101
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Epidemiological, clinical, and virologic features of two family clusters of avian influenza A (H7N9) virus infections in Southeast China. Sci Rep 2017; 7:1512. [PMID: 28473725 PMCID: PMC5431426 DOI: 10.1038/s41598-017-01761-w] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Accepted: 04/19/2017] [Indexed: 01/08/2023] Open
Abstract
This study aimed to investigate the epidemiological, clinical, and virologic characteristics of avian influenza A (H7N9) confirmed cases from two family clusters in Southeast China. Epidemiological data of the H7N9 confirmed cases and their close contacts were obtained through interviews and reviews of medical records. Of the four patients in these two family clusters, two cases had mild symptoms, one had severe symptoms, and one died. Three of the four patients had a history of exposure to live poultry or contaminated environments. The complete genome sequences of the H7N9 viruses from the same family cluster were highly homologous, and the four isolated viruses from the two family clusters exhibited the virologic features of the H7N9 virus, in terms of transmissibility, pathogenicity, host adaptation, and antiviral drug resistance. In addition, our findings indicated that the A/Fujian/18/2015 viral strain contained an additional hemagglutinin G225D substitution, which preferentially binds α2,6-linked sialic acids. The results of this study demonstrate that one family cluster was infected through common exposure to live poultry or contaminated environments, and the other was more likely to be infected through the human-to-human route.
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102
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Influenza A H5N1 and H7N9 in China: A spatial risk analysis. PLoS One 2017; 12:e0174980. [PMID: 28376125 PMCID: PMC5380336 DOI: 10.1371/journal.pone.0174980] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2016] [Accepted: 03/19/2017] [Indexed: 11/19/2022] Open
Abstract
Background Zoonotic avian influenza poses a major risk to China, and other parts of the world. H5N1 has remained endemic in China and globally for nearly two decades, and in 2013, a novel zoonotic influenza A subtype H7N9 emerged in China. This study aimed to improve upon our current understanding of the spreading mechanisms of H7N9 and H5N1 by generating spatial risk profiles for each of the two virus subtypes across mainland China. Methods and findings In this study, we (i) developed a refined data set of H5N1 and H7N9 locations with consideration of animal/animal environment case data, as well as spatial accuracy and precision; (ii) used this data set along with environmental variables to build species distribution models (SDMs) for each virus subtype in high resolution spatial units of 1km2 cells using Maxent; (iii) developed a risk modelling framework which integrated the results from the SDMs with human and chicken population variables, which was done to quantify the risk of zoonotic transmission; and (iv) identified areas at high risk of H5N1 and H7N9 transmission. We produced high performing SDMs (6 of 8 models with AUC > 0.9) for both H5N1 and H7N9. In all our SDMs, H7N9 consistently showed higher AUC results compared to H5N1, suggesting H7N9 suitability could be better explained by environmental variables. For both subtypes, high risk areas were primarily located in south-eastern China, with H5N1 distributions found to be more diffuse and extending more inland compared to H7N9. Conclusions We provide projections of our risk models to public health policy makers so that specific high risk areas can be targeted for control measures. We recommend comparing H5N1 and H7N9 prevalence rates and survivability in the natural environment to better understand the role of animal and environmental transmission in human infections.
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103
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Turner JCM, Feeroz MM, Hasan MK, Akhtar S, Walker D, Seiler P, Barman S, Franks J, Jones-Engel L, McKenzie P, Krauss S, Webby RJ, Kayali G, Webster RG. Insight into live bird markets of Bangladesh: an overview of the dynamics of transmission of H5N1 and H9N2 avian influenza viruses. Emerg Microbes Infect 2017; 6:e12. [PMID: 28270655 PMCID: PMC5378921 DOI: 10.1038/emi.2016.142] [Citation(s) in RCA: 47] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2016] [Revised: 12/20/2016] [Accepted: 12/26/2016] [Indexed: 01/19/2023]
Abstract
Highly pathogenic avian influenza (HPAI) H5N1 and low pathogenic avian influenza (LPAI) H9N2 viruses have been recognized as threats to public health in Bangladesh since 2007. Although live bird markets (LBMs) have been implicated in the transmission, dissemination, and circulation of these viruses, an in-depth analysis of the dynamics of avian transmission of H5N1 and H9N2 viruses at the human-animal interface has been lacking. Here we present and evaluate epidemiological findings from active surveillance conducted among poultry in various production sectors in Bangladesh from 2008 to 2016. Overall, the prevalence of avian influenza viruses (AIVs) in collected samples was 24%. Our data show that AIVs are more prevalent in domestic birds within LBMs (30.4%) than in farms (9.6%). Quail, chickens and ducks showed a high prevalence of AIVs (>20%). The vast majority of AIVs detected (99.7%) have come from apparently healthy birds and poultry drinking water served as a reservoir of AIVs with a prevalence of 32.5% in collected samples. HPAI H5N1 was more frequently detected in ducks while H9N2 was more common in chickens and quail. LBMs, particularly wholesale markets, have become a potential reservoir for various types of AIVs, including HPAI H5N1 and LPAI H9N2. The persistence of AIVs in LBMs is of great concern to public health, and this study highlights the importance of regularly reviewing and implementing infection control procedures as a means of reducing the exposure of the general public to AIVs.Emerging Microbes & Infections (2017) 6, e12; doi:10.1038/emi.2016.142; published online 8 March 2017.
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Affiliation(s)
- Jasmine C M Turner
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Mohammed M Feeroz
- Department of Zoology, Jahangirnagar University, Dhaka 1342, Bangladesh
| | - M Kamrul Hasan
- Department of Anthropology, University of Washington, Seattle, WA 98105, USA
| | - Sharmin Akhtar
- Department of Anthropology, University of Washington, Seattle, WA 98105, USA
| | - David Walker
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Patrick Seiler
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Subrata Barman
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - John Franks
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Lisa Jones-Engel
- Department of Anthropology, University of Washington, Seattle, WA 98105, USA
| | - Pamela McKenzie
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Scott Krauss
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Richard J Webby
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Ghazi Kayali
- Department of Epidemiology, Human Genetics, and Environmental Sciences, University of Texas Health Sciences Center, Houston, TX 77459, USA
- Human Link, Hazmieh, Baabda 1107-2090, Lebanon
| | - Robert G Webster
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
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104
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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: 3.3] [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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105
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Diversity, evolution and population dynamics of avian influenza viruses circulating in the live poultry markets in China. Virology 2017; 505:33-41. [PMID: 28222327 DOI: 10.1016/j.virol.2017.02.009] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2016] [Revised: 02/13/2017] [Accepted: 02/13/2017] [Indexed: 12/22/2022]
Abstract
Live poultry markets (LPMs) are an important source of novel avian influenza viruses (AIV). During 2015-2016 we surveyed AIV diversity in ten LPMs in Hubei, Zhejiang and Jiangxi provinces, China. A high diversity and prevalence of AIVs (totaling 12 subtypes) was observed in LPMs in these provinces. Strikingly, however, the subtypes discovered during 2015-2016 were markedly different to those reported by us in these same localities one year previously, suggesting a dynamic shift in viral genetic diversity over the course of a single year. Phylogenetic analyses revealed frequent reassortment, including between high and low pathogenic AIV subtypes and among those that circulate in domestic and wild birds. Notably, the novel H5N6 reassortant virus, which contains a set of H9N2-like internal genes, was prevalent in all three regions surveyed. Overall, these data highlight the profound changes in genetic diversity and in patterns of reassortment in those AIVs that circulate in LPMs.
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106
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Li R, Bai Y, Heaney A, Kandula S, Cai J, Zhao X, Xu B, Shaman J. Inference and forecast of H7N9 influenza in China, 2013 to 2015. Euro Surveill 2017; 22. [PMID: 28230525 PMCID: PMC5322186 DOI: 10.2807/1560-7917.es.2017.22.7.30462] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2016] [Accepted: 01/10/2017] [Indexed: 11/30/2022] Open
Abstract
The recent emergence of A(H7N9) avian influenza poses a significant challenge to public health in China and around the world; however, understanding of the transmission dynamics and progression of influenza A(H7N9) infection in domestic poultry, as well as spillover transmission to humans, remains limited. Here, we develop a mathematical model–Bayesian inference system which combines a simple epidemic model and data assimilation method, and use it in conjunction with data on observed human influenza A(H7N9) cases from 19 February 2013 to 19 September 2015 to estimate key epidemiological parameters and to forecast infection in both poultry and humans. Our findings indicate a high outbreak attack rate of 33% among poultry but a low rate of chicken-to-human spillover transmission. In addition, we generated accurate forecasts of the peak timing and magnitude of human influenza A(H7N9) cases. This work demonstrates that transmission dynamics within an avian reservoir can be estimated and that real-time forecast of spillover avian influenza in humans is possible.
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Affiliation(s)
- Ruiyun Li
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
| | - Yuqi Bai
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Alex Heaney
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
| | - Sasikiran Kandula
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
| | - Jun Cai
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Xuyi Zhao
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Bing Xu
- State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China
- Ministry of Education Key Laboratory for Earth System Modeling, Center for Earth System Science, Tsinghua University, Beijing, China
| | - Jeffrey Shaman
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, United States
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107
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Wu T, Perrings C, Kinzig A, Collins JP, Minteer BA, Daszak P. Economic growth, urbanization, globalization, and the risks of emerging infectious diseases in China: A review. AMBIO 2017; 46:18-29. [PMID: 27492678 PMCID: PMC5226902 DOI: 10.1007/s13280-016-0809-2] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/08/2015] [Revised: 04/16/2016] [Accepted: 07/18/2016] [Indexed: 05/17/2023]
Abstract
Three interrelated world trends may be exacerbating emerging zoonotic risks: income growth, urbanization, and globalization. Income growth is associated with rising animal protein consumption in developing countries, which increases the conversion of wild lands to livestock production, and hence the probability of zoonotic emergence. Urbanization implies the greater concentration and connectedness of people, which increases the speed at which new infections are spread. Globalization-the closer integration of the world economy-has facilitated pathogen spread among countries through the growth of trade and travel. High-risk areas for the emergence and spread of infectious disease are where these three trends intersect with predisposing socioecological conditions including the presence of wild disease reservoirs, agricultural practices that increase contact between wildlife and livestock, and cultural practices that increase contact between humans, wildlife, and livestock. Such an intersection occurs in China, which has been a "cradle" of zoonoses from the Black Death to avian influenza and SARS. Disease management in China is thus critical to the mitigation of global zoonotic risks.
