To explore the epidemiological characteristic of a COVID-19 outbreak caused by 2019-nCoV Omicron variant BF.7 and other provinces imported in Shenzhen and analyze transmission chains and characteristics. Field epidemiological survey was conducted to identify the transmission chain, analyze the generation relationship among the cases. The 2019-nCoV nucleic acid positive samples were used for gene sequencing. From 8 to 23 October, 2022, a total of 196 cases of COVID-19 were reported in Shenzhen, all the cases had epidemiological links. In the cases, 100 were men and 96 were women, with a median of age, , ) was 33(25, 46) years. The outbreak was caused by traverlers initial cases infected with 2019-nCoV who returned to Shenzhen after traveling outside of Guangdong Province.There were four transmission chains, including the transmission in place of residence and neighbourhood, affecting 8 persons, transmission in social activity in the evening on 7 October, affecting 65 persons, transmission in work place on 8 October, affecting 48 persons, and transmission in a building near the work place, affecting 74 persons. The median of the incubation period of the infection, (, ) was 1.44 (1.11, 2.17) days. The incubation period of indoor exposure less than that of the outdoor exposure, (, ) was 1.38 (1.06, 1.84) and 1.95 (1.22, 2.99) days, respcetively ( =10.27, =0.001). With the increase of case generation, the number and probability of gene mutation increased. In the same transmission chain, the proportion of having 1-3 mutation sites was high in the cases in the first generation. The transmission chains were clear in this epidemic. The incubation period of Omicron variant BF.7 infection was shorter, the transmission speed was faster, and the gene mutation rate was higher. It is necessary to conduct prompt response and strict disease control when epidemic occurs.
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http://dx.doi.org/10.3760/cma.j.cn112338-20221031-00926 | DOI Listing |
Lancet Reg Health Eur
March 2025
Nutrition and Metabolism Branch, International Agency for Research on Cancer, Lyon, France.
Background: Ultra-processed food (UPF) consumption has been linked with higher risk of mortality. This multi-centre study investigated associations between food intake by degree of processing, using the Nova classification, and all-cause and cause-specific mortality.
Methods: This study analyzed data from the European Prospective Investigation into Cancer and Nutrition.
Infect Drug Resist
January 2025
Department of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People's Republic of China.
Objective: This study aimed to analyze the antimicrobial resistance profiles, clinical characteristics and risk factors of bacteremia caused by complex (ECC) strains.
Methods: We retrospectively collected clinical data from patients diagnosed with ECC bacteremia between 2013 and 2022 in a tertiary hospital in Jiangsu. Subgroup analyses were performed based on multidrug resistance (MDR), nosocomial acquisition, polymicrobial bacteremia, and mortality.
Infect Drug Resist
January 2025
Center for Infectious Diseases Research (CIDR) and WHO Collaborating Center for Reference and Research on Bacterial Pathogens, American University of Beirut, Beirut, Lebanon.
Introduction: Multidrug resistant (MDR) Gram-negative bacterial infections are considered a major public health threat. The objectives of this study were to describe the epidemiology, potential contributing factors, and antimicrobial resistance patterns associated with infections caused by MDR Gram-negative bacteria (GNB) in non-immunocompromised children and adolescents.
Methods: This was a retrospective observational study conducted at the American University of Beirut Medical Center (AUBMC) from 2009 to 2017.
Rev Cardiovasc Med
January 2025
Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, 510260 Guangzhou, Guangdong, China.
Background: To study the risk of cardiovascular disease (CVD) and other competing causes of death in older kidney cancer patients.
Methods: Data on older patients (aged 65 and above) diagnosed with kidney cancer between 1975 and 2018 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. We delved into the distribution of CVD and other competing causes of death across the entire cohort and in various patient subgroups.
Interdiscip Perspect Infect Dis
January 2025
Department of Biostatistics and Epidemiology, School of Health, Research Center for Environmental Contaminants, Abadan University of Medical Sciences, Abadan, Iran.
In recent years, the global rise of antibiotic-resistant () has become a significant threat to public health. This study aimed to identify and track outbreaks of antibiotic resistance, specifically among the antibiotics used to treat nosocomial infections. This hospital-based study utilized data from a nosocomial infection surveillance system to investigate reported cases of antibiotic resistance.
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