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Chen Y, Cheng J, Xu Z, Hu W, Lu J. Live poultry market closure and avian influenza A (H7N9) infection in cities of China, 2013-2017: an ecological study. BMC Infect Dis 2020; 20:369. [PMID: 32448137 PMCID: PMC7245998 DOI: 10.1186/s12879-020-05091-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 05/13/2020] [Indexed: 01/24/2023] Open
Abstract
Background Previous studies have proven that the closure of live poultry markets (LPMs) was an effective intervention to reduce human risk of avian influenza A (H7N9) infection, but evidence is limited on the impact of scale and duration of LPMs closure on the transmission of H7N9. Method Five cities (i.e., Shanghai, Suzhou, Shenzhen, Guangzhou and Hangzhou) with the largest number of H7N9 cases in mainland China from 2013 to 2017 were selected in this study. Data on laboratory-confirmed H7N9 human cases in those five cities were obtained from the Chinese National Influenza Centre. The detailed information of LPMs closure (i.e., area and duration) was obtained from the Ministry of Agriculture. We used a generalized linear model with a Poisson link to estimate the effect of LPMs closure, reported as relative risk reduction (RRR). We used classification and regression trees (CARTs) model to select and quantify the dominant factor of H7N9 infection. Results All five cities implemented the LPMs closure, and the risk of H7N9 infection decreased significantly after LPMs closure with RRR ranging from 0.80 to 0.93. Respectively, a long-term LPMs closure for 10–13 weeks elicited a sustained and highly significant risk reduction of H7N9 infection (RRR = 0.98). Short-time LPMs closure with 2 weeks in every epidemic did not reduce the risk of H7N9 infection (p > 0.05). Partially closed LPMs in some suburbs contributed only 35% for reduction rate (RRR = 0.35). Shenzhen implemented partial closure for first 3 epidemics (p > 0.05) and all closure in the latest 2 epidemic waves (RRR = 0.64). Conclusion Our findings suggest that LPMs all closure in whole city can be a highly effective measure comparing with partial closure (i.e. only urban closure, suburb and rural remain open). Extend the duration of closure and consider permanently closing the LPMs will help improve the control effect. The effect of LPMs closure seems greater than that of meteorology on H7N9 transmission.
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Affiliation(s)
- Ying Chen
- School of Public Health, Key Laboratory of Tropical Diseases Control of Ministry of Education, One Health Center of Excellence for Research &Training, Sun Yat-sen University, Guangzhou, China.,School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Jian Cheng
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Zhiwei Xu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Wenbiao Hu
- School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Australia
| | - Jiahai Lu
- School of Public Health, Key Laboratory of Tropical Diseases Control of Ministry of Education, One Health Center of Excellence for Research &Training, Sun Yat-sen University, Guangzhou, China.
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H7N9 influenza split vaccine with SWE oil-in-water adjuvant greatly enhances cross-reactive humoral immunity and protection against severe pneumonia in ferrets. NPJ Vaccines 2020; 5:38. [PMID: 32411401 PMCID: PMC7214439 DOI: 10.1038/s41541-020-0187-4] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 04/21/2020] [Indexed: 12/24/2022] Open
Abstract
Until universal influenza vaccines become available, pandemic preparedness should include developing classical vaccines against potential pandemic influenza subtypes. We here show that addition of SWE adjuvant, a squalene-in-water emulsion, to H7N9 split influenza vaccine clearly enhanced functional antibody responses in ferrets. These were cross-reactive against H7N9 strains from different lineages and newly emerged H7N9 variants. Both vaccine formulations protected in almost all cases against severe pneumonia induced by intratracheal infection of ferrets with H7N9 influenza; however, the SWE adjuvant enhanced protection against virus replication and disease. Correlation analysis and curve fitting showed that both VN- and NI-titers were better predictors for protection than HI-titers. Moreover, we show that novel algorithms can assist in better interpretation of large data sets generated in preclinical studies. Cluster analysis showed that the adjuvanted vaccine results in robust immunity and protection, whereas the response to the non-adjuvanted vaccine is heterogeneous, such that the protection balance may be more easily tipped toward severe disease. Finally, cluster analysis indicated that the dose-sparing capacity of the adjuvant is at least a factor six, which greatly increases vaccine availability in a pandemic situation.
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Shi N, Huang J, Zhang X, Bao C, Yue N, Wang Q, Cui T, Zheng M, Huo X, Jin H. Interventions in Live Poultry Markets for the Control of Avian Influenza: A Systematic Review and Meta-analysis. J Infect Dis 2020; 221:553-560. [PMID: 31323094 DOI: 10.1093/infdis/jiz372] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2019] [Accepted: 07/11/2019] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND This review aimed to provide constructive suggestions for the control and management of avian influenza through quantitative and qualitative evaluation of the impact of different live poultry market (LPM) interventions. METHODS Both English and Chinese language databases were searched for articles that were published on or before 9 November 2018. After extraction and assessment of the included literature, Stata14.0 was applied to perform a meta-analysis to explore the impacts of LPM interventions. RESULTS A total of 19 studies were identified. In total, 224 human, 3550 poultry, and 13 773 environment samples were collected before the intervention; 181 people, 4519 poultry, and 9562 environments were sampled after LPM interventions. Avian influenza virus (AIV) detection rates in the LPM environment (odds ratio [OR], 0.393; 95% confidence interval [CI], 0.262-0.589) and the incidence of AIV infection (OR, 0.045; 95% CI, 0.025-0.079) were significantly lower after LPM interventions, while interventions were not significantly effective in reducing AIV detection in poultry samples (OR, 0.803; 95% CI, 0.403-1.597). CONCLUSIONS LPM interventions can reduce AIV human infections and the detection rate of AIV in market environments.
