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Responding to the COVID-19 Outbreak in Singapore: Staff Protection and Staff Temperature and Sickness Surveillance Systems
Author(s) -
Htet Lin Htun,
Dwee Wee Lim,
Win Mar Kyaw,
Wan-Ning Janis Loh,
Lay Tin Lee,
Brenda Ang,
Angela Chow
Publication year - 2020
Publication title -
clinical infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.44
H-Index - 336
eISSN - 1537-6591
pISSN - 1058-4838
DOI - 10.1093/cid/ciaa468
Subject(s) - medicine , outbreak , personal protective equipment , covid-19 , medical emergency , infection control , emergency medicine , public health , health care , environmental health , infectious disease (medical specialty) , family medicine , disease , intensive care medicine , virology , nursing , economics , economic growth
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.

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