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Pellegrini F, Buonavoglia A, Omar AH, Diakoudi G, Lucente MS, Odigie AE, Sposato A, Augelli R, Camero M, Decaro N, Elia G, Bányai K, Martella V, Lanave G. A Cold Case of Equine Influenza Disentangled with Nanopore Sequencing. Animals (Basel) 2023; 13:ani13071153. [PMID: 37048408 PMCID: PMC10093709 DOI: 10.3390/ani13071153] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 03/13/2023] [Accepted: 03/21/2023] [Indexed: 03/29/2023] Open
Abstract
Massive sequencing techniques have allowed us to develop straightforward approaches for the whole genome sequencing of viruses, including influenza viruses, generating information that is useful for improving the levels and dimensions of data analysis, even for archival samples. Using the Nanopore platform, we determined the whole genome sequence of an H3N8 equine influenza virus, identified from a 2005 outbreak in Apulia, Italy, whose origin had remained epidemiologically unexplained. The virus was tightly related (>99% at the nucleotide level) in all the genome segments to viruses identified in Poland in 2005–2008 and it was seemingly introduced locally with horse trading for the meat industry. In the phylogenetic analysis based on the eight genome segments, strain ITA/2005/horse/Bari was found to cluster with sub-lineage Florida 2 in the HA and M genes, whilst in the other genes it clustered with strains of the Eurasian lineage, revealing a multi-reassortant nature.
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Affiliation(s)
- Francesco Pellegrini
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Alessio Buonavoglia
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Ahmed H. Omar
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Georgia Diakoudi
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Maria S. Lucente
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Amienwanlen E. Odigie
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Alessio Sposato
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | | | - Michele Camero
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Nicola Decaro
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Gabriella Elia
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
| | - Krisztián Bányai
- Veterinary Medical Research Institute, 1143 Budapest, Hungary
- Department of Pharmacology and Toxicology, University of Veterinary Medicine, 1400 Budapest, Hungary
| | - Vito Martella
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
- Correspondence:
| | - Gianvito Lanave
- Department of Veterinary Medicine, University of Bari, 70010 Valenzano, Italy (G.L.)
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Nabakooza G, Galiwango R, Frost SDW, Kateete DP, Kitayimbwa JM. Molecular Epidemiology and Evolutionary Dynamics of Human Influenza Type-A Viruses in Africa: A Systematic Review. Microorganisms 2022; 10:900. [PMID: 35630344 PMCID: PMC9145646 DOI: 10.3390/microorganisms10050900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2022] [Revised: 03/21/2022] [Accepted: 03/22/2022] [Indexed: 02/01/2023] Open
Abstract
Genomic characterization of circulating influenza type-A viruses (IAVs) directs the selection of appropriate vaccine formulations and early detection of potentially pandemic virus strains. However, longitudinal data on the genomic evolution and transmission of IAVs in Africa are scarce, limiting Africa's benefits from potential influenza control strategies. We searched seven databases: African Journals Online, Embase, Global Health, Google Scholar, PubMed, Scopus, and Web of Science according to the PRISMA guidelines for studies that sequenced and/or genomically characterized Africa IAVs. Our review highlights the emergence and diversification of IAVs in Africa since 1993. Circulating strains continuously acquired new amino acid substitutions at the major antigenic and potential N-linked glycosylation sites in their hemagglutinin proteins, which dramatically affected vaccine protectiveness. Africa IAVs phylogenetically mixed with global strains forming strong temporal and geographical evolution structures. Phylogeographic analyses confirmed that viral migration into Africa from abroad, especially South Asia, Europe, and North America, and extensive local viral mixing sustained the genomic diversity, antigenic drift, and persistence of IAVs in Africa. However, the role of reassortment and zoonosis remains unknown. Interestingly, we observed substitutions and clades and persistent viral lineages unique to Africa. Therefore, Africa's contribution to the global influenza ecology may be understated. Our results were geographically biased, with data from 63% (34/54) of African countries. Thus, there is a need to expand influenza surveillance across Africa and prioritize routine whole-genome sequencing and genomic analysis to detect new strains early for effective viral control.
