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Yang F, Zhao X, Huo C, Miao X, Qin T, Chen S, Peng D, Liu X. An avian-origin internal backbone effectively increases the H5 subtype avian influenza vaccine candidate yield in both chicken embryonated eggs and MDCK cells. Poult Sci 2024; 103:103988. [PMID: 38970848 PMCID: PMC11269899 DOI: 10.1016/j.psj.2024.103988] [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: 02/17/2024] [Revised: 05/29/2024] [Accepted: 06/12/2024] [Indexed: 07/08/2024] Open
Abstract
Inactivated vaccines play an important role in preventing and controlling the epidemic caused by the H5 subtype avian influenza virus. The vaccine strains are updated in response to alterations in surface protein antigens, while an avian-derived vaccine internal backbone with a high replicative capacity in chicken embryonated eggs and MDCK cells is essential for vaccine development. In this study, we constructed recombinant viruses using the clade 2.3.4.4d A/chicken/Jiangsu/GY5/2017(H5N6, CkG) strain as the surface protein donor and the clade 2.3.4.4b A/duck/Jiangsu/84512/2017(H5N6, Dk8) strain with high replicative ability as an internal donor. After optimization, the integration of the M gene from the CkG into the internal genes from Dk8 (8GM) was selected as the high-yield vaccine internal backbone, as the combination improved the hemagglutinin1/nucleoprotein (HA1/NP) ratio in recombinant viruses. The r8GMΔG with attenuated hemagglutinin and neuraminidase from the CkG exhibited high-growth capacity in both chicken embryos and MDCK cell cultures. The inactivated r8GMΔG vaccine candidate also induced a higher hemagglutination inhibition antibody titer and microneutralization titer than the vaccine strain using PR8 as the internal backbone. Further, the inactivated r8GMΔG vaccine candidate provided complete protection against wild-type strain challenge. Therefore, our study provides a high-yield, easy-to-cultivate candidate donor as an internal gene backbone for vaccine development.
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Affiliation(s)
- Fan Yang
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Xinyu Zhao
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Chenzhi Huo
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China
| | - Xinyu Miao
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, Jiangsu 225009, China; The International Joint Laboratory for Cooperation in Agriculture and Agricultural Product Safety, Ministry of Education, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Research Centre of Engineering and Technology for Prevention and Control of Poultry Disease, Yangzhou, Jiangsu 225009, China
| | - Tao Qin
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, Jiangsu 225009, China; The International Joint Laboratory for Cooperation in Agriculture and Agricultural Product Safety, Ministry of Education, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Research Centre of Engineering and Technology for Prevention and Control of Poultry Disease, Yangzhou, Jiangsu 225009, China
| | - Sujuan Chen
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, Jiangsu 225009, China; The International Joint Laboratory for Cooperation in Agriculture and Agricultural Product Safety, Ministry of Education, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Research Centre of Engineering and Technology for Prevention and Control of Poultry Disease, Yangzhou, Jiangsu 225009, China
| | - Daxin Peng
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, Jiangsu 225009, China; The International Joint Laboratory for Cooperation in Agriculture and Agricultural Product Safety, Ministry of Education, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Research Centre of Engineering and Technology for Prevention and Control of Poultry Disease, Yangzhou, Jiangsu 225009, China.
| | - Xiufan Liu
- College of Veterinary Medicine, Yangzhou University, Yangzhou, Jiangsu 225009, China; Jiangsu Co-Innovation Center for the Prevention and Control of Important Animal Infectious Disease and Zoonoses, Yangzhou, Jiangsu 225009, China; Jiangsu Research Centre of Engineering and Technology for Prevention and Control of Poultry Disease, Yangzhou, Jiangsu 225009, China
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2
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Kang M, Wang LF, Sun BW, Wan WB, Ji X, Baele G, Bi YH, Suchard MA, Lai A, Zhang M, Wang L, Zhu YH, Ma L, Li HP, Haerheng A, Qi YR, Wang RL, He N, Su S. Zoonotic infections by avian influenza virus: changing global epidemiology, investigation, and control. THE LANCET. INFECTIOUS DISEASES 2024; 24:e522-e531. [PMID: 38878787 DOI: 10.1016/s1473-3099(24)00234-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 03/21/2024] [Accepted: 04/07/2024] [Indexed: 07/28/2024]
Abstract
Avian influenza virus continues to pose zoonotic, epizootic, and pandemic threats worldwide, as exemplified by the 2020-23 epizootics of re-emerging H5 genotype avian influenza viruses among birds and mammals and the fatal jump to humans of emerging A(H3N8) in early 2023. Future influenza pandemic threats are driven by extensive mutations and reassortments of avian influenza viruses rooted in frequent interspecies transmission and genetic mixing and underscore the urgent need for more effective actions. We examine the changing global epidemiology of human infections caused by avian influenza viruses over the past decade, including dramatic increases in both the number of reported infections in humans and the spectrum of avian influenza virus subtypes that have jumped to humans. We also discuss the use of advanced surveillance, diagnostic technologies, and state-of-the-art analysis methods for tracking emerging avian influenza viruses. We outline an avian influenza virus-specific application of the One Health approach, integrating enhanced surveillance, tightened biosecurity, targeted vaccination, timely precautions, and timely clinical management, and fostering global collaboration to control the threats of avian influenza viruses.
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Affiliation(s)
- Mei Kang
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China; Clinical Research Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Li-Fang Wang
- National Key Laboratory of Veterinary Public Health Security, College of Veterinary Medicine, China Agricultural University, Beijing, China
| | - Bo-Wen Sun
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Wen-Bo Wan
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Xiang Ji
- Department of Mathematics, School of Science and Engineering, Tulane University, New Orleans, LA, USA
| | - Guy Baele
- Department of Microbiology, Immunology and Transplantation, Rega Institute, Laboratory for Clinical and Epidemiological Virology, KU Leuven, Leuven, Belgium
| | - Yu-Hai Bi
- CAS Key Laboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China
| | - Marc A Suchard
- Department of Biostatistics, Fielding School of Public Health, University of California Los Angeles, Los Angeles, CA, USA; Department of Biomathematics, David Geffen School of Medicine at UCLA, University of California, Los Angeles, Los Angeles, CA, USA
| | - Alexander Lai
- School of Science, Technology, Engineering, and Mathematics, Kentucky State University, Frankfort, KY, USA
| | - Min Zhang
- Department of Respiratory and Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lin Wang
- Department of Laboratory Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yan-Hong Zhu
- Department of Scientific Research Management, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Lei Ma
- Department of Scientific Research Management, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hai-Peng Li
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Ayidana Haerheng
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Yang-Rui Qi
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Rui-Lan Wang
- Department of Critical Care Medicine, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Na He
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China
| | - Shuo Su
- Shanghai Institute of Infectious Disease and Biosecurity, School of Public Health, Fudan University, Shanghai, China.
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3
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Pinotti F, Kohnle L, Lourenço J, Gupta S, Hoque MA, Mahmud R, Biswas P, Pfeiffer D, Fournié G. Modelling the transmission dynamics of H9N2 avian influenza viruses in a live bird market. Nat Commun 2024; 15:3494. [PMID: 38693163 PMCID: PMC11063141 DOI: 10.1038/s41467-024-47703-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/15/2023] [Accepted: 04/08/2024] [Indexed: 05/03/2024] Open
Abstract
H9N2 avian influenza viruses (AIVs) are a major concern for the poultry sector and human health in countries where this subtype is endemic. By fitting a model simulating H9N2 AIV transmission to data from a field experiment, we characterise the epidemiology of the virus in a live bird market in Bangladesh. Many supplied birds arrive already exposed to H9N2 AIVs, resulting in many broiler chickens entering the market as infected, and many indigenous backyard chickens entering with pre-existing immunity. Most susceptible chickens become infected within one day spent at the market, owing to high levels of viral transmission within market and short latent periods, as brief as 5.3 hours. Although H9N2 AIV transmission can be substantially reduced under moderate levels of cleaning and disinfection, effective risk mitigation also requires a range of additional interventions targeting markets and other nodes along the poultry production and distribution network.
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Affiliation(s)
| | - Lisa Kohnle
- City University of Hong Kong, Hong Kong SAR, Hong Kong
| | - José Lourenço
- CBR (Biomedical Research Centre), Universidade Católica Portuguesa, Oeiras, Portugal
| | - Sunetra Gupta
- Department of Biology, University of Oxford, Oxford, UK
| | - Md Ahasanul Hoque
- Chattogram Veterinary and Animal Sciences University, Chittagong, Bangladesh
| | - Rashed Mahmud
- Chattogram Veterinary and Animal Sciences University, Chittagong, Bangladesh
| | - Paritosh Biswas
- Chattogram Veterinary and Animal Sciences University, Chittagong, Bangladesh
| | - Dirk Pfeiffer
- City University of Hong Kong, Hong Kong SAR, Hong Kong
- Royal Veterinary College, London, UK
| | - Guillaume Fournié
- Royal Veterinary College, London, UK
- INRAE, VetAgro Sup, UMR EPIA, Université de Lyon, Marcy l'Etoile, 69280, France
- INRAE, VetAgro Sup, UMR EPIA, Université Clermont Auvergne, Saint Genès Champanelle, 63122, France
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4
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Wang Z, Li H, Li Y, Wu Z, Ai H, Zhang M, Rong L, Blinov ML, Tong Q, Liu L, Sun H, Pu J, Feng W, Liu J, Sun Y. Mixed selling of different poultry species facilitates emergence of public-health-threating avian influenza viruses. Emerg Microbes Infect 2023; 12:2214255. [PMID: 37191631 DOI: 10.1080/22221751.2023.2214255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Live poultry markets (LPMs) are regarded as hubs for avian influenza virus (AIV) transmission in poultry and are a major risk factor in human AIV infections. We performed an AIV surveillance study at a wholesale LPM, where different poultry species were sold in separate stalls, and nine retail LPMs, which received poultry from the wholesale LPM but where different poultry species were sold in one stall, in Guangdong province from 2017 to 2019. A higher AIV isolation rate was observed at the retail LPMs than the wholesale LPM. H9N2 was the dominant AIV subtype and was mainly present in chickens and quails. The genetic diversity of H9N2 viruses was greater at the retail LPMs, where a complex system of two-way transmission between different poultry species had formed. The isolated H9N2 viruses could be classed into four genotypes: G57 and the three novel genotypes, NG164, NG165, and NG166. The H9N2 AIVs isolated from chickens and quails at the wholesale LPM only belonged to the G57 and NG164 genotypes, respectively. However, the G57, NG164, and NG165 genotypes were identified in both chickens and quails at the retail LPMs. We found that the replication and transmission of the NG165 genotype were more adaptive to both poultry and mammalian models than those of its precursor genotype, NG164. Our findings revealed that mixed poultry selling at retail LPMs has increased the genetic diversity of AIVs, which might facilitate the emergence of novel viruses that threaten public health.
