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Taha MJJ, Abuawwad MT, Alrubasy WA, Sameer SK, Alsafi T, Al-Bustanji Y, Abu-Ismail L, Nashwan AJ. Ocular manifestations of recent viral pandemics: A literature review. Front Med (Lausanne) 2022; 9:1011335. [PMID: 36213628 PMCID: PMC9537761 DOI: 10.3389/fmed.2022.1011335] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/04/2022] [Accepted: 08/30/2022] [Indexed: 12/02/2022] Open
Abstract
Viral pandemics often take the world by storm, urging the medical community to prioritize the most evident systemic manifestations, often causing ocular manifestations to go unnoticed. This literature review highlights the ocular complications of the Monkeypox, SARS-CoV-2, MERS, Ebola, H1N1, and Zika viruses as the most recent viral pandemics. Research into the effects of these pandemics began immediately. Moreover, it also discusses the ocular complications of the vaccines and treatments that were used in the scope of the viral pandemics. Additionally, this review discusses the role of the eye as an important route of viral transmission, and thereafter, the International recommendations to reduce the incidence of viral transmission were mentioned. Lastly, this paper wants to lay out a platform for researchers who want to learn more about how viruses show up in the eye.
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Affiliation(s)
- Mohammad J. J. Taha
- Department of Clinical Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Mohammad T. Abuawwad
- Department of Clinical Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Warda A. Alrubasy
- Department of Clinical Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Shams Khalid Sameer
- Department of Clinical Medicine, Faculty of Medicine, Cairo University, Cairo, Egypt
| | - Taleb Alsafi
- Department of Optometry, Western University College of Optometry, Pomona, CA, United States
| | - Yaqeen Al-Bustanji
- Department of Clinical Medicine, School of Medicine, University of Jordan, Amman, Jordan
| | - Luai Abu-Ismail
- Department of Ophthalmology, Islamic Hospital, Amman, Jordan
| | - Abdulqadir J. Nashwan
- Department of Nursing Education and Research, Hamad Medical Corporation, Doha, Qatar
- *Correspondence: Abdulqadir J. Nashwan
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2
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Qiu X, Weng J, Jiang Z, Yan C, Gu H. SINS model in the management of biosafety level 2 laboratories: exploration and practice. BIOSAFETY AND HEALTH 2020; 1:129-133. [PMID: 32501445 PMCID: PMC7148668 DOI: 10.1016/j.bsheal.2019.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2019] [Revised: 12/12/2019] [Accepted: 12/13/2019] [Indexed: 11/29/2022] Open
Abstract
A significant number of biosafety level 2 (BSL-2) laboratories have been established in many countries for studies of various types of pathogenic agents and other infectious biological materials. The harmonized management of biological risks in such diverse laboratories thus appears as a real challenge. Zhejiang Province in China has taken the initiative to establish a comprehensively integrated laboratory biosafety management system called SINS (Standardization, Informatization, Normalization and Systematization). The SINS model system has been introduced and adopted in 1,721 BSL-2 laboratories in Zhejiang Province, and thus lead to an increase in the number of biosafety committees from 20% to more than 95% from 2007 to 2018, and the number of biosafety laboratory managers who knows biosafety-related laws and regulations increase from 52.7% to 83.7% from 2009 to 2017. Such achievements indicate that the successful implementation of SINS model has increased the effective control of biological risks in BSL-2 laboratories of the Zhejiang Province. SINS model and its main effects on leading the improvement of laboratory biosafety management was presented in this review. The SINS model helps to strengthen laboratory biosafety and thus effectively reduces occurrence of biosafety-related incidences. This model can potentially be used by other regions or countries where harmonized biosafety management system is still under-developing. Zhejiang Province in China took the lead in establishing a comprehensive integrated management system of laboratory biosafety called SINS. The SINS model contains Standardization,Informatization, Normalization and Systematization. The SINS model can combine the technical with management to strengthen the laboratory biosafety management, and effectively avoid the occurrence of bio-risk. SINS model presented in this paper is aimed to cover all aspects in the biosafety management in BSL2 laboratories, consisting of such elements as policy development, administrative supervision, systematic training, documentation and information management. SINS model constructed on good experiences in other provinces, serves as a tool for analyzing, checking, and evaluating laboratory management in China.
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Affiliation(s)
- Xiaoxia Qiu
- Zhejiang Provincial Center for Medical Science Technology & Education, Hangzhou 310000, China
| | - Jingqing Weng
- Zhejiang Provincial Center for Medical Science Technology & Education, Hangzhou 310000, China
| | - Zhenggang Jiang
- Provincial Center for Disease Control and Prevention, Hangzhou 310000, China
| | - Congcong Yan
- Department of Preventive Medicine, School of Medicine, Ningbo University, Ningbo 315000, China
| | - Hua Gu
- Zhejiang Provincial Center for Medical Science Technology & Education, Hangzhou 310000, China
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Mao Y, He R, Zhu B, Liu J, Zhang N. Notifiable Respiratory Infectious Diseases in China: A Spatial-Temporal Epidemiology Analysis. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E2301. [PMID: 32235375 PMCID: PMC7177391 DOI: 10.3390/ijerph17072301] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2019] [Revised: 03/25/2020] [Accepted: 03/26/2020] [Indexed: 12/21/2022]
Abstract
Nowadays, tuberculosis, scarlet fever, measles, influenza, and mumps are five major notifiable respiratory infectious diseases (RIDs) in China. The objective of this study was to describe, visualize, and compare the spatial-temporal distributions of these five RIDs from 2006 to 2016. In addition to descriptive epidemiology analysis, seasonality and spatial autocorrelation analysis were also applied to explore the epidemiologic trends and spatial changing patterns of the five RIDs, respectively. The results indicated that the incidence of tuberculosis, measles, and mumps presented a downtrend trend, while those of scarlet fever and influenza was in a strong uptrend across the research period. The incidences of the five diseases all peaked in spring. There were significant spatial disparities in the distribution of tuberculosis, scarlet fever, and measles cases, with the hotspots mainly located in the western plateau region, northern plain region, and southern mountainous region. To conclude, notable epidemiological differences were observed across regions, indicating that some provincial units should pay more attention to prevent and control respiratory infectious diseases.
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Affiliation(s)
- Ying Mao
- School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China; (R.H.); (B.Z.); (J.L.); (N.Z.)
- Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
| | - Rongxin He
- School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China; (R.H.); (B.Z.); (J.L.); (N.Z.)
- Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
| | - Bin Zhu
- School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China; (R.H.); (B.Z.); (J.L.); (N.Z.)
- Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
- Department of Public Policy, City University of Hong Kong, Hong Kong 999077, China
| | - Jinlin Liu
- School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China; (R.H.); (B.Z.); (J.L.); (N.Z.)
- Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
- Walter H. Shorenstein Asia-Pacific Research Center, Stanford University, Stanford, CA 94305, USA
| | - Ning Zhang
- School of Public Policy and Administration, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China; (R.H.); (B.Z.); (J.L.); (N.Z.)
- Research Center for the Belt and Road Health Policy and Health Technology Assessment, Xi’an Jiaotong University, 28 Xianning West Road, Xi’an 710049, China
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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: 4.4] [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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5
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Wei F, Jiang Z, Sun H, Pu J, Sun Y, Wang M, Tong Q, Bi Y, Ma X, Gao GF, Liu J. Induction of PGRN by influenza virus inhibits the antiviral immune responses through downregulation of type I interferons signaling. PLoS Pathog 2019; 15:e1008062. [PMID: 31585000 PMCID: PMC6795447 DOI: 10.1371/journal.ppat.1008062] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2018] [Revised: 10/16/2019] [Accepted: 09/02/2019] [Indexed: 11/18/2022] Open
Abstract
Type I interferons (IFNs) play a critical role in host defense against influenza virus infection, and the mechanism of influenza virus to evade type I IFNs responses remains to be fully understood. Here, we found that progranulin (PGRN) was significantly increased both in vitro and in vivo during influenza virus infection. Using a PGRN knockdown assay and PGRN-deficient mice model, we demonstrated that influenza virus-inducing PGRN negatively regulated type I IFNs production by inhibiting the activation of NF-κB and IRF3 signaling. Furthermore, we showed that PGRN directly interacted with NF-κB essential modulator (NEMO) via its Grn CDE domains. We also verified that PGRN recruited A20 to deubiquitinate K63-linked polyubiquitin chains on NEMO at K264. In addition, we found that macrophage played a major source of PGRN during influenza virus infection, and PGRN neutralizing antibodies could protect against influenza virus-induced lethality in mice. Our data identify a PGRN-mediated IFN evasion pathway exploited by influenza virus with implication in antiviral applications. These findings also provide insights into the functions and crosstalk of PGRN in innate immunity. The innate immune system is the first line of host defense against microbial infection, while viruses develop several strategies to evade the host defense. It is of great significance to explore the mechanism by which viruses to evade the antiviral host defense. Previous studies have found that progranulin (PGRN) plays an important role in a variety of physiologic and disease processes. Here, we demonstrated that PGRN induced by influenza virus negatively regulated type I IFN production by inhibiting the activation of NF-κB and IRF3 signaling. We further showed that PGRN directly interacted with NEMO via its Grn CDE domains and recruited A20 to deubiquitinate K63-linked polyubiquitin chains on NEMO. Macrophage played a major source of PGRN during influenza virus infection, and PGRN neutralizing antibodies could protect against influenza virus-induced lethality in mice. Our findings highlight a new strategy whereby influenza virus to evade type I IFN-mediated antiviral immune response and also provide insights into the functions and crosstalk of PGRN in innate immunity.