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Affiliation(s)
- Tong Wu
- School of Life Sciences, Arizona State University, LSA 123, 427 East Tyler Mall, Tempe, AZ 85287 USA
| | - Charles Perrings
- School of Life Sciences, Arizona State University, LSA 127, 427 East Tyler Mall, Tempe, AZ 85287 USA
| | - Ann Kinzig
- School of Life Sciences, Arizona State University, LSA 124, 427 East Tyler Mall, Tempe, AZ 85287 USA
- Global Institute of Sustainability, Arizona State University, 800 South Cady Mall, Tempe, AZ 85287 USA
| | - James P. Collins
- School of Life Sciences, Arizona State University, LSC 402, 427 East Tyler Mall, Tempe, AZ 85287 USA
| | - Ben A. Minteer
- School of Life Sciences, Arizona State University, LSA 262, 427 East Tyler Mall, Tempe, AZ 85287 USA
| | - Peter Daszak
- EcoHealth Alliance, 460 West 34th Street - 17th Floor, New York, NY 10001 USA
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108
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Chu DH, Stevenson MA, Nguyen LV, Isoda N, Firestone SM, Nguyen TN, Nguyen LT, Matsuno K, Okamatsu M, Kida H, Sakoda Y. A cross-sectional study to quantify the prevalence of avian influenza viruses in poultry at intervention and non-intervention live bird markets in central Vietnam, 2014. Transbound Emerg Dis 2017; 64:1991-1999. [PMID: 28120423 DOI: 10.1111/tbed.12605] [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: 07/28/2016] [Indexed: 11/26/2022]
Abstract
In Vietnam, live bird markets are found in most populated centres, providing the means by which fresh poultry can be purchased by consumers for immediate consumption. Live bird markets are aggregation points for large numbers of poultry, and therefore, it is common for a range of avian influenza viruses to be mixed within live bird markets as a result of different poultry types and species being brought together from different geographical locations. We conducted a cross-sectional study in seven live bird markets in four districts of Thua Thien Hue Province in August and December, 2014. The aims of this study were to (i) document the prevalence of avian influenza in live bird markets (as measured by virus isolation); and (ii) quantify individual bird-, seller- and market-level characteristics that rendered poultry more likely to be positive for avian influenza virus at the time of sale. A questionnaire soliciting details of knowledge, attitude and avian influenza practices was administered to poultry sellers in study markets. At the same time, swabs and faecal samples were collected from individual poultry and submitted for isolation of avian influenza virus. The final data set comprised samples from 1,629 birds from 83 sellers in the seven live bird markets. A total of 113 birds were positive for virus isolation; a prevalence of 6.9 (95% CI 5.8-8.3) avian influenza virus-positive birds per 100 birds submitted for sale. After adjusting for clustering at the market and individual seller levels, none of the explanatory variables solicited in the questionnaire were significantly associated with avian influenza virus isolation positivity. The proportions of variance at the individual market, seller and individual bird levels were 6%, 48% and 46%, respectively. We conclude that the emphasis of avian influenza control efforts in Vietnam should be at the individual seller level as opposed to the market level.
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Affiliation(s)
- D-H Chu
- Laboratory of Microbiology, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,Department of Animal Health, Ministry of Agriculture and Rural Development, Hanoi, Vietnam
| | - M A Stevenson
- Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Vic., Australia
| | - L V Nguyen
- Department of Animal Health, Ministry of Agriculture and Rural Development, Hanoi, Vietnam
| | - N Isoda
- Unit of Risk Analysis and Management, Research Center for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan.,Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Hokkaido, Japan
| | - S M Firestone
- Asia-Pacific Centre for Animal Health, Faculty of Veterinary and Agricultural Sciences, The University of Melbourne, Parkville, Vic., Australia
| | - T N Nguyen
- Department of Animal Health, Ministry of Agriculture and Rural Development, Hanoi, Vietnam
| | - L T Nguyen
- Laboratory of Microbiology, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - K Matsuno
- Laboratory of Microbiology, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Hokkaido, Japan
| | - M Okamatsu
- Laboratory of Microbiology, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - H Kida
- Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Hokkaido, Japan.,World Organization for Animal Health Reference Laboratory for Highly Pathogenic Avian Influenza and Low Pathogenic Avian Influenza, Sapporo, Hokkaido, Japan
| | - Y Sakoda
- Laboratory of Microbiology, Department of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Hokkaido, Japan.,World Organization for Animal Health Reference Laboratory for Highly Pathogenic Avian Influenza and Low Pathogenic Avian Influenza, Sapporo, Hokkaido, Japan
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109
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Xiang N, Bai T, Kang K, Yuan H, Zhou S, Ren R, Li X, Wu J, Deng L, Zeng G, Wang X, Mao S, Shi J, Gao R, Chen T, Zou S, Li D, Havers F, Widdowson MA, Greene CM, Zhang Y, Ni D, Liu X, Li Q, Shu Y. Sero-epidemiologic study of influenza A(H7N9) infection among exposed populations, China 2013-2014. Influenza Other Respir Viruses 2017; 11:170-176. [PMID: 27762061 PMCID: PMC5304573 DOI: 10.1111/irv.12435] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/17/2016] [Indexed: 01/07/2023] Open
Abstract
Background The first human infections of novel avian influenza A(H7N9) virus were identified in China in March 2013. Sentinel surveillance systems and contact tracing may not identify mild and asymptomatic human infections of influenza A(H7N9) virus. Objectives We assessed the seroprevalence of antibodies to influenza A(H7N9) virus in three populations during the early stages of the epidemic. Patients/Methods From March 2013 to May 2014, we collected sera from the general population, poultry workers, and contacts of confirmed infections in nine Chinese provinces reporting human A(H7N9) infections and, for contacts, second sera 2‐3 weeks later. We screened for A(H7N9) antibodies by advanced hemagglutination inhibition (HI) assay and tested sera with HI titers ≥20 by modified microneutralization (MN) assay. MN titers ≥20 or fourfold increases in paired sera were considered seropositive. Results Among general population sera (n=1480), none were seropositive. Among poultry worker sera (n=1866), 28 had HI titers ≥20; two (0.11%, 95% CI: 0.02‐0.44) were positive by MN. Among 61 healthcare and 117 non‐healthcare contacts’ sera, five had HI titers ≥20, and all were negative by MN. There was no seroconversion among 131 paired sera. Conclusions There was no evidence of widespread transmission of influenza A(H7N9) virus during March 2013 to May 2014, although A(H7N9) may have caused rare, previously unrecognized infections among poultry workers. Although the findings suggest that there were few undetected cases of influenza A(H7N9) early in the epidemic, it is important to continue monitoring transmission as virus and epidemic evolve.
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Affiliation(s)
- Nijuan Xiang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Tian Bai
- National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Kai Kang
- Henan Provincial Center for Disease Control and Prevention, Zhengzhou, Henan Province, China
| | - Hui Yuan
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Suizan Zhou
- United States Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Ruiqi Ren
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiuying Li
- Xinhui District Center for Disease Control and Prevention, Jiangmen, Guangdong Province, China
| | - Jiabing Wu
- Anhui Provincial Center for Disease Control and Prevention, Hefei, Anhui Province, China
| | - Liquan Deng
- Jilin Provincial Center for Disease Control and Prevention, Changchun, Jilin Province, China
| | - Ge Zeng
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan Province, China
| | - Xianjun Wang
- Shandong Provincial Center for Disease Control and Prevention, Jinan, Shandong Province, China
| | - Shenghua Mao
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Jian Shi
- Hebei Provincial Center for Disease Control and Prevention, Shijiazhuang, Hebei Province, China
| | - Rongbao Gao
- National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Tao Chen
- National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Sumei Zou
- National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
| | - Dan Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Fiona Havers
- United States Centers for Disease Control and Prevention, Atlanta, GA, USA
| | | | - Carolyn M Greene
- United States Centers for Disease Control and Prevention, Atlanta, GA, USA
| | - Yanping Zhang
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Daxin Ni
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Xiaoqing Liu
- Jiangxi Provincial Center for Disease Control and Prevention, Nanchang, Jiangxi Province, China
| | - Qun Li
- Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Collaboration Innovation Center for Diagnosis and Treatment of Infectious Diseases, Chinese Center for Disease Control and Prevention, Key Laboratory for Medical Virology, National Health and Family Planning Commission, Beijing, China
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110
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Sudden increase in human infection with avian influenza A(H7N9) virus in China, September-December 2016. Western Pac Surveill Response J 2017; 8:6-14. [PMID: 28409054 PMCID: PMC5375094 DOI: 10.5365/wpsar.2017.8.1.001] [Citation(s) in RCA: 87] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Since the first outbreak of avian influenza A(H7N9) virus in humans was identified in 2013, there have been five seasonal epidemics observed in China. An earlier start and a steep increase in the number of humans infected with H7N9 virus was observed between September and December 2016, raising great public concern in domestic and international societies. The epidemiological characteristics of the recently reported confirmed H7N9 cases were analysed. The results suggested that although more cases were reported recently, most cases in the fifth epidemic were still highly sporadically distributed without any epidemiology links; the main characteristics remained unchanged and the genetic characteristics of virus strains that were isolated in this epidemic remained similar to earlier epidemics. Interventions included live poultry market closures in several cities that reported more H7N9 cases recently.
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111
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Lu L, Leigh Brown AJ, Lycett SJ. Quantifying predictors for the spatial diffusion of avian influenza virus in China. BMC Evol Biol 2017; 17:16. [PMID: 28086751 PMCID: PMC5237338 DOI: 10.1186/s12862-016-0845-3] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Accepted: 12/08/2016] [Indexed: 11/18/2022] Open
Abstract
Background Avian influenza virus (AIV) causes both severe outbreaks and endemic disease among poultry and has caused sporadic human infections in Asia, furthermore the routes of transmission in avian species between geographic regions can be numerous and complex. Using nucleotide sequences from the internal protein coding segments of AIV, we performed a Bayesian phylogeographic study to uncover regional routes of transmission and factors predictive of the rate of viral diffusion within China. Results We found that the Central area and Pan-Pearl River Delta were the two main sources of AIV diffusion, while the East Coast areas especially the Yangtze River delta, were the major targets of viral invasion. Next we investigated the extent to which economic, agricultural, environmental and climatic regional data was predictive of viral diffusion by fitting phylogeographic discrete trait models using generalised linear models. Conclusions Our results highlighted that the economic-agricultural predictors, especially the poultry population density and the number of farm product markets, are the key determinants of spatial diffusion of AIV in China; high human density and freight transportation are also important predictors of high rates of viral transmission; Climate features (e.g. temperature) were correlated to the viral invasion in the destination to some degree; while little or no impacts were found from natural environment factors (such as surface water coverage). This study uncovers the risk factors and enhances our understanding of the spatial dynamics of AIV in bird populations. Electronic supplementary material The online version of this article (doi:10.1186/s12862-016-0845-3) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Lu Lu
- Institute of Evolutionary Biology, Ashworth Laboratories, University of Edinburgh, Edinburgh, EH9 3JT, UK
| | - Andrew J Leigh Brown
- Institute of Evolutionary Biology, Ashworth Laboratories, University of Edinburgh, Edinburgh, EH9 3JT, UK
| | - Samantha J Lycett
- The Roslin Institute, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, UK.
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112
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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: 1.1] [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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113
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Joseph U, Su YCF, Vijaykrishna D, Smith GJD. The ecology and adaptive evolution of influenza A interspecies transmission. Influenza Other Respir Viruses 2017; 11:74-84. [PMID: 27426214 PMCID: PMC5155642 DOI: 10.1111/irv.12412] [Citation(s) in RCA: 70] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/13/2016] [Indexed: 12/16/2022] Open
Abstract
Since 2013, there have been several alarming influenza-related events; the spread of highly pathogenic avian influenza H5 viruses into North America, the detection of H10N8 and H5N6 zoonotic infections, the ongoing H7N9 infections in China and the continued zoonosis of H5N1 viruses in parts of Asia and the Middle East. The risk of a new influenza pandemic increases with the repeated interspecies transmission events that facilitate reassortment between animal influenza strains; thus, it is of utmost importance to understand the factors involved that promote or become a barrier to cross-species transmission of Influenza A viruses (IAVs). Here, we provide an overview of the ecology and evolutionary adaptations of IAVs, with a focus on a review of the molecular factors that enable interspecies transmission of the various virus gene segments.
