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Carnegie L, Raghwani J, Fournié G, Hill SC. Phylodynamic approaches to studying avian influenza virus. Avian Pathol 2023; 52:289-308. [PMID: 37565466 DOI: 10.1080/03079457.2023.2236568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/23/2023] [Accepted: 07/07/2023] [Indexed: 08/12/2023]
Abstract
Avian influenza viruses can cause severe disease in domestic and wild birds and are a pandemic threat. Phylodynamics is the study of how epidemiological, evolutionary, and immunological processes can interact to shape viral phylogenies. This review summarizes how phylodynamic methods have and could contribute to the study of avian influenza viruses. Specifically, we assess how phylodynamics can be used to examine viral spread within and between wild or domestic bird populations at various geographical scales, identify factors associated with virus dispersal, and determine the order and timing of virus lineage movement between geographic regions or poultry production systems. We discuss factors that can complicate the interpretation of phylodynamic results and identify how future methodological developments could contribute to improved control of the virus.
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Affiliation(s)
- L Carnegie
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
| | - J Raghwani
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
| | - G Fournié
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
- Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, Marcy l'Etoile, France
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, Saint Genes Champanelle, France
| | - S C Hill
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
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Patyk KA, Fields VL, Beam AL, Branan MA, McGuigan RE, Green A, Torchetti MK, Lantz K, Freifeld A, Marshall K, Delgado AH. Investigation of risk factors for introduction of highly pathogenic avian influenza H5N1 infection among commercial turkey operations in the United States, 2022: a case-control study. Front Vet Sci 2023; 10:1229071. [PMID: 37711433 PMCID: PMC10498466 DOI: 10.3389/fvets.2023.1229071] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 08/14/2023] [Indexed: 09/16/2023] Open
Abstract
Introduction The 2022-2023 highly pathogenic avian influenza (HPAI) H5N1 outbreak in the United States (U.S.) is the largest and most costly animal health event in U.S. history. Approximately 70% of commercial farms affected during this outbreak have been turkey farms. Methods We conducted a case-control study to identify potential risk factors for introduction of HPAI virus onto commercial meat turkey operations. Data were collected from 66 case farms and 59 control farms in 12 states. Univariate and multivariable analyses were conducted to compare management and biosecurity factors on case and control farms. Results Factors associated with increased risk of infection included being in an existing control zone, having both brooders and growers, having toms, seeing wild waterfowl or shorebirds in the closest field, and using rendering for dead bird disposal. Protective factors included having a restroom facility, including portable, available to crews that visit the farm and workers having access and using a shower at least some of the time when entering a specified barn. Discussion Study results provide a better understanding of risk factors for HPAI infection and can be used to inform prevention and control measures for HPAI on U.S. turkey farms.
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Affiliation(s)
- Kelly A. Patyk
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Victoria L. Fields
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Andrea L. Beam
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Matthew A. Branan
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Rachel E. McGuigan
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Alice Green
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Mia K. Torchetti
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, United States Department of Agriculture, Ames, IA, United States
| | - Kristina Lantz
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, United States Department of Agriculture, Ames, IA, United States
| | - Alexis Freifeld
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Katherine Marshall
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Amy H. Delgado
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
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Green AL, Branan M, Fields VL, Patyk K, Kolar SK, Beam A, Marshall K, McGuigan R, Vuolo M, Freifeld A, Torchetti MK, Lantz K, Delgado AH. Investigation of risk factors for introduction of highly pathogenic avian influenza H5N1 virus onto table egg farms in the United States, 2022: a case-control study. Front Vet Sci 2023; 10:1229008. [PMID: 37559891 PMCID: PMC10408129 DOI: 10.3389/fvets.2023.1229008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Accepted: 07/11/2023] [Indexed: 08/11/2023] Open
Abstract
INTRODUCTION The 2022-2023 highly pathogenic avian influenza (HPAI) H5N1 outbreak in the United States (U.S.) is the most geographically extensive and costly animal health event in U.S. history. In 2022 alone, over 57 million commercial and backyard poultry in 47 U.S. states were affected. Over 75% of affected poultry were part of the commercial table egg production sector. METHODS We conducted a case-control study to identify potential risk factors for introduction of HPAI virus onto commercial table egg operations. Univariate and multivariable analyses were conducted to compare farm characteristics, management, and biosecurity factors on case and control farms. RESULTS Factors associated with increased risk of infection included being in an existing control zone, sightings of wild waterfowl, mowing or bush hogging vegetation less than 4 times a month, having an off-site method of daily mortality disposal (off-site composting or burial, rendering, or landfill), and wild bird access to feed/feed ingredients at least some of the time. Protective factors included a high level of vehicle washing for trucks and trailers entering the farm (a composite variable that included having a permanent wash station), having designated personnel assigned to specific barns, having a farm entrance gate, and requiring a change of clothing for workers entering poultry barns. DISCUSSION Study results improve our understanding of risk factors for HPAI infection and control measures for preventing HPAI on commercial U.S. table egg farms.