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Affiliation(s)
- Zhen Wang
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
- State Key Laboratories of Agrobiotechnology, and Department of Microbiology and Immunology, College of Biological Science, China Agricultural University, Beijing, People's Republic of China
| | - Hongkui Li
- Liaoning Agricultural Development Service Center, Shenyang, People's Republic of China
| | - Yuhan Li
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Zhuanli Wu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Hui Ai
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA
| | - Libin Rong
- Department of Mathematics, University of Florida, Gainesville, FL, USA
| | - Michael L Blinov
- Center for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Qi Tong
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Litao Liu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Honglei Sun
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Juan Pu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Wenhai Feng
- State Key Laboratories of Agrobiotechnology, and Department of Microbiology and Immunology, College of Biological Science, China Agricultural University, Beijing, People's Republic of China
| | - Jinhua Liu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Yipeng Sun
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
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5
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Comparative Analysis of Different Inbred Chicken Lines Highlights How a Hereditary Inflammatory State Affects Susceptibility to Avian Influenza Virus. Viruses 2023; 15:v15030591. [PMID: 36992300 PMCID: PMC10052641 DOI: 10.3390/v15030591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 02/10/2023] [Accepted: 02/17/2023] [Indexed: 02/24/2023] Open
Abstract
Evidence suggests that susceptibility to avian influenza A virus in chickens is influenced by host genetics, but the mechanisms are poorly understood. A previous study demonstrated that inbred line 0 chickens are more resistant to low-pathogenicity avian influenza (LPAI) infection than line CB.12 birds based on viral shedding, but the resistance was not associated with higher AIV-specific IFNγ responses or antibody titres. In this study, we investigated the proportions and cytotoxic capacity of T-cell subpopulations in the spleen and the early immune responses in the respiratory tract, analysing the innate immune transcriptome of lung-derived macrophages following in vitro stimulation with LPAI H7N1 or the TLR7 agonist R848. The more susceptible C.B12 line had a higher proportion of CD8αβ+ γδ and CD4+CD8αα+ αVβ1 T cells, and a significantly higher proportion of the CD8αβ+ γδ and CD8αβ+ αVβ1 T cells expressed CD107a, a surrogate marker of degranulation. Lung macrophages isolated from line C.B12 birds expressed higher levels of the negative regulator genes TRIM29 and IL17REL, whereas macrophages from line 0 birds expressed higher levels of antiviral genes including IRF10 and IRG1. After stimulation with R848, the macrophages from line 0 birds mounted a higher response compared to line C.B12 cells. Together, the higher proportion of unconventional T cells, the higher level of cytotoxic cell degranulation ex vivo and post-stimulation and the lower levels of antiviral gene expression suggest a potential role of immunopathology in mediating susceptibility in C.B12 birds.
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Sun Y, Zhang T, Zhao X, Qian J, Jiang M, Jia M, Xu Y, Yang W, Feng L. High activity levels of avian influenza upwards 2018–2022: A global epidemiological overview of fowl and human infections. One Health 2023. [DOI: 10.1016/j.onehlt.2023.100511] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023] Open
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7
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Keusch GT, Amuasi JH, Anderson DE, Daszak P, Eckerle I, Field H, Koopmans M, Lam SK, Das Neves CG, Peiris M, Perlman S, Wacharapluesadee S, Yadana S, Saif L. Pandemic origins and a One Health approach to preparedness and prevention: Solutions based on SARS-CoV-2 and other RNA viruses. Proc Natl Acad Sci U S A 2022; 119:e2202871119. [PMID: 36215506 PMCID: PMC9586299 DOI: 10.1073/pnas.2202871119] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
COVID-19 is the latest zoonotic RNA virus epidemic of concern. Learning how it began and spread will help to determine how to reduce the risk of future events. We review major RNA virus outbreaks since 1967 to identify common features and opportunities to prevent emergence, including ancestral viral origins in birds, bats, and other mammals; animal reservoirs and intermediate hosts; and pathways for zoonotic spillover and community spread, leading to local, regional, or international outbreaks. The increasing scientific evidence concerning the origins of Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is most consistent with a zoonotic origin and a spillover pathway from wildlife to people via wildlife farming and the wildlife trade. We apply what we know about these outbreaks to identify relevant, feasible, and implementable interventions. We identify three primary targets for pandemic prevention and preparedness: first, smart surveillance coupled with epidemiological risk assessment across wildlife-livestock-human (One Health) spillover interfaces; second, research to enhance pandemic preparedness and expedite development of vaccines and therapeutics; and third, strategies to reduce underlying drivers of spillover risk and spread and reduce the influence of misinformation. For all three, continued efforts to improve and integrate biosafety and biosecurity with the implementation of a One Health approach are essential. We discuss new models to address the challenges of creating an inclusive and effective governance structure, with the necessary stable funding for cross-disciplinary collaborative research. Finally, we offer recommendations for feasible actions to close the knowledge gaps across the One Health continuum and improve preparedness and response in the future.
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Affiliation(s)
- Gerald T. Keusch
- Department of Medicine, Section of Infectious Diseases, National Emerging Infectious Diseases Laboratories, Center for Emerging Infectious Diseases Policy and Research, Boston University, Boston, MA 02215
| | - John H. Amuasi
- School of Public Health, Department of Global Health, Kwame Nkrumah University of Science and Technology (KNUST), PMB UPO, Kumasi 00000 Ghana
- Global Health and Infectious Diseases Research Group, Kumasi Centre for Collaborative Research in Tropical Medicine, Kumasi, Ghana
- Bernhard Nocht Institute of Tropical Medicine, 20359 Hamburg, Germany
| | - Danielle E. Anderson
- Victorian Infectious Diseases Reference Laboratory, The Peter Doherty Institute for Infection and Immunity, University of Melbourne, Melbourne, VIC, 3000 Australia
| | | | - Isabella Eckerle
- Geneva Centre for Emerging Viral Diseases, Laboratory of Virology, Division of Infectious Diseases, University Hospital of Geneva, CH-1205 Geneva, Switzerland
- Department of Molecular Medicine and Microbiology Faculty of Medicine, University of Geneva, 1205 Geneva, Switzerland
| | - Hume Field
- EcoHealth Alliance, New York, NY 10018
- School of Veterinary Science, The University of Queensland, Brisbane, Queensland 4072, Australia
| | - Marion Koopmans
- Department of Viroscience and Pandemic and Disaster Preparedness Centre, Erasmus Medical Center, CA 3000 Rotterdam, Netherlands
| | - Sai Kit Lam
- University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Carlos G. Das Neves
- Norwegian Veterinary Institute, 1433 Ås, Norway
- Faculty of Health Sciences, UiT – The Arctic University of Norway, Langnes, N-9037 Tromsø, Norway
| | - Malik Peiris
- School of Public Health, The University of Hong Kong, 999077 Hong Kong SAR, China
| | - Stanley Perlman
- Department of Microbiology and Immunology, Department of Pediatrics, University of Iowa, Iowa City, IA 52242
| | - Supaporn Wacharapluesadee
- Thai Red Cross Emerging Infectious Diseases Clinical Center, King Chulalongkorn Memorial Hospital and Chulalongkorn University, Bangkok 10330, Thailand
| | - Su Yadana
- EcoHealth Alliance, New York, NY 10018
| | - Linda Saif
- Center for Food Animal Health (CFAH), Ohio Agricultural Research and Development Center, Animal Sciences Department, College of Food, Agricultural and Environmental Sciences, Veterinary Preventive Medicine Department, College of Veterinary Medicine, The Ohio State University, Wooster, OH 44691
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8
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Shibuya K, Tan CC, Chun AY, Leung GM. Global human security in the post-COVID-19 era: The rising role of East Asia. PLoS Med 2022; 19:e1003939. [PMID: 35834572 PMCID: PMC9282514 DOI: 10.1371/journal.pmed.1003939] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Kenji Shibuya and coauthors discuss the potential contribution of East Asian countries to global health in the light of COVID-19.
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Affiliation(s)
- Kenji Shibuya
- Soma COVID Vaccination Medical Center, Soma City, Fukushima, Japan
| | - Chorh Chuan Tan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Asaph Young Chun
- Statistics Research Institute | Statistics Korea, Daejeon, The Republic of Korea
| | - Gabriel M. Leung
- School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, LKS Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People’s Republic of China
- Laboratory of Data Discovery for Health (D4H), Hong Kong Science Park, New Territories, Hong Kong Special Administrative Region, People’s Republic of China
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9
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Research Progress in the Early Warning of Chicken Diseases by Monitoring Clinical Symptoms. APPLIED SCIENCES-BASEL 2022. [DOI: 10.3390/app12115601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
Global animal protein consumption has been steadily increasing as a result of population growth and the increasing demand for nutritious diets. The poultry industry provides a large portion of meat and eggs for human consumption. The early detection and warning of poultry infectious diseases play a critical role in the poultry breeding and production systems, improving animal welfare and reducing losses. However, inadequate methods for the early detection and prevention of infectious diseases in poultry farms sometimes fail to prevent decreased productivity and even widespread mortality. The health status of poultry is often reflected by its individual physiological, physical and behavioral clinical symptoms, such as higher body temperature resulting from fever, abnormal vocalization caused by respiratory disease and abnormal behaviors due to pathogenic infection. Therefore, the use of technologies for symptom detection can monitor the health status of broilers and laying hens in a continuous, noninvasive and automated way, and potentially assist in the early warning decision-making process. This review summarized recent literature on poultry disease detection and highlighted clinical symptom-monitoring technologies for sick poultry. The review concluded that current technologies are already showing their superiority to manual inspection, but the clinical symptom-based monitoring systems have not been fully utilized for on-farm early detection.
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10
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Su W, Sia SF, Choy KT, Ji Y, Chen D, Lau EHY, Fu G, Huang Y, Liu J, Peiris M, Pu J, Yen HL. Limited onward transmission potential of reassortment genotypes from chickens co-infected with H9N2 and H7N9 avian influenza viruses. Emerg Microbes Infect 2021; 10:2030-2041. [PMID: 34666614 PMCID: PMC8567909 DOI: 10.1080/22221751.2021.1996209] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
The segmented genome of influenza A virus has conferred significant evolutionary advantages to this virus through genetic reassortment, a mechanism that facilitates the rapid expansion of viral genetic diversity upon influenza co-infections. Therefore, co-infection of genetically diverse avian influenza viruses in poultry may pose a significant public health risk in generating novel reassortants with increased zoonotic potential. This study investigated the reassortment patterns of a Pearl River Delta-lineage avian influenza A(H7N9) virus and four genetically divergent avian influenza A(H9N2) viruses upon co-infection in embryonated chicken eggs and chickens. To characterize “within-host” and “between-host” genetic diversity, we further monitored the viral genotypes that were subsequently transmitted to contact chickens in serial transmission experiments. We observed that co-infection with A(H7N9) and A(H9N2) viruses may lead to the emergence of novel reassortant viruses in ovo and in chickens, albeit with different reassortment patterns. Novel reassortants detected in donor chickens co-infected with different combinations of the same A(H7N9) virus and different A(H9N2) viruses showed distinct onward transmission potential to contact chickens. Sequential transmission of novel reassortant viruses was only observed in one out of four co-infection combinations. Our results demonstrated different patterns by which influenza viruses may acquire genetic diversity through co-infection in ovo, in vivo, and under sequential transmission conditions.
