1
|
He J, Deng J, Wen X, Yan M, Liu Y, Zhou Y, Du X, Yang H, Peng X. Isolation and genetic characteristics of Novel H4N1 Avian Influenza viruses in ChongQing, China. Virol J 2024; 21:85. [PMID: 38600529 PMCID: PMC11008002 DOI: 10.1186/s12985-024-02352-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Accepted: 03/25/2024] [Indexed: 04/12/2024] Open
Abstract
BACKGROUND Avian influenza viruses (AIVs) constitute significant zoonotic pathogens encompassing a broad spectrum of subtypes. Notably, the H4 subtype of AIVs has a pronounced ability to shift hosts. The escalating prevalence of the H4 subtype heightens the concern for its zoonotic potential, signaling an urgent need for vigilance. METHODS During the period from December 2021 to November 2023, we collected AIV-related environmental samples and assessed them using a comprehensive protocol that included nucleic acid testing, gene sequencing, isolation culture, and resequencing. RESULTS In this study, a total of 934 environmental samples were assessed, revealing a remarkably high detection rate (43.66%, 289/662) of AIV in the live poultry market. Notably, the H4N1 subtype AIV (cs2301) was isolated from the live poultry market and its complete genome sequence was successfully determined. Subsequent analysis revealed that cs2301, resulting from a reassortment event between wild and domesticated waterfowl, exhibits multiple mutations and demonstrates potential for host transfer. CONCLUSIONS Our research once again demonstrates the significant role of wild and domesticated waterfowl in the reassortment process of avian influenza virus, enriching the research on the H4 subtype of AIV, and emphasizing the importance of proactive monitoring the environment related to avian influenza virus.
Collapse
Affiliation(s)
- Jinyue He
- The affiliated Yongchuan hospital of Chongqing medical university, 402160, Yongchuan, China
| | - Jing Deng
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China.
| | - Xianxian Wen
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China
| | - Mengyuan Yan
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China
| | - Yang Liu
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China
| | - Yunqiu Zhou
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China
| | - XuBin Du
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China
| | - Han Yang
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China
| | - Xiaobin Peng
- Chongqing Changshou District Center for Disease Control and Prevention, 401220, Changshou, China.
| |
Collapse
|
2
|
Wen F, Wang C, Guo J, Yu H, Yuan S, Li Y, Li Z, Huang S, Liang Z. Development and application of a triplex real-time PCR assay for the detection of H3, H4, and H5 subtypes of avian influenza virus. Poult Sci 2024; 103:103333. [PMID: 38113705 PMCID: PMC10770746 DOI: 10.1016/j.psj.2023.103333] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2023] [Revised: 11/24/2023] [Accepted: 11/27/2023] [Indexed: 12/21/2023] Open
Abstract
Avian influenza virus (AIV) poses a significant threat to the poultry industry and public health. Among the diverse AIV subtypes, H3, H4, and H5 are frequently detected in waterfowl and live poultry markets (LPM). The expeditious and precise identification of these subtypes is imperative in impeding the dissemination of the disease. In this study, we have developed a triplex real-time PCR assay endowed with the capacity to simultaneously discriminate AIV subtypes H3, H4, and H5. This method showcases remarkable specificity, selectively amplifying H3, H4, and H5 AIV subtypes sans any cross-reactivity with other subtypes or common avian pathogens. Furthermore, this method exhibits high sensitivity, with a detection threshold of 2.1 × 102 copies/μL for H3, H4, and H5 AIV subtypes. Additionally, the assay demonstrates reproducibility, as evidenced by intra- and interassay variability, with a coefficient of variation below 1.5%. A total of 338 cloacal swabs were collected from LPM to evaluate the performance of our assay. The obtained results evinced a high level of concordance with the sequencing data. In summary, our study has developed a triplex real-time PCR method that can be employed in laboratory-based testing and surveillance of AIV. This assay holds promise in augmenting our ability to detect and monitor AIV subtypes, thereby facilitating timely interventions and safeguarding both the poultry industry and public health.