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Affiliation(s)
- Alice L. Green
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Matthew Branan
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Victoria L. Fields
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Kelly Patyk
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Stephanie K. Kolar
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Andrea Beam
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Katherine Marshall
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Rachel McGuigan
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Matthew Vuolo
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Alexis Freifeld
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
| | - Mia Kim Torchetti
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, United States Department of Agriculture, Ames, IA, United States
| | - Kristina Lantz
- National Veterinary Services Laboratories, Animal and Plant Health Inspection Service, United States Department of Agriculture, Ames, IA, United States
| | - Amy H. Delgado
- Center for Epidemiology and Animal Health, Animal and Plant Health Inspection Service, United States Department of Agriculture, Fort Collins, CO, United States
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Guinat C, Valenzuela Agüí C, Vaughan TG, Scire J, Pohlmann A, Staubach C, King J, Świętoń E, Dán Á, Černíková L, Ducatez MF, Stadler T. Disentangling the role of poultry farms and wild birds in the spread of highly pathogenic avian influenza virus in Europe. Virus Evol 2022; 8:veac073. [PMID: 36533150 PMCID: PMC9752641 DOI: 10.1093/ve/veac073] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Revised: 07/21/2022] [Accepted: 08/18/2022] [Indexed: 08/12/2023] Open
Abstract
In winter 2016-7, Europe was severely hit by an unprecedented epidemic of highly pathogenic avian influenza viruses (HPAIVs), causing a significant impact on animal health, wildlife conservation, and livestock economic sustainability. By applying phylodynamic tools to virus sequences collected during the epidemic, we investigated when the first infections occurred, how many infections were unreported, which factors influenced virus spread, and how many spillover events occurred. HPAIV was likely introduced into poultry farms during the autumn, in line with the timing of wild birds' migration. In Germany, Hungary, and Poland, the epidemic was dominated by farm-to-farm transmission, showing that understanding of how farms are connected would greatly help control efforts. In the Czech Republic, the epidemic was dominated by wild bird-to-farm transmission, implying that more sustainable prevention strategies should be developed to reduce HPAIV exposure from wild birds. Inferred transmission parameters will be useful to parameterize predictive models of HPAIV spread. None of the predictors related to live poultry trade, poultry census, and geographic proximity were identified as supportive predictors of HPAIV spread between farms across borders. These results are crucial to better understand HPAIV transmission dynamics at the domestic-wildlife interface with the view to reduce the impact of future epidemics.
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Affiliation(s)
- Claire Guinat
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse, Basel 4058, Switzerland
- Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne 1015, Switzerland
| | - Cecilia Valenzuela Agüí
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse, Basel 4058, Switzerland
- Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne 1015, Switzerland
| | - Timothy G Vaughan
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse, Basel 4058, Switzerland
- Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne 1015, Switzerland
| | - Jérémie Scire
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse, Basel 4058, Switzerland
- Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne 1015, Switzerland
| | - Anne Pohlmann
- Friedrich-Loeffler-Institut, Suedufer 10, Greifswald – Insel Riems 17489, Germany
| | - Christoph Staubach
- Friedrich-Loeffler-Institut, Suedufer 10, Greifswald – Insel Riems 17489, Germany
| | - Jacqueline King
- Friedrich-Loeffler-Institut, Suedufer 10, Greifswald – Insel Riems 17489, Germany
| | - Edyta Świętoń
- Department of Poultry Diseases, National Veterinary Research Institute, Al. Partyzantow 57, Pulawy 24-100, Poland
| | - Ádám Dán
- DaNAm Vet Molbiol, Herman Ottó utca 5, Kőszeg 9730, Hungary
| | - Lenka Černíková
- State Veterinary Institute Prague, Sidlistni 136/24, Prague 165 03, Czech Republic
| | - Mariette F Ducatez
- IHAP, Université de Toulouse, INRAE, ENVT, 23 chemin des capelles, Toulouse 31076, France
| | - Tanja Stadler
- Department of Biosystems Science and Engineering, ETH Zurich, Mattenstrasse, Basel 4058, Switzerland
- Swiss Institute of Bioinformatics, Quartier Sorge, Lausanne 1015, Switzerland
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Castro-Sanguinetti GR, Marques Simas PV, Apaza-Chiara AP, Callupe-Leyva JA, Rondon-Espinoza JA, Gavidia CM, More-Bayona JA, Gonzalez Veliz RI, Vakharia VN, Icochea ME. Genetic subtyping and phylogenetic analysis of HA and NA from avian influenza virus in wild birds from Peru reveals unique features among circulating strains in America. PLoS One 2022; 17:e0268957. [PMID: 35671300 PMCID: PMC9173603 DOI: 10.1371/journal.pone.0268957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 05/12/2022] [Indexed: 11/30/2022] Open
