staff protection and health surveillance system that is routinely implemented during non-outbreak periods and enhanced during the COVID-19 outbreak is effective in protecting frontline staff from the infection.
is ?:annotates of
?:creator
?:journal
  • Clin_Infect_Dis
?:license
  • unk
?:publication_isRelatedTo_Disease
is ?:relation_isRelatedTo_publication of
?:source
  • WHO
?:title
  • Responding to the COVID-19 Outbreak in Singapore: Staff Protection and Staff Temperature and Sickness Surveillance Systems
?:type
?:who_covidence_id
  • #99752
?:year
  • 2020

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