Collapse
Affiliation(s)
- Feng Wen
- College of Life Science and Engineering, Foshan University, Foshan 528231, Guangdong, China
| | - Congying Wang
- College of Life Science and Engineering, Foshan University, Foshan 528231, Guangdong, China
| | - Jinyue Guo
- College of Life Science and Engineering, Foshan University, Foshan 528231, Guangdong, China
| | - Hai Yu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai 200241, China
| | - Sheng Yuan
- College of Life Science and Engineering, Foshan University, Foshan 528231, Guangdong, China
| | - Yong Li
- College of Animal Science and Technology, Jiangxi Agricultural University, Nanchang 330045, Jiangxi, China
| | - Zhili Li
- College of Life Science and Engineering, Foshan University, Foshan 528231, Guangdong, China
| | - Shujian Huang
- College of Life Science and Engineering, Foshan University, Foshan 528231, Guangdong, China
| | - Zhaoping Liang
- College of Veterinary Medicine, South China Agricultural University, Guangzhou 510642, Guangdong, China.
| |
Collapse
|
3
|
Brüssow H. Avian influenza virus cross-infections as test case for pandemic preparedness: From epidemiological hazard models to sequence-based early viral warning systems. Microb Biotechnol 2024; 17:e14389. [PMID: 38227348 PMCID: PMC10832514 DOI: 10.1111/1751-7915.14389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 11/17/2023] [Accepted: 12/06/2023] [Indexed: 01/17/2024] Open
Abstract
Pandemic preparedness starts with an early warning system of viruses with a pandemic potential. Based on information collected in a multitude of surveys, hazard models were developed identifying influenza viruses presenting a pandemic threat. Scores are attributed for 10 viral traits by expert panels which identified avian influenza viruses (AIV) belonging to subtypes H7N9 and H5N1 as representing the greatest pandemic risk. In 2013, more than 100 human cases infected with AIV H7N9 were observed in China. Case fatality rate (CFR) was high (27%), but the human-to-human transmission rate was low and by serological evidence H7N9 did not spread widely. Nevertheless, until 2019 more than 1500 H7N9 patients were identified characterized by a high CFR of 39%. Serology demonstrated that mild infections with H7N9 were widespread. In 2003, more than 400 people experienced AIV H7N7 cross-infection causing mainly conjunctivitis during a large poultry epidemic in The Netherlands. Between 1996 and 2019, a total of 881 human infections with avian H5N1 viruses were documented showing a CFR of 52%. Outbreaks were centred on South East Asia and showed close associations with epizootics in poultry. Mutations predisposing to human cross-infections were identified in the haemagglutinin (HA) and the RNA polymerase subunit PB2 of human H7N9 isolates. Human H5N1 isolates showed mutations in the receptor binding domain of HA and transmission in mammals could be obtained by as few as four additional aa changes introduced experimentally. Researchers have defined viral point mutations in HA, PB2 and the nucleoprotein NP that allowed AIV to cross the species barrier to mammals with respect to receptor recognition, RNA replication and escape from innate immunity respectively. Based on this insight a sequence-based early warning system for AIV preadapted to human transmission could be envisioned. Mink farms and live poultry markets are prime targets for such sequencing efforts.