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Affiliation(s)
- Grace Nabakooza
- Department of Immunology and Molecular Biology, Makerere University, Old Mulago Hill Road, P.O. Box 7072, Kampala 256, Uganda
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda
| | - Ronald Galiwango
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda
- Centre for Computational Biology, Uganda Christian University, Plot 67-173, Bishop Tucker Road, P.O. Box 4, Mukono 256, Uganda
- African Center of Excellence in Bioinformatics and Data Intensive Sciences, Infectious Diseases Institute, Makerere University, Kampala 256, Uganda
| | - Simon D W Frost
- Microsoft Research, Redmond, 14820 NE 36th Street, Washington, DC 98052, USA
- London School of Hygiene & Tropical Medicine (LSHTM), University of London, Keppel Street, Bloomsbury, London WC1E7HT, UK
| | - David P Kateete
- Department of Immunology and Molecular Biology, Makerere University, Old Mulago Hill Road, P.O. Box 7072, Kampala 256, Uganda
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda
| | - John M Kitayimbwa
- UVRI Centre of Excellence in Infection and Immunity Research and Training (MUII-Plus), Makerere University, Plot No: 51-59 Nakiwogo Road, P.O. Box 49, Entebbe 256, Uganda
- Centre for Computational Biology, Uganda Christian University, Plot 67-173, Bishop Tucker Road, P.O. Box 4, Mukono 256, Uganda
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Influenza Vaccination Hesitancy among Healthcare Workers in South Al Batinah Governorate in Oman: A Cross-Sectional Study. Vaccines (Basel) 2020; 8:vaccines8040661. [PMID: 33172064 PMCID: PMC7712351 DOI: 10.3390/vaccines8040661] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 10/15/2020] [Accepted: 10/29/2020] [Indexed: 01/05/2023] Open
Abstract
Background: Seasonal influenza infections are a major cause of morbidity and mortality worldwide. Healthcare workers (HCWs) are an important target group for vaccination against influenza due to their increased risk of infection and their potential to transmit the infection to their patients, families and communities. The aim of this study was to assess the potential hesitancy and its associated factors towards influenza vaccination amongst HCWs in the South Al Batinah governorate in Oman. Methods: A cross-sectional survey of 390 HCWs with direct or indirect patient contact was conducted in May and June 2019 using a self-administered questionnaire. Associations between HCW characteristics and vaccination status were examined using bivariate and multivariate analyses to identify the likelihood of vaccination against seasonal influenza among HCWs. Results: Overall, 60% of HCWs were vaccinated in the 2018/2019 season; vaccine uptake among nurses was 52% and uptake was higher among women. Self-protection and protection of the community were the most cited reasons for vaccine acceptance, with side effects being the main reason for hesitancy. Vaccinated respondents had a higher mean knowledge score (7.18; standard deviation SD: 2.14) than unvaccinated respondents (6.30; SD: 2.2). Odds of vaccination were highest among respondents who believed influenza vaccine should be mandatory for HCWs (Odds ratio (OR): 2.04 [1.30–3.18]), those working in the general medicine, emergency medicine, or intensive care units (OR: 1.92 [1.20–3.10]), nurses and doctors (OR: 1.75 [1.09–2.79]) and those who believe that HCWs should receive an influenza vaccine (OR: 1.35 [1.07–2.77]). Conclusions: The study provides valuable insights into the enablers and barriers of influenza vaccination practices among HCWs and may inform interventions to increase acceptance of vaccination.
