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| http://dx.doi.org/10.1017/ice.2018.147 | DOI Listing |
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Molecular epidemiological analysis of Influenza viruses in Influenza-like illness cases: a retrospective study in Chongqing Hi-Tech Zone, China (2021-2024).
Virol J
December 2024
Department of Laboratory Medicine, University Town Hospital of Chongqing Medical University, No. 55, Middle Road University, Chongqing, 410331, China.
Objectives: To analyze the molecular epidemiological characteristics of influenza viruses in influenza-like cases in Chongqing Hi-Tech Zone, China, to provide data support and a scientific basis for optimizing influenza prevention and control strategies in the region.
Materials And Methods: A retrospective analysis was conducted on the molecular epidemiological characteristics of influenza viruses in influenza-like cases at a hospital in Chongqing Hi-Tech Zone from 2021 to 2024. Colloidal gold detection of viral antibodies, fluorescent PCR detection of nucleic acids, and gene sequencing were used to identify the different subtypes.
Rapid detection of Pan-Avian Influenza Virus and H5, H7, H9 subtypes of Avian Influenza Virus using CRISPR/Cas13a and lateral flow assay.
Poult Sci
December 2024
Guangdong Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Key Laboratory of Zoonoses Prevention and Control of Guangdong Province, National Avian Influenza Para-Reference Laboratory (Guangzhou), College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642, China. Electronic address:
Avian Influenza Virus (AIV) has been prevalent worldwide in recent years, resulting in substantial economic losses in the poultry industry. More importantly, AIV is capable of cross-species transmission among mammals, posing a dormant yet considerable threat to human health and safety. In this study, two rapid detection methods for AIV based on the CRISPR-Cas13a were developed.
View Article and Find Full Text PDFHighly Pathogenic Avian Influenza A(H5N1) Virus Infections in Humans.
N Engl J Med
December 2024
From the Influenza Division, Centers for Disease Control and Prevention, Atlanta (S.G., K.R., A.C., K.K., C.T.D., M.K.K., S. Ellington, A.M.M., A.B., J.R.B., M.B., M.A.J., M.R.-C., E.B., T.T.S., T.M.U., V.G.D., C.R., S.J.O.); California Department of Public Health, Richmond (E.L.M., S.Z., V.K., D.A.W.); the Epidemic Intelligence Service, Centers for Disease Control and Prevention, Atlanta (S.Z., C.D.); Colorado Department of Public Health and Environment, Denver (C.D., A.K., M.O.); Mid-Michigan District Health Department, Stanton (J.M.); Michigan Department of Health and Human Services, Lansing (S. Eckel); Missouri Department of Health and Senior Services, Jefferson City (J.G., G.T.); Benton-Franklin Health District, Kennewick, WA (S.K.); Washington State Department of Health, Tumwater (A.U.); and Texas Department of State Health Services, Austin (E.R.G., C.A.H.).
Background: Highly pathogenic avian influenza A(H5N1) viruses have caused widespread infections in dairy cows and poultry in the United States, with sporadic human cases. We describe characteristics of human A(H5N1) cases identified from March through October 2024 in the United States.
Methods: We analyzed data from persons with laboratory-confirmed A(H5N1) virus infection using a standardized case-report form linked to laboratory results from the Centers for Disease Control and Prevention influenza A/H5 subtyping kit.
Analyzing information sharing behaviors during stance formation on COVID-19 vaccination among Japanese Twitter users.
PLoS One
December 2024
Institute of Industrial Science, The University of Tokyo, Bunkyo-ku, Tokyo, Japan.
To prevent widespread epidemics such as influenza or measles, it is crucial to reach a broad acceptance of vaccinations while addressing vaccine hesitancy and refusal. To gain a deeper understanding of Japan's sharp increase in COVID-19 vaccination coverage, we performed an analysis on the posts of Twitter users to investigate the formation of users' stances toward COVID-19 vaccines and information-sharing actions through the formation. We constructed a dataset of all Japanese posts mentioning vaccines for five months since the beginning of the vaccination campaign in Japan and carried out a stance detection task for all the users who wrote the posts by training an original deep neural network.
View Article and Find Full Text PDFProfiling endogenous airway proteases and antiproteases and modeling proteolytic activation of Influenza HA using in vitro and ex vivo human airway surface liquid samples.
PLoS One
December 2024
Curriculum in Toxicology and Environmental Medicine, University of North Carolina, Chapel Hill, NC, United States of America.
Imbalance of airway proteases and antiproteases has been implicated in diseases such as COPD and environmental exposures including cigarette smoke and ozone. To initiate infection, endogenous proteases are commandeered by respiratory viruses upon encountering the airway epithelium. The airway proteolytic environment likely contains redundant antiproteases and proteases with diverse catalytic mechanisms, however a proteomic profile of these enzymes and inhibitors in airway samples has not been reported.
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