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Affiliation(s)
- Fanhua Wei
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
- College of Agriculture, Ningxia University, Yinchuan, China
- * E-mail: (FW); (JL)
| | - Zhimin Jiang
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Honglei Sun
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Juan Pu
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Yipeng Sun
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Mingyang Wang
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Qi Tong
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
| | - Yuhai Bi
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Xiaojing Ma
- State Key Laboratory of Microbial Metabolism, Sheng Yushou Center of Cell Biology and Immunology, School of Life Science and Biotechnology, Shanghai Jiao Tong University, Shanghai, China
- Department of Microbiology and Immunology, Weill Cornell Medical College, New York, New York, United States of America
| | - George Fu Gao
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China
| | - Jinhua Liu
- Key Laboratory of Animal Epidemiology and Zoonosis, Ministry of Agriculture, College of Veterinary Medicine and State Key Laboratory of Agrobiotechnology, China Agricultural University, Beijing, China
- * E-mail: (FW); (JL)
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6
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Wang J, Sun D, Abudusaimaiti X, Vermund SH, Li D, Hu Y. Low awareness of influenza vaccination among pregnant women and their obstetricians: a population-based survey in Beijing, China. Hum Vaccin Immunother 2019; 15:2637-2643. [PMID: 30932729 PMCID: PMC6930072 DOI: 10.1080/21645515.2019.1596713] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2018] [Revised: 02/27/2019] [Accepted: 03/09/2019] [Indexed: 12/29/2022] Open
Abstract
We assessed how an awareness of influenza vaccination might influence both the willingness of pregnant women to be vaccinated and the readiness of obstetricians to recommend antenatal influenza vaccination in Beijing, China. From March to April 2016, we surveyed pregnant women who were attending antenatal clinics at eight hospitals in Beijing, along with obstetricians at the same clinics. Demographic, attitudinal, and behavioral information regarding influenza vaccination were collected using structured questionnaires. Consent and completed questionnaires were obtained from 988 of 1009 pregnant women and 165 of 173 obstetricians. Only 113 (11.4%) pregnant women reported being willing to receive an influenza vaccine during their pregnancies. Willingness to receive an influenza vaccination was positively associated with ever having a history of vaccination or influenza (aOR=6.74, 95%CI: 1.72-26.4, P=0.006), perceiving benefits of vaccination (aOR=1.67, 95%CI: 1.00-2.79, P=0.050), and having a higher level of influenza knowledge (aOR=82.2, 95%CI: 21.7-311.1, P<0.001). Among obstetricians, only 19.4% reported being willing to recommend influenza vaccination to their pregnant patients and 15.2% reported knowledge that influenza vaccination during pregnancy was recommended by China's National Health Commission. Neither pregnant women nor their obstetricians were aware of Chinese government recommendations that antenatal influenza vaccination should be encouraged and provided. Pregnant women and their obstetricians were ill-informed of the relevant evidence. It is in emergent need to train and disseminate the updated evidence on influenza vaccination to obstetricians. It also warranted more high-quality trials regarding influenza vaccination during pregnancy to address public concern.
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Affiliation(s)
- Jing Wang
- Department of infectious diseases and endemic diseases prevention, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Dianqin Sun
- Department of Child, Adolescent Health and Maternal Health, School of Public Health, Capital Medical University, Beijing, China
| | - Xiayidanmu Abudusaimaiti
- Department of Child, Adolescent Health and Maternal Health, School of Public Health, Capital Medical University, Beijing, China
| | - Sten H. Vermund
- Yale School of Public Health, Yale University, New Haven, CT, USA
| | - Dongliang Li
- Programme management office, Chaoyang District Center for Disease Prevention and Control, Beijing, China
| | - Yifei Hu
- Department of Child, Adolescent Health and Maternal Health, School of Public Health, Capital Medical University, Beijing, China
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Sanada T, Yasui F, Honda T, Kayesh MEH, Takano JI, Shiogama Y, Yasutomi Y, Tsukiyama-Kohara K, Kohara M. Avian H5N1 influenza virus infection causes severe pneumonia in the Northern tree shrew (Tupaia belangeri). Virology 2019; 529:101-110. [PMID: 30684692 DOI: 10.1016/j.virol.2019.01.015] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2018] [Revised: 01/14/2019] [Accepted: 01/14/2019] [Indexed: 01/07/2023]
Abstract
Avian-origin influenza viruses like H5N1 and H7N9 often cause severe symptoms with high mortality in humans. Animal models are useful for clarification of the mechanisms of pathogenicity of these infections. In this study, to expand the potential utility of the Northern tree shrew (Tupaia belangeri) for influenza virus infection, we assessed the pathogenicity of H5N1 and H7N9 avian influenza viruses in tupaia. Infectious virus was detected continuously from nasal, oral, tracheal, and conjunctival swab samples in the animals infected with these viruses. H5N1 influenza virus infection of tupaia caused severe diffuse pneumonia with fever and weight loss. In contrast, H7N9 influenza virus infection caused focal pneumonia. The severity of pneumonia was correlated with proinflammatory cytokine transcript levels. These results indicated that tupaia can be another suitable animal model for avian influenza virus research.
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Affiliation(s)
- Takahiro Sanada
- Department of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science, 2-1-6, Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan
| | - Fumihiko Yasui
- Department of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science, 2-1-6, Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan.
| | - Tomoko Honda
- Department of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science, 2-1-6, Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan
| | - Mohammad Enamul Hoque Kayesh
- Transboundary Animal Diseases Centre, Joint Faculty of Veterinary Medicine, Kagoshima University, 1-21-24, Korimoto, Kagoshima-city, Kagoshima 890-0065, Japan
| | - Jun-Ichiro Takano
- Laboratory of Immunoregulation and Vaccine Research, Tsukuba Primate Research Center, National Institute of Biomedical Innovation, Health and Nutrition, 1-1 Hachimandai, Tsukuba, Ibaraki 305-0843, Japan
| | - Yumiko Shiogama
- Laboratory of Immunoregulation and Vaccine Research, Tsukuba Primate Research Center, National Institute of Biomedical Innovation, Health and Nutrition, 1-1 Hachimandai, Tsukuba, Ibaraki 305-0843, Japan
| | - Yasuhiro Yasutomi
- Laboratory of Immunoregulation and Vaccine Research, Tsukuba Primate Research Center, National Institute of Biomedical Innovation, Health and Nutrition, 1-1 Hachimandai, Tsukuba, Ibaraki 305-0843, Japan
| | - Kyoko Tsukiyama-Kohara
- Transboundary Animal Diseases Centre, Joint Faculty of Veterinary Medicine, Kagoshima University, 1-21-24, Korimoto, Kagoshima-city, Kagoshima 890-0065, Japan
| | - Michinori Kohara
- Department of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science, 2-1-6, Kamikitazawa, Setagaya-ku, Tokyo 156-8506, Japan.
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8
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Hyoung KJ, Hajam IA, Lee JH. A consensus-hemagglutinin-based vaccine delivered by an attenuated Salmonella mutant protects chickens against heterologous H7N1 influenza virus. Oncotarget 2018; 8:38780-38792. [PMID: 28418904 PMCID: PMC5503571 DOI: 10.18632/oncotarget.16353] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Accepted: 02/15/2017] [Indexed: 12/14/2022] Open
Abstract
H7N3 and H7N7 are highly pathogenic avian influenza (HPAI) viruses and have posed a great threat not only for the poultry industry but for the human health as well. H7N9, a low pathogenic avian influenza (LPAI) virus, is also highly pathogenic to humans, and there is a great concern that these H7 subtypes would acquire the ability to spread efficiently between humans, thereby becoming a pandemic threat. A vaccine candidate covering all the three subtypes must, therefore, be an integral part of any pandemic preparedness plan. To address this need, we constructed a consensus hemagglutinin (HA) sequence of H7N3, H7N7, and H7N9 based on the data available in the NCBI in early 2012-2015. This artificial sequence was then optimized for protein expression before being transformed into an attenuated auxotrophic mutant of Salmonella Typhimurium, JOL1863 strain. Immunizing chickens with JOL1863, delivered intramuscularly, nasally or orally, elicited efficient humoral and cell mediated immune responses, independently of the route of vaccination. Our results also showed that JOL1863 deliver efficient maturation signals to chicken monocyte derived dendritic cells (MoDCs) which were characterized by upregulation of costimulatory molecules and higher cytokine induction. Moreover, immunization with JOL1863 in chickens conferred a significant protection against the heterologous LPAI H7N1 virus challenge as indicated by reduced viral sheddings in the cloacal swabs. We conclude that this vaccine, based on a consensus HA, could induce broader spectrum of protection against divergent H7 influenza viruses and thus warrants further study.