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Roy S, Hartley J, Dunn H, Williams R, Williams CA, Breuer J. Whole-genome Sequencing Provides Data for Stratifying Infection Prevention and Control Management of Nosocomial Influenza A. Clin Infect Dis 2020; 69:1649-1656. [PMID: 30993315 PMCID: PMC6821348 DOI: 10.1093/cid/ciz020] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2018] [Accepted: 01/24/2019] [Indexed: 12/13/2022] Open
Abstract
Background Influenza A virus causes annual epidemics in humans and is associated with significant morbidity and mortality. Haemagglutinin (HA) and neuraminidase (NA) gene sequencing have traditionally been used to identify the virus genotype, although their utility in detecting outbreak clusters is still unclear. The objective of this study was to determine the utility, if any, of whole-genome sequencing over HA/NA sequencing for infection prevention and control (IPC) in hospitals. Methods We obtained all clinical samples from influenza (H1N1)-positive patients at the Great Ormond Street Hospital between January and March 2016. Samples were sequenced using targeted enrichment on an Illumina MiSeq sequencer. Maximum likelihood trees were computed for both whole genomes and concatenated HA/NA sequences. Epidemiological data was taken from routine IPC team activity during the period. Results Complete genomes were obtained for 65/80 samples from 38 patients. Conventional IPC analysis recognized 1 outbreak, involving 3 children, and identified another potential cluster in the haemato-oncology ward. Whole-genome and HA/NA phylogeny both accurately identified the previously known outbreak cluster. However, HA/NA sequencing additionally identified unrelated strains as part of this outbreak cluster. A whole-genome analysis identified a further cluster of 2 infections that had been previously missed and refuted suspicions of transmission in the haemato-oncology wards. Conclusions Whole-genome sequencing is better at identifying outbreak clusters in a hospital setting than HA/NA sequencing. Whole-genome sequencing could provide a faster and more reliable method for outbreak monitoring and supplement routine IPC team work to allow the prevention of transmission.
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Affiliation(s)
- Sunando Roy
- Division of Infection and Immunity, University College London, United Kingdom
| | - John Hartley
- Great Ormond Street Hospital for Children, United Kingdom
| | - Helen Dunn
- Great Ormond Street Hospital for Children, United Kingdom
| | - Rachel Williams
- Division of Infection and Immunity, University College London, United Kingdom
| | | | - Judith Breuer
- Division of Infection and Immunity, University College London, United Kingdom.,Great Ormond Street Hospital for Children, United Kingdom.,Infection, Immunity, Inflammation and Physiological Medicine, Institute of Child Health, University College London, United Kingdom
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5
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Incidence and characteristics of nosocomial influenza in a country with low vaccine coverage. J Hosp Infect 2020; 105:619-624. [PMID: 32540461 DOI: 10.1016/j.jhin.2020.06.005] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Accepted: 06/03/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND Influenza vaccination coverage is low in France, in at-risk patients and in healthcare workers. AIM We aimed to estimate the incidence of nosocomial influenza, its characteristics and outcome. METHODS During one influenza season, we retrospectively evaluated all cases of documented influenza. Inpatients with symptoms onset ≥48 h after admission were enrolled. Data were collected on a standardized questionnaire. RESULTS From November 2017 to April 2018, 860 patients tested positive for influenza by polymerase chain reaction analysis on a respiratory sample. Among them, 204 (23.7%) were diagnosed ≥48 h after admission, of whom 57 (6.6% of all influenza cases) fulfilled inclusion criteria for nosocomial influenza: 26 women and 31 men, median age 82 years (interquartile range, 72.2-86.9). Twenty patients (38.6%) had recently (<6 months) received the seasonal influenza vaccine. Median time between admission and symptoms onset, and between symptoms onset and diagnosis were, respectively, 11 days (7-19.5) and 29 h (15.5-48). Influenza was mostly acquired in a double-bedded room (N = 39, 68.4%), with documented exposure in 14 cases. Influenza B virus was more common in nosocomial (46/57, 80.7%), than in community-acquired cases (359/803, 44.6%), P<0.001. Mortality rate at three months was 15.8% (N = 9). Incidence of nosocomial influenza was estimated at 0.22 per 1000 hospital-days during the study period. CONCLUSION Nosocomial influenza is not rare in elderly inpatients, and may have severe consequences. Influenza B virus was over-represented, which suggests higher transmissibility and/or transmission clusters.
