Propagation of a hospital-associated cluster of COVID-19 in Malaysia
Epidemiology
Economics
Epidemiological method
Infection control
Infectious and parasitic diseases
RC109-216
Cluster (spacecraft)
Infectious disease (medical specialty)
FOS: Health sciences
Social Distancing
Pediatrics
Disease Outbreaks
Coronavirus Disease 2019
Hospitals, University
Engineering
0302 clinical medicine
Pathology
Disease
Internal medicine
Phylogeny
Multidisciplinary
Modeling the Dynamics of COVID-19 Pandemic
Medical microbiology
Epidemiological investigation
Programming language
3. Good health
Infectious Diseases
Modeling and Simulation
Physical Sciences
Medicine
Emergency medicine
Coronavirus Disease 2019 Research
Hospital
03 medical and health sciences
Contact tracing
Virology
Health Sciences
FOS: Mathematics
Humans
Intensive care medicine
Pandemics
Economic growth
Pandemic
SARS-CoV-2
Research
Malaysia
Health care
COVID-19
Outbreak
Transmission (telecommunications)
Computer science
Coronavirus disease 2019 (COVID-19)
Index case
Whole genome sequencing
Electrical engineering
Mathematics
DOI:
10.1186/s12879-021-06894-y
Publication Date:
2021-12-09T11:11:23Z
AUTHORS (20)
ABSTRACT
Abstract
Background
Hospitals are vulnerable to COVID-19 outbreaks. Intrahospital transmission of the disease is a threat to the healthcare systems as it increases morbidity and mortality among patients. It is imperative to deepen our understanding of transmission events in hospital-associated cases of COVID-19 for timely implementation of infection prevention and control measures in the hospital in avoiding future outbreaks. We examined the use of epidemiological case investigation combined with whole genome sequencing of cases to investigate and manage a hospital-associated cluster of COVID-19 cases.
Methods
An epidemiological investigation was conducted in a University Hospital in Malaysia from 23 March to 22 April 2020. Contact tracing, risk assessment, testing, symptom surveillance, and outbreak management were conducted following the diagnosis of a healthcare worker with SARS-CoV-2 by real-time PCR. These findings were complemented by whole genome sequencing analysis of a subset of positive cases.
Results
The index case was symptomatic but did not fulfill the initial epidemiological criteria for routine screening. Contact tracing suggested epidemiological linkages of 38 cases with COVID-19. Phylogenetic analysis excluded four of these cases. This cluster included 34 cases comprising ten healthcare worker-cases, nine patient-cases, and 15 community-cases. The epidemic curve demonstrated initial intrahospital transmission that propagated into the community. The estimated median incubation period was 4.7 days (95% CI: 3.5–6.4), and the serial interval was 5.3 days (95% CI: 4.3–6.5).
Conclusion
The study demonstrated the contribution of integrating epidemiological investigation and whole genome sequencing in understanding disease transmission in the hospital setting. Contact tracing, risk assessment, testing, and symptom surveillance remain imperative in resource-limited settings to identify and isolate cases, thereby controlling COVID-19 outbreaks. The use of whole genome sequencing complements field investigation findings in clarifying transmission networks. The safety of a hospital population during this COVID-19 pandemic may be secured with a multidisciplinary approach, good infection control measures, effective preparedness and response plan, and individual-level compliance among the hospital population.
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CITATIONS (7)
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