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Affiliation(s)
- Kim Je Hyoung
- College of Veterinary Medicine, Chonbuk National University, Iksan Campus, Iksan 54596, Republic of Korea
| | - Irshad Ahmed Hajam
- College of Veterinary Medicine, Chonbuk National University, Iksan Campus, Iksan 54596, Republic of Korea
| | - John Hwa Lee
- College of Veterinary Medicine, Chonbuk National University, Iksan Campus, Iksan 54596, Republic of Korea
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9
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Chen E, Wang MH, He F, Sun R, Cheng W, Zee BCY, Lau SYF, Wang X, Chong KC. An increasing trend of rural infections of human influenza A (H7N9) from 2013 to 2017: A retrospective analysis of patient exposure histories in Zhejiang province, China. PLoS One 2018; 13:e0193052. [PMID: 29447278 PMCID: PMC5814046 DOI: 10.1371/journal.pone.0193052] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2017] [Accepted: 02/02/2018] [Indexed: 11/18/2022] Open
Abstract
BACKGROUND Although investigations have shown that closing live poultry markets (LPMs) is highly effective in controlling human influenza A (H7N9) infections, many of the urban LPMs were shut down, but rural LPMs remained open. This study aimed to compare the proportional changes between urban and rural infections in the Zhejiang province from 2013 to 2017 by analyzing the exposure histories of human cases. METHODS All laboratory-confirmed cases of H7N9 from 2013 (the first wave) to 2017 (the fifth wave) in the Zhejiang province of China were analyzed. Urban and rural infections were defined based on the locations of poultry exposure (direct and indirect) in urban areas (central towns) and rural areas (towns and villages on the outskirts of cities). A Chi-square trend test was used to compare the proportional trend between urban and rural infections over time and logistic regression was used to obtain the odds ratio by years. RESULTS From 2013 to 2017, a statistically significant trend in rural infections was observed (p <0.01). The incremental odds ratio by years of rural infections was 1.59 with 95% confidence intervals of 1.34 to 1.86. Each year, significant increases in the proportion of live poultry transactions in LPMS and poultry processing plants were detected in conjunction with an increased proportion of urban and rural infections. CONCLUSION The empirical evidence indicated a need for heightened infection control measures in rural areas, such as serving rural farms and backyards as active surveillance points for the H7N9 virus. Other potential interventions such as the vaccination of poultry and extending the closure of LPMs to the provincial level require further careful investigations.
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Affiliation(s)
- Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, Zhejiang, China
| | - Maggie H. Wang
- School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Fan He
- Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, Zhejiang, China
| | - Riyang Sun
- School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Wei Cheng
- Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, Zhejiang, China
| | - Benny C. Y. Zee
- School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
| | - Steven Y. F. Lau
- School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiaoxiao Wang
- Zhejiang Provincial Center for Disease Control and Prevention, Binjiang District, Hangzhou, Zhejiang, China
- * E-mail: (KCC); (XW)
| | - Ka Chun Chong
- School of Public Health and Primary Care, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China
- Clinical Trials and Biostatistics Laboratory, Shenzhen Research Institute, The Chinese University of Hong Kong, Shenzhen, China
- * E-mail: (KCC); (XW)
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10
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Dong Z, Xia Y, Ya X, Chen L, Liu C, Wang R, Shen Q. Epidemiological and genetic characteristics of the fifth avian influenza A(H7N9) wave in Suzhou, China, from October 2016 to April 2017. Virus Genes 2018; 54:182-189. [PMID: 29404897 DOI: 10.1007/s11262-018-1534-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2017] [Accepted: 01/08/2018] [Indexed: 11/28/2022]
Abstract
Human infections with H7N9 viruses can cause severe pneumonia and even death. To characterize the epidemiology and genetics of the H7N9 viruses circulating during from October 2016 to April 2017 in Suzhou, China, all pharyngeal swab samples were collected from severe acute respiratory infections (SARI) cases during this fifth wave of infection, and we amplified the H7N9 H7 and N9 genes using a real-time polymerase chain reaction (PCR). Positive samples were subjected to virus isolation and gene sequencing to analyze the evolution and variation of the H7N9 strains. The epidemiological features of H7N9 patients have not changed and there were no significant mutations in the key sites of the hemagglutinin (HA) gene sequence, but we identified the K526R and E627 K substitutions in the PB2 protein. In the neuraminidase (NA) protein, drug-resistant mutations (R294 K and H276Y) occurred in a few strains. Most of the H7N9 viruses isolated from Suzhou had no drug resistance mutations, but it is necessary to closely monitor and analyze the probable emergence of mutations and the spread of resistant strains. The reduction of the N-glycosylation site at position 42 of NA was observed in some strains.
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Affiliation(s)
- Zefeng Dong
- Suzhou Center for Disease Prevention and Control, Suzhou, 215004, China
| | - Yu Xia
- Suzhou Center for Disease Prevention and Control, Suzhou, 215004, China
| | - Xuerong Ya
- Suzhou Center for Disease Prevention and Control, Suzhou, 215004, China
| | - Liling Chen
- Suzhou Center for Disease Prevention and Control, Suzhou, 215004, China
| | - Cheng Liu
- Suzhou Center for Disease Prevention and Control, Suzhou, 215004, China
| | - Ruyan Wang
- Suzhou Municipal Hospital, Suzhou, 215004, China
| | - Qiang Shen
- Suzhou Center for Disease Prevention and Control, Suzhou, 215004, China.
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11
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Kim JH, Hajam IA, Lee JH. Oral immunization with a novel attenuated Salmonella Typhimurium encoding influenza HA, M2e and NA antigens protects chickens against H7N9 infection. Vet Res 2018; 49:12. [PMID: 29391053 PMCID: PMC5796500 DOI: 10.1186/s13567-018-0509-y] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2017] [Accepted: 01/18/2018] [Indexed: 12/22/2022] Open
Abstract
Attenuated Salmonella strains constitute a promising technology for the development of efficient protein-based influenza vaccines. H7N9, a low pathogenic avian influenza (LPAI) virus, is a major public health concern and currently there are no effective vaccines against this subtype. Herein, we constructed a novel attenuated Salmonella Typhimurium strain for the delivery and expression of H7N9 hemagglutinin (HA), neuraminidase (NA) or the conserved extracellular domain of the matrix protein 2 (M2e). We demonstrated that the constructed Salmonella strains exhibited efficient HA, NA and M2e expressions, respectively, and the constructs were safe and immunogenic in chickens. Our results showed that chickens immunized once orally with Salmonella (Sal) mutants encoding HA (Sal-HA), M2e (Sal-M2e) or NA (Sal-NA), administered either alone or in combination, induced both antigen-specific humoral and cell mediated immune (CMI) responses, and protected chickens against the lethal H7N9 challenge. However, chickens immunized with Sal-HA+Sal-M2e+Sal-NA vaccine constructs exhibited efficient mucosal and CMI responses compared to the chickens that received only Sal-HA, Sal-M2e or Sal-M2e+Sal-NA vaccine. Further, chickens immunized with Sal-HA+Sal-M2e+Sal-NA constructs cleared H7N9 infection at a faster rate compared to the chickens that were vaccinated with Sal-HA, Sal-M2e or Sal-M2e+Sal-NA, as indicated by the reduced viral shedding in cloacal swabs of the immunized chickens. We conclude that this vaccination strategy, based on HA, M2e and NA, stimulated efficient induction of immune protection against the lethal H7N9 LPAI virus and, therefore, further studies are warranted to develop this approach as a potential prophylaxis against LPAI viruses affecting poultry birds.
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Affiliation(s)
- Je Hyoung Kim
- College of Veterinary Medicine, Chonbuk National University, Iksan, 54596, Republic of Korea
| | - Irshad Ahmed Hajam
- College of Veterinary Medicine, Chonbuk National University, Iksan, 54596, Republic of Korea
| | - John Hwa Lee
- College of Veterinary Medicine, Chonbuk National University, Iksan, 54596, Republic of Korea.
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12
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Samanta I, Joardar SN, Das PK. Biosecurity Strategies for Backyard Poultry: A Controlled Way for Safe Food Production. FOOD CONTROL AND BIOSECURITY 2018. [PMCID: PMC7149579 DOI: 10.1016/b978-0-12-811445-2.00014-3] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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13
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Epidemiological and clinical characteristics of humans with avian influenza A (H7N9) infection in Guangdong, China, 2013–2017. Int J Infect Dis 2017; 65:148-155. [DOI: 10.1016/j.ijid.2017.07.021] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Revised: 07/24/2017] [Accepted: 07/25/2017] [Indexed: 11/23/2022] Open
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14
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Lo C, Mertz D, Loeb M. Assessing the reporting quality of influenza outbreaks in the community. Influenza Other Respir Viruses 2017; 11:556-563. [PMID: 29054122 PMCID: PMC5705690 DOI: 10.1111/irv.12516] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/14/2017] [Indexed: 12/31/2022] Open
Abstract
BACKGROUND High-quality reporting of outbreak characteristics is fundamental to understand the behaviour of various strains of influenza virus and the impact of outbreak management strategies. However, few studies have systematically evaluated the quality of outbreak reporting. OBJECTIVES To conduct a systematic analysis and assessment for reporting quality of influenza outbreaks based on a modified version of the STROBE statement, and to examine characteristics associated with reporting quality. METHODS A literature search was conducted across 3 online databases (PubMed, Web of Science, MEDLINE) for reports of influenza outbreaks (pandemic H1N1, avian, seasonal). The quality of reports meeting our eligibility criteria was assessed using the Modified STROBE criteria and assigned a score of 30. Mean differences (MD) and 95% confidence intervals (CI) were reported for comparisons of study characteristics. RESULTS Sixty-four outbreak reports were available for analyses. The average Modified STROBE score was 20/30. Peer-reviewed articles were associated with a better quality of reporting (MD 2.79, 95% CI 0.79-4.78). Likewise, reports from authors affiliated with public health agencies were associated with better quality than those from academic institutions (MD 1.65, 95% CI-0.27-3.56). CONCLUSIONS The development of explicit reporting guidelines specifically geared towards reporting of outbreak investigations proved to be useful. Providing information on patient characteristics, investigation details in introduction and results, as well as addressing limitations that could have biased the findings, were frequently missing in the published reports.