Collapse
Affiliation(s)
- Harald Brüssow
- Division of Animal and Human Health Engineering, Department of BiosystemsKU LeuvenLeuvenBelgium
| |
Collapse
|
4
|
Hassan MZ, Sturm-Ramirez K, Islam MS, Afreen S, Rahman MZ, Kafi MAH, Chowdhury S, Khan SU, Rahman M, Nasreen S, Davis CT, Levine MZ, Rahman M, Luby SP, Azziz-Baumgartner E, Iuliano AD, Uyeki TM, Gurley ES. Interpretation of molecular detection of avian influenza A virus in respiratory specimens collected from live bird market workers in Dhaka, Bangladesh: infection or contamination? Int J Infect Dis 2023; 136:22-28. [PMID: 37652093 DOI: 10.1016/j.ijid.2023.08.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 08/21/2023] [Accepted: 08/25/2023] [Indexed: 09/02/2023] Open
Abstract
OBJECTIVES Interpreting real-time reverse transcription-polymerase chain reaction (rRT-PCR) results for human avian influenza A virus (AIV) detection in contaminated settings like live bird markets (LBMs) without serology or viral culture poses a challenge. METHODS During February-March 2012 and November 2012-February 2013, we screened workers at nine LBMs in Dhaka, Bangladesh, to confirm molecular detections of AIV RNA in respiratory specimens with serology. We tested nasopharyngeal (NP) and throat swabs from workers with influenza-like illness (ILI) and NP, throat, and arm swabs from asymptomatic workers for influenza virus by rRT-PCR and sera for seroconversion and antibodies against HPAI A(H5N1) and A(H9N2) viruses. RESULTS Among 1273 ILI cases, 34 (2.6%) had A(H5), 56 (4%) had A(H9), and six (0.4%) had both A(H5) and A(H9) detected by rRT-PCR. Of 192 asymptomatic workers, A(H5) was detected in eight (4%) NP and 38 (20%) arm swabs. Of 28 ILI cases with A(H5) or A(H9) detected, none had evidence of seroconversion, but one (3.5%) and 12 (43%) were seropositive for A(H5) and A(H9), respectively. CONCLUSION Detection of AIV RNA in respiratory specimens from symptomatic and asymptomatic LBM workers without evidence of seroconversion or virus isolation suggests environmental contamination, emphasizing caution in interpreting rRT-PCR results in high viral load settings.
Collapse
Affiliation(s)
- Md Zakiul Hassan
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh.
| | | | | | - Sadia Afreen
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | | | | | - Sukanta Chowdhury
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Salah Uddin Khan
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Mustafizur Rahman
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh
| | - Sharifa Nasreen
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh; University of British Columbia, Vancouver, Canada
| | - C Todd Davis
- Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Min Z Levine
- Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Mahmudur Rahman
- Institute of Epidemiology, Disease Control and Research (IEDCR), Dhaka, Bangladesh
| | | | | | - A D Iuliano
- Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Timothy M Uyeki
- Centers for Disease Control and Prevention (CDC), Atlanta, USA
| | - Emily S Gurley
- International Centre for Diarrhoeal Disease Research, Dhaka, Bangladesh; Johns Hopkins Bloomberg School of Public Health, Baltimore, USA
| |
Collapse
|
5
|
Carnegie L, Raghwani J, Fournié G, Hill SC. Phylodynamic approaches to studying avian influenza virus. Avian Pathol 2023; 52:289-308. [PMID: 37565466 DOI: 10.1080/03079457.2023.2236568] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 06/23/2023] [Accepted: 07/07/2023] [Indexed: 08/12/2023]
Abstract
Avian influenza viruses can cause severe disease in domestic and wild birds and are a pandemic threat. Phylodynamics is the study of how epidemiological, evolutionary, and immunological processes can interact to shape viral phylogenies. This review summarizes how phylodynamic methods have and could contribute to the study of avian influenza viruses. Specifically, we assess how phylodynamics can be used to examine viral spread within and between wild or domestic bird populations at various geographical scales, identify factors associated with virus dispersal, and determine the order and timing of virus lineage movement between geographic regions or poultry production systems. We discuss factors that can complicate the interpretation of phylodynamic results and identify how future methodological developments could contribute to improved control of the virus.