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Blackburn RM, Frampton D, Smith CM, Fragaszy EB, Watson SJ, Ferns RB, Binter Š, Coen PG, Grant P, Shallcross LJ, Kozlakidis Z, Pillay D, Kellam P, Hué S, Nastouli E, Hayward AC. Nosocomial transmission of influenza: A retrospective cross-sectional study using next generation sequencing at a hospital in England (2012-2014). Influenza Other Respir Viruses 2019; 13:556-563. [PMID: 31536169 PMCID: PMC6800305 DOI: 10.1111/irv.12679] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Revised: 08/21/2019] [Accepted: 08/25/2019] [Indexed: 01/01/2023] Open
Abstract
BACKGROUND The extent of transmission of influenza in hospital settings is poorly understood. Next generation sequencing may improve this by providing information on the genetic relatedness of viral strains. OBJECTIVES We aimed to apply next generation sequencing to describe transmission in hospital and compare with methods based on routinely-collected data. METHODS All influenza samples taken through routine care from patients at University College London Hospitals NHS Foundation Trust (September 2012 to March 2014) were included. We conducted Illumina sequencing and identified genetic clusters. We compared nosocomial transmission estimates defined using classical methods (based on time from admission to sample) and genetic clustering. We identified pairs of cases with space-time links and assessed genetic relatedness. RESULTS We sequenced influenza sampled from 214 patients. There were 180 unique genetic strains, 16 (8.8%) of which seeded a new transmission chain. Nosocomial transmission was indicated for 32 (15.0%) cases using the classical definition and 34 (15.8%) based on genetic clustering. Of the 50 patients in a genetic cluster, 11 (22.0%) had known space-time links with other cases in the same cluster. Genetic distances between pairs of cases with space-time links were lower than for pairs without spatial links (P < .001). CONCLUSIONS Genetic data confirmed that nosocomial transmission contributes significantly to the hospital burden of influenza and elucidated transmission chains. Prospective next generation sequencing could support outbreak investigations and monitor the impact of infection and control measures.
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Affiliation(s)
| | | | | | - Ellen B. Fragaszy
- Institute of Health InformaticsUCLLondonUK
- Department of Infectious Disease EpidemiologyFaculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Simon J. Watson
- Wellcome Trust Sanger InstituteWellcome Trust Genome CampusHinxtonUK
| | - R. Bridget Ferns
- Clinical Microbiology and VirologyUniversity College London Hospitals NHS Foundation TrustLondonUK
| | - Špela Binter
- Wellcome Trust Sanger InstituteWellcome Trust Genome CampusHinxtonUK
| | - Pietro G. Coen
- Infection Control DepartmentUniversity College London HospitalsNHS Foundation TrustLondonUK
| | - Paul Grant
- Clinical Microbiology and VirologyUniversity College London Hospitals NHS Foundation TrustLondonUK
| | | | - Zisis Kozlakidis
- Institute of Health InformaticsUCLLondonUK
- International Agency for Research on CancerWorld Health OrganizationLyonFrance
| | - Deenan Pillay
- Division of Infection and ImmunityUCLLondonUK
- Africa Health Research InstituteDurbanSouth Africa
| | - Paul Kellam
- Wellcome Trust Sanger InstituteWellcome Trust Genome CampusHinxtonUK
| | - Stéphane Hué
- Department of Infectious Disease EpidemiologyFaculty of Epidemiology and Population HealthLondon School of Hygiene and Tropical MedicineLondonUK
| | - Eleni Nastouli
- Clinical Microbiology and VirologyUniversity College London Hospitals NHS Foundation TrustLondonUK
- Department of Population, Policy and PracticeUCL Institute of Child HealthLondonUK
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Egli A, Saalfrank C, Goldman N, Brunner M, Hollenstein Y, Vogel T, Augustin N, Wüthrich D, Seth-Smith HMB, Roth E, Syedbasha M, Mueller NF, Vogt D, Bauer J, Amar-Sliwa N, Meinel DM, Dubuis O, Naegele M, Tschudin-Sutter S, Buser A, Nickel CH, Zeller A, Ritz N, Battegay M, Stadler T, Schneider-Sliwa R. Identification of influenza urban transmission patterns by geographical, epidemiological and whole genome sequencing data: protocol for an observational study. BMJ Open 2019; 9:e030913. [PMID: 31434783 PMCID: PMC6707652 DOI: 10.1136/bmjopen-2019-030913] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/06/2023] Open
Abstract