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Affiliation(s)
- Calvin Lo
- Department of Pathology and Molecular MedicineMcMaster UniversityHamiltonONCanada
| | - Dominik Mertz
- Department of Pathology and Molecular MedicineMcMaster UniversityHamiltonONCanada
- Department of MedicineMcMaster UniversityHamiltonONCanada
- Department of Health Research Methods, Evidence and ImpactMcMaster UniversityHamiltonONCanada
- Michael G. DeGroote Institute for Infectious Diseases ResearchMcMaster UniversityHamiltonONCanada
| | - Mark Loeb
- Department of Pathology and Molecular MedicineMcMaster UniversityHamiltonONCanada
- Department of Health Research Methods, Evidence and ImpactMcMaster UniversityHamiltonONCanada
- Michael G. DeGroote Institute for Infectious Diseases ResearchMcMaster UniversityHamiltonONCanada
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15
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Dong W, Yang K, Xu Q, Liu L, Chen J. Spatio-temporal pattern analysis for evaluation of the spread of human infections with avian influenza A(H7N9) virus in China, 2013-2014. BMC Infect Dis 2017; 17:704. [PMID: 29065855 PMCID: PMC5655814 DOI: 10.1186/s12879-017-2781-2] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Accepted: 10/03/2017] [Indexed: 01/04/2023] Open
Abstract
BACKGROUND A large number (n = 460) of A(H7N9) human infections have been reported in China from March 2013 through December 2014, and H7N9 outbreaks in humans became an emerging issue for China health, which have caused numerous disease outbreaks in domestic poultry and wild bird populations, and threatened human health severely. The aims of this study were to investigate the directional trend of the epidemic and to identify the significant presence of spatial-temporal clustering of influenza A(H7N9) human cases between March 2013 and December 2014. METHODS Three distinct epidemic phases of A(H7N9) human infections were identified in this study. In each phase, standard deviational ellipse analysis was conducted to examine the directional trend of disease spreading, and retrospective space-time permutation scan statistic was then used to identify the spatio-temporal cluster patterns of H7N9 outbreaks in humans. RESULTS The ever-changing location and the increasing size of the three identified standard deviational ellipses showed that the epidemic moved from east to southeast coast, and hence to some central regions, with a future epidemiological trend of continue dispersing to more central regions of China, and a few new human cases might also appear in parts of the western China. Furthermore, A(H7N9) human infections were clustering in space and time in the first two phases with five significant spatio-temporal clusters (p < 0.05), but there was no significant cluster identified in phase III. CONCLUSIONS There was a new epidemiologic pattern that the decrease in significant spatio-temporal cluster of A(H7N9) human infections was accompanied with an obvious spatial expansion of the outbreaks during the study period, and identification of the spatio-temporal patterns of the epidemic can provide valuable insights for better understanding the spreading dynamics of the disease in China.
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Affiliation(s)
- Wen Dong
- School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan China
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming, Yunnan China
| | - Kun Yang
- School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan China
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming, Yunnan China
| | - Quanli Xu
- School of Tourism and Geographic Science, Yunnan Normal University, Kunming, Yunnan China
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming, Yunnan China
| | - Lin Liu
- School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan China
| | - Juan Chen
- School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan China
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16
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Liu B, Havers FP, Zhou L, Zhong H, Wang X, Mao S, Li H, Ren R, Xiang N, Shu Y, Zhou S, Liu F, Chen E, Zhang Y, Widdowson MA, Li Q, Feng Z. Clusters of Human Infections With Avian Influenza A(H7N9) Virus in China, March 2013 to June 2015. J Infect Dis 2017; 216:S548-S554. [PMID: 28934462 DOI: 10.1093/infdis/jix098] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
Multiple clusters of human infections with novel avian influenza A(H7N9) virus have occurred since the virus was first identified in spring 2013. However, in many situations it is unclear whether these clusters result from person-to-person transmission or exposure to a common infectious source. We analyzed the possibility of person-to-person transmission in each cluster and developed a framework to assess the likelihood that person-to-person transmission had occurred. We described 21 clusters with 22 infected contact cases that were identified by the Chinese Center for Disease Control and Prevention from March 2013 through June 2015. Based on detailed epidemiological information and the timing of the contact case patients' exposures to infected persons and to poultry during their potential incubation period, we graded the likelihood of person-to-person transmission as probable, possible, or unlikely. We found that person-to-person transmission probably occurred 12 times and possibly occurred 4 times; it was unlikely in 6 clusters. Probable nosocomial transmission is likely to have occurred in 2 clusters. Limited person-to-person transmission is likely to have occurred on multiple occasions since the H7N9 virus was first identified. However, these transmission events represented a small fraction of all identified cases of H7N9 human infection, and sustained person-to-person transmission was not documented.
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Affiliation(s)
- Bo Liu
- Public Health Emergency Center
| | - Fiona P Havers
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | | | - Haojie Zhong
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou
| | - Xianjun Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan
| | - Shenghua Mao
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai
| | - Hai Li
- Guangxi Provincial Center for Disease Control and Prevention, Nanning
| | | | | | - Yuelong Shu
- Institute for Viral Disease Control and Prevention
| | - Suizan Zhou
- China Office, US Centers for Disease Control and Prevention, Beijing
| | - Fuqiang Liu
- Hunan Provincial Center for Disease Control and Prevention, Changsha City
| | - Enfu Chen
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
| | | | - Marc-Alain Widdowson
- Influenza Division, Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Qun Li
- Public Health Emergency Center
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention
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17
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Agunos A, Pierson FW, Lungu B, Dunn PA, Tablante N. Review of Nonfoodborne Zoonotic and Potentially Zoonotic Poultry Diseases. Avian Dis 2017; 60:553-75. [PMID: 27610715 DOI: 10.1637/11413-032416-review.1] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/05/2022]
Abstract
Emerging and re-emerging diseases are continuously diagnosed in poultry species. A few of these diseases are known to cross the species barrier, thus posing a public health risk and an economic burden. We identified and synthesized global evidence for poultry nonfoodborne zoonoses to better understand these diseases in people who were exposed to different poultry-related characteristics (e.g., occupational or nonoccupational, operational types, poultry species, outbreak conditions, health status of flocks). This review builds on current knowledge on poultry zoonoses/potentially zoonotic agents transmitted via the nonfoodborne route. It also identifies research gaps and potential intervention points within the poultry industry to reduce zoonotic transmission by using various knowledge synthesis tools such as systematic review (SR) and qualitative (descriptive) and quantitative synthesis methods (i.e., meta-analysis). Overall, 1663 abstracts were screened and 156 relevant articles were selected for further review. Full articles (in English) were retrieved and critically appraised using routine SR methods. In total, eight known zoonotic diseases were reviewed: avian influenza (AI) virus (n = 85 articles), Newcastle disease virus (n = 8), West Nile virus (WNV, n = 2), avian Chlamydia (n = 24), Erysipelothrix rhusiopathiae (n = 3), methicillin-resistant Staphylococcus aureus (MRSA, n = 15), Ornithonyssus sylvarium (n = 4), and Microsporum gallinae (n = 3). In addition, articles on other viral poultry pathogens (n = 5) and poultry respiratory allergens derived from mites and fungi (n = 7) were reviewed. The level of investigations (e.g., exposure history, risk factor, clinical disease in epidemiologically linked poultry, molecular studies) to establish zoonotic linkages varied across disease agents and across studies. Based on the multiple outcome measures captured in this review, AI virus seems to be the poultry zoonotic pathogen that may have considerable and significant public health consequences; however, epidemiologic reports have only documented severe human cases clustered in Asia and not in North America. In contrast, avian Chlamydia and MRSA reports clustered mainly in Europe and less so in North America and other regions. Knowledge gaps in other zoonoses or other agents were identified, including potential direct (i.e., nonmosquito-borne) transmission of WNV from flocks to poultry workers, the public health and clinical significance of poultry-derived (livestock-associated) MRSA, the zoonotic significance of other viruses, and the role of poultry allergens in the pathophysiology of respiratory diseases of poultry workers. Across all pathogens reviewed, the use of personal protective equipment was commonly cited as the most important preventive measure to reduce the zoonotic spread of these diseases and the use of biosecurity measures to reduce horizontal transmission in flock populations. The studies also emphasized the need for flock monitoring and an integrated approach to prevention (i.e., veterinary-public health coordination with regard to diagnosis, and knowledge translation and education in the general population) to reduce zoonotic transmission.