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Affiliation(s)
- Wen Su
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Sin Fun Sia
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Ka-Tim Choy
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Yue Ji
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Dongdong Chen
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Eric Ho Yin Lau
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Guanghua Fu
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, People's Republic of China
| | - Yu Huang
- Institute of Animal Husbandry and Veterinary Medicine, Fujian Academy of Agricultural Sciences, Fuzhou, People's Republic of China
| | - Jinhua Liu
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Malik Peiris
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
| | - Juan Pu
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Hui-Ling Yen
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, People's Republic of China
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11
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Zhu G, Kang M, Wei X, Tang T, Liu T, Xiao J, Song T, Ma W. Different intervention strategies toward live poultry markets against avian influenza A (H7N9) virus: Model-based assessment. ENVIRONMENTAL RESEARCH 2021; 198:110465. [PMID: 33220247 DOI: 10.1016/j.envres.2020.110465] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 10/12/2020] [Accepted: 11/09/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Different interventions targeting live poultry markets (LPMs) are applied in China for controlling avian influenza A (H7N9), including LPM closure and "1110" policy (i.e., daily cleaning, weekly disinfection, monthly rest day, zero poultry stock overnight). However, the interventions' effectiveness has not been comprehensively assessed. METHODS Based on the available data (including reported cases, domestic poultry volume, and climate) collected in Guangdong Province between October 2013 and June 2017, we developed a new compartmental model that enabled us to infer H7N9 transmission dynamics. The model incorporated the intrinsic interplay among humans and poultry as well as the impacts of absolute humidity and LPM intervention, in which intervention strategies were parameterized and estimated by Markov chain Monte Carlo method. RESULTS There were 258 confirmed human H7N9 cases in Guangdong during the study period. If without interventions, the number would reach 646 (95%CI, 575-718) cases. Temporal, seasonal and permanent closures of LPMs can substantially reduce transmission risk, which might respectively reduce human infections by 67.2% (95%CI, 64.3%-70.1%), 75.6% (95%CI, 73.8%-77.5%), 86.6% (95%CI, 85.7-87.6%) in total four epidemic seasons, and 81.9% (95%CI, 78.7%-85.2%), 91.5% (95%CI, 89.9%-93.1%), 99.0% (95%CI, 98.7%-99.3%) in the last two epidemic seasons. Moreover, implementing the "1110" policy from 2014 to 2017 would reduce the cases by 34.1% (95%CI, 20.1%-48.0%), suggesting its limited role in preventing H7N9 transmission. CONCLUSIONS Our study quantified the effects of different interventions and execution time toward LPMs for controlling H7N9 transmission. The results highlighted the importance of closing LPMs during epidemic period, and supported permanent closure as a long-term plan.
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Affiliation(s)
- Guanghu Zhu
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, 541004, China; Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Min Kang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xueli Wei
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Tian Tang
- Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tie Song
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
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12
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Ibarra-Zapata E, Gaytán-Hernández D, Gallegos-García V, González-Acevedo CE, Meza-Menchaca T, Rios-Lugo MJ, Hernández-Mendoza H. Geospatial modelling to estimate the territory at risk of establishment of influenza type A in Mexico - An ecological study. GEOSPATIAL HEALTH 2021; 16. [PMID: 34000788 DOI: 10.4081/gh.2021.956] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Accepted: 03/16/2021] [Indexed: 06/12/2023]
Abstract
The aim of this study was to estimate the territory at risk of establishment of influenza type A (EOITA) in Mexico, using geospatial models. A spatial database of 1973 outbreaks of influenza worldwide was used to develop risk models accounting for natural (natural threat), anthropic (man-made) and environmental (combination of the above) transmission. Then, a virus establishment risk model; an introduction model of influenza A developed in another study; and the three models mentioned were utilized using multi-criteria spatial evaluation supported by geographically weighted regression (GWR), receiver operating characteristic analysis and Moran's I. The results show that environmental risk was concentrated along the Gulf and Pacific coasts, the Yucatan Peninsula and southern Baja California. The identified risk for EOITA in Mexico were: 15.6% and 4.8%, by natural and anthropic risk, respectively, while 18.5% presented simultaneous environmental, natural and anthropic risk. Overall, 28.1% of localities in Mexico presented a High/High risk for the establishment of influenza type A (area under the curve=0.923, P<0.001; GWR, r2=0.840, P<0.001; Moran's I =0.79, P<0.001). Hence, these geospatial models were able to robustly estimate those areas susceptible to EOITA, where the results obtained show the relation between the geographical area and the different effects on health. The information obtained should help devising and directing strategies leading to efficient prevention and sound administration of both human and financial resources.
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Affiliation(s)
- Enrique Ibarra-Zapata
- Center for Research and Postgraduate Studies, Faculty of Agronomy, Autonomous University of San Luis Potosí, San Luis Potosí, S.L.P..
| | - Darío Gaytán-Hernández
- Faculty of Nursing and Nutrition, Autonomous University of San Luis Potosí, San Luis Potosí, S.L.P..
| | - Verónica Gallegos-García
- Faculty of Nursing and Nutrition, Autonomous University of San Luis Potosí, San Luis Potosí, S.L.P..
| | | | - Thuluz Meza-Menchaca
- Laboratory of Human Genomics, Faculty of Medicine, Veracruzana University, Xalapa, Veracruz.
| | - María Judith Rios-Lugo
- Faculty of Nursing and Nutrition, Autonomous University of San Luis Potosí, San Luis Potosí, S.L.P..
| | - Héctor Hernández-Mendoza
- Desert Zones Research Institute, Autonomous University of San Luis Potosí, San Luis Potosí, S.L.P.; University of Central Mexico, San Luis Potosí, S.L.P..
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13
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Guinat C, Tago D, Corre T, Selinger C, Djidjou-Demasse R, Paul M, Raboisson D, Nguyen Thi Thanh T, Inui K, Pham Thanh L, Padungtod P, Vergne T. Optimizing the early detection of low pathogenic avian influenza H7N9 virus in live bird markets. J R Soc Interface 2021; 18:20210074. [PMID: 33947269 PMCID: PMC8097223 DOI: 10.1098/rsif.2021.0074] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In Southeast Asia, surveillance at live bird markets (LBMs) has been identified as crucial for detecting avian influenza viruses (AIV) and reducing the risk of human infections. However, the design of effective surveillance systems in LBMs remains complex given the rapid turn-over of poultry. We developed a deterministic transmission model to provide guidance for optimizing AIV surveillance efforts. The model was calibrated to fit one of the largest LBMs in northern Vietnam at high risk of low pathogenic H7N9 virus introduction from China to identify the surveillance strategy that optimizes H7N9 detection. Results show that (i) using a portable diagnostic device would slightly reduce the number of infected birds leaving the LBM before the first detection, as compared to a laboratory-based diagnostic strategy, (ii) H7N9 detection could become more timely by sampling birds staying overnight, just before new susceptible birds are introduced at the beginning of a working day, and (iii) banning birds staying overnight would represent an effective intervention to reduce the risk of H7N9 spread but would decrease the likelihood of virus detection if introduced. These strategies should receive high priority in Vietnam and other Asian countries at risk of H7N9 introduction.
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Affiliation(s)
- Claire Guinat
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | | | | | - Mathilde Paul
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | - Ken Inui
- FAO, Department of Animal Health (DAH), Ministry of Agriculture and Rural Development (MARD), Hanoi, Vietnam
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14
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Value chain analysis of yellow broiler industry in Guangxi, China to inform H7N9 influenza control strategies. Prev Vet Med 2021; 190:105328. [PMID: 33765448 DOI: 10.1016/j.prevetmed.2021.105328] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2020] [Revised: 02/11/2021] [Accepted: 03/15/2021] [Indexed: 11/22/2022]
Abstract
Yellow broilers are the primary source of poultry consumption in China and the predominant trade of live poultry. However, knowledge of the value chain is limited, which is vital evidence for the effective control of H7N9 and other zoonotic avian influenzas. The aim of the study was to map the yellow broiler value chain in Guangxi Zhuang Autonomous Region, China and investigate its governance structure and practices relevant to the risk of H7N9 transmission. A value chain analysis was conducted in five areas of Guangxi from May to August 2018. To map the value chain, three focus group discussions (FGDs) were conducted and stakeholders, products and premises involved and their interactions were identified. Then, 55 key informant interviews (KIIs) collected qualitative data on stakeholders' profile, practices and interactions with other stakeholders and rules/norms that exist along the value chain. On-site observations were also carried out at different types of premises along the value chain to complement and validate findings of KIIs and FGDs. Participants were also asked to provide proportional estimates of each component in the value chain where possible. The qualitative data from FGDs, KIIs and on-site observations were analysed to create stakeholder profiles and a diagram of product flows and stakeholders' interactions. Thematic analysis was used to identify the governance structure of the value chains and practices relevant to the risk of H7N9 transmission. The stakeholders and premises involved in Guangxi yellow broiler production, wholesale and retail were described, as well as their interactions. Contract farming is extensively adopted in Guangxi; consequently yellow broiler grower companies are the dominant stakeholders. The trading platform was identified as a key premise linking farms and live bird markets. The thematic analysis highlighted poor biosecurity practices in different premises along the value chain, which was supported by on-site observations. The operation of trading platforms reported in this study presents a disease risk but is not considered in the current H7N9 control programs. The study suggested that biosecurity management gaps need to be addressed through government-industry partnerships that require engagement with private stakeholders in the planning and implementation of H7N9 control strategies incentivising participation of grower companies, wholesalers and retailers.
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15
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A Heterogeneous Swine Show Circuit Drives Zoonotic Transmission of Influenza A Viruses in the United States. J Virol 2020; 94:JVI.01453-20. [PMID: 32999022 DOI: 10.1128/jvi.01453-20] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2020] [Accepted: 09/22/2020] [Indexed: 11/20/2022] Open
Abstract
Influenza pandemics are associated with severe morbidity, mortality, and social and economic disruption. Every summer in the United States, youths attending agricultural fairs are exposed to genetically diverse influenza A viruses (IAVs) circulating in exhibition swine, resulting in over 450 lab-confirmed zoonotic infections since 2010. Exhibition swine represent a small, defined population (∼1.5% of the U.S. herd), presenting a realistic opportunity to mitigate a pandemic threat by reducing IAV transmission in the animals themselves. Through intensive surveillance and genetic sequencing of IAVs in exhibition swine in six U.S. states in 2018 (n = 212), we characterized how a heterogeneous circuit of swine shows, comprising fairs with different sizes and geographic coverage, facilitates IAV transmission among exhibition swine and into humans. Specifically, we identified the role of an early-season national show in the propagation and spatial dissemination of a specific virus (H1δ-2) that becomes dominant among exhibition swine and is associated with the majority of zoonotic infections in 2018. These findings suggest that a highly targeted mitigation strategy, such as postponing swine shows for 1 to 2 weeks following the early-season national show, could potentially reduce IAV transmission in exhibition swine and spillover into humans, and this merits further study.IMPORTANCE The varying influenza A virus (IAV) exposure and infection status of individual swine facilitates introduction, transmission, and dissemination of diverse IAVs. Since agricultural fairs bring people into intimate contact with swine, they provide a unique interface for zoonotic transmission of IAV. Understanding the dynamics of IAV transmission through exhibition swine is critical to mitigating the high incidence of variant IAV cases reported in association with agricultural fairs. We used genomic sequences from our exhibition swine surveillance to characterize the hemagglutinin and full genotypic diversity of IAV at early-season shows and the subsequent dissemination through later-season agricultural fairs. We were able to identify a critical time point with important implications for downstream IAV and zoonotic transmission. With improved understanding of evolutionary origins of zoonotic IAV, we can inform public health mitigation strategies to ultimately reduce zoonotic IAV transmission and risk of pandemic IAV emergence.
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16
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Dharmayanti NLPI, Hewajuli DA, Ratnawati A, Hartawan R. Genetic diversity of the H5N1 viruses in live bird markets, Indonesia. J Vet Sci 2020; 21:e56. [PMID: 32735094 PMCID: PMC7402941 DOI: 10.4142/jvs.2020.21.e56] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 12/29/2022] Open
Abstract
Background The live bird market (LBM) plays an important role in the dynamic evolution of the avian influenza H5N1 virus. Objectives The main objective of this study was to monitor the genetic diversity of the H5N1 viruses in LBMs in Indonesia. Methods Therefore, the disease surveillance was conducted in the area of Banten, West Java, Central Java, East Java, and Jakarta Province, Indonesia from 2014 to 2019. Subsequently, the genetic characterization of the H5N1 viruses was performed by sequencing all 8 segments of the viral genome. Results As a result, the H5N1 viruses were detected in most of LBMs in both bird' cloacal and environmental samples, in which about 35% of all samples were positive for influenza A and, subsequently, about 52% of these samples were positive for H5 subtyping. Based on the genetic analyses of 14 viruses isolated from LBMs, genetic diversities of the H5N1 viruses were identified including clades 2.1.3 and 2.3.2 as typical predominant groups as well as reassortant viruses between these 2 clades. Conclusions As a consequence, zoonotic transmission to humans in the market could be occurred from the exposure of infected birds and/or contaminated environments. Moreover, new virus variants could emerge from the LBM environment. Therefore, improving pandemic preparedness raised great concerns related to the zoonotic aspect of new influenza variants because of its high adaptivity and efficiency for human infection.