Abstract
Avian influenza virus (AIV) represents a major concern with productive implications in poultry systems but it is also a zoonotic agent that possesses an intrinsic pandemic risk. AIV is an enveloped, negative-sense and single-stranded RNA virus with a segmented genome. The eight genomic segments, comprising the whole genome, encode for eleven proteins. Within these proteins, Hemagglutinin (HA) and Neuraminidase (NA) are the most relevant for studies of evolution and pathogenesis considering their role in viral replication, and have also been used for classification purposes. Migratory birds are the main hosts and play a pivotal role in viral evolution and dissemination due to their migratory routes that comprise large regions worldwide. Altogether, viral and reservoir factors contribute to the emergence of avian influenza viruses with novel features and pathogenic potentials. The study aimed to conduct surveillance of AIVs in wild birds from Peru. A multi-site screening of feces of migratory birds was performed to isolate viruses and to characterize the whole genome sequences, especially the genes coding for HA and NA proteins. Four-hundred-twenty-one (421) fecal samples, collected between March 2019 and March 2020 in Lima, were obtained from 21 species of wild birds. From these, we isolated five AIV from whimbrel, kelp gull, Franklin’s gulls and Mallard, which were of low pathogenicity, including four subtypes as H6N8, H13N6, H6N2 and H2N6. Genetic analysis of HA and NA genes revealed novel features in these viruses and phylogenetic analysis exhibited a close relationship with those identified in North America (US and Canada). Furthermore, H2N6 isolate presented a NA sequence with higher genetic relationship to Chilean isolates. These results highlight that the geographical factor is of major relevance in the evolution of AIV, suggesting that AIV circulating in Peru might represent a new site for the emergence of reassortant AIVs.
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Affiliation(s)
- Gina R. Castro-Sanguinetti
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Paulo Vitor Marques Simas
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Ana Paola Apaza-Chiara
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Jose Alonso Callupe-Leyva
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Juan Alexander Rondon-Espinoza
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Cesar M. Gavidia
- Laboratory of Epidemiology and Veterinary Economy, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Juan Anderson More-Bayona
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
- Laboratory of Microbiology and Parasitology, Virology Section, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Rosa Isabel Gonzalez Veliz
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
| | - Vikram N. Vakharia
- Institute of Marine & Environmental Technology, University of Maryland, Baltimore County, Baltimore, MD, United States of America
| | - Maria Eliana Icochea
- Laboratory of Avian Pathology, Faculty of Veterinary Medicine, Universidad Nacional Mayor de San Marcos, Lima, Lima, Peru
- * E-mail:
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Hall JS, Grear DA, Krauss S, Seiler JP, Dusek RJ, Nashold SW, Webster RG. Highly pathogenic avian influenza virus H5N2 (clade 2.3.4.4) challenge of mallards age appropriate to the 2015 midwestern poultry outbreak. Influenza Other Respir Viruses 2021; 15:767-777. [PMID: 34323380 PMCID: PMC8542950 DOI: 10.1111/irv.12886] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2021] [Revised: 06/16/2021] [Accepted: 06/20/2021] [Indexed: 11/29/2022] Open
Abstract
Background The 2015 highly pathogenic avian influenza virus (HPAIV) H5N2 clade 2.3.4.4 outbreak in upper midwestern U.S. poultry operations was not detected in wild birds to any great degree during the outbreak, despite wild waterfowl being implicated in the introduction, reassortment, and movement of the virus into North America from Asia. This outbreak led to the demise of over 50 million domestic birds and occurred mainly during the northward spring migration of adult avian populations. Objectives There have been no experimental examinations of the pathogenesis, transmission, and population impacts of this virus in adult wild waterfowl with varying exposure histories—the most relevant age class. Methods We captured, housed, and challenged adult wild mallards (Anas platyrhynchos) with HPAIV H5N2 clade 2.3.4.4 and measured viral infection, viral excretion, and transmission to other mallards. Results All inoculated birds became infected and excreted moderate amounts of virus, primarily orally, for up to 14 days. Cohoused, uninoculated birds also all became infected. Serological status had no effect on susceptibility. There were no obvious clinical signs of disease, and all birds survived to the end of the study (14 days). Conclusions Based on these results, adult mallards are viable hosts of HPAIV H5N2 regardless of prior exposure history and are capable of transporting the virus over short and long distances. These findings have implications for surveillance efforts. The capture and sampling of wild waterfowl in the spring, when most surveillance programs are not operating, are important to consider in the design of future HPAIV surveillance programs.