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Affiliation(s)
- Agnes Agunos
- A Public Health Agency of Canada, Guelph, Ontario, Canada N1G5B2
| | - F William Pierson
- B Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061
| | - Bwalya Lungu
- C Department of Food Science and Technology, University of California, Davis, CA 95616
| | - Patricia A Dunn
- D Animal Diagnostic Laboratory (PADLS-PSU), Pennsylvania State University, University Park, PA 16802
| | - Nathaniel Tablante
- E Virginia-Maryland College of Veterinary Medicine, University of Maryland, College Park, MD 20740
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18
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Harris KA, Freidl GS, Munoz OS, von Dobschuetz S, De Nardi M, Wieland B, Koopmans MPG, Stärk KDC, van Reeth K, Dauphin G, Meijer A, de Bruin E, Capua I, Hill AA, Kosmider R, Banks J, Stevens K, van der Werf S, Enouf V, van der Meulen K, Brown IH, Alexander DJ, Breed AC. Epidemiological Risk Factors for Animal Influenza A Viruses Overcoming Species Barriers. ECOHEALTH 2017; 14:342-360. [PMID: 28523412 DOI: 10.1007/s10393-017-1244-y] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2014] [Revised: 03/30/2017] [Accepted: 04/10/2017] [Indexed: 05/21/2023]
Abstract
Drivers and risk factors for Influenza A virus transmission across species barriers are poorly understood, despite the ever present threat to human and animal health potentially on a pandemic scale. Here we review the published evidence for epidemiological risk factors associated with influenza viruses transmitting between animal species and from animals to humans. A total of 39 papers were found with evidence of epidemiological risk factors for influenza virus transmission from animals to humans; 18 of which had some statistical measure associated with the transmission of a virus. Circumstantial or observational evidence of risk factors for transmission between animal species was found in 21 papers, including proximity to infected animals, ingestion of infected material and potential association with a species known to carry influenza virus. Only three publications were found which presented a statistical measure of an epidemiological risk factor for the transmission of influenza between animal species. This review has identified a significant gap in knowledge regarding epidemiological risk factors for the transmission of influenza viruses between animal species.
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Affiliation(s)
- Kate A Harris
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Gudrun S Freidl
- Centre for Infectious Disease Research, Diagnostics and Screening (IDS), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | - Olga S Munoz
- OIE/FAO and National Reference Laboratory for Newcastle Disease and Avian Influenza, OIE Collaborating Centre for Diseases at the Human-Animal Interface, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Padua, Italy
- One Health Center of Excellence, Emerging Pathogens Institute and Institute of Food and Agricultural Sciences-Department of Animal Sciences, University of Florida, 32611, Gainesville, FL, USA
| | - Sophie von Dobschuetz
- Royal Veterinary College (RVC), London, UK
- Food and Agricultural Organization of the United Nations (FAO), Rome, Italy
| | - Marco De Nardi
- OIE/FAO and National Reference Laboratory for Newcastle Disease and Avian Influenza, OIE Collaborating Centre for Diseases at the Human-Animal Interface, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Padua, Italy
- SAFOSO AG, Liebefeld, Switzerland
| | - Barbara Wieland
- International Livestock Research Institute ILRI, Box 5689, Addis Ababa, Ethiopia
| | - Marion P G Koopmans
- Centre for Infectious Disease Research, Diagnostics and Screening (IDS), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Viroscience, Erasmus Medical Center, Rotterdam, The Netherlands
| | | | - Kristien van Reeth
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium
| | - Gwen Dauphin
- Food and Agricultural Organization of the United Nations (FAO), Rome, Italy
| | - Adam Meijer
- Centre for Infectious Disease Research, Diagnostics and Screening (IDS), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Erwin de Bruin
- Centre for Infectious Disease Research, Diagnostics and Screening (IDS), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
| | - Ilaria Capua
- OIE/FAO and National Reference Laboratory for Newcastle Disease and Avian Influenza, OIE Collaborating Centre for Diseases at the Human-Animal Interface, Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020, Legnaro, Padua, Italy
- One Health Center of Excellence, Emerging Pathogens Institute and Institute of Food and Agricultural Sciences-Department of Animal Sciences, University of Florida, 32611, Gainesville, FL, USA
| | - Andy A Hill
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
- Royal Veterinary College (RVC), London, UK
- BAE Systems, Farnborough, UK
| | - Rowena Kosmider
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Jill Banks
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | | | | | | | - Karen van der Meulen
- Laboratory of Virology, Faculty of Veterinary Medicine, Ghent University, Ghent, Belgium
| | - Ian H Brown
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Dennis J Alexander
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK
| | - Andrew C Breed
- Animal and Plant Health Agency-Weybridge (APHA), Woodham Lane, New Haw, Addlestone, Surrey, KT15 3NB, UK.
- Epidemiology and One Health Section, Department of Water Resources, Canberra, Australia.
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19
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Risk factors for avian influenza virus contamination of live poultry markets in Zhejiang, China during the 2015-2016 human influenza season. Sci Rep 2017; 7:42722. [PMID: 28256584 PMCID: PMC5335333 DOI: 10.1038/srep42722] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2016] [Accepted: 01/12/2017] [Indexed: 11/13/2022] Open
Abstract
Live bird markets (LBMs), being a potential source of avian influenza virus, require effective environmental surveillance management. In our study, a total of 2865 environmental samples were collected from 292 LBMs during the 2015–2016 human influenza season from 10 cities in Zhejiang province, China. The samples were tested by real-time quantitative polymerase chain reaction (RT-PCR). Field investigations were carried out to investigate probable risk factors. Of the environmental samples, 1519 (53.0%) were contaminated by A subtype. The highest prevalence of the H9 subtype was 30.2%, and the frequencies of the H5 and H7 subtype were 9.3% and 17.3%, respectively. Hangzhou and Jinhua cities were contaminated more seriously than the others. The prevalence of H5/H7/H9 in drinking water samples was highest, at 50.9%, and chopping board swabs ranked second, at 49.3%. Duration of sales per day, types of live poultry, LBM location and the number of live poultry were the main risk factors for environmental contamination, according to logistic regression analysis. In conclusion, LBMs in Zhejiang were contaminated by avian influenza. Our study has provided clues for avian influenza prevention and control during the human influenza season, especially in areas where LBMs are not closed.
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20
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Ge E, Zhang R, Li D, Wei X, Wang X, Lai PC. Estimating Risks of Inapparent Avian Exposure for Human Infection: Avian Influenza Virus A (H7N9) in Zhejiang Province, China. Sci Rep 2017; 7:40016. [PMID: 28054599 PMCID: PMC5214706 DOI: 10.1038/srep40016] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2016] [Accepted: 11/09/2016] [Indexed: 11/09/2022] Open
Abstract
Inapparent avian exposure was suspected for the sporadic infection of avian influenza A(H7N9) occurring in China. This type of exposure is usually unnoticed and difficult to model and measure. Infected poultry with avian influenza H7N9 virus typically remains asymptomatic, which may facilitate infection through inapparent poultry/bird exposure, especially in a country with widespread practice of backyard poultry. The present study proposed a novel approach that integrated ecological and case-control methods to quantify the risk of inapparent avian exposure on human H7N9 infection. Significant associations of the infection with chicken and goose densities, but not with duck density, were identified after adjusting for spatial clustering effects of the H7N9 cases across multiple geographic scales of neighborhood, community, district and city levels. These exposure risks varied geographically in association with proximity to rivers and lakes that were also proxies for inapparent exposure to avian-related environment. Males, elderly people, and farmers were high-risk subgroups for the virus infection. These findings enable health officials to target educational programs and awareness training in specific locations to reduce the risks of inapparent exposure.
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Affiliation(s)
- Erjia Ge
- Division of Epidemiology, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Renjie Zhang
- Zhejiang Provincial Center for Disease Prevention &Control, Hangzhou, P.R. China
| | - Dengkui Li
- School of Mathematics &Statistics, Xi'an Jiaotong University, Xi'an, P.R. China
| | - Xiaolin Wei
- Division of Clinical Public Health and Institute of Health Policy, Management and Evaluation, Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | - Xiaomeng Wang
- Zhejiang Provincial Center for Disease Prevention &Control, Hangzhou, P.R. China
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21
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Mitsuda T. [Progress in Diagnostic Technology and Management of Infectious Diseases. Topics IV. Measures for Infection Control: 3. Prevent Health Care-Associated Infections (HAIs): Up-to-date information]. ACTA ACUST UNITED AC 2016; 103:2748-53. [PMID: 27522816 DOI: 10.2169/naika.103.2748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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22
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Hsieh CF, Chen YL, Lin CF, Ho JY, Huang CH, Chiu CH, Hsieh PW, Horng JT. An extract from Taxodium distichum targets hemagglutinin- and neuraminidase-related activities of influenza virus in vitro. Sci Rep 2016; 6:36015. [PMID: 27796330 PMCID: PMC5086851 DOI: 10.1038/srep36015] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2016] [Accepted: 10/07/2016] [Indexed: 12/11/2022] Open
Abstract
Influenza virus remains an emerging virus and causes pandemics with high levels of fatality. After screening different plant extracts with potential anti-influenza activity, a water extract of Taxodium distichum stems (TDSWex) showed excellent activity against influenza viruses. The EC50 of TDSWex was 0.051 ± 0.024 mg/mL against influenza virus A/WSN/33. TDSWex had excellent antiviral efficacy against various strains of human influenza A and B viruses, particularly oseltamivir-resistant clinical isolates and a swine-origin influenza strain. We observed that the synthesis of viral RNA and protein were inhibited in the presence of TDSWex. The results of the time-of-addition assay suggested that TDSWex inhibited viral entry and budding. In the hemagglutination inhibition assay, TDSWex inhibited the hemagglutination of red blood cells, implying that the extract targeted hemagglutin-related functions such as viral entry. In the attachment and penetration assay, TDSWex showed antiviral activity with EC50s of 0.045 ± 0.026 and 0.012 ± 0.003 mg/mL, respectively. In addition, TDSWex blocked neuraminidase activity. We conclude that TDSWex has bimodal activities against both hemagglutinin and neuraminidase during viral replication.