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MESH Headings
- Animals
- Animals, Wild
- Asia/epidemiology
- China/epidemiology
- Disease Reservoirs/virology
- Ducks/virology
- Evolution, Molecular
- Geese/virology
- Humans
- Influenza A Virus, H5N1 Subtype/genetics
- Influenza A Virus, H5N1 Subtype/pathogenicity
- Influenza A Virus, H5N1 Subtype/physiology
- Influenza A Virus, H7N9 Subtype/genetics
- Influenza A Virus, H7N9 Subtype/pathogenicity
- Influenza A Virus, H7N9 Subtype/physiology
- Influenza A virus/genetics
- Influenza A virus/pathogenicity
- Influenza A virus/physiology
- Influenza in Birds/virology
- Influenza, Human/transmission
- Influenza, Human/virology
- Orthomyxoviridae Infections/transmission
- Orthomyxoviridae Infections/virology
- Phylogeny
- Reassortant Viruses/genetics
- Reassortant Viruses/pathogenicity
- Reassortant Viruses/physiology
- Zoonoses
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Affiliation(s)
| | | | | | - Gavin J. D. Smith
- Duke‐NUS Medical SchoolSingapore
- Duke Global Health InstituteDuke UniversityDurhamNCUSA
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114
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Artois J, Lai S, Feng L, Jiang H, Zhou H, Li X, Dhingra MS, Linard C, Nicolas G, Xiao X, Robinson TP, Yu H, Gilbert M. H7N9 and H5N1 avian influenza suitability models for China: accounting for new poultry and live-poultry markets distribution data. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT : RESEARCH JOURNAL 2017; 31:393-402. [PMID: 28298880 PMCID: PMC5329093 DOI: 10.1007/s00477-016-1362-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
In the last two decades, two important avian influenza viruses infecting humans emerged in China, the highly pathogenic avian influenza (HPAI) H5N1 virus in the late nineties, and the low pathogenic avian influenza (LPAI) H7N9 virus in 2013. China is home to the largest population of chickens (4.83 billion) and ducks (0.694 billion), representing, respectively 23.1 and 58.6% of the 2013 world stock, with a significant part of poultry sold through live-poultry markets potentially contributing to the spread of avian influenza viruses. Previous models have looked at factors associated with HPAI H5N1 in poultry and LPAI H7N9 in markets. However, these have not been studied and compared with a consistent set of predictor variables. Significant progress was recently made in the collection of poultry census and live-poultry market data, which are key potential factors in the distribution of both diseases. Here we compiled and reprocessed a new set of poultry census data and used these to analyse HPAI H5N1 and LPAI H7N9 distributions with boosted regression trees models. We found a limited impact of the improved poultry layers compared to models based on previous poultry census data, and a positive and previously unreported association between HPAI H5N1 outbreaks and the density of live-poultry markets. In addition, the models fitted for the HPAI H5N1 and LPAI H7N9 viruses predict a high risk of disease presence for the area around Shanghai and Hong Kong. The main difference in prediction between the two viruses concerned the suitability of HPAI H5N1 in north-China around the Yellow sea (outlined with Tianjin, Beijing, and Shenyang city) where LPAI H7N9 has not spread intensely.
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Affiliation(s)
- Jean Artois
- Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium
| | - Shengjie Lai
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China
- WorldPop, Department of Geography and Environment, University of Southampton, Southampton, SO17 1BJ UK
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032 China
| | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China
| | - Hui Jiang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China
| | - Hang Zhou
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, 155 Changbai Road, Changping District, Beijing, 102206 China
| | - Xiangping Li
- Institute of Biodiversity Science, Fudan University, Shanghai, 200433 China
| | - Madhur S. Dhingra
- Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium
- Department of Animal Husbandry & Dairying, Government of Haryana, Pashudhan Bhawan, Bays No. 9-12, Sector -2, Panchkula, Haryana 134109 India
| | - Catherine Linard
- Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium
- Department of Geography, Université de Namur, Namur, Belgium
| | - Gaëlle Nicolas
- Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium
| | - Xiangming Xiao
- Department of Microbiology and Plant Biology, Center for Spatial AnalysisUniversity of Oklahoma, 101 David L. Boren Blvd, Norman, OK 73019 USA
| | - Timothy P. Robinson
- Livestock Systems and Environment (LSE), International Livestock Research Institute (ILRI), Nairobi, Kenya
| | - Hongjie Yu
- Key Laboratory of Public Health Safety, Ministry of Education, School of Public Health, Fudan University, Shanghai, 200032 China
| | - Marius Gilbert
- Spatial Epidemiology Lab. (SpELL), Université Libre de Bruxelles, Brussels, Belgium
- Fonds National de la Recherche Scientifique, Brussels, Belgium
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115
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Jiménez-Bluhm P, Karlsson EA, Ciuoderis KA, Cortez V, Marvin SA, Hamilton-West C, Schultz-Cherry S, Osorio JE. Avian H11 influenza virus isolated from domestic poultry in a Colombian live animal market. Emerg Microbes Infect 2016; 5:e121. [PMID: 27924808 PMCID: PMC5180366 DOI: 10.1038/emi.2016.121] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2016] [Revised: 09/08/2016] [Accepted: 09/13/2016] [Indexed: 01/29/2023]
Abstract
Live animal markets (LAMs) are an essential source of food and trade in Latin American countries; however, they can also serve as ‘hotbeds' for the emergence and potential spillover of avian influenza viruses (AIV). Despite extensive knowledge of AIV in Asian LAMs, little is known about the prevalence South American LAMs. To fill this gap in knowledge, active surveillance was carried out at the major LAM in Medellin, Colombia between February and September 2015. During this period, overall prevalence in the market was 2.67% and a North American origin H11N2 AIV most similar to a virus isolated from Chilean shorebirds asymptomatically spread through multiple bird species in the market resulting in 17.0% positivity at peak of infection. Phenotypically, the H11 viruses displayed no known molecular markers associated with increased virulence in birds or mammals, had α2,3-sialic acid binding preference, and caused minimal replication in vitro and little morbidity in vivo. However, the Colombian H11N2 virus replicated and transmitted effectively in chickens explaining the spread throughout the market. Genetic similarity to H11 viruses isolated from North and South American shorebirds suggest that the LAM occurrence may have resulted from a wild bird to domestic poultry spillover event. The ability to spread in domestic poultry as well as potential for human infection by H11 viruses highlight the need for enhanced AIV surveillance in South America in both avian species and humans.
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Affiliation(s)
- Pedro Jiménez-Bluhm
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Erik A Karlsson
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Karl A Ciuoderis
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Valerie Cortez
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Shauna A Marvin
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Christopher Hamilton-West
- Faculty of Veterinary Science, Department of Preventive Medicine, University of Chile, Santiago 8820808, Chile
| | - Stacey Schultz-Cherry
- Department of Infectious Diseases, St Jude Children's Research Hospital, Memphis, TN 38105, USA
| | - Jorge E Osorio
- Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin-Madison, Madison, WI 53706, USA
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116
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Offeddu V, Cowling BJ, Peiris JM. Interventions in live poultry markets for the control of avian influenza: a systematic review. One Health 2016; 2:55-64. [PMID: 27213177 PMCID: PMC4871622 DOI: 10.1016/j.onehlt.2016.03.002] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Revised: 02/17/2016] [Accepted: 03/14/2016] [Indexed: 11/19/2022] Open
Abstract
Background Live poultry markets (LPMs) pose a threat to public health by promoting the amplification and dissemination of avian influenza viruses (AIVs) and by providing the ideal setting for zoonotic influenza transmission. Objective This review assessed the impact of different interventions implemented in LPMs to control the emergence of zoonotic influenza. Methods Publications were identified through a systematic literature search in the PubMed, MEDLINE and Web of Science databases. Eligible studies assessed the impact of different interventions, such as temporary market closure or a ban on holding poultry overnight, in reducing i) AIV-detection rates in birds and the market environment or ii) influenza incidence in humans. Unpublished literature, reviews, editorials, cross-sectional studies, theoretical models and publications in languages other than English were excluded. Relevant findings were extracted and critically evaluated. For the comparative analysis of findings across studies, standardized outcome measures were computed as i) the relative risk reduction (RRR) of AIV-detection in LPMs and ii) incidence rate ratios (IRRs) of H7N9-incidence in humans. Results A total of 16 publications were identified and reviewed. Collectively, the data suggest that AIV-circulation can be significantly reduced in the LPM-environment and among market-birds through (i) temporary LPM closure, (ii) periodic rest days (iii) market depopulation overnight and (iv) improved hygiene and disinfection. Overall, the findings indicate that the length of stay of poultry in the market is a critical control point to interrupt the AIV-replication cycle within LPMs. In addition, temporary LPM closure was associated with a significant reduction of the incidence of zoonotic influenza. The interpretation of these findings is limited by variations in the implementation of interventions. In addition, some of the included studies were of ecologic nature or lacked an inferential framework, which might have lead to cosiderable confounding and bias. Conclusions The evidence collected in this review endorses permanent LPM-closure as a long-term objective to reduce the zoonotic risk of avian influenza, although its economic and socio-political implications favour less drastic interventions, e.g. weekly rest days, for implementation in the short-term. •Avian influenza viruses (AIVs) can infect humans. Bird-to-human transmission is particularly intense in live poultry markets. •Periodic rest days, overnight depopulation or sale bans of certain species significantly reduce AIV-circulation in the markets. •Market closure would lastingly reduce the risk of animal and human infection.
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Key Words
- influenza a virus
- live poultry market
- a/h7n9
- a/h9n2
- closure
- rest day
- c/d, cleansing and disinfection
- glm, general linear model
- irr, incidence rate ratio
- lbm, live bird market
- lpm, live poultry market
- ndv, newcastle disease virus
- or, odds ratio
- pue, pneumonia of unknown etiology
- rlpm, retail live poultry market
- rr, relative risk
- rrr, relative risk reduction
- rt-pcr, reverse transcription polymerase chain reaction
- wlpm, wholesale live poultry market
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Affiliation(s)
- Vittoria Offeddu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - J.S. Malik Peiris
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
- Centre of Influenza Research, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
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117
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Li HJ, Cheng Q, Wang L. Understanding spatial spread of emerging infectious diseases in contemporary populations: Comment on "Pattern transitions in spatial epidemics: Mechanisms and emergent properties" by Gui-Quan Sun et al. Phys Life Rev 2016; 19:95-97. [PMID: 27818036 DOI: 10.1016/j.plrev.2016.10.008] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Accepted: 10/21/2016] [Indexed: 11/26/2022]
Affiliation(s)
- Hui-Jia Li
- School of Management Science and Engineering, Central University of Finance and Economics, Beijing 100080, China
| | - Qing Cheng
- Science and Technology on Information Systems Engineering Laboratory, National University of Defense Technology, Changsha 410073, China
| | - Lin Wang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region.
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118
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Differences in the Epidemiology of Childhood Infections with Avian Influenza A H7N9 and H5N1 Viruses. PLoS One 2016; 11:e0161925. [PMID: 27695069 PMCID: PMC5047462 DOI: 10.1371/journal.pone.0161925] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 08/15/2016] [Indexed: 11/19/2022] Open
Abstract
The difference between childhood infections with avian influenza viruses A(H5N1) and A(H7N9) remains an unresolved but critically important question. We compared the epidemiological characteristics of 244 H5N1 and 41 H7N9 childhood cases (<15 years old), as well as the childhood cluster cases of the two viruses. Our findings revealed a higher proportion of H5N1 than H7N9 childhood infections (31.1% vs. 6.4%, p = 0.000). However, the two groups did not differ significantly in age (median age: 5.0 vs. 5.5 y, p = 0.0651). The proportion of clustered cases was significantly greater among children infected with H5N1 than among children infected with H7N9 [46.7% (71/152) vs. 23.6% (13/55), p = 0.005], and most of the childhood cases were identified as secondary cases [46.4% (45/97) vs. 33.3% (10/30), p = 0.000]. Mild status accounted for 79.49% and 22.66%, severe status for 17.95% and 2.34%, and fatal cases for 2.56% and 75.00% of the H7N9 and H5N1 childhood infection cases (all p<0.05), respectively. The fatality rates for the total, index and secondary childhood cluster cases were 52.86% (37/70), 88.5% (23/26) and 33.33% (15/45), respectively, in the H5N1 group, whereas no fatal H7N9 childhood cluster cases were identified. In conclusion, lower severity and greater transmission were found in the H7N9 childhood cases than in the H5N1 childhood cases.