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Affiliation(s)
| | - Dyah Ayu Hewajuli
- Indonesian Research Center for Veterinary Science, Bogor 16114, Indonesia
| | - Atik Ratnawati
- Indonesian Research Center for Veterinary Science, Bogor 16114, Indonesia
| | - Risza Hartawan
- Indonesian Research Center for Veterinary Science, Bogor 16114, Indonesia.
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17
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Pfäfflin F, Flick H, Vogtmann M. Seltene virale Infektionen der Lunge. DER PNEUMOLOGE 2020; 17:311-321. [PMID: 32837494 PMCID: PMC7369536 DOI: 10.1007/s10405-020-00337-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
Die Lunge ist aufgrund ihres direkten Kontakts mit der Umwelt gegenüber einer Vielzahl von Viren exponiert. Im folgenden Beitrag werden Infektionen durch 4 virale Erreger dargestellt, die zu pulmonalen Manifestationen führen können, die in Deutschland aufgrund ihrer Seltenheit wenig bekannt sind. Bei der zoonotischen Influenza, dem „Middle East respiratory syndrome“ (MERS) und der Infektion durch Hantaviren handelt es sich um zoonotische Infektionen, während es sich bei den Masern um eine rein humane Erkrankung handelt. Allen 4 Infektionen gemein sind die potenziell schweren pulmonalen Komplikationen mit hoher Mortalität. Über den einzelnen Patienten hinaus können die Masern, MERS und auch die zoonotische Influenza zu weiteren Übertragungen mit weitreichenden Konsequenzen führen. Der Beitrag beleuchtet für die jeweiligen Erreger relevante Aspekte von Epidemiologie, klinischem Verlauf, Therapie und Prävention. Diese Kenntnisse erscheinen wichtig, da jederzeit mit dem Auftreten von Fällen in Deutschland gerechnet werden muss.
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Affiliation(s)
- F. Pfäfflin
- Medizinische Klinik mit Schwerpunkt Infektiologie und Pneumologie, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Deutschland
| | - H. Flick
- Klinische Abteilung für Pulmonologie, Medizinische Universität Graz, Graz, Österreich
| | - M. Vogtmann
- Medizinische Klinik mit Schwerpunkt Infektiologie und Pneumologie, Charité-Universitätsmedizin Berlin, Charitéplatz 1, 10117 Berlin, Deutschland
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18
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Shan X, Wang Y, Song R, Wei W, Liao H, Huang H, Xu C, Chen L, Li S. Spatial and temporal clusters of avian influenza a (H7N9) virus in humans across five epidemics in mainland China: an epidemiological study of laboratory-confirmed cases. BMC Infect Dis 2020; 20:630. [PMID: 32842978 PMCID: PMC7449057 DOI: 10.1186/s12879-020-05345-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/13/2020] [Indexed: 12/31/2022] Open
Abstract
Background Avian influenza A (H7N9) virus was first reported in mainland China in 2013, and alarming in 2016–17 due to the surge across a wide geographic area. Our study aimed to identify and explore the spatial and temporal variation across five epidemics to reinforce the epidemic prevention and control. Methods We collected spatial and temporal information about all laboratory-confirmed human cases of A (H7N9) virus infection reported in mainland China covering 2013–17 from the open source. The autocorrelation analysis and intensity of cases were used to analyse the spatial cluster while circular distribution method was used to analyse the temporal cluster. Results Across the five epidemics, a total of 1553 laboratory-confirmed human cases with A (H7N9) virus were reported in mainland China. The global Moran’s I index values of five epidemic were 0.610, 0.132, 0.308, 0.306, 0.336 respectively, among which the differences were statistically significant. The highest intensity was present in the Yangtze River Delta region and the Pearl River Delta region, and the range enlarged from the east of China to inner provinces and even the west of China across the five epidemics. The temporal clusters of the five epidemics were statistically significant, and the peak period was from the end of January to April with the first and the fifth epidemic later than the mean peak period. Conclusions Spatial and temporal clusters of avian influenza A (H7N9) virus in humans are obvious, moreover the regions existing clusters may enlarge across the five epidemics. Yangtze River Delta region and the Pearl River Delta region have the spatial cluster and the peak period is from January to April. The government should facilitate the tangible improvement for the epidemic preparedness according to the characteristics of spatial and temporal clusters of patients with avian influenza A (H7N9) virus.
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Affiliation(s)
- Xuzheng Shan
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China.,Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yongqin Wang
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Ruihong Song
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Wen Wei
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hongxiu Liao
- Transaction Management and Information Department, Panzhihua City Center for Disease Control and Prevention, Panzhihua, Sichuan, China
| | - Huang Huang
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Chunqiong Xu
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Lvlin Chen
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Shiyun Li
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China.
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19
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Espinosa R, Tago D, Treich N. Infectious Diseases and Meat Production. ENVIRONMENTAL & RESOURCE ECONOMICS 2020; 76:1019-1044. [PMID: 32836843 PMCID: PMC7399585 DOI: 10.1007/s10640-020-00484-3] [Citation(s) in RCA: 72] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 07/13/2020] [Indexed: 05/07/2023]
Abstract
Most infectious diseases in humans originate from animals. In this paper, we explore the role of animal farming and meat consumption in the emergence and amplification of infectious diseases. First, we discuss how meat production increases epidemic risks, either directly through increased contact with wild and farmed animals or indirectly through its impact on the environment (e.g., biodiversity loss, water use, climate change). Traditional food systems such as bushmeat and backyard farming increase the risks of disease transmission from wild animals, while intensive farming amplifies the impact of the disease due to the high density, genetic proximity, increased immunodeficiency, and live transport of farmed animals. Second, we describe the various direct and indirect costs of animal-based infectious diseases, and in particular, how these diseases can negatively impact the economy and the environment. Last, we discuss policies to reduce the social costs of infectious diseases. While existing regulatory frameworks such as the "One Health" approach focus on increasing farms' biosecurity and emergency preparedness, we emphasize the need to better align stakeholders' incentives and to reduce meat consumption. We discuss in particular the implementation of a "zoonotic" Pigouvian tax, and innovations such as insect-based food or cultured meat.
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Affiliation(s)
| | - Damian Tago
- Emergency Centre for Transboundary Animal Diseases, Food and Agriculture Organization of the UN, Regional Office for Asia and the Pacific, Bangkok, Thailand
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20
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O'Bryan CJ, Braczkowski AR, Magalhães RJS, McDonald-Madden E. Conservation epidemiology of predators and scavengers to reduce zoonotic risk. Lancet Planet Health 2020; 4:e304-e305. [PMID: 32800146 PMCID: PMC7423334 DOI: 10.1016/s2542-5196(20)30166-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2020] [Revised: 06/11/2020] [Accepted: 06/12/2020] [Indexed: 05/06/2023]
Affiliation(s)
- Christopher J O'Bryan
- School of Earth and Environmental Sciences, Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4072, Australia.
| | | | - Ricardo J Soares Magalhães
- UQ Spatial Epidemiology Laboratory, School of Veterinary Science, The University of Queensland, Gatton, QLD, Australia; Children Health and Environment Program, Child Health Research Centre, The University of Queensland, South Brisbane, QLD, Australia
| | - Eve McDonald-Madden
- School of Earth and Environmental Sciences, Centre for Biodiversity and Conservation Science, The University of Queensland, Brisbane, QLD 4072, Australia
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21
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Chen Y, Cheng J, Xu Z, Hu W, Lu J. Live poultry market closure and avian influenza A (H7N9) infection in cities of China, 2013-2017: an ecological study. BMC Infect Dis 2020; 20:369. [PMID: 32448137 PMCID: PMC7245998 DOI: 10.1186/s12879-020-05091-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 05/13/2020] [Indexed: 01/24/2023] Open
Abstract
Background Previous studies have proven that the closure of live poultry markets (LPMs) was an effective intervention to reduce human risk of avian influenza A (H7N9) infection, but evidence is limited on the impact of scale and duration of LPMs closure on the transmission of H7N9. Method Five cities (i.e., Shanghai, Suzhou, Shenzhen, Guangzhou and Hangzhou) with the largest number of H7N9 cases in mainland China from 2013 to 2017 were selected in this study. Data on laboratory-confirmed H7N9 human cases in those five cities were obtained from the Chinese National Influenza Centre. The detailed information of LPMs closure (i.e., area and duration) was obtained from the Ministry of Agriculture. We used a generalized linear model with a Poisson link to estimate the effect of LPMs closure, reported as relative risk reduction (RRR). We used classification and regression trees (CARTs) model to select and quantify the dominant factor of H7N9 infection. Results All five cities implemented the LPMs closure, and the risk of H7N9 infection decreased significantly after LPMs closure with RRR ranging from 0.80 to 0.93. Respectively, a long-term LPMs closure for 10–13 weeks elicited a sustained and highly significant risk reduction of H7N9 infection (RRR = 0.98). Short-time LPMs closure with 2 weeks in every epidemic did not reduce the risk of H7N9 infection (p > 0.05). Partially closed LPMs in some suburbs contributed only 35% for reduction rate (RRR = 0.35). Shenzhen implemented partial closure for first 3 epidemics (p > 0.05) and all closure in the latest 2 epidemic waves (RRR = 0.64). Conclusion Our findings suggest that LPMs all closure in whole city can be a highly effective measure comparing with partial closure (i.e. only urban closure, suburb and rural remain open). Extend the duration of closure and consider permanently closing the LPMs will help improve the control effect. The effect of LPMs closure seems greater than that of meteorology on H7N9 transmission.
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Affiliation(s)
- Ying Chen
- School of Public Health, Key Laboratory of Tropical Diseases Control of Ministry of Education, One Health Center of Excellence for Research &Training, Sun Yat-sen University, Guangzhou, China.,School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Jian Cheng
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Zhiwei Xu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Wenbiao Hu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Jiahai Lu
- School of Public Health, Key Laboratory of Tropical Diseases Control of Ministry of Education, One Health Center of Excellence for Research &Training, Sun Yat-sen University, Guangzhou, China.
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22
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Thurain K, Mon PP, Nasamran C, Charoenkul K, Boonyapisitsopa S, Tun TN, San YY, Aye AM, Amonsin A. Surveillance of influenza A virus subtype H5N1 in a live bird market in Yangon, Myanmar: 2017-2018. Transbound Emerg Dis 2020; 67:2667-2678. [PMID: 32386461 DOI: 10.1111/tbed.13618] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 04/29/2020] [Accepted: 05/01/2020] [Indexed: 01/06/2023]
Abstract
A survey of influenza A viruses (IAVs) in the Mingalar Taung Nyunt live bird market (MTN-LBM), Yangon, Myanmar, was conducted from December 2017 to December 2018. During the survey, 455 swab samples were collected from broilers, layers, backyard chickens and ducks from the MTN-LBM. Ninety-one pooled samples were screened for IAVs by real-time RT-PCR specific to the M gene. Positive pooled samples were individually retested for IAVs. In total, 2.63% of individual samples (12/455) were positive for IAVs. Out of 12 samples, seven samples from layer chickens and the environment were identified as IAV subtype H5N1. In this study, four IAVs were successfully isolated and further characterized by whole genome sequencing. Whole genome sequence analysis revealed that the viruses were characterized as highly pathogenic avian influenza virus subtype H5N1 (HPAIV-H5N1) of clade 2.3.2.1c. Phylogenetic and genetic analyses showed that Myanmar HPAIV-H5N1 was closely related to HPAIV-H5N1 clade 2.3.2.1c isolated from China and Vietnam in 2014. Our results suggested that the live bird market in Myanmar represents a significant risk of HPAIV-H5N1 transmission in poultry and humans. Moreover, HPAIV-H5N1 clade 2.3.2.1c is widely distributed in South-East Asia including Myanmar.