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Affiliation(s)
- Chung-Fan Hsieh
- Department of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Yu-Li Chen
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chwan-Fwu Lin
- Department of Cosmetic Science, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
| | - Jin-Yuan Ho
- Department of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan
| | - Chun-Hsun Huang
- Department of Cosmetic Science, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan
| | - Cheng-Hsun Chiu
- Molecular Infectious Disease Research Center, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan
| | - Pei-Wen Hsieh
- Graduate Institute of Biomedical Sciences, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Graduate Institute of Natural Products, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Department of Anesthesiology, Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Jim-Tong Horng
- Department of Biochemistry and Molecular Biology, College of Medicine, Chang Gung University, Taoyuan, Taiwan.,Research Center for Industry of Human Ecology, Chang Gung University of Science and Technology, Taoyuan, Taiwan.,Molecular Infectious Disease Research Center, Chang Gung Memorial Hospital, Chang Gung University College of Medicine, Taoyuan, Taiwan.,Research Center for Emerging Viral Infections, Chang Gung University, Taoyuan, Taiwan
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23
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BETHMONT A, BUI CM, GARDNER L, SARKAR S, CHUGHTAI AA, MACINTYRE CR. Quantified degree of poultry exposure differs for human cases of avian influenza H5N1 and H7N9. Epidemiol Infect 2016; 144:2633-40. [PMID: 27267621 PMCID: PMC9150466 DOI: 10.1017/s0950268816001035] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2015] [Revised: 04/01/2016] [Accepted: 04/29/2016] [Indexed: 11/06/2022] Open
Abstract
Preliminary evidence suggests that direct poultry contact may play a lesser role in transmission of avian influenza A(H7N9) than A(H5N1) to humans. To better understand differences in risk factors, we quantified the degree of poultry contact reported by H5N1 and H7N9 World Health Organization-confirmed cases. We used publicly available data to classify cases by their degree of poultry contact, including direct and indirect. To account for potential data limitations, we used two methods: (1) case population method in which all cases were classified using a range of sources; and (2) case subset method in which only cases with detailed contact information from published research literature were classified. In the case population, detailed exposure information was unavailable for a large proportion of cases (H5N1, 54%; H7N9, 86%). In the case subset, direct contact proportions were higher in H5N1 cases (70·3%) than H7N9 cases (40·0%) (χ 2 = 18·5, P < 0·001), and indirect contact proportions were higher in H7N9 cases (44·6%) than H5N1 cases (19·4%) (χ 2 = 15·5, P < 0·001). Together with emerging evidence, our descriptive analysis suggests direct poultry contact is a clearer risk factor for H5N1 than for H7N9, and that other risk factors should also be considered for H7N9.
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Affiliation(s)
- A. BETHMONT
- School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia
| | - C. M. BUI
- School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia
| | - L. GARDNER
- School of Civil and Environmental Engineering, University of New South Wales, Sydney, NSW, Australia
| | - S. SARKAR
- Section of Integrative Biology, University of Texas, Austin, TX, USA
| | - A. A. CHUGHTAI
- School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia
| | - C. R. MACINTYRE
- School of Public Health and Community Medicine, University of New South Wales, Sydney, NSW, Australia
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24
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Li K, Liu H, Yang Z, Li T, Di B, Chen Z, Lu J, Chen G, Zhao P, Yang L, Su W, Xiao X, Luo L, Li W, Lin C, Li G, Mei X, Tang X, Wang M, Zheng B. Clinical and epidemiological characteristics of a patient infected with H5N6 avian influenza A virus. J Clin Virol 2016; 82:20-26. [DOI: 10.1016/j.jcv.2016.06.004] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2016] [Revised: 06/09/2016] [Accepted: 06/10/2016] [Indexed: 12/09/2022]
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25
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Flannelly KJ, Flannelly LT, Jankowski KRB. Studying Associations in Health Care Research. J Health Care Chaplain 2016; 22:118-31. [PMID: 27328207 DOI: 10.1080/08854726.2016.1194046] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
This article discusses some of the types of relationships observed in healthcare research and depicts them in graphic form. The article begins by explaining two basic associations observed in chemistry and physics (Boyles' Law and Charles' Law), and illustrates how these associations are similar to curvilinear and linear associations, respectively, found in healthcare. Graphs of curvilinear associations include morbidity curves and survival and mortality curves. Several examples of linear relationships are given and methods of testing linear relationships with interval and ratio data are introduced (i.e., correlation and ordinary least-squares regression). In addition, 2 × 2 contingency tables for testing the association between categorical (or nominal) data are described. Finally, Sir Austin Bradford Hill's eight criteria for assessing causality from research on associations between variables are presented and explained. Three appendices provide interested readers with opportunities to practice interpreting selected curvilinear and linear relationships.
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Affiliation(s)
- Kevin J Flannelly
- a Center for Psychosocial Research , Massapequa , New York , New York , USA
| | - Laura T Flannelly
- a Center for Psychosocial Research , Massapequa , New York , New York , USA
| | - Katherine R B Jankowski
- a Center for Psychosocial Research , Massapequa , New York , New York , USA.,b Iona College , New Rochelle , New York , USA
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26
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Dong W, Yang K, Xu QL, Yang YL. A Predictive Risk Model for A(H7N9) Human Infections Based on Spatial-Temporal Autocorrelation and Risk Factors: China, 2013-2014. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2015; 12:15204-21. [PMID: 26633446 PMCID: PMC4690917 DOI: 10.3390/ijerph121214981] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/25/2015] [Revised: 10/11/2015] [Accepted: 11/10/2015] [Indexed: 12/29/2022]
Abstract
This study investigated the spatial distribution, spatial autocorrelation, temporal cluster, spatial-temporal autocorrelation and probable risk factors of H7N9 outbreaks in humans from March 2013 to December 2014 in China. The results showed that the epidemic spread with significant spatial-temporal autocorrelation. In order to describe the spatial-temporal autocorrelation of H7N9, an improved model was developed by introducing a spatial-temporal factor in this paper. Logistic regression analyses were utilized to investigate the risk factors associated with their distribution, and nine risk factors were significantly associated with the occurrence of A(H7N9) human infections: the spatial-temporal factor φ (OR = 2546669.382, p < 0.001), migration route (OR = 0.993, p < 0.01), river (OR = 0.861, p < 0.001), lake(OR = 0.992, p < 0.001), road (OR = 0.906, p < 0.001), railway (OR = 0.980, p < 0.001), temperature (OR = 1.170, p < 0.01), precipitation (OR = 0.615, p < 0.001) and relative humidity (OR = 1.337, p < 0.001). The improved model obtained a better prediction performance and a higher fitting accuracy than the traditional model: in the improved model 90.1% (91/101) of the cases during February 2014 occurred in the high risk areas (the predictive risk > 0.70) of the predictive risk map, whereas 44.6% (45/101) of which overlaid on the high risk areas (the predictive risk > 0.70) for the traditional model, and the fitting accuracy of the improved model was 91.6% which was superior to the traditional model (86.1%). The predictive risk map generated based on the improved model revealed that the east and southeast of China were the high risk areas of A(H7N9) human infections in February 2014. These results provided baseline data for the control and prevention of future human infections.
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Affiliation(s)
- Wen Dong
- School of Tourism and Geographic Science, Yunnan Normal University, Kunming 650500, China.
- School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China.
| | - Kun Yang
- School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China.
| | - Quan-Li Xu
- School of Tourism and Geographic Science, Yunnan Normal University, Kunming 650500, China.
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China.
| | - Yu-Lian Yang
- School of Information Science and Technology, Yunnan Normal University, Kunming 650500, China.
- GIS Technology Engineering Research Centre for West-China Resources and Environment of Educational Ministry, Yunnan Normal University, Kunming 650500, China.
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27
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Virlogeux V, Li M, Tsang TK, Feng L, Fang VJ, Jiang H, Wu P, Zheng J, Lau EHY, Cao Y, Qin Y, Liao Q, Yu H, Cowling BJ. Estimating the Distribution of the Incubation Periods of Human Avian Influenza A(H7N9) Virus Infections. Am J Epidemiol 2015; 182:723-9. [PMID: 26409239 DOI: 10.1093/aje/kwv115] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2014] [Accepted: 04/23/2015] [Indexed: 11/14/2022] Open
Abstract
A novel avian influenza virus, influenza A(H7N9), emerged in China in early 2013 and caused severe disease in humans, with infections occurring most frequently after recent exposure to live poultry. The distribution of A(H7N9) incubation periods is of interest to epidemiologists and public health officials, but estimation of the distribution is complicated by interval censoring of exposures. Imputation of the midpoint of intervals was used in some early studies, resulting in estimated mean incubation times of approximately 5 days. In this study, we estimated the incubation period distribution of human influenza A(H7N9) infections using exposure data available for 229 patients with laboratory-confirmed A(H7N9) infection from mainland China. A nonparametric model (Turnbull) and several parametric models accounting for the interval censoring in some exposures were fitted to the data. For the best-fitting parametric model (Weibull), the mean incubation period was 3.4 days (95% confidence interval: 3.0, 3.7) and the variance was 2.9 days; results were very similar for the nonparametric Turnbull estimate. Under the Weibull model, the 95th percentile of the incubation period distribution was 6.5 days (95% confidence interval: 5.9, 7.1). The midpoint approximation for interval-censored exposures led to overestimation of the mean incubation period. Public health observation of potentially exposed persons for 7 days after exposure would be appropriate.
