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
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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