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119
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Zhou L, Ren R, Ou J, Kang M, Wang X, Havers F, Huo X, Liu X, Sun Q, He Y, Liu B, Wu S, Wang Y, Sui H, Zhang Y, Tang S, Chang C, Xiang L, Wang D, Zhao S, Zhou S, Chen T, Xiang N, Greene CM, Zhang Y, Shu Y, Feng Z, Li Q. Risk Factors for Influenza A(H7N9) Disease in China, a Matched Case Control Study, October 2014 to April 2015. Open Forum Infect Dis 2016; 3:ofw182. [PMID: 27704029 PMCID: PMC5047420 DOI: 10.1093/ofid/ofw182] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Accepted: 08/23/2016] [Indexed: 11/16/2022] Open
Abstract
Background. Human infections with avian influenza A(H7N9) virus have been associated with exposure to poultry and live poultry markets (LPMs). We conducted a case-control study to identify additional and more specific risk factors. Methods. Cases were laboratory-confirmed A(H7N9) infections in persons in China reported from October 1, 2014 to April 30, 2015. Poultry workers, those with insufficient data, and those refusing participation were excluded. We matched up to 4 controls per case by sex, age, and residential community. Using conditional logistic regression, we examined associations between A(H7N9) infection and potential risk factors. Results. Eighty-five cases and 334 controls were enrolled with similar demographic characteristics. Increased risk of A(H7N9) infection was associated with the following: visiting LPMs (adjusted odds ratio [aOR], 6.3; 95% confidence interval [CI], 2.6–15.3), direct contact with live poultry in LPMs (aOR, 4.1; 95% CI, 1.1–15.6), stopping at a live poultry stall when visiting LPMs (aOR, 2.7; 95% CI, 1.1–6.9), raising backyard poultry at home (aOR, 7.7; 95% CI, 2.0–30.5), direct contact with backyard poultry (aOR, 4.9; 95% CI, 1.1–22.1), and having ≥1 chronic disease (aOR, 3.1; 95% CI, 1.5–6.5). Conclusions. Our study identified raising backyard poultry at home as a risk factor for illness with A(H7N9), suggesting the need for enhanced avian influenza surveillance in rural areas.
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Affiliation(s)
- Lei Zhou
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Ruiqi Ren
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Jianming Ou
- Fujian Center for Disease Control and Prevention , Fuzhou
| | - Min Kang
- Guangdong Center for Disease Control and Prevention , Guangzhou
| | - Xiaoxiao Wang
- Zhejiang Center for Disease Control and Prevention , Hangzhou , China
| | - Fiona Havers
- United States Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Xiang Huo
- Jiangsu Center for Disease Control and Prevention , Nanjing
| | - Xiaoqing Liu
- Jiangxi Center for Disease Control and Prevention , Nanchang
| | - Qianlai Sun
- Hunan Center for Disease Control and Prevention , Changsha
| | - Yongchao He
- Shanghai Center for Disease Control and Prevention
| | - Bo Liu
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Shenggen Wu
- Fujian Center for Disease Control and Prevention , Fuzhou
| | - Yali Wang
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Haitian Sui
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Yongjie Zhang
- Chinese Field Epidemiology Training Program , Chinese Center for Disease Control and Prevention , Beijing
| | - Shaopei Tang
- Chinese Field Epidemiology Training Program , Chinese Center for Disease Control and Prevention , Beijing
| | - Caiyun Chang
- Chinese Field Epidemiology Training Program , Chinese Center for Disease Control and Prevention , Beijing
| | - Lunhui Xiang
- Chinese Field Epidemiology Training Program , Chinese Center for Disease Control and Prevention , Beijing
| | - Dong Wang
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Shiguang Zhao
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Suizan Zhou
- United States Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Tao Chen
- National Influenza Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Nijuan Xiang
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Carolyn M Greene
- United States Centers for Disease Control and Prevention, Atlanta, Georgia
| | - Yanping Zhang
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Yuelong Shu
- National Influenza Center , Chinese Center for Disease Control and Prevention , Beijing
| | - Zijian Feng
- Chinese Center for Disease Control and Prevention , Beijing , China
| | - Qun Li
- Public Health Emergency Center , Chinese Center for Disease Control and Prevention , Beijing
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120
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Fang S, Bai T, Yang L, Wang X, Peng B, Liu H, Geng Y, Zhang R, Ma H, Zhu W, Wang D, Cheng J, Shu Y. Sustained live poultry market surveillance contributes to early warnings for human infection with avian influenza viruses. Emerg Microbes Infect 2016; 5:e79. [PMID: 27485495 PMCID: PMC5034097 DOI: 10.1038/emi.2016.75] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 04/22/2016] [Accepted: 05/12/2016] [Indexed: 12/27/2022]
Abstract
Sporadic human infections with the highly pathogenic avian influenza (HPAI) A (H5N6) virus have been reported in different provinces in China since April 2014. From June 2015 to January 2016, routine live poultry market (LPM) surveillance was conducted in Shenzhen, Guangdong Province. H5N6 viruses were not detected until November 2015. The H5N6 virus-positive rate increased markedly beginning in December 2015, and viruses were detected in LPMs in all districts of the city. Coincidently, two human cases with histories of poultry exposure developed symptoms and were diagnosed as H5N6-positive in Shenzhen during late December 2015 and early January 2016. Similar viruses were identified in environmental samples collected in the LPMs and the patients. In contrast to previously reported H5N6 viruses, viruses with six internal genes derived from the H9N2 or H7N9 viruses were detected in the present study. The increased H5N6 virus-positive rate in the LPMs and the subsequent human infections demonstrated that sustained LPM surveillance for avian influenza viruses provides an early warning for human infections. Interventions, such as LPM closures, should be immediately implemented to reduce the risk of human infection with the H5N6 virus when the virus is widely detected during LPM surveillance.
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Affiliation(s)
- Shisong Fang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Tian Bai
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Lei Yang
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Xin Wang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Bo Peng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Hui Liu
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Yijie Geng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Renli Zhang
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Hanwu Ma
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Wenfei Zhu
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Dayan Wang
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
| | - Jinquan Cheng
- Major Infectious Disease Control Key Laboratory, Key Reference Laboratory of Pathogen and Biosafety, Shenzhen Center for Disease Control and Prevention, Shenzhen 518055, China
| | - Yuelong Shu
- National Institute for Viral Disease Control and Prevention, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, Key Laboratory for Medical Virology, Chinese Center for Disease Control and Prevention, Beijing 102206, China
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121
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Genetic and antigenic characterization of H5, H6 and H9 avian influenza viruses circulating in live bird markets with intervention in the center part of Vietnam. Vet Microbiol 2016; 192:194-203. [PMID: 27527783 DOI: 10.1016/j.vetmic.2016.07.016] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Revised: 07/19/2016] [Accepted: 07/22/2016] [Indexed: 11/20/2022]
Abstract
A total of 3,045 environmental samples and oropharyngeal and cloacal swabs from apparently healthy poultry have been collected at three live bird markets (LBMs) at which practices were applied to reduce avian influenza (AI) virus transmission (intervention LBMs) and six conventional LBMs (non-intervention LBMs) in Thua Thien Hue province in 2014 to evaluate the efficacy of the intervention LBMs. The 178 AI viruses, including H3 (19 viruses), H4 (2), H5 (8), H6 (30), H9 (114), and H11 (5), were isolated from domestic ducks, muscovy ducks, chickens, and the environment. The prevalence of AI viruses in intervention LBMs (6.1%; 95% CI: 5.0-7.5) was similar to that in non-intervention LBMs (5.6%; 95% CI: 4.5-6.8; χ(2)=0.532; df=1; P=0.53) in the study area. Eight H5N6 highly pathogenic avian influenza (HPAI) viruses were isolated from apparently healthy ducks, muscovy ducks, and an environmental sample in an intervention LBM. The hemagglutinin genes of the H5N6 HPAI viruses belonged to the genetic clade 2.3.4.4, and the antigenicity of the H5N6 HPAI viruses differed from the H5N1 HPAI viruses previously circulating in Vietnam. Phylogenetic and antigenic analyses of the H6 and H9 viruses isolated in both types of LBMs revealed that they were closely related to the viruses isolated from domestic birds in China, Group II of H6 viruses and Y280 lineage of H9 viruses. These results indicate that the interventions currently applied in LBMs are insufficient to control AI. A risk analysis should be conducted to identify the key factors contributing to AI virus prevalence in intervention LBMs.
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Xu M, Cao C, Li Q, Jia P, Zhao J. Ecological Niche Modeling of Risk Factors for H7N9 Human Infection in China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2016; 13:E600. [PMID: 27322296 PMCID: PMC4924057 DOI: 10.3390/ijerph13060600] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/03/2016] [Revised: 06/07/2016] [Accepted: 06/07/2016] [Indexed: 01/27/2023]
Abstract
China was attacked by a serious influenza A (H7N9) virus in 2013. The first human infection case was confirmed in Shanghai City and soon spread across most of eastern China. Using the methods of Geographic Information Systems (GIS) and ecological niche modeling (ENM), this research quantitatively analyzed the relationships between the H7N9 occurrence and the main environmental factors, including meteorological variables, human population density, bird migratory routes, wetland distribution, and live poultry farms, markets, and processing factories. Based on these relationships the probability of the presence of H7N9 was predicted. Results indicated that the distribution of live poultry processing factories, farms, and human population density were the top three most important determinants of the H7N9 human infection. The relative contributions to the model of live poultry processing factories, farms and human population density were 39.9%, 17.7% and 17.7%, respectively, while the maximum temperature of the warmest month and mean relative humidity had nearly no contribution to the model. The paper has developed an ecological niche model (ENM) that predicts the spatial distribution of H7N9 cases in China using environmental variables. The area under the curve (AUC) values of the model were greater than 0.9 (0.992 for the training samples and 0.961 for the test data). The findings indicated that most of the high risk areas were distributed in the Yangtze River Delta. These findings have important significance for the Chinese government to enhance the environmental surveillance at multiple human poultry interfaces in the high risk area.
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Affiliation(s)
- Min Xu
- State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
| | - Chunxiang Cao
- State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China.
| | - Qun Li
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
| | - Peng Jia
- Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, Enschede 7500, The Netherlands.