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Affiliation(s)
- Jeffrey S Hall
- United States Geological Survey, National Wildlife Health Center, Madison, WI, USA
| | - Daniel A Grear
- United States Geological Survey, National Wildlife Health Center, Madison, WI, USA
| | - Scott Krauss
- Infectious Disease Department, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - J Patrick Seiler
- Infectious Disease Department, St. Jude Children's Research Hospital, Memphis, TN, USA
| | - Robert J Dusek
- United States Geological Survey, National Wildlife Health Center, Madison, WI, USA
| | - Sean W Nashold
- United States Geological Survey, National Wildlife Health Center, Madison, WI, USA
| | - Robert G Webster
- Infectious Disease Department, St. Jude Children's Research Hospital, Memphis, TN, USA
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Guinat C, Vergne T, Kocher A, Chakraborty D, Paul MC, Ducatez M, Stadler T. What can phylodynamics bring to animal health research? Trends Ecol Evol 2021; 36:837-847. [PMID: 34034912 DOI: 10.1016/j.tree.2021.04.013] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/22/2021] [Accepted: 04/29/2021] [Indexed: 11/18/2022]
Abstract
Infectious diseases are a major burden to global economies, and public and animal health. To date, quantifying the spread of infectious diseases to inform policy making has traditionally relied on epidemiological data collected during epidemics. However, interest has grown in recent phylodynamic techniques to infer pathogen transmission dynamics from genetic data. Here, we provide examples of where this new discipline has enhanced disease management in public health and illustrate how it could be further applied in animal health. In particular, we describe how phylodynamics can address fundamental epidemiological questions, such as inferring key transmission parameters in animal populations and quantifying spillover events at the wildlife-livestock interface, and generate important insights for the design of more effective control strategies.
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Affiliation(s)
- Claire Guinat
- Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland.
| | - Timothee Vergne
- IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France
| | - Arthur Kocher
- Transmission, Infection, Diversification & Evolution (tide) group, Max Planck Institute for the Science of Human History, Kahlaische str. 10, 07745 Jena, Germany
| | - Debapryio Chakraborty
- IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France
| | - Mathilde C Paul
- IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France
| | - Mariette Ducatez
- IHAP, Université de Toulouse, INRAE, ENVT, 23 Chemin des Capelles, 31300 Toulouse, France
| | - Tanja Stadler
- Department of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland; Swiss Institute of Bioinformatics (SIB), Lausanne, Switzerland
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Fitak RR, Antonides JD, Baitchman EJ, Bonaccorso E, Braun J, Kubiski S, Chiu E, Fagre AC, Gagne RB, Lee JS, Malmberg JL, Stenglein MD, Dusek RJ, Forgacs D, Fountain-Jones NM, Gilbertson MLJ, Worsley-Tonks KEL, Funk WC, Trumbo DR, Ghersi BM, Grimaldi W, Heisel SE, Jardine CM, Kamath PL, Karmacharya D, Kozakiewicz CP, Kraberger S, Loisel DA, McDonald C, Miller S, O'Rourke D, Ott-Conn CN, Páez-Vacas M, Peel AJ, Turner WC, VanAcker MC, VandeWoude S, Pecon-Slattery J. The Expectations and Challenges of Wildlife Disease Research in the Era of Genomics: Forecasting with a Horizon Scan-like Exercise. J Hered 2020; 110:261-274. [PMID: 31067326 DOI: 10.1093/jhered/esz001] [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: 05/02/2018] [Accepted: 01/08/2019] [Indexed: 12/14/2022] Open
Abstract
The outbreak and transmission of disease-causing pathogens are contributing to the unprecedented rate of biodiversity decline. Recent advances in genomics have coalesced into powerful tools to monitor, detect, and reconstruct the role of pathogens impacting wildlife populations. Wildlife researchers are thus uniquely positioned to merge ecological and evolutionary studies with genomic technologies to exploit unprecedented "Big Data" tools in disease research; however, many researchers lack the training and expertise required to use these computationally intensive methodologies. To address this disparity, the inaugural "Genomics of Disease in Wildlife" workshop assembled early to mid-career professionals with expertise across scientific disciplines (e.g., genomics, wildlife biology, veterinary sciences, and conservation management) for training in the application of genomic tools to wildlife disease research. A horizon scanning-like exercise, an activity to identify forthcoming trends and challenges, performed by the workshop participants identified and discussed 5 themes considered to be the most pressing to the application of genomics in wildlife disease research: 1) "Improving communication," 2) "Methodological and analytical advancements," 3) "Translation into practice," 4) "Integrating landscape ecology and genomics," and 5) "Emerging new questions." Wide-ranging solutions from the horizon scan were international in scope, itemized both deficiencies and strengths in wildlife genomic initiatives, promoted the use of genomic technologies to unite wildlife and human disease research, and advocated best practices for optimal use of genomic tools in wildlife disease projects. The results offer a glimpse of the potential revolution in human and wildlife disease research possible through multi-disciplinary collaborations at local, regional, and global scales.
