1.Analysis of the genome and transmission characteristics of an aggregated novel coronavirus infection based on metagenomic next-generation sequencing
Yurong YANG ; Hanbing WAN ; Yaoxia KANG ; Jingxian PENG ; Meng GAO ; Xin LIU ; Xiaokui GUO ; Yongzhang ZHU
Chinese Journal of Endemiology 2023;42(2):152-156
Objective:To analyze the viral genome sequence of novel coronavirus infected persons in Baotou City, understand the mutation characteristics of novel coronavirus genome in the process of transmission among cases, and explore the transmission rule of novel coronavirus in the clustered populations.Methods:Nine throat swabs samples (No. 1 - 7, No. 9, and No. 10), two sputum samples (No. 8, No. 11, and No. 11 sample was from No. 10 case), and one surface smear sample (No.12, and No. 12 sample was from No. 10 case) were collected from 10 confirmed cases of novel coronavirus infection in Baotou City from January 25 to February 21, 2020. Samples 1 and 3 were from single cases, and the rest were from clustered cases. The virus genome was sequenced by metagenomic next-generation sequencing (mNGS), and single nucleotide polymorphism (SNP) mutation sites were screened by comparing with NC_045512, a reference strain of novel coronavirus. Combined with relevant epidemiological information, gene mutation, virus typing, and evolutionary traceability analysis were carried out.Results:The results of viral genome mNGS showed that 76 SNP mutation sites were detected in 12 samples compared with the reference strain NC_045512, including 3 (3.95%) transitions and 73 (96.05%) reversals. There were 19 (25.00%) synonymous mutations and 57 (75.00%) non-synonymous mutations. The analysis of nucleotide and amino acid variation sites showed that mutations were found at five sites (T2821C, C6548T, T16464C, G16858A and T251C) in all the clustered cases (cases 2, 4 - 10). In the single cases, sample 1 had mutations at C9245T and A15340T, and sample 3 had mutation at C13T. The virus typing analysis showed that the samples 1 and 3 belonged to the L type of novel coronavirus, while the rest belonged to the S type of novel coronavirus. The results of genomic evolutionary relationship analysis showed that all the samples could be divided into two branches. The branches of sample 1 and 3 belonged to single cases, and the rest belonged to family clustered cases.Conclusion:The genomic characteristics of the clustered cases of novel coronavirus infection in Baotou City are basically consistent with the epidemiological investigation results, and the transmission of the virus is mainly related to close contact and family gathering.
2.Investigation on two family clusters of COVID-19 in a county of Baotou city in Inner Mongolia Autonomous Region
Chunfang LIU ; Tianxing LYU ; Zhengran LIU ; Hanbing WAN ; Suhua WANG ; Liang LIN ; Min ZHANG ; Yuhang ZHAO ; Li WANG ; Xin SU ; Yeli YANG ; Yuhua ZHU ; Peiyan LIU
Chinese Journal of Epidemiology 2020;41(8):1210-1213
Objective:To investigate the epidemiological characteristics and transmission chain of COVID-19 in two families, and to provide scientific evidence for effective prevention and control measures.Methods:Field epidemiological investigation was conducted for the COVID-19 cases occurred in two families and the close contacts in a county of Baotou city in Inner Mongolia Autonomous Region. Descriptive statistical analysis on epidemiological data was conducted.Results:The infection source of the COVID-19 cases in the two families was a man who had living history in Wuhan. After his return, his parents were infected by him. A few days later, the members of a neighbor family were found to be infected, and relatives of this family were also infected after dining together repeatedly. Finally, ten confirmed cases and three suspected cases of COVID-19 were detected in the two families.Conclusions:Human-to-human transmission of COVID-19 can occur not only in a family but also in neighborhoods. The cases in two families had close relationship, indicating the necessity to strengthen the health education about COVID-19 prevention and control and the management of groups at high risk to reduce the incidence of COVID-19 in families and neighborhoods.
3.Epidemiological investigation and analysis of a cluster epidemic of COVID-19 on campus in 2022
Qi WANG ; Dan LIU ; Tingju QIAO ; Xuesong SUN ; Hanbing WAN ; Zhengran LIU ; Gang BAI
Shanghai Journal of Preventive Medicine 2023;35(8):773-778
ObjectiveTo characterize a cluster epidemic of coronavirus disease 2019 (COVID-19)on campus in Baotou city and provide evidence for the prevention and control of COVID-19 in universities. MethodsField epidemiological investigation was conducted to determine the confirmed cases and close contacts in the cluster epidemic of COVID-19 in a university of western China in 2022. Descriptive analysis was utilized to illustrate the epidemic timeline and schematic diagram. Real-time quantitative fluorescent PCR(RT-PCR) was used to detect the nucleic acid of SARS-CoV-2 in the collected samples. ResultsA total of eight students were infected in the cluster epidemic on campus, including 2 confirmed cases and 6 asymptomatic cases. Case A1 infected other 7 students in the same dormitory or on the same floor by close contact. After a 10-day quarantine and medical observation, no further case was reported. The overall incidence rate was 1.22% and the incidence rate among close contacts was 2.24%. ConclusionThis cluster epidemic of COVID-19 is characterized by strong and fast transmission. Repeated contact with no personal protection in confined space is highly vulnerable to cluster epidemic. Prevention of cluster epidemics on campus remains crucial to contain the epidemic. Therefore, it is necessary to strengthen the management of campus containment, interrupt the transmission route, identify close contacts and implement quarantine management as early as possible to avoid the cluster epidemics on campus.