INTRODUCTION Urban transmission patterns of influenza viruses are complex and poorly understood, and multiple factors may play a critical role in modifying transmission. Whole genome sequencing (WGS) allows the description of patient-to-patient transmissions at highest resolution. The aim of this study is to explore urban transmission patterns of influenza viruses in high detail by combining geographical, epidemiological and immunological data with WGS data. METHODS AND ANALYSIS The study is performed at the University Hospital Basel, University Children's Hospital Basel and a network of paediatricians and family doctors in the Canton of Basel-City, Switzerland. The retrospective study part includes an analysis of PCR-confirmed influenza cases from 2013 to 2018. The prospective study parts include (1) a household survey regarding influenza-like illness (ILI) and vaccination against influenza during the 2015/2016 season; (2) an analysis of influenza viruses collected during the 2016/2017 season using WGS-viral genomic sequences are compared with determine genetic relatedness and transmissions; and (3) measurement of influenza-specific antibody titres against all vaccinated and circulated strains during the 2016/2017 season from healthy individuals, allowing to monitor herd immunity across urban quarters. Survey data and PCR-confirmed cases are linked to data from the Statistics Office of the Canton Basel-City and visualised using geo-information system mapping. WGS data will be analysed in the context of patient epidemiological data using phylodynamic analyses, and the obtained herd immunity for each quarter. Profound knowledge on the key geographical, epidemiological and immunological factors influencing urban influenza transmission will help to develop effective counter measurements. ETHICS AND DISSEMINATION The study is registered and approved by the regional ethics committee as an observational study (EKNZ project ID 2015-363 and 2016-01735). It is planned to present the results at conferences and publish the data in scientific journals. TRIAL REGISTRATION NUMBER NCT03010007.
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Affiliation(s)
- Adrian Egli
- Clinical Microbiology, University Hospital Basel, Basel, Switzerland
- Biomedicine, University of Basel, Basel, Switzerland
- Clinical Research, University of Basel, Basel, Switzerland
| | - Claudia Saalfrank
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | - Nina Goldman
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | - Myrta Brunner
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | | | - Thomas Vogel
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | - Noémie Augustin
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | - Daniel Wüthrich
- Clinical Microbiology, University Hospital Basel, Basel, Switzerland
- Biomedicine, University of Basel, Basel, Switzerland
- Swiss Institute for Bioinformatics, Basel, Switzerland
| | - Helena M B Seth-Smith
- Clinical Microbiology, University Hospital Basel, Basel, Switzerland
- Swiss Institute for Bioinformatics, Basel, Switzerland
| | - Elisa Roth
- Clinical Microbiology, University Hospital Basel, Basel, Switzerland
- Biomedicine, University of Basel, Basel, Switzerland
| | | | - Nicola F Mueller
- Swiss Institute for Bioinformatics, Basel, Switzerland
- Biosystems Science and Engineering, ETH Zurich D-BSSE, Basel, Basel-Stadt, Switzerland
| | - Dominik Vogt
- Biomedicine, University of Basel, Basel, Switzerland
| | - Jan Bauer
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | - Nadezhda Amar-Sliwa
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
| | - Dominik M Meinel
- Clinical Microbiology, University Hospital Basel, Basel, Switzerland
- Biomedicine, University of Basel, Basel, Switzerland
| | - Olivier Dubuis
- Microbiology, Viollier AG, Allschwil, Basel-Landschaft, Switzerland
| | - Michael Naegele
- Microbiology, Viollier AG, Allschwil, Basel-Landschaft, Switzerland
| | - Sarah Tschudin-Sutter
- Clinical Research, University of Basel, Basel, Switzerland
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Andreas Buser
- Blood Donation Center of Both Basel, Basel, Switzerland
| | | | - Andreas Zeller
- Centre for Primary Health Care, University of Basel, Basel, Switzerland
| | - Nicole Ritz
- Pediatric Infectious Diseases and Vaccinology, UKBB Universitats-Kinderspital, Basel, Switzerland
| | - Manuel Battegay
- Clinical Research, University of Basel, Basel, Switzerland
- Infectious Diseases and Hospital Epidemiology, University Hospital Basel, Basel, Switzerland
| | - Tanja Stadler