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Affiliation(s)
| | - Jennifer D Antonides
- Department of Forestry & Natural Resources, Purdue University, West Lafayette, IN
| | - Eric J Baitchman
- The Zoo New England Division of Animal Health and Conservation, Boston, MA
| | - Elisa Bonaccorso
- The Instituto BIOSFERA and Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, vía Interoceánica y Diego de Robles, Quito, Ecuador
| | - Josephine Braun
- The Institute for Conservation Research, San Diego Zoo Global, Escondido, CA
| | - Steven Kubiski
- The Institute for Conservation Research, San Diego Zoo Global, Escondido, CA
| | - Elliott Chiu
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO
| | - Anna C Fagre
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO
| | - Roderick B Gagne
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO
| | - Justin S Lee
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO
| | - Jennifer L Malmberg
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO
| | - Mark D Stenglein
- Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, CO
| | - Robert J Dusek
- The U. S. Geological Survey, National Wildlife Health Center, Madison, WI
| | - David Forgacs
- The Interdisciplinary Graduate Program of Genetics, Texas A&M University, College Station, TX
| | | | - Marie L J Gilbertson
- The Department of Veterinary Population Medicine, University of Minnesota, St. Paul, MN
| | | | - W Chris Funk
- The Department of Biology, Colorado State University, Fort Collins, CO
| | - Daryl R Trumbo
- The Department of Biology, Colorado State University, Fort Collins, CO
| | | | | | - Sara E Heisel
- The Odum School of Ecology, University of Georgia, Athens, GA
| | - Claire M Jardine
- The Department of Pathobiology, Canadian Wildlife Health Cooperative, University of Guelph, Guelph, Ontario, Canada
| | - Pauline L Kamath
- The School of Food and Agriculture, University of Maine, Orono, ME
| | | | | | - Simona Kraberger
- The Biodesign Center for Fundamental and Applied Microbiomics, Center for Evolution and Medicine, School of Life Sciences, Arizona State University, Tempe, AZ
| | - Dagan A Loisel
- The Department of Biology, Saint Michael's College, Colchester, VT
| | - Cait McDonald
- The Department of Ecology & Evolutionary Biology, Cornell University, Ithaca, NY (McDonald)
| | - Steven Miller
- The Department of Biology, Drexel University, Philadelphia, PA
| | | | - Caitlin N Ott-Conn
- The Michigan Department of Natural Resources, Wildlife Disease Laboratory, Lansing, MI
| | - Mónica Páez-Vacas
- The Centro de Investigación de la Biodiversidad y Cambio Climático (BioCamb), Facultad de Ciencias de Medio Ambiente, Universidad Tecnológica Indoamérica, Machala y Sabanilla, Quito, Ecuador
| | - Alison J Peel
- The Environmental Futures Research Institute, Griffith University, Nathan, Queensland, Australia
| | - Wendy C Turner
- The Department of Biological Sciences, University at Albany, State University of New York, Albany, NY
| | - Meredith C VanAcker
- The Department of Ecology, Evolution, and Environmental Biology, Columbia University, New York, NY
| | - Sue VandeWoude
- The College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO
| | - Jill Pecon-Slattery
- The Center for Species Survival, Smithsonian Conservation Biology Institute-National Zoological Park, Front Royal, VA
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Hill SC, Hansen R, Watson S, Coward V, Russell C, Cooper J, Essen S, Everest H, Parag KV, Fiddaman S, Reid S, Lewis N, Brookes SM, Smith AL, Sheldon B, Perrins CM, Brown IH, Pybus OG. Comparative micro-epidemiology of pathogenic avian influenza virus outbreaks in a wild bird population. Philos Trans R Soc Lond B Biol Sci 2020; 374:20180259. [PMID: 31056057 PMCID: PMC6553603 DOI: 10.1098/rstb.2018.0259] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
Understanding the epidemiological dynamics of highly pathogenic avian influenza virus (HPAIV) in wild birds is crucial for guiding effective surveillance and control measures. The spread of H5 HPAIV has been well characterized over large geographical and temporal scales. However, information about the detailed dynamics and demographics of individual outbreaks in wild birds is rare and important epidemiological parameters remain unknown. We present data from a wild population of long-lived birds (mute swans; Cygnus olor) that has experienced three outbreaks of related H5 HPAIVs in the past decade, specifically, H5N1 (2007), H5N8 (2016) and H5N6 (2017). Detailed demographic data were available and intense sampling was conducted before and after the outbreaks; hence the population is unusually suitable for exploring the natural epidemiology, evolution and ecology of HPAIV in wild birds. We show that key epidemiological features remain remarkably consistent across multiple outbreaks, including the timing of virus incursion and outbreak duration, and the presence of a strong age-structure in morbidity that likely arises from an equivalent age-structure in immunological responses. The predictability of these features across a series of outbreaks in a complex natural population is striking and contributes to our understanding of HPAIV in wild birds. This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’. This issue is linked with the subsequent theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’.