Collapse
Affiliation(s)
- L Carnegie
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
| | - J Raghwani
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
| | - G Fournié
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
- Université de Lyon, INRAE, VetAgro Sup, UMR EPIA, Marcy l'Etoile, France
- Université Clermont Auvergne, INRAE, VetAgro Sup, UMR EPIA, Saint Genes Champanelle, France
| | - S C Hill
- Department of Pathobiology and Population Sciences, Royal Veterinary College (RVC), Hatfield, UK
| |
Collapse
|
6
|
Lee J, Howard JT. Increased Self-Reported Mental Health Problems Among Asian-Americans During the COVID-19 Pandemic in the United States: Evidence from a Nationally Representative Database. J Racial Ethn Health Disparities 2023; 10:2344-2353. [PMID: 36129608 PMCID: PMC9491255 DOI: 10.1007/s40615-022-01414-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Revised: 09/10/2022] [Accepted: 09/13/2022] [Indexed: 11/26/2022]
Abstract
BACKGROUND To investigate changes in mental health outcomes among racial groups between 2019 and 2020. METHODS A retrospective cohort study was conducted using the third through fourth quarters of 2019-2020 longitudinal data from the National Health Interview Survey. Self-reports of diagnosed depression and anxiety disorder were key outcomes. We calculated the percentage of depression and anxiety disorder across baseline sample characteristics. Discrete-time hazard models stratified by race/ethnicity were conducted, with hazard ratios (HRs), 95% confidence intervals (CIs), and p-values reported. RESULTS Of a total 10,415 individuals, 16.3 and 14.1% reported that they were diagnosed with depression and anxiety disorder in 2019, respectively. In the multivariable model, only Asian-Americans experienced a significant increase in the probability of receiving a diagnosis of depression by 104% between 2019 and 2020 (HR 2.04, 95%CI 1.19-3.52; p = 0.010). Also, Asian-Americans had a 97% (HR 1.97, 95%CI 1.23-3.15; p = 0.005) greater probability of being diagnosed with anxiety disorder in 2020 than in the previous year, while Hispanics and Whites had a relatively moderate increase of 40% (HR 1.40, 95%CI 1.01-1.76; p = 0.040) and 11% (HR 1.11, 95%CI 1.03-1.20; p = 0.007), respectively. CONCLUSIONS Asian-Americans experienced a disproportionate increase in mental health conditions during the COVID-19 pandemic. Discriminatory behaviors against Asian-Americans may be important contributors. The study findings suggest the need for serious actions to address this issue.
Collapse
Affiliation(s)
- Jusung Lee
- Department of Public Health, College for Health, Community and Policy, University of Texas at San Antonio, San Antonio, TX, USA.
| | - Jeffrey T Howard
- Department of Public Health, College for Health, Community and Policy, University of Texas at San Antonio, San Antonio, TX, USA
| |
Collapse
|
7
|
Wang Z, Li H, Li Y, Wu Z, Ai H, Zhang M, Rong L, Blinov ML, Tong Q, Liu L, Sun H, Pu J, Feng W, Liu J, Sun Y. Mixed selling of different poultry species facilitates emergence of public-health-threating avian influenza viruses. Emerg Microbes Infect 2023; 12:2214255. [PMID: 37191631 DOI: 10.1080/22221751.2023.2214255] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Live poultry markets (LPMs) are regarded as hubs for avian influenza virus (AIV) transmission in poultry and are a major risk factor in human AIV infections. We performed an AIV surveillance study at a wholesale LPM, where different poultry species were sold in separate stalls, and nine retail LPMs, which received poultry from the wholesale LPM but where different poultry species were sold in one stall, in Guangdong province from 2017 to 2019. A higher AIV isolation rate was observed at the retail LPMs than the wholesale LPM. H9N2 was the dominant AIV subtype and was mainly present in chickens and quails. The genetic diversity of H9N2 viruses was greater at the retail LPMs, where a complex system of two-way transmission between different poultry species had formed. The isolated H9N2 viruses could be classed into four genotypes: G57 and the three novel genotypes, NG164, NG165, and NG166. The H9N2 AIVs isolated from chickens and quails at the wholesale LPM only belonged to the G57 and NG164 genotypes, respectively. However, the G57, NG164, and NG165 genotypes were identified in both chickens and quails at the retail LPMs. We found that the replication and transmission of the NG165 genotype were more adaptive to both poultry and mammalian models than those of its precursor genotype, NG164. Our findings revealed that mixed poultry selling at retail LPMs has increased the genetic diversity of AIVs, which might facilitate the emergence of novel viruses that threaten public health.