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Affiliation(s)
- Khin Thurain
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Livestock Breeding and Veterinary Department, Ministry of Agriculture, Livestock and Irrigation, Nay Pyi Taw, Myanmar
| | - Pont Pont Mon
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Livestock Breeding and Veterinary Department, Ministry of Agriculture, Livestock and Irrigation, Nay Pyi Taw, Myanmar
| | - Chanakarn Nasamran
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Kamonpan Charoenkul
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Supanat Boonyapisitsopa
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
| | - Than Naing Tun
- Livestock Breeding and Veterinary Department, Ministry of Agriculture, Livestock and Irrigation, Nay Pyi Taw, Myanmar
| | - Yin Yin San
- Livestock Breeding and Veterinary Department, Ministry of Agriculture, Livestock and Irrigation, Nay Pyi Taw, Myanmar
| | - Aung Myo Aye
- Livestock Breeding and Veterinary Department, Ministry of Agriculture, Livestock and Irrigation, Nay Pyi Taw, Myanmar
| | - Alongkorn Amonsin
- Center of Excellence for Emerging and Re-emerging Infectious Diseases in Animals, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.,Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand
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Quan C, Wang Q, Zhang J, Zhao M, Dai Q, Huang T, Zhang Z, Mao S, Nie Y, Liu J, Xie Y, Zhang B, Bi Y, Shi W, Liu P, Wang D, Feng L, Yu H, Liu WJ, Gao GF. Avian Influenza A Viruses among Occupationally Exposed Populations, China, 2014-2016. Emerg Infect Dis 2020; 25:2215-2225. [PMID: 31742536 PMCID: PMC6874249 DOI: 10.3201/eid2512.190261] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023] Open
Abstract
To determine the seroprevalence and seroconversion of avian influenza virus (AIV) antibodies in poultry workers, we conducted a seroepidemiologic study in 7 areas of China during December 2014–April 2016. We used viral isolation and reverse transcription PCR to detect AIVs in specimens from live poultry markets. We analyzed 2,124 serum samples obtained from 1,407 poultry workers by using hemagglutination inhibition and microneutralization assays. We noted seroprevalence of AIV antibodies for subtypes H9N2, H7N9, H6N1, H5N1-SC29, H5N6, H5N1-SH199, and H6N6. In serum from participants with longitudinal samples, we noted seroconversion, with >4-fold rise in titers, for H9N2, H7N9, H6N1, H5N1-SC29, H6N6, H5N6, and H5N1-SH199 subtypes. We found no evidence of H10N8 subtype. The distribution of AIV antibodies provided evidence of asymptomatic infection. We found that AIV antibody prevalence in live poultry markets correlated with increased risk for H7N9 and H9N2 infection among poultry workers.
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24
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Prior exposure to immunogenic peptides found in human influenza A viruses may influence the age distribution of cases with avian influenza H5N1 and H7N9 virus infections. Epidemiol Infect 2020; 147:e213. [PMID: 31364549 PMCID: PMC6624876 DOI: 10.1017/s095026881900102x] [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] [Indexed: 11/07/2022] Open
Abstract
The epidemiology of H5N1 and H7N9 avian viruses of humans infected in China differs despite both viruses being avian reassortants that have inherited six internal genes from a common ancestor, H9N2. The median age of infected populations is substantially younger for H5N1 virus (26 years) compared with H7N9 virus (63 years). Population susceptibility to infection with seasonal influenza is understood to be influenced by cross-reactive CD8+ T cells directed towards immunogenic peptides derived from internal viral proteins which may provide some level of protection against further influenza infection. Prior exposure to seasonal influenza peptides may influence the age-related infection patterns observed for H5N1 and H7N9 viruses. A comparison of relatedness of immunogenic peptides between historical human strains and the two avian emerged viruses was undertaken for a possible explanation in the differences in age incidence observed. There appeared to be some relationship between past exposure to related peptides and the lower number of H5N1 virus cases in older populations, however the relationship between prior exposure and older populations among H7N9 virus patients was less clear.
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25
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Cheng KL, Wu J, Shen WL, Wong AY, Guo Q, Yu J, Zhuang X, Su W, Song T, Peiris M, Yen HL, Lau EH. Avian Influenza Virus Detection Rates in Poultry and Environment at Live Poultry Markets, Guangdong, China. Emerg Infect Dis 2020; 26:591-595. [PMID: 31922954 PMCID: PMC7045814 DOI: 10.3201/eid2603.190888] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [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
We report the use of environmental samples to assess avian influenza virus activity in chickens at live poultry markets in China. Results of environmental and chicken samples correlate moderately well. However, collection of multiple environmental samples from holding, processing, and selling areas is recommended to detect viruses expected to have low prevalence.
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26
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Li HY, Zhu GJ, Zhang YZ, Zhang LB, Hagan EA, Martinez S, Chmura AA, Francisco L, Tai H, Miller M, Daszak P. A qualitative study of zoonotic risk factors among rural communities in southern China. Int Health 2020; 12:77-85. [PMID: 32040190 PMCID: PMC7017878 DOI: 10.1093/inthealth/ihaa001] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 12/18/2019] [Accepted: 01/08/2020] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Strategies are urgently needed to mitigate the risk of zoonotic disease emergence in southern China, where pathogens with zoonotic potential are known to circulate in wild animal populations. However, the risk factors leading to emergence are poorly understood, which presents a challenge in developing appropriate mitigation strategies for local communities. METHODS Residents in rural communities of Yunnan, Guangxi and Guangdong provinces were recruited and enrolled in this study. Data were collected through ethnographic interviews and field observations, and thematically coded and analysed to identify both risk and protective factors for zoonotic disease emergence at the individual, community and policy levels. RESULTS Eighty-eight ethnographic interviews and 55 field observations were conducted at nine selected sites. Frequent human-animal interactions and low levels of environmental biosecurity in local communities were identified as risks for zoonotic disease emergence. Policies and programmes existing in the communities provide opportunities for zoonotic risk mitigation. CONCLUSIONS This study explored the relationship among zoonotic risk and human behaviour, environment and policies in rural communities in southern China. It identifies key behavioural risk factors that can be targeted for development of tailored risk-mitigation strategies to reduce the threat of novel zoonoses.
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Affiliation(s)
- Hong-Ying Li
- EcoHealth Alliance, 460 West 34th Street, New York, NY 10001, USA
| | - Guang-Jian Zhu
- EcoHealth Alliance, 460 West 34th Street, New York, NY 10001, USA
| | - Yun-Zhi Zhang
- Institute of Preventive Medicine, Dali University, Dali, 671000, China
| | - Li-Biao Zhang
- Guangdong Institute of Applied Biological Resources, Guangdong Academy of Sciences, #105 Xingang Road West, Guangzhou, 510260, China
| | - Emily A Hagan
- EcoHealth Alliance, 460 West 34th Street, New York, NY 10001, USA
| | | | - Aleksei A Chmura
- EcoHealth Alliance, 460 West 34th Street, New York, NY 10001, USA
| | - Leilani Francisco
- Henry M Jackson Foundation for the Advancement of Military Medicine, Bethesda, MD 20817, USA
| | - Hina Tai
- School of Medicine, St. George's University, Great River, NY 11739, USA
| | - Maureen Miller
- Mailman School of Public Health, Columbia University, New York, NY 10032, USA
| | - Peter Daszak
- EcoHealth Alliance, 460 West 34th Street, New York, NY 10001, USA
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27
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Shi N, Huang J, Zhang X, Bao C, Yue N, Wang Q, Cui T, Zheng M, Huo X, Jin H. Interventions in Live Poultry Markets for the Control of Avian Influenza: A Systematic Review and Meta-analysis. J Infect Dis 2020; 221:553-560. [PMID: 31323094 DOI: 10.1093/infdis/jiz372] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 07/11/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND This review aimed to provide constructive suggestions for the control and management of avian influenza through quantitative and qualitative evaluation of the impact of different live poultry market (LPM) interventions. METHODS Both English and Chinese language databases were searched for articles that were published on or before 9 November 2018. After extraction and assessment of the included literature, Stata14.0 was applied to perform a meta-analysis to explore the impacts of LPM interventions. RESULTS A total of 19 studies were identified. In total, 224 human, 3550 poultry, and 13 773 environment samples were collected before the intervention; 181 people, 4519 poultry, and 9562 environments were sampled after LPM interventions. Avian influenza virus (AIV) detection rates in the LPM environment (odds ratio [OR], 0.393; 95% confidence interval [CI], 0.262-0.589) and the incidence of AIV infection (OR, 0.045; 95% CI, 0.025-0.079) were significantly lower after LPM interventions, while interventions were not significantly effective in reducing AIV detection in poultry samples (OR, 0.803; 95% CI, 0.403-1.597). CONCLUSIONS LPM interventions can reduce AIV human infections and the detection rate of AIV in market environments.
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Affiliation(s)
- Naiyang Shi
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Jinxin Huang
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Xuefeng Zhang
- Jiangsu Center of Disease Control and Prevention, Nanjing, China
| | - Changjun Bao
- Jiangsu Center of Disease Control and Prevention, Nanjing, China
| | - Na Yue
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Qiang Wang
- Department of Epidemiology and Health Statistics, Nanjing, China
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, Nanjing, China
| | - Mengyun Zheng
- Department of Epidemiology and Health Statistics, Nanjing, China
| | - Xiang Huo
- Jiangsu Center of Disease Control and Prevention, Nanjing, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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28
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Wu X, Xiao L, Li L. Research progress on human infection with avian influenza H7N9. Front Med 2020; 14:8-20. [PMID: 31989396 PMCID: PMC7101792 DOI: 10.1007/s11684-020-0739-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 11/28/2019] [Indexed: 11/28/2022]
Abstract
Since the first case of novel H7N9 infection was reported, China has experienced five epidemics of H7N9. During the fifth wave, a highly pathogenic H7N9 strain emerged. Meanwhile, the H7N9 virus continues to accumulate mutations, and its affinity for the human respiratory epithelial sialic acid 2–6 receptor has increased. Therefore, a pandemic is still possible. In the past 6 years, we have accumulated rich experience in dealing with H7N9, especially in terms of virus tracing, epidemiological research, key site mutation monitoring, critical disease mechanisms, clinical treatment, and vaccine development. In the research fields above, significant progress has been made to effectively control the spread of the epidemic and reduce the fatality rate. To fully document the research progress concerning H7N9, we reviewed the clinical and epidemiological characteristics of H7N9, the key gene mutations of the virus, and H7N9 vaccine, thus providing a scientific basis for further monitoring and prevention of H7N9 influenza epidemics.
