| Literature DB >> 33330740 |
Sei Harada1, Shunsuke Uno2,3, Takayuki Ando4, Miho Iida1, Yaoko Takano3, Yoshiki Ishibashi1, Yoshifumi Uwamino3,5, Tomoyasu Nishimura6, Ayano Takeda6, Sho Uchida2,3, Aya Hirata1, Mizuki Sata1, Minako Matsumoto1, Ayano Takeuchi1, Hideaki Obara3,7, Hirokazu Yokoyama6, Koichi Fukunaga8, Masayuki Amagai9, Yuko Kitagawa7, Toru Takebayashi1, Naoki Hasegawa2,3.
Abstract
BACKGROUND: Nosocomial spread of coronavirus disease 2019 (COVID-19) causes clusters of infection among high-risk individuals. Controlling this spread is critical to reducing COVID-19 morbidity and mortality. We describe an outbreak of COVID-19 in Keio University Hospital, Japan, and its control and propose effective control measures.Entities:
Keywords: COVID-19; infection control strategy; nosocomial infection; nosocomial outbreak
Year: 2020 PMID: 33330740 PMCID: PMC7665726 DOI: 10.1093/ofid/ofaa512
Source DB: PubMed Journal: Open Forum Infect Dis ISSN: 2328-8957 Impact factor: 3.835
Figure 1.Flowchart of polymerase chain reaction testing for coronavirus disease 2019 of patients and health care workers between March 24 and April 24 in our hospital. Abbreviations: CAI, community-acquired infection; HCW, health care worker; NI, nosocomial infection; PCR, polymerase chain reaction.
Presumptive Sources of Infection and Symptomatic Status of PCR-Confirmed Cases
| Patients | Health Care Workers | ||||
|---|---|---|---|---|---|
| Community-Acquired Infection | Nosocomial Infection | Community-Acquired Infection | Nosocomial Infection | ||
| (n = 19) | (n = 5) | (n = 9) | (n = 40) | ||
| Sex, No. (%) | Male | 12 (63.1) | 5 (100) | 3 (33.3) | 21 (52.5) |
| Female | 7 (36.8) | 0 (0) | 6 (66.7) | 19 (47.5) | |
| Age, mean ± SD, y | 56.9 ± 21.0 | 74.0 ± 9.2 | 31.4 ± 4.0 | 31.7 ± 10.1 | |
| 0–19 y, No. (%) | 1 (5.3) | 0 (0) | 0 (0.0) | 0 (0) | |
| 20–39 y, No. (%) | 2 (10.5) | 0 (0) | 9 (100) | 35 (87.5) | |
| 40–59 y, No. (%) | 5 (26.3) | 0 (0) | 0 (0.0) | 3 (7.5) | |
| ≥60 y, No. (%) | 11 (57.9) | 5 (100) | 0 (0.0) | 2 (5.0) | |
| Presumptive sources of infection in the hospital and their symptomatic status, No. (%) | |||||
| From a patient | - | 4 (80.0) | - | 9 (22.5) | |
| Asymptomatic | - | 4 (100) | - | 7 (77.8) | |
| Presymptomatic | 4 (100) | 7 (100) | |||
| Never-symptomatic | 0 (0) | 0 (0) | |||
| Symptomatic | - | 0 (0) | - | 2 (22.2) | |
| From a worker | - | 0 (0) | - | 31 (77.5) | |
| Asymptomatic | - | 0 (0) | - | 31 (100) | |
| Presymptomatic | - | 10 (32.2) | |||
| Never-symptomatic | - | 2 (6.5) | |||
| Unable to distinguisha | - | 19 (61.3) | |||
| Symptomatic | - | 0 (0) | - | 0 (0) | |
| Unknown | - | 1 (20.0) | - | 0 (0) | |
| Symptom status at PCR testing, No. (%) | |||||
| Symptomatic | 11 (57.9) | 4 (87.5) | 4 (44.4) | 16 (40.0) | |
| Presymptomatic | 0 (0.0) | 1 (12.5) | 0 (0.0) | 4 (10.0) | |
| Asymptomatic | 8 (42.1) | 0 (0) | 5 (55.6) | 20 (50.0) | |
Abbreviation: PCR, polymerase chain reaction.
aResident physicians were not able to distinguish the source of the infection because of the group infection.
Figure 2.A, Epicurve of confirmed cases by date of polymerase chain reaction (PCR) confirmation and (B) symptomatic cases by date of onset for coronavirus disease 2019 outbreak at Keio University Hospital. A, Dates of PCR confirmation in chronological order show that the number of cases peaked on April 1, then decreased. B, Number of onsets in NI cases peaked on March 30, then decreased. Abbreviations: CAI, community-acquired infection; HCW, health care worker; NI, nosocomial infection.
Figure 3.Time course for coronavirus disease 2019 (COVID-19) outbreak in each cluster. *Primary case: A, admission; E, exposure to a primary case; E’, exposure to a secondary case; E’’, exposed at hospital A; O, onset; P, positive polymerase chain reaction test; G, gathering for meals. A, The transmission cluster at a ward. A presymptomatic primary case (case 1) transmitted COVID-19 to 7 individuals in a short period. A presymptomatic patient (case 5) generated 1 definite secondary infection (case 6). B, The transmission cluster of physicians who worked at both Keio University Hospital and hospital A. Case 1 transmitted COVID-19 to 2 health care workers (HCWs; cases 2, 3) having meals together despite never having had any symptoms. No secondary case was discovered for the other 4 primary cases (cases 4–7). C, The transmission cluster at the pediatric outpatient clinic. The primary case transmitted COVID-19 to 4 HCWs in a short period. No secondary infection was discovered. D, The transmission cluster of resident physicians. Five resident physicians were discovered to be febrile on March 30 and confirmed to be COVID-19-positive. Immediate quarantine of all resident physicians was instituted on March 31. With careful contact tracing, no apparent contact with other positive individuals was found. Although the primary case was not clear, we assumed case 1 was the primary case when calculating R0 in this cluster D. Fifteen of 20 in this cluster had gathered for meals on March 26.
Figure 4.Distribution of the number of secondary cases generated by a single primary case with coronavirus disease 2019 in the hospital. The number of secondary cases per each primary case is shown. Primary cases before March 31 represent primary cases who had onset or were confirmed positive by March 31. Primary cases after April 1 represent primary cases who experienced neither disease onset nor confirmation as positive by March 31. The primary cases, except for those of clusters A–D, did not generate any definite secondary cases.