Collapse
Affiliation(s)
- Zhen Wang
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
- State Key Laboratories of Agrobiotechnology, and Department of Microbiology and Immunology, College of Biological Science, China Agricultural University, Beijing, People's Republic of China
| | - Hongkui Li
- Liaoning Agricultural Development Service Center, Shenyang, People's Republic of China
| | - Yuhan Li
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Zhuanli Wu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Hui Ai
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Ming Zhang
- Department of Epidemiology and Biostatistics, University of Georgia, Athens, GA, USA
| | - Libin Rong
- Department of Mathematics, University of Florida, Gainesville, FL, USA
| | - Michael L Blinov
- Center for Cell Analysis and Modeling, University of Connecticut School of Medicine, Farmington, CT, USA
| | - Qi Tong
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Litao Liu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Honglei Sun
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Juan Pu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Wenhai Feng
- State Key Laboratories of Agrobiotechnology, and Department of Microbiology and Immunology, College of Biological Science, China Agricultural University, Beijing, People's Republic of China
| | - Jinhua Liu
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| | - Yipeng Sun
- National Key Laboratory of Veterinary Public Health Security, Key Laboratory for Prevention and Control of Avian Influenza and Other Major Poultry Diseases and Key Laboratory of Animal Epidemiology of Ministry of Agriculture and Rural Affairs, College of Veterinary Medicine, China Agricultural University, Beijing, People's Republic of China
| |
Collapse
|
8
|
Guan L, Zhong G, Fan S, Plisch EM, Presler R, Gu C, Babujee L, Pattinson D, Le Khanh Nguyen H, Hoang VMP, Le MQ, van Bakel H, Neumann G, Kawaoka Y. Highly Pathogenic H5 Influenza Viruses Isolated between 2016 and 2017 in Vietnamese Live Bird Markets. Viruses 2023; 15:1093. [PMID: 37243179 PMCID: PMC10223276 DOI: 10.3390/v15051093] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2023] [Revised: 04/21/2023] [Accepted: 04/21/2023] [Indexed: 05/28/2023] Open
Abstract
Routine surveillance in live poultry markets in the northern regions of Vietnam from 2016 to 2017 resulted in the isolation of 27 highly pathogenic avian H5N1 and H5N6 viruses of 3 different clades (2.3.2.1c, 2.3.4.4f, and 2.3.4.4g). Sequence and phylogenetic analysis of these viruses revealed reassortment with various subtypes of low pathogenic avian influenza viruses. Deep-sequencing identified minor viral subpopulations encoding variants that may affect pathogenicity and sensitivity to antiviral drugs. Interestingly, mice infected with two different clade 2.3.2.1c viruses lost body weight rapidly and succumbed to virus infection, whereas mice infected with clade 2.3.4.4f or 2.3.4.4g viruses experienced non-lethal infections.
Collapse
Affiliation(s)
- Lizheng Guan
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Gongxun Zhong
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Shufang Fan
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Erin M. Plisch
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Robert Presler
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Chunyang Gu
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Lavanya Babujee
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - David Pattinson
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | | | | | - Mai Quynh Le
- National Institute of Hygiene and Epidemiology, Hanoi 100000, Vietnam
| | - Harm van Bakel
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Gabriele Neumann
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
| | - Yoshihiro Kawaoka
- Influenza Research Institute, Department of Pathobiological Sciences, School of Veterinary Medicine, University of Wisconsin, Madison, WI 53711, USA
- Division of Virology, Department of Microbiology and Immunology, and International Research Center for Infectious Diseases, The Institute of Medical Science, University of Tokyo, Tokyo 108-8639, Japan
- Research Center for Global Viral Diseases, National Center for Global Health and Medicine, Tokyo 162-8655, Japan
- Infection and Advanced Research (UTOPIA) Center, The University of Tokyo, Pandemic Preparedness, Tokyo 108-8639, Japan
| |
Collapse
|
9
|