- Department of Epidemiology and Environmental Health, University at Buffalo, Buffalo, NY 14214, USA.
| | - Jian Zhao
- Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
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123
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Cui H, Shi Y, Ruan T, Li X, Teng Q, Chen H, Yang J, Liu Q, Li Z. Phylogenetic analysis and pathogenicity of H3 subtype avian influenza viruses isolated from live poultry markets in China. Sci Rep 2016; 6:27360. [PMID: 27270298 PMCID: PMC4895239 DOI: 10.1038/srep27360] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2016] [Accepted: 05/12/2016] [Indexed: 12/17/2022] Open
Abstract
H3 subtype influenza A virus is one of the main subtypes that threats both public and animal health. However, the evolution and pathogenicity of H3 avian influenza virus (AIV) circulating in domestic birds in China remain largely unclear. In this study, seven H3 AIVs (four H3N2 and three H3N8) were isolated from poultry in live poultry market (LPM) in China. Phylogenetic analyses of full genomes showed that all viruses were clustered into Eurasian lineage, except N8 genes of two H3N8 isolates fell into North American lineage. Intriguingly, the N8 gene of one H3N8 and PB2, PB1, NP and NS of two H3N2 isolates have close relationship with those of the highly pathogenic H5N8 viruses circulating in Korea and United States, suggesting that the H3-like AIV may contribute internal genes to the highly pathogenic H5N8 viruses. Phylogenetic tree of HA gene and antigenic cross-reactivity results indicated that two antigenically different H3 viruses are circulating in LPM in China. Most of the H3 viruses replicated in mice lung and nasal turbinate without prior adaptation, and the representative H3 viruses infected chickens without causing clinical signs. The reassortment of H3 subtype influenza viruses warrants continuous surveillance in LPM in China.
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MESH Headings
- Animals
- Antibodies, Viral/immunology
- China
- Cluster Analysis
- Cross Reactions
- Disease Models, Animal
- Genetic Variation
- Hemagglutinin Glycoproteins, Influenza Virus/genetics
- Hemagglutinin Glycoproteins, Influenza Virus/immunology
- Influenza A Virus, H3N2 Subtype/classification
- Influenza A Virus, H3N2 Subtype/genetics
- Influenza A Virus, H3N2 Subtype/isolation & purification
- Influenza A Virus, H3N2 Subtype/pathogenicity
- Influenza A Virus, H3N8 Subtype/classification
- Influenza A Virus, H3N8 Subtype/genetics
- Influenza A Virus, H3N8 Subtype/isolation & purification
- Influenza A Virus, H3N8 Subtype/pathogenicity
- Influenza in Birds/virology
- Mice
- Orthomyxoviridae Infections/pathology
- Orthomyxoviridae Infections/virology
- Phylogeny
- Poultry
- RNA, Viral/genetics
- Sequence Analysis, DNA
- Whole Genome Sequencing
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Affiliation(s)
- Hongrui Cui
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Ying Shi
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Tao Ruan
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Xuesong Li
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Qiaoyang Teng
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Hongjun Chen
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Jianmei Yang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Qinfang Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
| | - Zejun Li
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, People’s Republic of China
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124
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Harder T, Stech J, Abdelwhab ESM, Veits J, Conraths FJ, Beer M, Mettenleiter TC. A pallid rainbow: toward improved understanding of avian influenza biology. Future Virol 2016. [DOI: 10.2217/fvl-2016-0040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
Highly pathogenic avian influenza (‘fowl plague’) has been known since the late 19th century as a devastating infection in poultry but of concern primarily to farmers and veterinarians. Mostly sporadic outbreaks occurred and, except for one episode, wild birds were unaffected. This situation changed drastically by the recognition that avian influenza viruses exhibit zoonotic potential leading to fatal infections in mammals including humans. Moreover, highly pathogenic avian influenza gained access to highly mobile, migratory wild bird populations resulting in unprecedented intercontinental spread. The rapid evolution of avian influenza viruses, their adaption to novel hosts and the resulting change in epidemiology are of major concern. Recent advances in understanding influenza virus biology at the interface between wild birds-terrestrial poultry-livestock and humans are highlighted here.
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Affiliation(s)
- Timm Harder
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
| | - Jürgen Stech
- Institute of Molecular Virology & Cell Biology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
| | - El-Sayed M Abdelwhab
- Institute of Molecular Virology & Cell Biology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
| | - Jutta Veits
- Institute of Molecular Virology & Cell Biology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
| | - Franz J Conraths
- Institute of Epidemiology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
| | - Martin Beer
- Institute of Diagnostic Virology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
| | - Thomas C Mettenleiter
- Institute of Molecular Virology & Cell Biology, Friedrich-Loeffler-Institut, Südufer 10, D-17493 Greifswald-Insel Riems, Germany
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125
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Bosco-Lauth AM, Bowen RA, Root JJ. Limited transmission of emergent H7N9 influenza A virus in a simulated live animal market: Do chickens pose the principal transmission threat? Virology 2016; 495:161-6. [PMID: 27236304 DOI: 10.1016/j.virol.2016.04.032] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2016] [Revised: 04/27/2016] [Accepted: 04/28/2016] [Indexed: 11/16/2022]
Abstract
Emergent H7N9 influenza A virus has caused multiple public health and financial hardships. While some epidemiological studies have recognized infected chickens as an important bridge for human infections, the generality of this observation, the minimum infectious dose, and the shedding potential of chickens have received conflicting results. We experimentally tested the ability of domestic chickens (Gallus gallus domesticus) to transmit H7N9 to co-housed chickens and to several other animal species in an experimental live animal market. Results indicated that an infected chicken failed to initiate viral shedding of H7N9 to naïve co-housed chickens. The infected chicken did, however, successfully transmit the virus to quail (Coturnix sp.) located directly below the infected chicken cage. Oral shedding by indirectly infected quail was, on average, greater than ten-fold that of directly inoculated chickens. Best management practices in live animal market systems should consider the position of quail in stacked-cage settings.
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Affiliation(s)
- Angela M Bosco-Lauth
- Department of Biomedical Sciences, Colorado State University, Fort Collins, CO, USA.
| | - Richard A Bowen
- Department of Biomedical Sciences, Colorado State University, Fort Collins, CO, USA
| | - J Jeffrey Root
- United States Department of Agriculture, National Wildlife Research Center, Fort Collins, CO, USA
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126
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Wu Z, Sha J, Yu Z, Zhao N, Cheng W, Chan TC, Amer S, Zhang Z, Liu S. Epidemiological and virological differences in human clustered and sporadic infections with avian influenza A H7N9. Int J Infect Dis 2016; 49:9-17. [PMID: 27235087 DOI: 10.1016/j.ijid.2016.05.022] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2016] [Revised: 05/16/2016] [Accepted: 05/18/2016] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Previous research has suggested that avian influenza A H7N9 has a greater potential pandemic risk than influenza A H5N1. This research investigated the difference in human clustered and sporadic cases of H7N9 virus and estimated the relative risk of clustered infections. METHODS Comparative epidemiology and virology studies were performed among 72 sporadic confirmed cases, 17 family clusters (FCs) caused by human-to-human transmission, and eight live bird market clusters (LCs) caused by co-exposure to the poultry environment. RESULTS The case fatality of FCs, LCs and sporadic cases (36%, 26%, and 29%, respectively) did not differ among the three groups (p>0.05). The average age (36 years, 60 years, and 58 years), co-morbidities (31%, 60%, and 54%), exposure to birds (72%, 100%, and 83%), and H7N9-positive rate (20%, 64%, and 35%) in FCs, LCs, and sporadic cases, respectively, differed significantly (p<0.05). These higher risks were associated with increased mortality. There was no difference between primary and secondary cases in LCs (p>0.05). However, exposure to a person with confirmed avian influenza A H7N9 (primary 12% vs. secondary 95%), history of visiting a live bird market (100% vs. 59%), multiple exposures (live bird exposure and human-to-human transmission history) (12% vs. 55%), and median days from onset to antiviral treatment (6 days vs. 3 days) differed significantly between primary and secondary cases in FCs (p<0.05). Mild cases were found in 6% of primary cases vs. 32% of secondary cases in FCs (p<0.05). Twenty-five isolates from the three groups showed 99.1-99.9% homology and increased human adaptation. CONCLUSIONS There was no statistical difference in the case fatality rate and limited transmission between FCs and LCs. However, the severity of the primary cases in FCs was much higher than that of the secondary cases due to the older age and greater underlying disease of the latter patients.
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Affiliation(s)
- Zuqun Wu
- Department of Respiratory Medicine, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jianping Sha
- Department of Endocrinology, The 421 Hospital of the Chinese People's Liberation Army, Guangzhou, China
| | - Zhao Yu
- Department of Infectious Diseases and Key Lab of Vaccine against Hemorrhagic Fever with Renal Syndrome, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Na Zhao
- National Research Centre for Wildlife-Borne Diseases, Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China
| | - Wei Cheng
- Department of Infectious Diseases and Key Lab of Vaccine against Hemorrhagic Fever with Renal Syndrome, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China
| | - Ta-Chien Chan
- Research Centre for Humanities and Social Sciences, Academia Sinica, Taipei, Taiwan
| | - Said Amer
- Department of Zoology, Faculty of Science, Kafr El Sheikh University, Kafr El Sheikh, Egypt
| | - Zhiruo Zhang
- School of Public Health, Shanghai Jiaotong University School of Medicine, 227 Chongqing South Road, Shanghai 200025, China.
| | - Shelan Liu
- Department of Infectious Diseases and Key Lab of Vaccine against Hemorrhagic Fever with Renal Syndrome, Zhejiang Provincial Centre for Disease Control and Prevention, Hangzhou, Zhejiang Province, China.
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127
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Liao Q, Cowling BJ, Wu P, Leung GM, Fielding R, Lam WWT. Population Behavior Patterns in Response to the Risk of Influenza A(H7N9) in Hong Kong, December 2013-February 2014. Int J Behav Med 2016; 22:672-82. [PMID: 25622816 PMCID: PMC7090479 DOI: 10.1007/s12529-015-9465-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background A novel avian influenza A(H7N9) virus, first identified in Mainland China in February and March 2013, caused an outbreak in humans in April and May, 2013. Closure of live poultry markets in some affected cities dramatically reduced numbers of cases during summer of 2013, but the epidemic resurged during the winter 2013–14, increasing reported cases to 393 in Mainland China as of 30 March 2014. Purpose The study aimed to explore population behavior patterns responding to an epidemic of influenza A(H7N9) virus. Method Three cross-sectional surveys were conducted among 1000, 680, and 1011 respondents in December 2013, January 2014, and February 2014, with response rates of 68.0, 64.4, and 66.6 %, respectively, in Hong Kong. Adults were recruited and interviewed using random digit-dialing telephone survey. Latent class analysis was employed to explore heterogeneity in protective behavior patterns across the three surveys. Multinomial regression models were developed to determine factors associated with latent class membership. Results Three comparable latent classes were identified across the three surveys: Moderate hygiene compliance (Class 1), High hygiene compliance (Class 2), and Vigilance (Class 3). The prevalence of Class 1 was 48–52 % across the three surveys while Class 3 prevalence increased significantly from 13 % in the Dec-2013 survey to 20 % in the Feb-2014 survey. Compared with Class 1, Class 3 were more likely to be female, older, better educated, married, perceive higher susceptibility to H7N9, attribute greater severity to H7N9, report higher current worry, and anticipated worry about H7N9 infection. Conclusion The three classes reflect different levels of adoption of protection and thereby may have different levels of vulnerability toward contracting H7N9 infection. It appears that as the epidemic intensifies, Class 2 (Good hygiene compliance) members are likely to transfer to Class 3 (Vigilance) while Class 1 (Moderate hygiene compliance) could be unchanged. The young, mostly single males and those with lower educational achievement represent a group for whom public health messages need to be targeted.