- Swiss Institute for Bioinformatics, Basel, Switzerland
- Biosystems Science and Engineering, ETH Zurich D-BSSE, Basel, Basel-Stadt, Switzerland
| | - Rita Schneider-Sliwa
- Human Geography, Department of Environmental Science, University of Basel, Basel, Switzerland
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Jenkin DC, Mahgoub H, Morales KF, Lambach P, Nguyen-Van-Tam JS. A rapid evidence appraisal of influenza vaccination in health workers: An important policy in an area of imperfect evidence. Vaccine X 2019; 2:100036. [PMID: 31384750 PMCID: PMC6668237 DOI: 10.1016/j.jvacx.2019.100036] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 07/04/2019] [Accepted: 07/05/2019] [Indexed: 11/21/2022] Open
Abstract
INTRODUCTION The World Health Organization recommends vaccination of health workers (HWs) against influenza, but low uptake is intransigent.We conducted a Rapid Evidence Appraisal on: the risk of influenza in HWs, transmission risk from HWs to patients, the benefit of HW vaccination, and strategies for improving uptake. We aimed to capture a 'whole-of-system' perspective to consider possible benefits for HWs, employers and patients. METHODS We executed a comprehensive search of the available literature published from 2006 to 2018 in the English language. We developed search terms for seven separate questions following the PICO framework (population, intervention, comparators, outcomes) and queried nine databases. RESULTS Of 3784 publications identified, 52 met inclusion criteria. Seven addressed HW influenza risk, of which four found increased risk; 15 addressed influenza vaccine benefit to HWs or their employers, of which 10 found benefit; 11 addressed influenza transmission from HWs to patients, of which 6 found evidence for transmission; 12 unique studies addressed whether vaccinating HWs produced patient benefit, of which 9 concluded benefits accrued. Regarding the number of HWs needed to vaccinate (NNV) to deliver patient benefit, NNV estimates ranged from 3 to 36,000 but were in significant disagreement. Fourteen studies provided insights on strategies to improve uptake; the strongest evidence was for mandatory vaccination. CONCLUSIONS The evidence on most questions related to influenza vaccination in HWs is mixed and often of low-quality. Substantial heterogeneity exists in terms of study designs and settings, making comparison between studies difficult. Notwithstanding these limitations, a majority of studies suggests that influenza vaccination benefit HWs and their employers; and HWs are implicated in transmission events. The effects of vaccinating HWs on patient morbidity and mortality may include reductions in all-cause mortality and influenza-like illness (ILI). Taken together, the evidence suggests that HW vaccination is an important policy for HWs themselves, their employers, and their patients.
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Key Words
- GAVI, the global alliance for vaccines and immunization
- HW, health workers
- Health worker
- Healthcare
- ILI, influenza like illness
- Influenza
- LTCF, long-term care facility(ies)
- NNV, number needed to vaccinate
- OR, odds ratio
- Policy
- RCTs, randomised controlled trials
- RR, relative risk
- Transmission
- Vaccine
- WHO, World Health organization
- cRCTs, clustered randomised controlled trials
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Affiliation(s)
- Dawn C. Jenkin
- Health Protection and Influenza Research Group (WHO Collaborating Centre), University of Nottingham School of Medicine, United Kingdom
| | - Hamid Mahgoub
- East of England Health Protection Team, Public Health England, United Kingdom
| | | | | | - Jonathan S. Nguyen-Van-Tam
- Health Protection and Influenza Research Group (WHO Collaborating Centre), University of Nottingham School of Medicine, United Kingdom
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Evaluation of two workflows for whole genome sequencing-based typing of influenza A viruses. J Virol Methods 2019; 266:30-33. [PMID: 30677464 DOI: 10.1016/j.jviromet.2019.01.009] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2018] [Revised: 01/04/2019] [Accepted: 01/17/2019] [Indexed: 12/20/2022]
Abstract
We compared two sample preparation protocols for whole genome sequencing of influenza A viruses. Each protocol was assessed using cDNA quantity and quality and the resulting mean genome coverage after sequencing. Both protocols produced acceptable result for samples with high viral load, whereas one protocol performed slightly better with limited virus count.