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Affiliation(s)
- Xiaoxin Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Lanlan Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
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29
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Manara S, Asnicar F, Beghini F, Bazzani D, Cumbo F, Zolfo M, Nigro E, Karcher N, Manghi P, Metzger MI, Pasolli E, Segata N. Microbial genomes from non-human primate gut metagenomes expand the primate-associated bacterial tree of life with over 1000 novel species. Genome Biol 2019; 20:299. [PMID: 31883524 PMCID: PMC6935492 DOI: 10.1186/s13059-019-1923-9] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 12/16/2019] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Humans have coevolved with microbial communities to establish a mutually advantageous relationship that is still poorly characterized and can provide a better understanding of the human microbiome. Comparative metagenomic analysis of human and non-human primate (NHP) microbiomes offers a promising approach to study this symbiosis. Very few microbial species have been characterized in NHP microbiomes due to their poor representation in the available cataloged microbial diversity, thus limiting the potential of such comparative approaches. RESULTS We reconstruct over 1000 previously uncharacterized microbial species from 6 available NHP metagenomic cohorts, resulting in an increase of the mappable fraction of metagenomic reads by 600%. These novel species highlight that almost 90% of the microbial diversity associated with NHPs has been overlooked. Comparative analysis of this new catalog of taxa with the collection of over 150,000 genomes from human metagenomes points at a limited species-level overlap, with only 20% of microbial candidate species in NHPs also found in the human microbiome. This overlap occurs mainly between NHPs and non-Westernized human populations and NHPs living in captivity, suggesting that host lifestyle plays a role comparable to host speciation in shaping the primate intestinal microbiome. Several NHP-specific species are phylogenetically related to human-associated microbes, such as Elusimicrobia and Treponema, and could be the consequence of host-dependent evolutionary trajectories. CONCLUSIONS The newly reconstructed species greatly expand the microbial diversity associated with NHPs, thus enabling better interrogation of the primate microbiome and empowering in-depth human and non-human comparative and co-diversification studies.
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Affiliation(s)
- Serena Manara
- CIBIO Department, University of Trento, Trento, Italy
| | | | | | | | - Fabio Cumbo
- CIBIO Department, University of Trento, Trento, Italy
| | - Moreno Zolfo
- CIBIO Department, University of Trento, Trento, Italy
| | | | | | - Paolo Manghi
- CIBIO Department, University of Trento, Trento, Italy
| | | | - Edoardo Pasolli
- Department of Agricultural Sciences, University of Naples Federico II, Portici, Italy
| | - Nicola Segata
- CIBIO Department, University of Trento, Trento, Italy.
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30
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31
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Udemba EN, Güngör H, Bekun FV. Environmental implication of offshore economic activities in Indonesia: a dual analyses of cointegration and causality. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:32460-32475. [PMID: 31617136 DOI: 10.1007/s11356-019-06352-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 08/29/2019] [Indexed: 05/22/2023]
Abstract
Global warming issues have become a pertinent theme for many economies and policy initiatives. The Indonesian economy is no exception as government officials and stakeholder are working seriously to decouple carbon emission from economic growth. It is on this premise that the present study attempts to investigate the nexus between the environmental implication of offshore economic activities, economic growth, energy use, and environment (CO2) with the integration of foreign direct investment (FDI) and trade openness over recent time series data from 1980 to 2017. A series of analysis were conducted with Pesaran's autoregressive distributed lag (ARDL) methodology and the Granger causality test as estimation techniques over the outlined variables. Empirical findings from ARDL long-run (elasticity) shows that economic growth is significantly positively associated with carbon emissions at the initial stage but a negative association is established at lags 1 and 2. A significant positive relationship is witnessed between economic growth and FDI. Also, statistical positive relationship is observed between economic growth and energy use, while an inverse relationship is observed between openness and economic growth. For causality analysis, we observe that a uni-directional causality is running from economic growth to foreign direct investment at 5% significant level. This outcome is in support of the growth-induced FDI hypothesis in Indonesia. Furthermore, a one-way causality is seen from energy to openness, CO2 emissions, and from FDI to CO2 emissions while there is a feedback causality between openness and CO2 emissions. The findings of this study have implications to the environmental quality of Indonesia via economic growth; hence, the higher and better the economic growth of the country, the lesser the carbon emissions and the better the environmental quality. This proposition aligns with the pollution halo hypothesis (PHH), where FDI inflow enhances economic growth as well as impacts energy consumption and reduces carbon emissions in the host country.
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Affiliation(s)
- Edmund Ntom Udemba
- Faculty of Economics Administrative and Social Science, Istanbul Gelisim University, Istanbul, Turkey.
| | - Hasan Güngör
- Department of Economics, Eastern Mediterranean University, Famagusta, North Cyprus, Turkey
| | - Festus Victor Bekun
- Faculty of Economics Administrative and Social Science, Istanbul Gelisim University, Istanbul, Turkey
- Department of Accounting , Analysis and Audit, School of Economics and Managment, South Ural State University, 76, Lenin Aven, Chelyabinsk, 454080, Russia
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32
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Bar-Peled Y, Huang J, Nuñez IA, Pierce SR, Ecker JW, Ross TM, Mousa JJ. Structural and antigenic characterization of a computationally-optimized H5 hemagglutinin influenza vaccine. Vaccine 2019; 37:6022-6029. [PMID: 31481254 PMCID: PMC6736729 DOI: 10.1016/j.vaccine.2019.08.062] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2019] [Revised: 08/16/2019] [Accepted: 08/25/2019] [Indexed: 12/15/2022]
Abstract
Influenza A virus is a leading cause of death worldwide. Viruses of the H5 subtype have the potential to induce high mortality, and no vaccines are currently available to protect against H5 influenza viruses in the event of an outbreak. Experimental vaccination with one clade 2 virus does not protect against other subclades. The computationally optimized broadly reactive (COBRA) methodology was previously used to generate a H5 hemagglutinin (HA) antigen (COBRA2) that elicited increased serological breadth against multiple clade 2 H5N1 influenza viruses. In this report, we structurally and antigenically characterized the COBRA2 HA antigen. We examined the biochemical characteristics of the COBRA2 protein and determined the protein is correctly cleaved, properly folded into a trimeric structure, and antigenically correct by probing with HA head- and stem-specific monoclonal antibodies (mAbs). We further probed the antigenicity by examining binding of a panel of H5 mouse mAbs to the COBRA2 antigen, as well as several other HA antigens. We determined the X-ray crystal structure of the COBRA2 HA antigen to 2.8 Å and the protein was observed to be in the expected trimeric form. The COBRA2 HA was structurally similar to the naturally occurring H5 HA antigens and suggests the protein folds similar to known HA structures. Overall, our data allow us to formulate a hypothesis on the mechanism of increased breadth due to vaccination with the COBRA2 HA antigen, which is that the protein incorporates antigenic sites from numerous HA antigens, and elicits mAbs with limited breadth, but with diversity in targeted antigenic sites.
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Affiliation(s)
- Yael Bar-Peled
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States
| | - Jiachen Huang
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States; Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States
| | - Ivette A Nuñez
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States; Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States
| | - Spencer R Pierce
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States
| | - Jeffrey W Ecker
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States
| | - Ted M Ross
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States; Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States
| | - Jarrod J Mousa
- Center for Vaccines and Immunology, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States; Department of Infectious Diseases, College of Veterinary Medicine, University of Georgia, Athens, GA 30602, United States.
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33
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Borkenhagen LK, Salman MD, Ma MJ, Gray GC. Animal influenza virus infections in humans: A commentary. Int J Infect Dis 2019; 88:113-119. [PMID: 31401200 DOI: 10.1016/j.ijid.2019.08.002] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2019] [Revised: 07/29/2019] [Accepted: 08/04/2019] [Indexed: 12/19/2022] Open
Abstract
Here we review evidence for influenza A viruses (IAVs) moving from swine, avian, feline, equine, and canine species to infect humans. We review case reports, sero-epidemiological, archeo-epidemiological, environmental, and historical studies and consider trends in livestock farming. Although this focused review is not systematic, the aggregated data point to industrialized swine farming as the most likely source of future pandemic viruses, yet IAV surveillance on such farms is remarkably sparse. We recommend increased biosafety and biosecurity training for farm administrators and swine workers with One Health-oriented virus surveillance throughout industrialized farming and meat production lines. Collaborative partnerships with human medical researchers could aid in efforts to mitigate emerging virus threats by offering new surveillance and diagnostic technologies to livestock farming industries.
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Affiliation(s)
- Laura K Borkenhagen
- Division of Infectious Diseases, School of Medicine, & Global Health Institute, Duke University, Durham, NC, USA
| | - Mo D Salman
- Animal Population Health Institute, College of Veterinary Medicine and Biomedical Sciences, Colorado State University, Fort Collins, CO, USA
| | - Mai-Juan Ma
- State Key Laboratory of Pathogen and Biosecurity, Beijing Institute of Microbiology and Epidemiology, Beijing, China
| | - Gregory C Gray
- Division of Infectious Diseases, School of Medicine, & Global Health Institute, Duke University, Durham, NC, USA; Global Health Research Center, Duke Kunshan University, Kunshan, China; Emerging Infectious Diseases Program, Duke-NUS Medical School, Singapore.
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34
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Wu JY, Lau EH, Yuan J, Lu ML, Xie CJ, Li KB, Ma XW, Chen JD, Liu YH, Cao L, Li MX, Di B, Liu YF, Lu JY, Li TG, Xiao XC, Wang DH, Yang ZC, Lu JH. Transmission risk of avian influenza virus along poultry supply chains in Guangdong, China. J Infect 2019; 79:43-48. [PMID: 31100365 DOI: 10.1016/j.jinf.2019.05.006] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2018] [Revised: 04/02/2019] [Accepted: 05/10/2019] [Indexed: 01/09/2023]
Abstract
OBJECTIVES Avian influenza viruses (AIVs) poise significant risk to human health and the poultry industry. We evaluated the transmission risk along the poultry supply chain. METHODS During October 2015 and July 2016, four rounds of cross-sectional surveys were performed to characterize AIV spread in farms, transport vehicles, slaughterhouses, wholesale and retail live poultry markets (LPMs). Poultry cloacal and oral swabs, environmental swabs, bioaerosol samples and human sera were collected. Poultry and environmental samples were tested for AIVs by rRT-PCR, further subtyped by next generation sequencing. Previous human H9N2 infections were identified by hemagglutination inhibition and microneutralization tests. Logistic regression was fitted to compare AIV transmission risk in different settings. RESULTS AIVs was detected in 23.9% (424/1771) of the poultry and environmental samples. AIV detection rates in farms, transport vehicles, wholesale and retail LPMs were 4.5%, 11.1%, 30.3% and 51.2%, respectively. 5.2%, 8.3% and 12.8% of the poultry workers were seropositive in farms, wholesale and retail LPMs, respectively. The regression analysis showed that virus detection and transmission risk to human increased progressively along the poultry supply chain. CONCLUSIONS Strengthening control measures at every level along the poultry supply chain, using a one health approach, is crucial to control AIV circulation.
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Affiliation(s)
- Jian-Yong Wu
- School of Public Health, Sun Yat-Sen University, Guangzhou, China.
| | - Eric Hy Lau
- School of Public Health, The University of Hong Kong, Hong Kong SAR, China.
| | - Jun Yuan
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Ming-Ling Lu
- School of Public Health, Sun Yat-Sen University, Guangzhou, China.
| | - Chao-Jun Xie
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Kui-Biao Li
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Xiao-Wei Ma
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Jian-Dong Chen
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Yan-Hui Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Lan Cao
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Mei-Xia Li
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Biao Di
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Yu-Fei Liu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Jian-Yun Lu
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Tie-Gang Li
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Xin-Cai Xiao
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Da-Hu Wang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Zhi-Cong Yang
- Guangzhou Center for Disease Control and Prevention, Guangzhou, China.
| | - Jia-Hai Lu
- School of Public Health, Sun Yat-Sen University, Guangzhou, China; One Health Center of Excellence for Research and Training, Guangzhou, China; Key Laboratory for Tropical Disease Control, Ministry of Education, Guangzhou, China.