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Affiliation(s)
- Qiuyan Liao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
| | - Benjamin J Cowling
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China.
| | - Peng Wu
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
| | - Gabriel M Leung
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
| | - Richard Fielding
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
| | - Wendy Wing Tak Lam
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 21 Sassoon Road, Pokfulam, Hong Kong, China
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128
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Xie S, Jia W, Lin Y, Xing K, Ren X, Qi W, Liao M. Third Wave of Influenza A(H7N9) Virus from Poultry, Guangdong Province, China, 2014-2015. Emerg Infect Dis 2016; 21:1657-60. [PMID: 26291620 PMCID: PMC4550157 DOI: 10.3201/eid2109.150635] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Fourteen influenza A(H7N9) viruses were isolated from poultry or the environment in live poultry markets in Guangdong Province, China during 2014−2015. Phylogenetic analysis showed that all viruses were descended from viruses of the second wave of influenza A(H7N9) virus infections during 2013. These viruses can be divided into 2 branches.
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129
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Yuan J, Lau EH, Li K, Leung YC, Yang Z, Xie C, Liu Y, Liu Y, Ma X, Liu J, Li X, Chen K, Luo L, Di B, Cowling BJ, Tang X, Leung GM, Wang M, Peiris M. Effect of Live Poultry Market Closure on Avian Influenza A(H7N9) Virus Activity in Guangzhou, China, 2014. Emerg Infect Dis 2016; 21:1784-93. [PMID: 26402310 PMCID: PMC4593444 DOI: 10.3201/eid2110.150623] [Citation(s) in RCA: 59] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
Temporary closure and disinfection can rapidly reduce levels of infectious virus in these settings. We assessed the effect of closing live poultry markets in China on influenza A(H7N9) virus detection and viability. Intensive sampling was carried out before, during, and after a 2-week citywide market closure; the markets were cleaned and disinfected at the beginning of the closure period. Swab samples were collected at different sites within the markets and tested for H7N9 by real-time reverse transcription PCR and culture. During the closure, H7N9 viral RNA detection and isolation rates in retail markets decreased by 79% (95% CI 64%–88%) and 92% (95% CI 58%–98%), respectively. However, viable H7N9 virus could be cultured from wastewater samples collected up to 2 days after the market closure began. Our findings indicates that poultry workers and the general population are constantly exposed to H7N9 virus at these markets and that market closure and disinfection rapidly reduces the amount of viable virus.
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130
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Mammalian Pathogenesis and Transmission of H7N9 Influenza Viruses from Three Waves, 2013-2015. J Virol 2016; 90:4647-4657. [PMID: 26912620 DOI: 10.1128/jvi.00134-16] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2016] [Accepted: 02/18/2016] [Indexed: 11/20/2022] Open
Abstract
UNLABELLED Three waves of human infection with H7N9 influenza viruses have concluded to date, but only viruses within the first wave (isolated between March and September 2013) have been extensively studied in mammalian models. While second- and third-wave viruses remain closely linked phylogenetically and antigenically, even subtle molecular changes can impart critical shifts in mammalian virulence. To determine if H7N9 viruses isolated from humans during 2013 to 2015 have maintained the phenotype first identified among 2013 isolates, we assessed the ability of first-, second-, and third-wave H7N9 viruses isolated from humans to cause disease in mice and ferrets and to transmit among ferrets. Similar to first-wave viruses, H7N9 viruses from 2013 to 2015 were highly infectious in mice, with lethality comparable to that of the well-studied A/Anhui/1/2013 virus. Second- and third-wave viruses caused moderate disease in ferrets, transmitted efficiently to cohoused, naive contact animals, and demonstrated limited transmissibility by respiratory droplets. All H7N9 viruses replicated efficiently in human bronchial epithelial cells, with subtle changes in pH fusion threshold identified between H7N9 viruses examined. Our results indicate that despite increased genetic diversity and geographical distribution since their initial detection in 2013, H7N9 viruses have maintained a pathogenic phenotype in mammals and continue to represent an immediate threat to public health. IMPORTANCE H7N9 influenza viruses, first isolated in 2013, continue to cause human infection and represent an ongoing public health threat. Now entering the fourth wave of human infection, H7N9 viruses continue to exhibit genetic diversity in avian hosts, necessitating continuous efforts to monitor their pandemic potential. However, viruses isolated post-2013 have not been extensively studied, limiting our understanding of potential changes in virus-host adaptation. In order to ensure that current research with first-wave H7N9 viruses still pertains to more recently isolated strains, we compared the relative virulence and transmissibility of H7N9 viruses isolated during the second and third waves, through 2015, in the mouse and ferret models. Our finding that second- and third-wave viruses generally exhibit disease in mammals comparable to that of first-wave viruses strengthens our ability to extrapolate research from the 2013 viruses to current public health efforts. These data further contribute to our understanding of molecular determinants of pathogenicity, transmissibility, and tropism.
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131
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Dynamic quantification of avian influenza H7N9(A) virus in a human infection during clinical treatment using droplet digital PCR. J Virol Methods 2016; 234:22-7. [PMID: 27058642 DOI: 10.1016/j.jviromet.2016.04.001] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Revised: 03/25/2016] [Accepted: 04/01/2016] [Indexed: 11/23/2022]
Abstract
This study involved a human infection with avian influenza H7N9(A) virus in Zhejiang province, the first one after implementing the closure measures of living poultry markets in China. The clinical symptoms, epidemiological and virological characteristics of the case were described briefly, and as the emphasis, H7N9 virus was detected quantitatively and continuously from the collected samples in 10 different periods of the patient's treatment in order to reveal changes of viral load in patient's body during the treatment. This study first used reverse-transcription droplet digital PCR (RT-ddPCR) assays to monitor viral load dynamically for human H7N9 infection, synchronously performing real-time RT-PCR as a reference technology to obtain more comprehensive data for comparison. Our results indicated that RT-ddPCR compared to real-time RT-PCR is more sensitive and accurate for quantifying H7N9 viral load without the use of standard curves. Furthermore it can provide reference data for clinical policies including infectivity judgement, ward transferring and therapy adjustment for the patient during treatment.
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132
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Wang L, Cowling BJ, Wu P, Yu J, Li F, Zeng L, Wu JT, Li Z, Leung GM, Yu H. Human exposure to live poultry and psychological and behavioral responses to influenza A(H7N9), China. Emerg Infect Dis 2016; 20:1296-305. [PMID: 25076186 PMCID: PMC4111172 DOI: 10.3201/eid2008.131821] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022] Open
Abstract
Exposure was common in urban and rural areas and remains a potential risk factor for human infection. To investigate human exposure to live poultry and changes in risk perception and behavior after the April 2013 influenza A(H7N9) outbreak in China, we surveyed 2,504 urban residents in 5 cities and 1,227 rural residents in 4 provinces and found that perceived risk for influenza A(H7N9) was low. The highest rate of exposure to live poultry was reported in Guangzhou, where 47% of those surveyed reported visiting a live poultry market >1 times in the previous year. Most (77%) urban respondents reported that they visited live markets less often after influenza A(H7N9) cases were first identified in China in March 2013, but only 30% supported permanent closure of the markets to control the epidemic. In rural areas, 48% of respondents reported that they raised backyard poultry. Exposure to live commercial and private poultry is common in urban and rural China and remains a potential risk factor for human infection with novel influenza viruses.
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133
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Lu J, Liu W, Xia R, Dai Q, Bao C, Tang F, Zhu Y, Wang Q. Effects of closing and reopening live poultry markets on the epidemic of human infection with avian influenza A virus. J Biomed Res 2016; 30:112-119. [PMID: 28276666 PMCID: PMC4820888 DOI: 10.7555/jbr.30.20150054] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2015] [Revised: 07/03/2015] [Accepted: 10/26/2015] [Indexed: 11/03/2022] Open
Abstract
Live poultry markets (LPMs) are crucial places for human infection of influenza A (H7N9 virus). In Yangtze River Delta, LPMs were closed after the outbreak of human infection with avian influenza A (H7N9) virus, and then reopened when no case was found. Our purpose was to quantify the effect of LPMs' operations in this region on the transmission of influenza A (H7N9) virus. We obtained information about dates of symptom onset and locations for all human influenza A (H7N9) cases reported from Shanghai, Jiangsu and Zhejiang provinces by May 31, 2014, and acquired dates of closures and reopening of LPMs from official media. A two-phase Bayesian model was fitted by Markov Chain Monte Carlo methods to process the spatial and temporal influence of human cases. A total of 235 cases of influenza A (H7N9) were confirmed in Shanghai, Jiangsu and Zhejiang by May 31, 2014. Using these data, our analysis showed that, after LPM closures, the influenza A (H7N9) outbreak disappeared within two weeks in Shanghai, one week in Jiangsu, and one week in Zhejiang, respectively. Local authorities reopened LPMs when there was no outbreak of influenza A (H7N9), which did not lead to reemergence of human influenza A (H7N9). LPM closures were effective in controlling the H7N9 outbreak. Reopening of LPM in summer did not increase the risk of human infection with H7N9. Our findings showed that LPMs should be closed immediately in areas where the H7N9 virus is confirmed in LPM. When there is no outbreak of H7N9 virus, LPMs can be reopened to satisfy the Chinese traditional culture of buying live poultry. In the long term, local authorities should take a cautious attitude in permanent LPM closure.
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Affiliation(s)
- Jian Lu
- School of Information Science and Engineering, Southeast University, Nanjing, Jiangsu 211111, China
| | - Wendong Liu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Rui Xia
- School of Information Science and Engineering, Southeast University, Nanjing, Jiangsu 211111, China
| | - Qigang Dai
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Changjun Bao
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Fenyang Tang
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
| | - Yefei Zhu
- Department of Acute Infectious Disease Control and Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, Jiangsu 210009, China
- Center of Laboratory Medicine, The Second Affiliated Hospital of Nanjing Medical University, Nanjing, Jiangsu 210011, China;
| | - Qiao Wang
- School of Information Science and Engineering, Southeast University, Nanjing, Jiangsu 211111, China;
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134
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Zhu H, Lam TTY, Smith DK, Guan Y. Emergence and development of H7N9 influenza viruses in China. Curr Opin Virol 2016; 16:106-113. [PMID: 26922715 DOI: 10.1016/j.coviro.2016.01.020] [Citation(s) in RCA: 43] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2015] [Accepted: 01/27/2016] [Indexed: 02/05/2023]
Abstract
The occurrence of human infections with avian H7N9 viruses since 2013 demonstrates the continuing pandemic threat posed by the current influenza ecosystem in China. Influenza surveillance and phylogenetic analyses showed that these viruses were generated by multiple interspecies transmissions and reassortments among the viruses resident in domestic ducks and the H9N2 viruses enzootic in chickens. A large population of domestic ducks hosting diverse influenza viruses provided the precondition for these events to occur, while acquiring internal genes from enzootic H9N2 influenza viruses in chickens promoted the spread of these viruses. Human infections effectively act as sentinels, reflecting the intensity of the activity of these viruses in poultry.