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Abstract
PURPOSE OF REVIEW The prevalence and incidence of viral nosocomial influenza infections in healthcare settings are underestimated. Nosocomial influenza outbreaks are frequent, and control remains challenging in acute care and long-term healthcare settings. This review examines recent publications on the determinants of nosocomial influenza prevention and control. RECENT FINDINGS Nosocomial influenza outbreaks occur in various healthcare settings, especially among the frail and elderly. The correct diagnosis is commonly missed because a substantial proportion of asymptomatic cases can transmit infections. Rapid diagnosis will facilitate rapid identification of cases and the implementation of control measures but needs confirmation in some circumstances, such as the description of transmission chains. Links between patients and healthcare personnel (HCP) have been well explored by phylogenetic virus characterization and need additional refinement and study. The preventive role of HCP vaccination in influenza incidence among patients should be investigated further in various settings to take into account different strategies for vaccination (i.e. voluntary or mandatory vaccination policies). Indeed, in Europe, influenza vaccination remains modest, whereas in North America hospitals and some states and provinces are now mandating influenza vaccination among HCP. The variability of vaccine effectiveness by seasonal epidemics is also an important consideration for control strategies. SUMMARY When influenza cases occur in the community, the risk of transmission and nosocomial cases increase in healthcare settings requiring vigilance among staff. Surveillance and early warning systems should be encouraged. Outbreak control needs appropriate identification of cases and transmission chains, and rapid implementation of control measures. Vaccination policies in conjunction with appropriate infection control measures could reduce virus spreading in hospitals. HCP vaccination coverage must be improved.
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Houghton R, Ellis J, Galiano M, Clark TW, Wyllie S. Haemagglutinin and neuraminidase sequencing delineate nosocomial influenza outbreaks with accuracy equivalent to whole genome sequencing. J Infect 2017; 74:377-384. [PMID: 28104386 DOI: 10.1016/j.jinf.2016.12.015] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2016] [Revised: 11/21/2016] [Accepted: 12/19/2016] [Indexed: 01/02/2023]
Abstract
OBJECTIVES We describe haemagglutinin (HA) and neuraminidase (NA) sequencing in an apparent cross-site influenza A(H1N1) outbreak in renal transplant and haemodialysis patients, confirmed with whole genome sequencing (WGS). METHODS Isolates were sequenced from influenza positive individuals. Phylogenetic trees were constructed using HA and NA sequencing and subsequently WGS. Sequence data was analysed to determine genetic relatedness of viruses obtained from inpatient and outpatient cohorts and compared with epidemiological outbreak information. RESULTS There were 6 patient cases of influenza in the inpatient renal ward cohort (associated with 3 deaths) and 9 patient cases in the outpatient haemodialysis unit cohort (no deaths). WGS confirmed clustered transmission of two genetically different influenza A(H1N1)pdm09 strains initially identified by analysis of HA and NA genes. WGS took longer, and in this case was not required to determine whether or not the two seemingly linked outbreaks were related. CONCLUSION Rapid sequencing of HA and NA genes may be sufficient to aid early influenza outbreak investigation making it appealing for future outbreak investigation. However, as next generation sequencing becomes cheaper and more widely available and bioinformatics software is now freely accessible next generation whole genome analysis may increasingly become a valuable tool for real-time Influenza outbreak investigation.
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Affiliation(s)
- Rebecca Houghton
- Department of Infection, Southampton University Hospital NHS Trust, Public Health England Laboratory, Southampton, England, SO16 6YD, UK.
| | - Joanna Ellis
- Respiratory Virus Unit, Public Health England, London, NW9 5EQ, UK
| | - Monica Galiano
- Respiratory Virus Unit, Public Health England, London, NW9 5EQ, UK
| | - Tristan W Clark
- Department of Clinical and Experimental Sciences, University of Southampton and NIHR Respiratory Biomedical Research Unit, Southampton, England, SO16 6YD, UK
| | - Sarah Wyllie
- Microbiology Department, Queen Alexandra Hospital, Portsmouth, England, PO6 3LY, UK
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