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Affiliation(s)
- Sarah C Hill
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Rowena Hansen
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Samantha Watson
- 2 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Vivien Coward
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Christine Russell
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Jayne Cooper
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Steve Essen
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Holly Everest
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Kris V Parag
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Steven Fiddaman
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Scott Reid
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Nicola Lewis
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK.,4 The Royal Veterinary College , Royal College Street, London , UK
| | - Sharon M Brookes
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Adrian L Smith
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Ben Sheldon
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK.,2 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Christopher M Perrins
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK.,2 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
| | - Ian H Brown
- 3 Department of Virology, Animal and Plant Health Agency - Weybridge , Woodham Lane, New Haw, Addlestone, Surrey KT15 3NB , UK
| | - Oliver G Pybus
- 1 Department of Zoology, Edward Grey Institute, University of Oxford , Oxford , UK
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10
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Humphreys JM, Ramey AM, Douglas DC, Mullinax JM, Soos C, Link P, Walther P, Prosser DJ. Waterfowl occurrence and residence time as indicators of H5 and H7 avian influenza in North American Poultry. Sci Rep 2020; 10:2592. [PMID: 32054908 PMCID: PMC7018751 DOI: 10.1038/s41598-020-59077-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2019] [Accepted: 01/15/2020] [Indexed: 01/25/2023] Open
Abstract
Avian influenza (AI) affects wild aquatic birds and poses hazards to human health, food security, and wildlife conservation globally. Accordingly, there is a recognized need for new methods and tools to help quantify the dynamic interaction between wild bird hosts and commercial poultry. Using satellite-marked waterfowl, we applied Bayesian joint hierarchical modeling to concurrently model species distributions, residency times, migration timing, and disease occurrence probability under an integrated animal movement and disease distribution modeling framework. Our results indicate that migratory waterfowl are positively related to AI occurrence over North America such that as waterfowl occurrence probability or residence time increase at a given location, so too does the chance of a commercial poultry AI outbreak. Analyses also suggest that AI occurrence probability is greatest during our observed waterfowl northward migration, and less during the southward migration. Methodologically, we found that when modeling disparate facets of disease systems at the wildlife-agriculture interface, it is essential that multiscale spatial patterns be addressed to avoid mistakenly inferring a disease process or disease-environment relationship from a pattern evaluated at the improper spatial scale. The study offers important insights into migratory waterfowl ecology and AI disease dynamics that aid in better preparing for future outbreaks.
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Affiliation(s)
- John M Humphreys
- Michigan State University, East Lansing, Michigan, USA.
- U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, Maryland, USA.
| | - Andrew M Ramey
- U.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, USA
| | - David C Douglas
- U.S. Geological Survey, Alaska Science Center, Anchorage, Alaska, USA
| | | | - Catherine Soos
- Environment and Climate Change Canada, Ecotoxicology and Wildlife Health Division, Saskatchewan, Canada
| | - Paul Link
- Louisiana Department of Wildlife and Fisheries, Baton Rouge, Louisiana, USA
| | - Patrick Walther
- U.S. Fish and Wildlife Service, Texas Chenier Plain Refuge Complex, Anahuac, Texas, USA
| | - Diann J Prosser
- U.S. Geological Survey, Patuxent Wildlife Research Center, Laurel, Maryland, USA
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11
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Hicks JT, Lee DH, Duvvuri VR, Kim Torchetti M, Swayne DE, Bahl J. Agricultural and geographic factors shaped the North American 2015 highly pathogenic avian influenza H5N2 outbreak. PLoS Pathog 2020; 16:e1007857. [PMID: 31961906 PMCID: PMC7004387 DOI: 10.1371/journal.ppat.1007857] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2019] [Revised: 02/06/2020] [Accepted: 01/04/2020] [Indexed: 11/18/2022] Open
Abstract
The 2014-2015 highly pathogenic avian influenza (HPAI) H5NX outbreak represents the largest and most expensive HPAI outbreak in the United States to date. Despite extensive traditional and molecular epidemiological studies, factors associated with the spread of HPAI among midwestern poultry premises remain unclear. To better understand the dynamics of this outbreak, 182 full genome HPAI H5N2 sequences isolated from commercial layer chicken and turkey production premises were analyzed using evolutionary models able to accommodate epidemiological and geographic information. Epidemiological compartmental models embedded in a phylogenetic framework provided evidence that poultry type acted as a barrier to the transmission of virus among midwestern poultry farms. Furthermore, after initial introduction, the propagation of HPAI cases was self-sustainable within the commercial poultry industries. Discrete trait diffusion models indicated that within state viral transitions occurred more frequently than inter-state transitions. Distance and sample size were very strongly supported as associated with viral transition between county groups (Bayes Factor > 30.0). Together these findings indicate that the different types of midwestern poultry industries were not a single homogenous population, but rather, the outbreak was shaped by poultry industries and geographic factors.