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Affiliation(s)
- Huachen Zhu
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou 515041, China; State Key Laboratory of Emerging Infectious Diseases (HKU-Shenzhen Branch), Shenzhen Third People's Hospital, Shenzhen 518112, China; Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China.
| | - Tommy Tsan-Yuk Lam
- Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - David Keith Smith
- Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China
| | - Yi Guan
- Joint Influenza Research Centre (SUMC/HKU), Shantou University Medical College, Shantou 515041, China; State Key Laboratory of Emerging Infectious Diseases (HKU-Shenzhen Branch), Shenzhen Third People's Hospital, Shenzhen 518112, China; Centre of Influenza Research, School of Public Health, The University of Hong Kong, Hong Kong, China
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135
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Peiris JSM, Cowling BJ, Wu JT, Feng L, Guan Y, Yu H, Leung GM. Interventions to reduce zoonotic and pandemic risks from avian influenza in Asia. THE LANCET. INFECTIOUS DISEASES 2016; 16:252-8. [PMID: 26654122 PMCID: PMC5479702 DOI: 10.1016/s1473-3099(15)00502-2] [Citation(s) in RCA: 67] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2015] [Revised: 04/15/2015] [Accepted: 04/23/2015] [Indexed: 01/29/2023]
Abstract
Novel influenza viruses continue to emerge, posing zoonotic and potentially pandemic threats, such as with avian influenza A H7N9. Although closure of live poultry markets (LPMs) in mainland China stopped H7N9 outbreaks temporarily, closures are difficult to sustain, in view of poultry production and marketing systems in China. In this Personal View, we summarise interventions taken in mainland China, and provide evidence for other more sustainable but effective interventions in the live poultry market systems that reduce risk of zoonotic influenza including rest days, and banning live poultry in markets overnight. Separation of live ducks and geese from land-based (ie, non-aquatic) poultry in LPM systems can reduce the risk of emergence of zoonotic and epizootic viruses at source. In view of evidence that H7N9 is now endemic in over half of the provinces in mainland China and will continue to cause recurrent zoonotic disease in the winter months, such interventions should receive high priority in China and other Asian countries at risk of H7N9 through cross-border poultry movements. Such generic measures are likely to reduce known and future threats of zoonotic influenza.
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Affiliation(s)
- J S Malik Peiris
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China.
| | - Benjamin J Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Joseph T Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Luzhao Feng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Yi Guan
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China.
| | - Gabriel M Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, The University of Hong Kong, Hong Kong Special Administrative Region, China
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136
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Chen J, Cui G, Lu C, Ding Y, Gao H, Zhu Y, Wei Y, Wang L, Uede T, Li L, Diao H. Severe Infection With Avian Influenza A Virus is Associated With Delayed Immune Recovery in Survivors. Medicine (Baltimore) 2016; 95:e2606. [PMID: 26844470 PMCID: PMC4748887 DOI: 10.1097/md.0000000000002606] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
Human infection with avian influenza A virus (H7N9) is a concern because of the mortality rate. Previously, we characterized immunological responses during active infection with it and reported evidence of impaired antigen-presenting capability, particularly in severely affected individuals. Here we describe an investigation of immunological responses during a 1-year follow-up of survivors of H7N9 infection. Survivors of H7N9 infection were classified as having had mild (n = 42) or severe infection (n = 26). Their immune status, including human leukocyte antigen-DR expression on monocytes, and their ability to mount cytokine responses were assessed at 1, 3, and 12 months postinfection.The total lymphocyte count and the percentages of different types of lymphocytes had normalized by 1 month postinfection. However, there was evidence of ongoing impairment of immune responses in those who had had severe infection. This included reduced human leukocyte antigen-DR expression on CD14 monocytes, reduced interferon-γ production by T cells, and higher plasma levels of the matrix metalloproteinases 2, 3, and 9. By 3 months postinfection, these had all normalized.After severe H7N9 infection, recovery of the antigen-presenting capability of monocytes and T-cell responses are delayed. This may lead to an increased vulnerability to secondary bacterial infections.
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Affiliation(s)
- Jianing Chen
- From the State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China (JC, GC, CL, YD, HG, YZ, YW, LW, LL, HD); and Molecular Immunology, Institute for Genetic Medicine, Hokkaido University, Sapporo, Japan (TU)
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137
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Kucharski AJ, Mills HL, Donnelly CA, Riley S. Transmission Potential of Influenza A(H7N9) Virus, China, 2013-2014. Emerg Infect Dis 2016; 21:852-5. [PMID: 25897624 PMCID: PMC4412215 DOI: 10.3201/eid2105.141137] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/02/2022] Open
Abstract
To determine transmission potential of influenza A(H7N9) virus, we used symptom onset data to compare 2 waves of infection in China during 2013–2014. We found evidence of increased transmission potential in the second wave and showed that live bird market closure was significantly less effective in Guangdong than in other regions.
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138
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Millman AJ, Havers F, Iuliano AD, Davis CT, Sar B, Sovann L, Chin S, Corwin AL, Vongphrachanh P, Douangngeun B, Lindblade KA, Chittaganpitch M, Kaewthong V, Kile JC, Nguyen HT, Pham DV, Donis RO, Widdowson MA. Detecting Spread of Avian Influenza A(H7N9) Virus Beyond China. Emerg Infect Dis 2016; 21:741-9. [PMID: 25897654 PMCID: PMC4412232 DOI: 10.3201/eid2105.141756] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
This virus is unlikely to have spread substantially among humans in Vietnam, Thailand, Cambodia, and Laos. During February 2013–March 2015, a total of 602 human cases of low pathogenic avian influenza A(H7N9) were reported; no autochthonous cases were reported outside mainland China. In contrast, since highly pathogenic avian influenza A(H5N1) reemerged during 2003 in China, 784 human cases in 16 countries and poultry outbreaks in 53 countries have been reported. Whether the absence of reported A(H7N9) outside mainland China represents lack of spread or lack of detection remains unclear. We compared epidemiologic and virologic features of A(H5N1) and A(H7N9) and used human and animal influenza surveillance data collected during April 2013–May 2014 from 4 Southeast Asia countries to assess the likelihood that A(H7N9) would have gone undetected during 2014. Surveillance in Vietnam and Cambodia detected human A(H5N1) cases; no A(H7N9) cases were detected in humans or poultry in Southeast Asia. Although we cannot rule out the possible spread of A(H7N9), substantial spread causing severe disease in humans is unlikely.
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139
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Harder TC, Buda S, Hengel H, Beer M, Mettenleiter TC. Poultry food products--a source of avian influenza virus transmission to humans? Clin Microbiol Infect 2015; 22:141-146. [PMID: 26686812 DOI: 10.1016/j.cmi.2015.11.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2015] [Revised: 11/29/2015] [Accepted: 11/29/2015] [Indexed: 11/19/2022]
Abstract
Global human mobility and intercontinental connectivity, expansion of livestock production and encroachment of wildlife habitats by invasive agricultural land use contribute to shape the complexity of influenza epidemiology. The OneHealth approach integrates these and further elements into considerations to improve disease control and prevention. Food of animal origin for human consumption is another integral aspect; if produced from infected livestock such items may act as vehicles of spread of animal pathogens, and, in case of zoonotic agents, as a potential human health hazard. Notifiable zoonotic avian influenza viruses (AIV) have become entrenched in poultry populations in several Asian and northern African countries since 2003. Highly pathogenic (HP) AIV (e.g. H5N1) cause extensive poultry mortality and severe economic losses. HPAIV and low pathogenic AIV (e.g. H7N9) with zoonotic propensities pose risks for human health. More than 1500 human cases of AIV infection have been reported, mainly from regions with endemically infected poultry. Intense human exposure to AIV-infected poultry, e.g. during rearing, slaughtering or processing of poultry, is a major risk factor for acquiring AIV infection. In contrast, human infections through consumption of AIV-contaminated food have not been substantiated. Heating poultry products according to kitchen standards (core temperatures ≥70°C, ≥10 s) rapidly inactivates AIV infectivity and renders fully cooked products safe. Nevertheless, concerted efforts must ensure that poultry products potentially contaminated with zoonotic AIV do not reach the food chain. Stringent and sustained OneHealth measures are required to better control and eventually eradicate, HPAIV from endemic regions.
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Affiliation(s)
- T C Harder
- The Federal Research Institute for Animal Health, Friedrich-Loeffler-Institut, Greifswald Insel-Riems, Germany.
| | - S Buda
- Robert-Koch-Institut, Berlin, Germany
| | - H Hengel
- Institute of Virology, Department of Medical Microbiology and Hygiene, University Medical Centre, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - M Beer
- The Federal Research Institute for Animal Health, Friedrich-Loeffler-Institut, Greifswald Insel-Riems, Germany
| | - T C Mettenleiter
- The Federal Research Institute for Animal Health, Friedrich-Loeffler-Institut, Greifswald Insel-Riems, Germany
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140
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Interpreting the transmissibility of the avian influenza A(H7N9) infection from 2013 to 2015 in Zhejiang Province, China. Epidemiol Infect 2015; 144:1584-91. [PMID: 26645357 PMCID: PMC4855998 DOI: 10.1017/s0950268815002812] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
Three epidemic waves of human influenza A(H7N9) were documented in several different provinces in China between 2013 and 2015. With limited understanding of the potential for human-to-human transmission, it was difficult to implement control measures efficiently or to inform the public adequately about the application of interventions. In this study, the human-to-human transmission rate for the epidemics that occurred between 2013 and 2015 in Zhejiang Province, China, was analysed. The reproduction number (R), a key indicator of transmission intensity, was estimated by fitting the number of infections from poultry to humans and from humans to humans into a mathematical model. The posterior mean R for human-to-human transmission was estimated to be 0·27, with a 95% credible interval of 0·14–0·44 for the first wave, whereas the posterior mean Rs decreased to 0·15 in the second and third waves. Overall, these estimates indicate that a human H7N9 pandemic is unlikely to occur in Zhejiang. The reductions in the viral transmissibility and the number of poultry-transmitted infections after the first epidemic may be attributable to the various intervention measures taken, including changes in the extent of closures of live poultry markets.
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141
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Abstract
Transmission via shared water implicates passerine birds as possible vectors for dissemination of this virus. Low pathogenicity avian influenza A(H7N9) virus has been detected in poultry since 2013, and the virus has caused >450 infections in humans. The mode of subtype H7N9 virus transmission between avian species remains largely unknown, but various wild birds have been implicated as a source of transmission. H7N9 virus was recently detected in a wild sparrow in Shanghai, China, and passerine birds, such as finches, which share space and resources with wild migratory birds, poultry, and humans, can be productively infected with the virus. We demonstrate that interspecies transmission of H7N9 virus occurs readily between society finches and bobwhite quail but only sporadically between finches and chickens. Inoculated finches are better able to infect naive poultry than the reverse. Transmission occurs through shared water but not through the airborne route. It is therefore conceivable that passerine birds may serve as vectors for dissemination of H7N9 virus to domestic poultry.
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142
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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: 1.1] [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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143
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Live Bird Exposure among the General Public, Guangzhou, China, May 2013. PLoS One 2015; 10:e0143582. [PMID: 26623646 PMCID: PMC4666652 DOI: 10.1371/journal.pone.0143582] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2015] [Accepted: 11/07/2015] [Indexed: 11/29/2022] Open
Abstract
Background A novel avian-origin influenza A(H7N9) caused a major outbreak in Mainland China in early 2013. Exposure to live poultry was believed to be the major route of infection. There are limited data on how the general public changes their practices regarding live poultry exposure in response to the early outbreak of this novel influenza and the frequency of population exposure to live poultry in different areas of China. Methodology This study investigated population exposures to live birds from various sources during the outbreak of H7N9 in Guangzhou city, China in 2013 and compared them with those observed during the 2006 influenza A(H5N1) outbreak. Adults were telephone-interviewed using two-stage sampling, stratified by three residential areas of Guangzhou: urban areas and two semi-rural areas in one of which (Zengcheng) A(H7N9) virus was detected in a chicken from wet markets. Logistic regression models were built to describe practices protecting against avian influenza, weighted by age and gender, and then compare these practices across residential areas in 2013 with those from a comparable 2006 survey. Principal Findings Of 1196 respondents, 45% visited wet markets at least daily and 22.0% reported buying live birds from wet markets at least weekly in April-May, 2013, after the H7N9 epidemic was officially declared in late March 2013. Of those buying live birds, 32.3% reported touching birds when buying and 13.7% would slaughter the poultry at home. Although only 10.1% of the respondents reported raising backyard birds, 92.1% of those who did so had physical contact with the birds they raised. Zengcheng respondents were less likely to report buying live birds from wet markets, but more likely to buy from other sources when compared to urban respondents. Compared with the 2006 survey, the prevalence of buying live birds from wet markets, touching when buying and slaughtering birds at home had substantially declined in the 2013 survey. Conclusion/Significance Although population exposures to live poultry were substantially fewer in 2013 compared to 2006, wet markets and backyard poultry remained the two major sources of live bird exposures for the public in Guangzhou in 2013. Zengcheng residents seemed to have reduced buying live birds from wet markets but not from other sources in response to the detection of H7N9 virus in wet markets.