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28
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Buhnerkempe MG, Gostic K, Park M, Ahsan P, Belser JA, Lloyd-Smith JO. Mapping influenza transmission in the ferret model to transmission in humans. eLife 2015; 4. [PMID: 26329460 PMCID: PMC4586390 DOI: 10.7554/elife.07969] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2015] [Accepted: 09/02/2015] [Indexed: 12/27/2022] Open
Abstract
The controversy surrounding 'gain-of-function' experiments on high-consequence avian influenza viruses has highlighted the role of ferret transmission experiments in studying the transmission potential of novel influenza strains. However, the mapping between influenza transmission in ferrets and in humans is unsubstantiated. We address this gap by compiling and analyzing 240 estimates of influenza transmission in ferrets and humans. We demonstrate that estimates of ferret secondary attack rate (SAR) explain 66% of the variation in human SAR estimates at the subtype level. Further analysis shows that ferret transmission experiments have potential to identify influenza viruses of concern for epidemic spread in humans, though small sample sizes and biological uncertainties prevent definitive classification of human transmissibility. Thus, ferret transmission experiments provide valid predictions of pandemic potential of novel influenza strains, though results should continue to be corroborated by targeted virological and epidemiological research. DOI:http://dx.doi.org/10.7554/eLife.07969.001 Every year, thousands of people develop influenza (flu). After being infected by the influenza virus, the immune systems of most people adapt to fight off the virus if it is encountered again. However, there are many different strains of influenza, and new strains constantly evolve. Therefore, although someone may have developed resistance to one previously encountered strain, they can still become ill if another strain infects them. Different strains of the influenza virus have different abilities to spread between people and make them ill. One way that scientists assess whether a particular strain of influenza is a threat to people is by studying ferrets, which develop many of the same flu symptoms as humans. However, questions have been raised over how accurately ferret studies reflect whether a particular virus strain will spread between humans. Controversy has also arisen over experiments in which ferrets are infected with genetically engineered strains of influenza that mimic how a strain that has evolved in birds could adapt to cause a pandemic in humans. In 2014, the United States government suggested that such research should be temporarily stopped until more is known about the risks and usefulness of these studies. Now, Buhnerkempe, Gostic et al. have compared the results of 240 ferret and human studies that aimed to assess how easily strains of influenza spread. Specifically, the studies looked at how often a healthy ferret or human became ill when exposed to an animal or human infected with a particular strain of influenza. The results of the ferret transmission studies matched well with transmission patterns observed in human studies. Ferret studies that assessed how the influenza virus is transmitted through the air via sneezes and coughs were particularly good at predicting how the virus spreads in humans. But Buhnerkempe, Gostic et al. caution that ferret studies are not always accurate, partly because they involve small numbers of animals, which can skew the results. There also needs to be more effort to standardize the procedures and measurements used in ferret studies. Still, the analysis suggests that overall, ferret studies are a useful tool for making an initial prediction of which influenza strains may cause a pandemic in humans, which can then be verified using other methods. DOI:http://dx.doi.org/10.7554/eLife.07969.002
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Affiliation(s)
- Michael G Buhnerkempe
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
| | - Katelyn Gostic
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
| | - Miran Park
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
| | - Prianna Ahsan
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
| | - Jessica A Belser
- Influenza Division, National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, United States
| | - James O Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
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29
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Surveillance of Avian H7N9 Virus in Various Environments of Zhejiang Province, China before and after Live Poultry Markets Were Closed in 2013-2014. PLoS One 2015; 10:e0135718. [PMID: 26308215 PMCID: PMC4550274 DOI: 10.1371/journal.pone.0135718] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Accepted: 07/24/2015] [Indexed: 11/19/2022] Open
Abstract
Background To date, there have been a total of 637 laboratory-confirmed cases of human infection with avian influenza A (H7N9) virus across mainland China, with 28% (179/637) of these reported in Zhejiang Province. Surveillance of avian H7N9 virus was conducted to investigate environmental contamination during H7N9 outbreaks. We sought to evaluate the prevalence of H7N9 in the environment, and the effects of poultry market closures on the incidence of human H7N9 cases. Methods We collected 6740 environmental samples from 751 sampling sites across 11 cities of Zhejiang Province (China) between January 2013 and March 2014. The presence of H7N9 was determined by reverse transcription polymerase chain reaction, with prevalence compared between sites and over time. The relationship between environmental contamination and human cases of H7N9 infection were analyzed using Spearman’s ranked correlation coefficient. Results Of the 6740 samples, 10.09% (680/6740) were H7N9-positive. The virus was found to circulate seasonally, and peaked during the spring and winter of 2013–2014. The prevalence of the virus decreased from the north to the southeast of the province, coinciding with the geographical distribution of human H7N9 cases. Compared with other sampling sites, live poultry markets (LPMs) had the highest prevalence of H7N9 virus at 13.94% (667/4784). Of the various sample types analyzed, virus prevalence was highest for chopping board swabs at 15.49% (110/710). The prevalence of the virus in the environment positively correlated with the incidence of human H7N9 cases (r2 = 0.498; P < 0.01). Cities with a higher incidence of human H7N9 cases also had a higher prevalence of H7N9 among samples and at sampling sites. Following the closure of LPMs at the end of January 2014, the prevalence of H7N9 decreased from 19.18% (487/2539) to 6.92% (79/1141). This corresponded with a decrease in the number of human H7N9 cases reported. Conclusions The prevalence of H7N9 virus in environmental samples oscillated seasonally, regardless of whether LPMs were open. The presence of H7N9 in environmental samples positively correlated with the number of human H7N9 cases, indicating that eradication of the virus from the environment is essential in reducing the numbers of H7N9 cases and halting the spread of the virus.
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30
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Farooqui A, Leon AJ, Huang L, Wu S, Cai Y, Lin P, Chen W, Fang X, Zeng T, Liu Y, Zhang L, Su T, Chen W, Ghedin E, Zhu H, Guan Y, Kelvin DJ. Genetic diversity of the 2013-14 human isolates of influenza H7N9 in China. BMC Infect Dis 2015; 15:109. [PMID: 25880069 PMCID: PMC4352237 DOI: 10.1186/s12879-015-0829-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2014] [Accepted: 02/11/2015] [Indexed: 02/09/2023] Open
Abstract
BACKGROUND Influenza H7N9 has become an endemic pathogen in China where circulating virus is found extensively in wild birds and domestic poultry. Two epidemic waves of Human H7N9 infections have taken place in Eastern and South Central China during the years of 2013 and 2014. In this study, we report on the first four human cases of influenza H7N9 in Shantou, Guangdong province, which occurred during the second H7N9 wave, and the subsequent analysis of the viral isolates. METHODS Viral genomes were subjected to multisegment amplification and sequenced in an Illumina MiSeq. Later, phylogenetic analyses of influenza H7N9 viruses were performed to establish the evolutionary context of the disease in humans. RESULTS The sequences of the isolates from Shantou have closer evolutionary proximity to the predominant Eastern H7N9 cluster (similar to A/Shanghai/1/2013 (H7N9)) than to the Southern H7N9 cluster (similar to A/Guangdong/1/2013 (H7N9)). CONCLUSIONS Two distinct phylogenetic groups of influenza H7N9 circulate currently in China and cause infections in humans as a consequence of cross-species spillover from the avian disease. The Eastern cluster, which includes the four isolates from Shantou, presents a wide geographic distribution and overlaps with the more restricted area of circulation of the Southern cluster. Continued monitoring of the avian disease is of critical importance to better understand and predict the epidemiological behaviour of the human cases.
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Affiliation(s)
- Amber Farooqui
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Alberto J Leon
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
- Division of Experimental Therapeutics, University Health Network, Toronto, Ontario, Canada.
| | - Linxi Huang
- Intensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Suwu Wu
- Intensive Care Unit, Shantou Central Hospital, Shantou, Guangdong, China.
| | - Yingmu Cai
- Department of Laboratory Medicine, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Pengzhou Lin
- Intensive Care Unit, the First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.
| | - Weihong Chen
- Intensive Care Unit, Shantou Central Hospital, Shantou, Guangdong, China.
| | - Xibin Fang
- Intensive Care Unit, Shantou Central Hospital, Shantou, Guangdong, China.
| | - Tiansheng Zeng
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Yisu Liu
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Li Zhang
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Ting Su
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Weibin Chen
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
| | - Elodie Ghedin
- Department of Biology, Center for Genomics and Systems Biology, Global Institute of Public Health, New York University, New York, USA.
| | - Huachen Zhu
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou, China.
- State Key Laboratory of Emerging Infectious Diseases/Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
| | - Yi Guan
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou, China.
- State Key Laboratory of Emerging Infectious Diseases/Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, SAR, China.
| | - David J Kelvin
- Division of Immunology, International Institute of Infection and Immunity, Shantou University Medical College, 22 Xinling Road, Shantou, Guangdong, 515041, China.
- Division of Experimental Therapeutics, University Health Network, Toronto, Ontario, Canada.