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Honce R, Schultz-Cherry S. Influenza in obese travellers: increased risk and complications, decreased vaccine effectiveness. J Travel Med 2019; 26:taz020. [PMID: 30924873 PMCID: PMC6509472 DOI: 10.1093/jtm/taz020] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2019] [Revised: 03/11/2019] [Accepted: 03/13/2019] [Indexed: 01/18/2023]
Abstract
BACKGROUND Obesity is a worldwide epidemic and was empirically shown to increase the risk of developing severe influenza virus infection. As international travel becomes more common and obesity is now prevalent even in low- and middle-income countries, travellers may have an increased risk of contracting influenza virus especially during peak influenza season. METHODS An analysis of the literature, centred on publications from 2014-19, was performed, with an emphasis on human epidemiological data, human studies ex vivo and studies in mouse models of obesity. Our search efforts focused on influenza disease severity, pathogenesis, evolutionary dynamics and measures of infection control in the obese and overweight host. RESULTS Obesity is associated with an increased risk of infection, as well as a greater chance for hospitalization and severe complications. Studies in mouse models of obesity have uncovered that obese hosts suffer increased viral spread, delayed viral clearance and heightened damage to the respiratory epithelium. Innate and adaptive immune responses are delayed, thus increasing morbidity and mortality. Further, infection control measures, including vaccination and antivirals, prove less effective in obese hosts. Finally, the obese microenvironment allows for increased duration and amount of viral shedding and potentially increases the chance for emergence of virulent minor variants in the viral population. Together, obese hosts are at high risk of influenza infection, as well as severe sequelae following infection. CONCLUSION Obese travellers should be aware of influenza activity in the regions visited, as well as take protective measures prior to travel. Vaccination is highly recommended for all travellers, but especially highly susceptible obese travellers.
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Affiliation(s)
- Rebekah Honce
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, USA
- Department of Microbiology, Immunology and Biochemistry, University of Tennessee Health Science Center, Memphis, TN, USA
| | - Stacey Schultz-Cherry
- Department of Infectious Diseases, St. Jude Children’s Research Hospital, Memphis, TN, USA
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A novel partial lid for mechanical defeatherers reduced aerosol dispersion during processing of avian influenza virus infected poultry. PLoS One 2019; 14:e0216478. [PMID: 31067261 PMCID: PMC6505957 DOI: 10.1371/journal.pone.0216478] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2018] [Accepted: 04/22/2019] [Indexed: 11/28/2022] Open
Abstract
Infectious virus-laden aerosols generated during poultry processing may mediate airborne transmissions of avian influenza at live poultry markets. To develop effective control measures to reduce aerosol dispersion, we characterised the aerosol flow pattern of the mechanical defeatherers, a major source of aerosol dispersion during poultry processing at live poultry markets in China. Mechanical defeatherers create a strong air circulation during operation with inflow and outflow velocities over 1 m/s. A partial lid was designed to suppress the outflow and reduce aerosol dispersion. Computational fluid dynamics simulations confirmed that the partial lid prototype reduced the aerosol escape rate by over 65%. To validate the effectiveness of the partial lid in reducing aerosol dispersion, a field study was conducted at a retail poultry shop in Guangzhou and the concentrations of influenza viral RNA and avian 18S rRNA dispersed in air were monitored during poultry processing, with and without the use of the partial lid. At the breathing zone of the poultry worker, the use of the partial lid effectively suppressed the upward airflow and reduced the concentration of avian 18S rRNA in the air by 57%. The economic and practical partial lid can be easily implemented to reduce generation of influenza virus-laden aerosols at live poultry markets.
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Shan X, Lai S, Liao H, Li Z, Lan Y, Yang W. The epidemic potential of avian influenza A (H7N9) virus in humans in mainland China: A two-stage risk analysis. PLoS One 2019; 14:e0215857. [PMID: 31002703 PMCID: PMC6474630 DOI: 10.1371/journal.pone.0215857] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2018] [Accepted: 04/09/2019] [Indexed: 11/18/2022] Open
Abstract
Background From 2013 to 2017, more than one thousand avian influenza A (H7N9) confirmed cases with hundreds of deaths were reported in mainland China. To identify priorities for epidemic prevention and control, a risk assessing framework for subnational variations is needed to define the epidemic potential of A (H7N9). Methods We established a consolidated two-stage framework that outlined the potential epidemic of H7N9 in humans: The Stage 1, index-case potential, used a Boosted Regression Trees model to assess population at risk due to spillover from poultry; the Stage 2, epidemic potential, synthesized the variables upon a framework of the Index for Risk Management to measure epidemic potential based on the probability of hazards and exposure, the vulnerability and coping capacity. Results Provinces in southern and eastern China, especially Jiangsu, Zhejiang, Guangzhou, have high index-case potential of human infected with A (H7N9), while northern coastal provinces and municipalities with low morbidity, i.e. Tianjin and Liaoning, have an increasing risk of A (H7N9) infection. Provinces in central China are likely to have high potential of epidemic due to the high vulnerability and the lack of coping capacity. Conclusions This study provides a unified risk assessment of A (H7N9) to detect the two-stage heterogeneity of epidemic potential among different provinces in mainland China, allowing proactively evaluate health preparedness at subnational levels to improve surveillance, diagnostic capabilities, and health promotion.
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Affiliation(s)
- Xuzheng Shan
- Department of Epidemiology and Biostatistics, School of Public Health, Sichuan University, Chengdu, Sichuan, China
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Shengjie Lai
- WorldPop, School of Geography and Environment, University of Southampton, Southampton, United Kingdom
- School of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai, China
- Flowminder Foundation, Stockholm, Sweden
| | - Hongxiu Liao
- Department of Epidemiology and Biostatistics, School of Public Health, Sichuan University, Chengdu, Sichuan, China
| | - Zhongjie Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yajia Lan
- Department of Environmental Health and Occupational Medicine, School of Public Health, Sichuan University, Chengdu, Sichuan, China
- * E-mail: (WY); (YL)
| | - Weizhong Yang
- Department of Epidemiology and Biostatistics, School of Public Health, Sichuan University, Chengdu, Sichuan, China
- Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail: (WY); (YL)
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Wu J, Ke C, Lau EH, Song Y, Cheng KL, Zou L, Kang M, Song T, Peiris M, Yen HL. Influenza H5/H7 Virus Vaccination in Poultry and Reduction of Zoonotic Infections, Guangdong Province, China, 2017-18. Emerg Infect Dis 2019; 25:116-118. [PMID: 30355435 PMCID: PMC6302570 DOI: 10.3201/eid2501.181259] [Citation(s) in RCA: 46] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
We compared the detection frequency of avian influenza H7 subtypes at live poultry markets in Guangdong Province, China, before and after the introduction of a bivalent H5/H7 vaccine in poultry. The vaccine was associated with a 92% reduction in H7 positivity rates among poultry and a 98% reduction in human H7N9 cases.
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Wu J, Ke C, Lau EH, Song Y, Cheng KL, Zou L, Kang M, Song T, Peiris M, Yen HL. Influenza H5/H7 Virus Vaccination in Poultry and Reduction of Zoonotic Infections, Guangdong Province, China, 2017–18. Emerg Infect Dis 2019. [DOI: 10.3201/eid2501181259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
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40
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Lei X, Jing S, Zeng X, Lin Y, Li X, Xing Q, Zhong X, Østbye T. Knowledge, attitudes and practices towards avian influenza among live poultry market workers in Chongqing, China. Prev Vet Med 2019; 162:151-159. [DOI: 10.1016/j.prevetmed.2018.12.004] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/24/2018] [Revised: 11/24/2018] [Accepted: 12/06/2018] [Indexed: 01/07/2023]
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41
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Sullivan JD, Takekawa JY, Spragens KA, Newman SH, Xiao X, Leader PJ, Smith B, Prosser DJ. Waterfowl Spring Migratory Behavior and Avian Influenza Transmission Risk in the Changing Landscape of the East Asian-Australasian Flyway. Front Ecol Evol 2018. [DOI: 10.3389/fevo.2018.00206] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
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Wang SJ, Liu XW, Shen X, Hua XG, Cui L. Epidemiological and molecular analysis of avian influenza A(H7N9) virus in Shanghai, China, 2013-2017. Infect Drug Resist 2018; 11:2411-2424. [PMID: 30538508 PMCID: PMC6254586 DOI: 10.2147/idr.s179517] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Background Human infections with a novel avian influenza A virus (H7N9) were reported in Shanghai municipality, China, at the beginning of 2013. High-pathogenic avian influenza (HPAI) H7N9 virus emerged in late February 2017 along with existing low-pathogenic avian influenza (LPAI) H7N9 virus, and this has the potential to develop into a pandemic that could be harmful to humans. Methods To elucidate the epidemiological characteristics of H7N9-infected cases from 2013 to 2017 in Shanghai, data on the 59 laboratory-confirmed human cases and 26 bird and environmental contamination cases were collected from the WHO website and Food and Agriculture Organization Emergency Prevention System for Animal Health (FAO EMPRES-AH). Full-length sequences of H7N9 viruses that emerged in Shanghai were collected from the Global Initiative on Sharing Avian Influenza Data to analyze the evolutionary and genetic features. Results We found that genetically different strains emerged in every epidemic in Shanghai, and most of the circulating H7N9 strains had affinity to human-type receptors, with the characteristics of high-virulence and low-pathogenic influenza viruses. Furthermore, our findings suggest that the Shanghai chicken strains are closely related to the HPAI H7N9 virus A/Guangdong/17SF003/2016, indicating that this viral strain is of avian origin and generated from the LPAI H7N9 viruses in Shanghai. The gradual decrease in H7N9 human infection in Shanghai was probably due to the control measures taken by the Shanghai government and the enhanced public awareness leading to a reduced risk of H7N9 virus infection. However, LPAI H7N9 viruses from poultry and environmental samples were continually detected in Shanghai across the epidemics, increasing the risk of new emerging H7N9 outbreaks. Conclusion It is important to consistently obtain sufficient surveillance data and implement prevention measures against H7N9 viruses in Shanghai municipality.
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Affiliation(s)
- Seong Jin Wang
- Department of Animal Science, Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China, .,Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China, .,Animal and Plant Quarantine Agency, Gimcheon 39660, Republic of Korea
| | - Xue Wei Liu
- Department of Animal Science, Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China,
| | - Xiaojuan Shen
- Department of Animal Science, Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China, .,Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China,
| | - Xiu Guo Hua
- Department of Animal Science, Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China, .,Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China,
| | - Li Cui
- Department of Animal Science, Shanghai Key Laboratory of Veterinary Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China, .,Department of Animal Science, School of Agriculture and Biology, Shanghai Jiao Tong University, Shanghai 200240, China,
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Affiliation(s)
- Majid Ezzati
- School of Public Health, MRC-PHE Centre for Environment and Health, WHO Collaborating Centre on Non-Communicable Disease Surveillance and Epidemiology, Imperial College London,
| | | | | | - Sabina Rashid
- James P Grant School of Public Health, BRAC University, Dhaka, Bangladesh
| | - George Owusu
- Centre for Urban Management Studies, Institute of Statistical, Social and Economic Research (ISSER), University of Ghana, Accra, Ghana
| | - Gabriel M Leung
- LKS Faculty of Medicine, The University of Hong Kong, Hong Kong, China
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Needs Assessment for a Targeted Health Promotion Campaign. Disaster Med Public Health Prep 2018; 13:596-604. [PMID: 30277184 DOI: 10.1017/dmp.2018.97] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
ABSTRACTSince the first human A/H7N9 infection in Hong Kong, there has been an ongoing threat of human-to-human transmission, potentially causing a pandemic. Because there is no vaccine for A/H7N9, the individual preventive measures become all the more important for reducing transmission. However, due to the ongoing threat of numerous avian influenza viruses, the public may suffer from pandemic-media-fatigue. This study was done to assess the need for a targeted A/H7N9 health promotion campaign. Steven and Gillam's framework using epidemiological, comparative, and corporate approaches was used to assess the need for a targeted A/H7N9 health promotion campaign.Local surveillance data showed that Hong Kong faces a double burden of increasing seasonal influenza activity and threat of an avian influenza pandemic. Experts warned of potential severity and difficulties in A/H7N9 control. In contrast, surveys showed that the Hong Kong public were suffering from pandemic-media-fatigue, lacked anxiety, had misconceptions, and were not vigilant in preventive practices. This was more evident in certain demographics. Content analysis showed that health promotion materials were not targeted or tailored in countries with human A/H7N9 cases. Targeted health promotion campaigns and framing the issue to increase public and media awareness are crucial in preventing the current pandemic-media-fatigue. (Disaster Med Public Health Preparedness. 2019;13:596-604).