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144
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Short KR, Richard M, Verhagen JH, van Riel D, Schrauwen EJA, van den Brand JMA, Mänz B, Bodewes R, Herfst S. One health, multiple challenges: The inter-species transmission of influenza A virus. One Health 2015; 1:1-13. [PMID: 26309905 PMCID: PMC4542011 DOI: 10.1016/j.onehlt.2015.03.001] [Citation(s) in RCA: 112] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
Influenza A viruses are amongst the most challenging viruses that threaten both human and animal health. Influenza A viruses are unique in many ways. Firstly, they are unique in the diversity of host species that they infect. This includes waterfowl (the original reservoir), terrestrial and aquatic poultry, swine, humans, horses, dog, cats, whales, seals and several other mammalian species. Secondly, they are unique in their capacity to evolve and adapt, following crossing the species barrier, in order to replicate and spread to other individuals within the new species. Finally, they are unique in the frequency of inter-species transmission events that occur. Indeed, the consequences of novel influenza virus strain in an immunologically naïve population can be devastating. The problems that influenza A viruses present for human and animal health are numerous. For example, influenza A viruses in humans represent a major economic and disease burden, whilst the poultry industry has suffered colossal damage due to repeated outbreaks of highly pathogenic avian influenza viruses. This review aims to provide a comprehensive overview of influenza A viruses by shedding light on interspecies virus transmission and summarising the current knowledge regarding how influenza viruses can adapt to a new host.
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Affiliation(s)
- Kirsty R Short
- Department of Viroscience, Erasmus Medical Centre, the Netherlands ; School of Biomedical Sciences, University of Queensland, Brisbane, Australia
| | - Mathilde Richard
- Department of Viroscience, Erasmus Medical Centre, the Netherlands
| | | | - Debby van Riel
- Department of Viroscience, Erasmus Medical Centre, the Netherlands
| | | | | | - Benjamin Mänz
- Department of Viroscience, Erasmus Medical Centre, the Netherlands
| | - Rogier Bodewes
- Department of Viroscience, Erasmus Medical Centre, the Netherlands
| | - Sander Herfst
- Department of Viroscience, Erasmus Medical Centre, the Netherlands
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145
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Liu Z, Fang CT. A modeling study of human infections with avian influenza A H7N9 virus in mainland China. Int J Infect Dis 2015; 41:73-8. [PMID: 26585941 DOI: 10.1016/j.ijid.2015.11.003] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2015] [Revised: 11/02/2015] [Accepted: 11/06/2015] [Indexed: 11/24/2022] Open
Abstract
OBJECTIVES Since February 2013, more than 400 laboratory-confirmed human cases of avian influenza A H7N9 infection have been reported in mainland China. Little is known of the dynamics of this novel virus in poultry and human populations, which is essential for developing effective long-term control strategies for this zoonosis. The aim of this study was to evaluate the impact of screening and culling of infected poultry on the evolution of the H7N9 epidemic. METHODS A mathematical model for transmission dynamics of avian influenza A H7N9 virus in human and poultry populations was constructed. Parameters in the model were estimated using publicly available nationwide surveillance data on animal and human infections. RESULTS By fitting a two-host model, it was shown that screening for H7N9 in poultry and culling could effectively decrease the number of new human H7N9 cases. Furthermore, the elimination of circulating H7N9 virus is possible if an intensive, but technically feasible, poultry screening and culling policy is adopted. CONCLUSIONS Screening and culling infected poultry is a critical measure for preventing human H7N9 infections in the long term. This model may provide important insights for decision-making on a national intervention strategy for the long-term control of the H7N9 virus epidemic.
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Affiliation(s)
- Zhifei Liu
- School of Public Health, Lanzhou University, Lanzhou, mainland China
| | - Chi-Tai Fang
- Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, 17 Xu-Zhou Road, Taipei 100, Taiwan; Division of Infectious Diseases, Department of Internal Medicine, National Taiwan University Hospital, Taipei, Taiwan.
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146
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Huang Y, Zhang H, Li X, Hu S, Cai L, Sun Q, Li W, Deng Z, Xiang X, Zhang H, Li F, Gao L. Detection and Genetic Characteristics of H9N2 Avian Influenza Viruses from Live Poultry Markets in Hunan Province, China. PLoS One 2015; 10:e0142584. [PMID: 26554921 PMCID: PMC4640513 DOI: 10.1371/journal.pone.0142584] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2015] [Accepted: 10/24/2015] [Indexed: 12/26/2022] Open
Abstract
H9N2 avian influenza viruses (AIVs) are highly prevalent and of low pathogenicity in domestic poultry. These viruses show a high genetic compatibility with other subtypes of AIVs and have been involved in the genesis of H5N1, H7N9 and H10N8 viruses causing severe infection in humans. The first case of human infection with H9N2 viruses in Hunan province of China have been confirmed in November 2013 and identified that H9N2 viruses from live poultry markets (LPMs) near the patient’s house could be the source of infection. However, the prevalence, distribution and genetic characteristics of H9N2 viruses in LPMs all over the province are not clear. We collected and tested 3943 environmental samples from 380 LPMs covering all 122 counties/districts of Hunan province from February to April, 2014. A total of 618 (15.7%) samples were H9 subtype positive and 200 (52.6%) markets in 98 (80.3%) counties/districts were contaminated with H9 subtype AIVs. We sequenced the entire coding sequences of the genomes of eleven H9N2 isolates from environmental samples. Phylogenetic analysis showed that the gene sequences of the H9N2 AIVs exhibited high homology (94.3%-100%). All eleven viruses were in a same branch in the phylogenetic trees and belonged to a same genotype. No gene reassortment had been found. Molecular analysis demonstrated that all the viruses had typical molecular characteristics of contemporary avian H9N2 influenza viruses. Continued surveillance of AIVs in LPMs is warranted for identification of further viral evolution and novel reassortants with pandemic potential.
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Affiliation(s)
- Yiwei Huang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Hong Zhang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Xiaodan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, People’s Republic of China
| | - Shixiong Hu
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Liang Cai
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Qianlai Sun
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Wenchao Li
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Zhihong Deng
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Xingyu Xiang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Hengjiao Zhang
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Fangcai Li
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
| | - Lidong Gao
- Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, People’s Republic of China
- * E-mail:
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147
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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: 2.7] [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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148
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Zhou P, Ma J, Lai A, Gray GC, Su S, Li S. Avian influenza A(H7N9) virus and mixed live poultry-animal markets in Guangdong province: a perfect storm in the making? Emerg Microbes Infect 2015; 4:e63. [PMID: 26576340 PMCID: PMC4631930 DOI: 10.1038/emi.2015.63] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2015] [Revised: 08/02/2015] [Accepted: 08/23/2015] [Indexed: 01/23/2023]
Affiliation(s)
- Pei Zhou
- College of Veterinary Medicine, South China Agricultural University , Guangzhou 510642, Guangdong Province, China ; Key Laboratory of Zoonosis Prevention and Control of Guangdong , Guangzhou 510642, Guangdong Province, China
| | - Jun Ma
- College of Veterinary Medicine, South China Agricultural University , Guangzhou 510642, Guangdong Province, China ; Key Laboratory of Zoonosis Prevention and Control of Guangdong , Guangzhou 510642, Guangdong Province, China
| | - Alexander Lai
- College of Arts and Sciences, Kentucky State University , Frankfort, KY 40601, USA
| | - Gregory C Gray
- Division of Infectious Diseases, Global Health Institute, Nicholas School of the Environment, Duke University , Durham, NC 27710 USA
| | - Shuo Su
- College of Veterinary Medicine, South China Agricultural University , Guangzhou 510642, Guangdong Province, China
| | - Shoujun Li
- College of Veterinary Medicine, South China Agricultural University , Guangzhou 510642, Guangdong Province, China ; Key Laboratory of Zoonosis Prevention and Control of Guangdong , Guangzhou 510642, Guangdong Province, China
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149
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Rapid Detection of Subtype H10N8 Influenza Virus by One-Step Reverse Transcription-Loop-Mediated Isothermal Amplification Methods. J Clin Microbiol 2015; 53:3884-7. [PMID: 26378283 DOI: 10.1128/jcm.02165-15] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2015] [Accepted: 09/14/2015] [Indexed: 11/20/2022] Open
Abstract
We developed hemagglutinin- and neuraminidase-specific one-step reverse transcription-loop-mediated isothermal amplification assays for detecting the H10N8 virus. The detection limit of the assays was 10 copies of H10N8 virus, and the assays did not amplify nonspecific RNA. The assays can detect H10N8 virus from chicken samples with high sensitivity and specificity, and they can serve as an effective tool for detecting and monitoring H10N8 virus in live poultry markets.
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150
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Wu P, Wang L, Cowling BJ, Yu J, Fang VJ, Li F, Zeng L, Wu JT, Li Z, Leung GM, Yu H. Live Poultry Exposure and Public Response to Influenza A(H7N9) in Urban and Rural China during Two Epidemic Waves in 2013-2014. PLoS One 2015; 10:e0137831. [PMID: 26367002 PMCID: PMC4569561 DOI: 10.1371/journal.pone.0137831] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2014] [Accepted: 08/24/2015] [Indexed: 12/12/2022] Open
Abstract
Background The novel influenza A(H7N9) virus has caused 2013 spring and 2013–2014 winter waves of human infections since its first emergence in China in March 2013. Exposure to live poultry is a risk factor for H7N9 infection. Public psychobehavioral responses often change during progression of an epidemic. Methods We conducted population-based surveys in southern China to examine human exposure to live poultry, and population psychological response and behavioral changes in the two waves. In Guangzhou, an urban area of Guangdong province, we collected data using telephone surveys with random digit dialing in May-June 2013 and again in December 2013 to January 2014. In Zijin county, a rural area of the same province, we used door-to-door surveys under a stratified sampling design in July 2013 and again in December 2013 to January 2014. All responses were weighted by age and sex to the respective adult populations. Findings Around half of the urban respondents (53.8%) reported having visited LPMs in the previous year in the first survey, around double that reported in the second survey (27.7%). In the rural surveys, around half of the participants reported raising backyard poultry in the past year in the first survey, increasing to 83.2% participants in the second survey. One third of urban subjects supported the permanent closure of LPMs in the first and second surveys, and factors associated with support for closure included female sex, higher level of worry towards H7N9, and worry induced by a hypothetical influenza-like illness. Conclusions Our study indicated high human exposure to live poultry and low support for permanent closure of markets in both urban and rural residents regardless of increased worry during the epidemic.
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Affiliation(s)
- Peng Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Liping Wang
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Benjamin J. Cowling
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Jianxing Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Vicky J. Fang
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Fu Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lingjia Zeng
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Joseph T. Wu
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Zhongjie Li
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Gabriel M. Leung
- WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China
| | - Hongjie Yu
- Division of Infectious Disease, Key Laboratory of Surveillance and Early-warning on Infectious Disease, Chinese Center for Disease Control and Prevention, Beijing, China
- * E-mail:
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