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31
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Gostic KM, Kucharski AJ, Lloyd-Smith JO. Effectiveness of traveller screening for emerging pathogens is shaped by epidemiology and natural history of infection. eLife 2015. [PMID: 25695520 DOI: 10.7554/elife05564:116] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
During outbreaks of high-consequence pathogens, airport screening programs have been deployed to curtail geographic spread of infection. The effectiveness of screening depends on several factors, including pathogen natural history and epidemiology, human behavior, and characteristics of the source epidemic. We developed a mathematical model to understand how these factors combine to influence screening outcomes. We analyzed screening programs for six emerging pathogens in the early and late stages of an epidemic. We show that the effectiveness of different screening tools depends strongly on pathogen natural history and epidemiological features, as well as human factors in implementation and compliance. For pathogens with longer incubation periods, exposure risk detection dominates in growing epidemics, while fever becomes a better target in stable or declining epidemics. For pathogens with short incubation, fever screening drives detection in any epidemic stage. However, even in the most optimistic scenario arrival screening will miss the majority of cases.
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Affiliation(s)
- Katelyn M Gostic
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
| | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Tropical Hygiene and Medicine, London, United Kingdom
| | - James O Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
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32
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Gostic KM, Kucharski AJ, Lloyd-Smith JO. Effectiveness of traveller screening for emerging pathogens is shaped by epidemiology and natural history of infection. eLife 2015; 4. [PMID: 25695520 PMCID: PMC4337724 DOI: 10.7554/elife.05564] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2014] [Accepted: 01/20/2015] [Indexed: 11/13/2022] Open
Abstract
During outbreaks of high-consequence pathogens, airport screening programs have been deployed to curtail geographic spread of infection. The effectiveness of screening depends on several factors, including pathogen natural history and epidemiology, human behavior, and characteristics of the source epidemic. We developed a mathematical model to understand how these factors combine to influence screening outcomes. We analyzed screening programs for six emerging pathogens in the early and late stages of an epidemic. We show that the effectiveness of different screening tools depends strongly on pathogen natural history and epidemiological features, as well as human factors in implementation and compliance. For pathogens with longer incubation periods, exposure risk detection dominates in growing epidemics, while fever becomes a better target in stable or declining epidemics. For pathogens with short incubation, fever screening drives detection in any epidemic stage. However, even in the most optimistic scenario arrival screening will miss the majority of cases.
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Affiliation(s)
- Katelyn M Gostic
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
| | - Adam J Kucharski
- Centre for the Mathematical Modelling of Infectious Diseases, Department of Infectious Disease Epidemiology, London School of Tropical Hygiene and Medicine, London, United Kingdom
| | - James O Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, Los Angeles, Los Angeles, United States
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33
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Gu H, Jiang Z, Chen B, Zhang JM, Wang Z, Wang X, Cai J, Chen Y, Zheng D, Jiang J. Knowledge, Attitudes, and Practices Regarding Avian Influenza A (H7N9) Among Mobile Phone Users: A Survey in Zhejiang Province, China. JMIR Mhealth Uhealth 2015; 3:e15. [PMID: 25653213 PMCID: PMC4342637 DOI: 10.2196/mhealth.3394] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2014] [Revised: 11/12/2014] [Accepted: 12/09/2014] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Understanding people's knowledge, attitudes, and practices (KAP) regarding a new infectious disease is crucial to the prevention and control of it. Human infection with avian influenza A (H7N9) was first identified on March 31, 2013 in China. Out of the total number of 134 cases confirmed from March to September 2013 in China, Zhejiang Province saw the greatest number (46 cases). OBJECTIVE This study employed a mobile Internet survey to assess KAP regarding H7N9 among mobile phone users in Zhejiang Province. This study intended to examine KAP by region and the association between sociodemographic variables and KAP. METHODS An anonymous questionnaire was designed by Zhejiang Provincial Center for Disease Control and Prevention (CDC). A cross-sectional survey was executed through a mobile Internet application platform of China Unicom in 5 regions in Zhejiang Province. Stratified and clustered sampling methods were applied and mobile phone users were invited to participate in the study voluntarily. RESULTS A total of 9582 eligible mobile phone users participated in the survey with a response rate of 1.92% (9582/5,000,000). A total of 9105 valid responses (95.02%) were included for statistical analysis. Generally, more than three-quarters of the participants had some basic knowledge of H7N9 and held the attitude recommended by the Zhejiang CDC toward eating cooked poultry (77.55%, 7061/9105) and visiting a hospital at the occurrence of symptoms (78.51%, 7148/9105). Approximately half of the participants worried about contracting H7N9, and took preventive practices recommended by the Zhejiang CDC. But only 14.29% (1301/9105) of participants kept eating cooked poultry as usual. Although worry about H7N9 infection did not differ by region, Hangzhou saw the largest proportion of participants with knowledge of H7N9, which was probably because Hangzhou had the greatest number of H7N9 cases. KAP varied by some sociodemographic variables. Female participants were more likely to know about symptoms of H7N9 (OR 1.32, 95% CI 1.08-1.61), to worry about contracting it (OR 1.15, 95% CI 1.04-1.27), and to report their lives being influenced by it (OR 1.27, 95% CI 1.15-1.41). They were also more likely to take the recommended precautions. Male participants and younger participants were less likely to comply with advocated protective practices. CONCLUSIONS The results suggest that health education should be customized depending on sociodemographic variables to achieve more effective behavioral outcomes.
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Affiliation(s)
- Hua Gu
- Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China
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Mao H, Guo B, Wang F, Sun Y, Lou X, Chen Y, Zhang L, Wang X, Li Z, Liu S, Qin S, Wei J, Pang Z, Chen Z, Zhang Y. A study of family clustering in two young girls with novel avian influenza A (H7N9) in Dongyang, Zhejiang Province, in 2014. J Clin Virol 2015; 63:18-24. [DOI: 10.1016/j.jcv.2014.11.034] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2014] [Revised: 11/18/2014] [Accepted: 11/27/2014] [Indexed: 01/25/2023]
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Wiersma LCM, Vogelzang-van Trierum SE, van Amerongen G, van Run P, Nieuwkoop NJ, Ladwig M, Banneke S, Schaefer H, Kuiken T, Fouchier RAM, Osterhaus ADME, Rimmelzwaan GF. Pathogenesis of infection with 2009 pandemic H1N1 influenza virus in isogenic guinea pigs after intranasal or intratracheal inoculation. THE AMERICAN JOURNAL OF PATHOLOGY 2014; 185:643-50. [PMID: 25555619 DOI: 10.1016/j.ajpath.2014.11.012] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 10/28/2014] [Accepted: 11/06/2014] [Indexed: 01/08/2023]
Abstract
To elucidate the pathogenesis and transmission of influenza virus, the ferret model is typically used. To investigate protective immune responses, the use of inbred mouse strains has proven invaluable. Here, we describe a study with isogenic guinea pigs, which would uniquely combine the advantages of the mouse and ferret models for influenza virus infection. Strain 2 isogenic guinea pigs were inoculated with H1N1pdm09 influenza virus A/Netherlands/602/09 by the intranasal or intratracheal route. Viral replication kinetics were assessed by determining virus titers in nasal swabs and respiratory tissues, which were also used to assess histopathologic changes and the number of infected cells. In all guinea pigs, virus titers peaked in nasal secretions at day 2 after inoculation. Intranasal inoculation resulted in higher virus excretion via the nose and higher virus titers in the nasal turbinates than intratracheal inoculation. After intranasal inoculation, infectious virus was recovered only from nasal epithelium; after intratracheal inoculation, it was recovered also from trachea, lung, and cerebrum. Histopathologic changes corresponded with virus antigen distribution, being largely limited to nasal epithelium for intranasally infected guinea pigs and more widespread in the respiratory tract for intratracheally infected guinea pigs. In summary, isogenic guinea pigs show promise as a model to investigate the role of humoral and cell-mediated immunities to influenza and their effect on virus transmission.
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Affiliation(s)
| | | | - Geert van Amerongen
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands; Viroclinics Biosciences BV, Rotterdam, the Netherlands
| | - Peter van Run
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Nella J Nieuwkoop
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Mechtild Ladwig
- Department of Experimental Toxicology and Centre for Documentation and Evaluation of Alternatives to Animal Experiments, the Federal Institute for Risk Assessment, Berlin, Germany
| | - Stefanie Banneke
- Department of Experimental Toxicology and Centre for Documentation and Evaluation of Alternatives to Animal Experiments, the Federal Institute for Risk Assessment, Berlin, Germany
| | - Hubert Schaefer
- Experimental Immunology, the Robert Koch Institute, Berlin, Germany
| | - Thijs Kuiken
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Ron A M Fouchier
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands
| | - Albert D M E Osterhaus
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands; Viroclinics Biosciences BV, Rotterdam, the Netherlands
| | - Guus F Rimmelzwaan
- Viroscience Laboratory, Erasmus Medical Centre, Rotterdam, the Netherlands; Viroclinics Biosciences BV, Rotterdam, the Netherlands.
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Husain M. Avian influenza A (H7N9) virus infection in humans: Epidemiology, evolution, and pathogenesis. INFECTION GENETICS AND EVOLUTION 2014; 28:304-12. [DOI: 10.1016/j.meegid.2014.10.016] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/10/2014] [Revised: 10/15/2014] [Accepted: 10/17/2014] [Indexed: 12/09/2022]
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