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45
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Guan P, Wu W, Huang D. Trends of reported human brucellosis cases in mainland China from 2007 to 2017: an exponential smoothing time series analysis. Environ Health Prev Med 2018; 23:23. [PMID: 29921215 PMCID: PMC6010161 DOI: 10.1186/s12199-018-0712-5] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 05/29/2018] [Indexed: 12/16/2022] Open
Abstract
BACKGROUND The main objective of this study was to describe the temporal distribution of monthly reported human brucellosis cases in mainland China and develop an appropriate time series model for short-term extrapolation forecast. METHODS Surveillance data of the monthly reported human brucellosis cases occurring from April 1, 2007, to March 31, 2017, in mainland China were obtained. The spectrum analysis was first adopted to find the cyclic and seasonal features, the existence of the seasonality and trend was determined by exponential smoothing method and the seasonal-trend decomposition. The candidate models of exponential smoothing included the additive model and multiplicative model; R2 was selected as the indicator for the selection of candidate model, and the stability of the model was verified by adjusting the training data and test data set. Finally, the extrapolations of monthly incident human brucellosis cases in 2017 were made. RESULTS From April 1, 2007, to March 31, 2017, a total of 435,108 cases of Brucellosis occurred in mainland China were reported, with an average of 3626 cases per month and a standard deviation of 1834 cases. The R2 of the exponential smoothing method that based on additive model increased steadily from 0.927 to 0.949 with the increase of the data volume. Ten of 12 actual values fell in the confidence interval of predicted value. CONCLUSIONS Human brucellosis cases peaked during the months from March to August in mainland China, with clear seasonality. The exponential smoothing based on the additive model method could be effectively used in the time series analysis of human brucellosis in China. Control methods, such as vaccination, quarantine, elimination of infected animals, and good hygiene within the production cycle, should be strengthened with paying more attention to the seasonality. Further research is warranted to explore the drivers behind the seasonality.
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Affiliation(s)
- Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China
| | - Wei Wu
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China
| | - Desheng Huang
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, 110122, China. .,Department of Mathematics, School of Fundamental Sciences, China Medical University, Shenyang, 110122, China.
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46
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Keshavarz M, Dianat-Moghadam H, Sofiani VH, Karimzadeh M, Zargar M, Moghoofei M, Biglari H, Ghorbani S, Nahand JS, Mirzaei H. miRNA-based strategy for modulation of influenza A virus infection. Epigenomics 2018; 10:829-844. [DOI: 10.2217/epi-2017-0170] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
Abstract
Influenza A virus is known worldwide as a threat associated with human and livestock diseases. Hence, identification of physiological and molecular aspects of influenza A could contribute to better design of therapeutic approaches for reducing adverse effects associated with disease caused by this virus. miRNAs are epigenetic regulators playing important roles in many pathological processes that help in progression of influenza A. Besides miRNAs, exosomes have ememrged as other effective players in influenza A pathogenesis. Exosomes exert their effects via targeting their cargos (e.g., DNAs, mRNA, miRNAs and proteins) to recipient cells. Here, we summarized various roles of miRNAs and exosomes in influenza A pathogenesis. Moreover, we highlighted therapeutic applications of miRNAs and exosomes in influenza.
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Affiliation(s)
- Mohsen Keshavarz
- Department of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hassan Dianat-Moghadam
- Department of Medical Biotechnology, Faculty of Advanced Medicine Sciences, Tabriz University of Medical Science, Tabriz, Iran
| | | | - Mohammad Karimzadeh
- Department of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Mohsen Zargar
- Department of Microbiology, Faculty of Science, Qom Branch, Islamic Azad University, Qom, Iran
| | - Mohsen Moghoofei
- Department of Microbiology, Faculty of Medicine, Kermanshah University of Medical Sciences, Kermanshah, Iran
| | - Hamed Biglari
- Department of Environmental Health Engineering, School of Public Health, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Saied Ghorbani
- Department of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Javid Sadri Nahand
- Department of Virology, Faculty of Medicine, Iran University of Medical Sciences, Tehran, Iran
| | - Hamed Mirzaei
- Department of Biomaterials, Tissue Engineering & Nanotechnology, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
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Zhang D, Lin G, Zhang K, Yi L, Zhang R, Xie J, Li J. Implications of and lessons learned from external assurance of eight influenza diagnostics in China. Virus Res 2018; 249:110-115. [PMID: 29608994 DOI: 10.1016/j.virusres.2018.03.019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2017] [Revised: 02/19/2018] [Accepted: 03/29/2018] [Indexed: 11/16/2022]
Abstract
This study evaluated the ability of laboratories in the Chinese mainland to conduct molecular detection of seasonal A(H1N1), A(H1N1)pdm09, A(H3N2), A(H5N1), A(H7N9), A(H9N2), B(Victoria), and B(Yamagata). Based on a genetically engineered system of virus-like particles (VLPs), the National Center for Clinical Laboratories of China (NCCLs) developed an external quality assessment (EQA) panel. The panel was distributed to 35 laboratories in mainland China to investigate the proficiency of the 16 assays for influenza molecular detection. Using genetic engineering technology, VLPs encapsulating the 37 target genes of 8 influenza viruses were generated. After verification and quantification, 26 influenza virus surrogates with different concentrations were prepared for EQA. Among the 35 participating laboratories, 319 datasets were returned to the NCCLs. Overall, 95.6% (305/319) of datasets correctly reported all 30 samples, while 2.2% (7/319) of datasets with more than one incorrect result were considered as "improvable". A total of 16 misdiagnosed and 18 undiagnosed results were reported. The data analyzed in this study showed good reproducibility in China, but improvements are needed to decrease misdiagnosed and undiagnosed cases, particularly for the A(H9N2) NA gene. Moreover, VLPs are a good alternative specimen type for assay training and proficiency testing purposes.
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Affiliation(s)
- Dong Zhang
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China; Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China
| | - Guigao Lin
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Kuo Zhang
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Lang Yi
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Rui Zhang
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Jiehong Xie
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China
| | - Jinming Li
- National Center for Clinical Laboratories, Beijing Hospital, Beijing, People's Republic of China; Beijing Engineering Research Center of Laboratory Medicine, Beijing Hospital, Beijing, People's Republic of China; Graduate School, Peking Union Medical College, Chinese Academy of Medical Sciences, National Center for Clinical Laboratories, Beijing Hospital, National Center of Gerontology, Beijing, People's Republic of China.
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Liu T, Kang M, Zhang B, Xiao J, Lin H, Zhao Y, Huang Z, Wang X, Zhang Y, He J, Ma W. Independent and interactive effects of ambient temperature and absolute humidity on the risks of avian influenza A(H7N9) infection in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 619-620:1358-1365. [PMID: 29734613 DOI: 10.1016/j.scitotenv.2017.11.226] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2017] [Revised: 10/27/2017] [Accepted: 11/20/2017] [Indexed: 04/13/2023]
Abstract
The emergence of avian influenza A(H7N9) virus poses a pandemic threat to human beings. It was proposed that meteorological factors might be important environmental factors favoring the occurrence of H7N9 infection, but evidence is still inadequate. In this study, we aimed to investigate the independent and interactive effects of ambient temperature (TM) and absolute humidity (AH) on H7N9 infection risks in China. The individual information of all reported H7N9 cases and daily meteorological data in five provinces/municipality (Zhejiang, Jiangsu, Shanghai, Fujian, and Guangdong) in China during 2013-2016 were collected. We employed a case-crossover study design, in which the 7-10days before the onset date of each H7N9 case was defined as the hazard period, and 4weeks before the hazard period was taken as the control period. The average levels of meteorological factors were calculated during the hazard and control periods. A Cox regression model was used to estimate the independent and interactive effects of TM and vapor pressure (VP), an indicator of AH, on H7N9 infection risks. A total of 738 H7N9 cases were included in the present study. Significantly nonlinear negative associations of TM and VP with H7N9 infection risks were observed in all cases, and in cases from northern and southern regions. There were significant interactive effects between TM and VP on H7N9 infection risks, and the risks of H7N9 infection were higher in cold-dry days than other days. We further observed different risky windows of H7N9 infection in the northern (TM: 0-18°C, VP: 313mb) and southern areas (TM: 7-21°C, VP: 3-17mb). We concluded that ambient temperature and absolute humidity had significant independent and interactive effects on H7N9 infection risks in China, and the risks of H7N9 infection were higher in cold-dry days. The risky windows of H7N9 infection were different in the northern and southern areas.
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Affiliation(s)
- Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Min Kang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Bing Zhang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Hualiang Lin
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Yongqian Zhao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Zhao Huang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Xiaojie Wang
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Yonghui Zhang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Jianfeng He
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
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The temporal distribution of new H7N9 avian influenza infections based on laboratory-confirmed cases in Mainland China, 2013-2017. Sci Rep 2018; 8:4051. [PMID: 29511257 PMCID: PMC5840377 DOI: 10.1038/s41598-018-22410-w] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2017] [Accepted: 02/22/2018] [Indexed: 12/12/2022] Open
Abstract
In this study, estimates of the growth rate of new infections, based on the growth rate of new laboratory-confirmed cases, were used to provide a statistical basis for in-depth research into the epidemiological patterns of H7N9 epidemics. The incubation period, interval from onset to laboratory confirmation, and confirmation time for all laboratory-confirmed cases of H7N9 avian influenza in Mainland China, occurring between January 2013 and June 2017, were used as the statistical data. Stochastic processes theory and maximum likelihood were used to calculate the growth rate of new infections. Time-series analysis was then performed to assess correlations between the time series of new infections and new laboratory-confirmed cases. The rate of new infections showed significant seasonal fluctuation. Laboratory confirmation was delayed by a period of time longer than that of the infection (average delay, 13 days; standard deviation, 6.8 days). At the lags of −7.5 and −15 days, respectively, the time-series of new infections and new confirmed cases were significantly correlated; the cross correlation coefficients (CCFs) were 0.61 and 0.16, respectively. The temporal distribution characteristics of new infections and new laboratory-confirmed cases were similar and strongly correlated.
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Contact reductions from live poultry market closures limit the epidemic of human infections with H7N9 influenza. J Infect 2018; 76:295-304. [PMID: 29406153 DOI: 10.1016/j.jinf.2017.12.015] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2017] [Revised: 10/27/2017] [Accepted: 12/08/2017] [Indexed: 11/20/2022]
Abstract
An early steep increase in the number of humans infected with avian influenza A(H7N9) virus was observed in China, raising great public concern domestically and internationally. Little is known about the dynamics of the transmission contacts between poultry and human populations, although such understanding is essential for developing effective strategies to control this zoonosis. In this study, we evaluated the effects of contact reductions from live poultry markets (LPMs) closures on the transmission of H7N9 virus during epidemics in Guangdong Province, China. A mathematical model of the poultry-to-person transmission dynamics of H7N9 virus was constructed. The parameters in the model were estimated from publicly available data on confirmed cases of human infection and information on LPMs closure during 2013-2017. By fitting the model, we measured the time-dependent contact quantity of the susceptible population to LPMs. The results showed that periodic intervention strategies can greatly reduce the magnitude of outbreaks, and the earlier interventions for policy are implemented, the smaller is the outbreak. The control efforts for LPMs to decrease the contact quantity are critical in preventing epidemics in the long term. This model should provide important insights for the development of a national intervention strategy for the long-term control of avian influenza virus epidemics.
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