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Affiliation(s)
- Joseph T. Hicks
- Center for Ecology of Infectious Diseases, Department of Infectious Diseases, Department of Ecology and Biostatistics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
| | - Dong-Hun Lee
- Department of Pathobiology and Veterinary Science, the University of Connecticut, Storrs, Connecticut, United States of America
| | - Venkata R. Duvvuri
- Center for Ecology of Infectious Diseases, Department of Infectious Diseases, Department of Ecology and Biostatistics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
| | - Mia Kim Torchetti
- U.S. Department of Agriculture, Ames, Iowa, United States of America
| | - David E. Swayne
- Exotic and Emerging Avian Viral Diseases Research Unit, U.S. National Poultry Research Center, Agricultural Research Service, U.S. Department of Agriculture, Athens, Georgia, United States of America
| | - Justin Bahl
- Center for Ecology of Infectious Diseases, Department of Infectious Diseases, Department of Ecology and Biostatistics, Institute of Bioinformatics, University of Georgia, Athens, Georgia, United States of America
- Duke-NUS Graduate Medical School, Singapore
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12
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Cross PC, Prosser DJ, Ramey AM, Hanks EM, Pepin KM. Confronting models with data: the challenges of estimating disease spillover. Philos Trans R Soc Lond B Biol Sci 2019; 374:20180435. [PMID: 31401965 DOI: 10.1098/rstb.2018.0435] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
For pathogens known to transmit across host species, strategic investment in disease control requires knowledge about where and when spillover transmission is likely. One approach to estimating spillover is to directly correlate observed spillover events with covariates. An alternative is to mechanistically combine information on host density, distribution and pathogen prevalence to predict where and when spillover events are expected to occur. We use several case studies at the wildlife-livestock disease interface to highlight the challenges, and potential solutions, to estimating spatio-temporal variation in spillover risk. Datasets on multiple host species often do not align in space, time or resolution, and may have no estimates of observation error. Linking these datasets requires they be related to a common spatial and temporal resolution and appropriately propagating errors in predictions can be difficult. Hierarchical models are one potential solution, but for fine-resolution predictions at broad spatial scales, many models become computationally challenging. Despite these limitations, the confrontation of mechanistic predictions with observed events is an important avenue for developing a better understanding of pathogen spillover. Systems where data have been collected at all levels in the spillover process are rare, or non-existent, and require investment and sustained effort across disciplines. This article is part of the theme issue 'Dynamic and integrative approaches to understanding pathogen spillover'.
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Affiliation(s)
- Paul C Cross
- U.S. Geological Survey, Northern Rocky Mountain Science Center, 2327 University Way, Suite 2, Bozeman, MT 59715, USA
| | - Diann J Prosser
- U.S. Geological Survey, Patuxent Wildlife Research Center, 12100 Beech Forest Drive, Laurel, MD 20708, USA
| | - Andrew M Ramey
- U.S. Geological Survey, Alaska Science Center, 4210 University Drive, Anchorage, AK 99508, USA
| | - Ephraim M Hanks
- Department of Statistics, Pennsylvania State University, University Park, PA 16802, USA
| | - Kim M Pepin
- National Wildlife Research Center, USDA-APHIS, Fort Collins, CO 80526, USA
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13
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Lee DH, Torchetti MK, Hicks J, Killian ML, Bahl J, Pantin-Jackwood M, Swayne DE. Transmission Dynamics of Highly Pathogenic Avian Influenza Virus A(H5Nx) Clade 2.3.4.4, North America, 2014-2015. Emerg Infect Dis 2019; 24:1840-1848. [PMID: 30226167 PMCID: PMC6154162 DOI: 10.3201/eid2410.171891] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Eurasia highly pathogenic avian influenza virus (HPAIV) H5 clade 2.3.4.4 emerged in North America at the end of 2014 and caused outbreaks affecting >50 million poultry in the United States before eradication in June 2015. We investigated the underlying ecologic and epidemiologic processes associated with this viral spread by performing a comparative genomic study using 268 full-length genome sequences and data from outbreak investigations. Reassortant HPAIV H5N2 circulated in wild birds along the Pacific flyway before several spillover events transmitting the virus to poultry farms. Our analysis suggests that >3 separate introductions of HPAIV H5N2 into Midwest states occurred during March–June 2015; transmission to Midwest poultry farms from Pacific wild birds occurred ≈1.7–2.4 months before detection. Once established in poultry, the virus rapidly spread between turkey and chicken farms in neighboring states. Enhanced biosecurity is required to prevent the introduction and dissemination of HPAIV across the poultry industry.