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Affiliation(s)
- Naiyang Shi
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Jinxin Huang
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Xuefeng Zhang
- Jiangsu Center of Disease Control and Prevention, Nanjing, China
| | - Changjun Bao
- Jiangsu Center of Disease Control and Prevention, Nanjing, China
| | - Na Yue
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
| | - Qiang Wang
- Department of Epidemiology and Health Statistics, Nanjing, China
| | - Tingting Cui
- Department of Epidemiology and Health Statistics, Nanjing, China
| | - Mengyun Zheng
- Department of Epidemiology and Health Statistics, Nanjing, China
| | - Xiang Huo
- Jiangsu Center of Disease Control and Prevention, Nanjing, China
| | - Hui Jin
- Department of Epidemiology and Health Statistics, Nanjing, China.,Key Laboratory of Environmental Medicine Engineering, Ministry of Education, School of Public Health, Southeast University, Nanjing, China
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4
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Ou J, Huang M, Chen X, Wang Z, Lu G, Li S. The potential threat of avian influenza virus to horses - Recalling the Chinese 1989-1990 equine influenza outbreaks. J Infect 2020; 80:469-496. [PMID: 31891727 DOI: 10.1016/j.jinf.2019.12.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Revised: 12/09/2019] [Accepted: 12/23/2019] [Indexed: 10/25/2022]
Affiliation(s)
- Jiajun Ou
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642 Guangdong Province, China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou, 510642 Guangdong Province, China; Guangdong Technological Engineering Research Center for Pet, Guangzhou, 510642 Guangdong Province, China
| | - Mian Huang
- Guangzhou Zoo, Guangzhou, 510642 Guangdong Province, China
| | - Xuanjiao Chen
- Guangzhou Zoo, Guangzhou, 510642 Guangdong Province, China
| | - Zengchao Wang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642 Guangdong Province, China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou, 510642 Guangdong Province, China; Guangdong Technological Engineering Research Center for Pet, Guangzhou, 510642 Guangdong Province, China
| | - Gang Lu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642 Guangdong Province, China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou, 510642 Guangdong Province, China; Guangdong Technological Engineering Research Center for Pet, Guangzhou, 510642 Guangdong Province, China.
| | - Shoujun Li
- College of Veterinary Medicine, South China Agricultural University, Guangzhou, 510642 Guangdong Province, China; Guangdong Provincial Key Laboratory of Prevention and Control for Severe Clinical Animal Diseases, Guangzhou, 510642 Guangdong Province, China; Guangdong Technological Engineering Research Center for Pet, Guangzhou, 510642 Guangdong Province, China.
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Xiang B, Chen L, Song J, Xie P, Lin Q, Liao M, Xu C, Ren T. Genetic characterization of H7N4 avian influenza virus in China in 2018. J Infect 2019; 79:174-187. [PMID: 31029694 DOI: 10.1016/j.jinf.2019.04.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2019] [Accepted: 04/20/2019] [Indexed: 11/25/2022]
Affiliation(s)
- Bin Xiang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Libin Chen
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Jie Song
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Peng Xie
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Qiuyan Lin
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Ming Liao
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China
| | - Chenggang Xu
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China.
| | - Tao Ren
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, China; National and Regional Joint Engineering Laboratory for Medicament of Zoonosis Prevention and Control, Guangzhou, China; Key Laboratory of Animal Vaccine Development, Ministry of Agriculture, Guangzhou, China; Key Laboratory of Zoonosis Prevention and Control of Guangdong Province, Guangzhou, China.
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Horman WSJ, Nguyen THO, Kedzierska K, Bean AGD, Layton DS. The Drivers of Pathology in Zoonotic Avian Influenza: The Interplay Between Host and Pathogen. Front Immunol 2018; 9:1812. [PMID: 30135686 PMCID: PMC6092596 DOI: 10.3389/fimmu.2018.01812] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2018] [Accepted: 07/23/2018] [Indexed: 12/19/2022] Open
Abstract
The emergence of zoonotic strains of avian influenza (AI) that cause high rates of mortality in people has caused significant global concern, with a looming threat that one of these strains may develop sustained human-to-human transmission and cause a pandemic outbreak. Most notable of these viral strains are the H5N1 highly pathogenic AI and the H7N9 low pathogenicity AI viruses, both of which have mortality rates above 30%. Understanding of their mechanisms of infection and pathobiology is key to our preparation for these and future viral strains of high consequence. AI viruses typically circulate in wild bird populations, commonly infecting waterfowl and also regularly entering commercial poultry flocks. Live poultry markets provide an ideal environment for the spread AI and potentially the selection of mutants with a greater propensity for infecting humans because of the potential for spill over from birds to humans. Pathology from these AI virus infections is associated with a dysregulated immune response, which is characterized by systemic spread of the virus, lymphopenia, and hypercytokinemia. It has been well documented that host/pathogen interactions, particularly molecules of the immune system, play a significant role in both disease susceptibility as well as disease outcome. Here, we review the immune/virus interactions in both avian and mammalian species, and provide an overview or our understanding of how immune dysregulation is driven. Understanding these susceptibility factors is critical for the development of new vaccines and therapeutics to combat the next pandemic influenza.
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Affiliation(s)
- William S J Horman
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia.,Australian Animal Health Laboratory, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), East Geelong, VIC, Australia
| | - Thi H O Nguyen
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
| | - Katherine Kedzierska
- Department of Microbiology and Immunology, University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Parkville, VIC, Australia
| | - Andrew G D Bean
- Australian Animal Health Laboratory, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), East Geelong, VIC, Australia
| | - Daniel S Layton
- Australian Animal Health Laboratory, Health and Biosecurity, Commonwealth Scientific and Industrial Research Organisation (CSIRO), East Geelong, VIC, Australia
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