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14
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Spackman E, Prosser DJ, Pantin-Jackwood M, Stephens CB, Berlin AM. Clade 2.3.4.4 H5 North American Highly Pathogenic Avian Influenza Viruses Infect, but Do Not Cause Clinical Signs in, American Black Ducks (Anas rubripes). Avian Dis 2019; 63:366-370. [DOI: 10.1637/11950-081418-resnote.1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Accepted: 12/19/2018] [Indexed: 11/05/2022]
Affiliation(s)
- Erica Spackman
- Southeast Poultry Research Laboratory, United States National Poultry Research Center, United States Department of Agriculture, Agricultural Research Service, 934 College Station Road, Athens, GA 30605
| | - Diann J. Prosser
- Patuxent Wildlife Research Center, United States Geological Survey, 12100 Beech Forest Road, Laurel, MD 20708
| | - Mary Pantin-Jackwood
- Southeast Poultry Research Laboratory, United States National Poultry Research Center, United States Department of Agriculture, Agricultural Research Service, 934 College Station Road, Athens, GA 30605
| | - Christopher B. Stephens
- Southeast Poultry Research Laboratory, United States National Poultry Research Center, United States Department of Agriculture, Agricultural Research Service, 934 College Station Road, Athens, GA 30605
| | - Alicia M. Berlin
- Patuxent Wildlife Research Center, United States Geological Survey, 12100 Beech Forest Road, Laurel, MD 20708
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15
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Echaubard P, Rudge JW, Lefevre T. Evolutionary perspectives on human infectious diseases: Challenges, advances, and promises. Evol Appl 2018; 11:383-393. [PMID: 29636793 PMCID: PMC5891049 DOI: 10.1111/eva.12586] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/01/2022] Open
Affiliation(s)
- Pierre Echaubard
- Global Health Asia Institute Faculty of Public Health Mahidol University Bangkok Thailand
- Department of Biology Laurentian University Sudbury ON Canada
| | - James W Rudge
- Department of Global Health and Development London School of Hygiene and Tropical Medicine London UK
- Faculty of Public Health Mahidol University Bangkok Thailand
| | - Thierry Lefevre
- Institut de Recherche en Sciences de la Santé (IRSS) Bobo Dioulasso Burkina Faso
- MIVEGEC, IRD, CNRS University. Montpellier Montpellier France
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16
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Ramey AM, DeLiberto TJ, Berhane Y, Swayne DE, Stallknecht DE. Lessons learned from research and surveillance directed at highly pathogenic influenza A viruses in wild birds inhabiting North America. Virology 2018; 518:55-63. [PMID: 29453059 DOI: 10.1016/j.virol.2018.02.002] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2017] [Revised: 01/29/2018] [Accepted: 02/02/2018] [Indexed: 11/19/2022]
Abstract
Following detections of highly pathogenic (HP) influenza A viruses (IAVs) in wild birds inhabiting East Asia after the turn of the millennium, the intensity of sampling of wild birds for IAVs increased throughout much of North America. The objectives for many research and surveillance efforts were directed towards detecting Eurasian origin HP IAVs and understanding the potential of such viruses to be maintained and dispersed by wild birds. In this review, we highlight five important lessons learned from research and surveillance directed at HP IAVs in wild birds inhabiting North America: (1) Wild birds may disperse IAVs between North America and adjacent regions via migration, (2) HP IAVs can be introduced to wild birds in North America, (3) HP IAVs may cross the wild bird-poultry interface in North America, (4) The probability of encountering and detecting a specific virus may be low, and (5) Population immunity of wild birds may influence HP IAV outbreaks in North America. We review empirical support derived from research and surveillance efforts for each lesson learned and, furthermore, identify implications for future surveillance efforts, biosecurity, and population health. We conclude our review by identifying five additional areas in which we think future mechanistic research relative to IAVs in wild birds in North America are likely to lead to other important lessons learned in the years ahead.
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Affiliation(s)
- Andrew M Ramey
- US Geological Survey, Alaska Science Center, 4210 University Drive, Anchorage, AK 99508, USA.
| | - Thomas J DeLiberto
- National Wildlife Disease Program, Wildlife Services, Animal and Plant Health Inspection Service, US Department of Agriculture, Fort Collins, CO 80521, USA
| | - Yohannes Berhane
- Canadian Food Inspection Agency, National Centre for Foreign Animal Disease, Winnipeg, Manitoba, Canada R3E 3M4; Department of Animal Science, University of Manitoba, Winnipeg, Canada
| | - David E Swayne
- Exotic and Emerging Avian Viral Diseases Research Unit, Southeast Poultry Research Laboratory, U.S. National Poultry Research Center, Agricultural Research Service, U.S. Department of Agriculture, Athens, GA, USA
| | - David E Stallknecht
- Southeastern Cooperative Wildlife Disease Study, Department of Population Health, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, USA
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