Chen T, Tan Y, Song Y, Wei G, Li Z, Wang X, Yang J, Millman A, Chen M, Liu D, Huang T, Jiao M, He W, Zhao X, Greene C, Kile J, Zhou S, Zhang R, Zeng X, Guo Q, Wang D. Enhanced Environmental Surveillance for Avian Influenza A/H5, H7 and H9 Viruses in Guangxi, China, 2017-2019. BIOSAFETY AND HEALTH 2023. [DOI: 10.1016/j.bsheal.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023] Open
|
10
|
Cui B, Yip CSC, Chen X, Xu MY, Ke J, Tian Y. Phasing out live poultry market trading policy in China: characteristics of chicken consumption, decision-making behavior, and consumer cluster analysis. J Verbrauch Lebensm 2022; 18:71-81. [PMID: 36568908 PMCID: PMC9760183 DOI: 10.1007/s00003-022-01411-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Revised: 11/06/2022] [Accepted: 11/22/2022] [Indexed: 12/23/2022]
Abstract
With the emergence of avian influenza viruses, many Chinese cities periodically close the live poultry markets to restrict the trade of live chicken. This study investigated customers' decision-making clusters and consumption preferences. Data from 1108 participants were collected in May 2021 in the Jiangsu province using a mixed sampling method. Eight decision-making behaviors were identified using the Exploratory Factor Analysis. Five consumer clusters were identified using K-Means Cluster Analysis. Chi-square tests and pairwise comparisons of multiple sample rates were used to identify the differences in consumption preferences between the consumer clusters. The results show that only the concern of risking an avian influenza virus infection might not effectively change consumer preferences towards live chicken and patronage of wet markets and farms. Product quality, consumer habits and loyalty, limited knowledge and technology, and leisure elements in visiting farms are hindering changes in consumer preferences. Effective policies are needed to help customers to overcome the barriers of buying chilled and frozen chicken. Supplementary Information The online version contains supplementary material available at 10.1007/s00003-022-01411-y.
Collapse
Affiliation(s)
- Bin Cui
- Business School of Yangzhou University, Yangzhou, 225001 Jiangsu Province China
| | - Cynthia Sau Chun Yip
- Department of Business Administration, Chu Hai College of Higher Education, 80, Castle Peak Road, Tuen Mun, N.T. Hong Kong China
| | - Xiang Chen
- Jiangsu Key Laboratory of Zoonosis, Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, 225001 Jiangsu Province China
| | - Mei Yin Xu
- Business School of Yangzhou University, Yangzhou, 225001 Jiangsu Province China
| | - Jun Ke
- Business School of Yangzhou University, Yangzhou, 225001 Jiangsu Province China
| | - Yi Tian
- Business School of Yangzhou University, Yangzhou, 225001 Jiangsu Province China
| |
Collapse
|
11
|
Gao Q, Levi R, Renegar N. Leveraging machine learning to assess market-level food safety and zoonotic disease risks in China. Sci Rep 2022; 12:21650. [PMID: 36522373 PMCID: PMC9755119 DOI: 10.1038/s41598-022-25817-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2021] [Accepted: 12/05/2022] [Indexed: 12/23/2022] Open
Abstract
While many have advocated for widespread closure of Chinese wet and wholesale markets due to numerous zoonotic disease outbreaks (e.g., SARS) and food safety risks, this is impractical due to their central role in China's food system. This first-of-its-kind work offers a data science enabled approach to identify market-level risks. Using a massive, self-constructed dataset of food safety tests, market-level adulteration risk scores are created through machine learning techniques. Analysis shows that provinces with more high-risk markets also have more human cases of zoonotic flu, and specific markets associated with zoonotic disease have higher risk scores. Furthermore, it is shown that high-risk markets have management deficiencies (e.g., illegal wild animal sales), potentially indicating that increased and integrated regulation targeting high-risk markets could mitigate these risks.
Collapse
Affiliation(s)
- Qihua Gao
- grid.116068.80000 0001 2341 2786Sloan School of Management, Massachusetts Institute of Technology, 100 Main Street, E62, Cambridge, MA 02142 USA
| | - Retsef Levi
- grid.116068.80000 0001 2341 2786Sloan School of Management, Massachusetts Institute of Technology, 100 Main Street, E62, Cambridge, MA 02142 USA
| | - Nicholas Renegar
- grid.116068.80000 0001 2341 2786Sloan School of Management, Massachusetts Institute of Technology, 100 Main Street, E62, Cambridge, MA 02142 USA
| |
Collapse
|
12
|
Liu T, Peng Y, Wu J, Lu S, He Y, Li X, Sun L, Song S, Zhang S, Li Z, Wang X, Zhang S, Liu M, Kou Z. Surveillance of avian influenza viruses in live bird markets of Shandong province from 2013 to 2019. Front Microbiol 2022; 13:1030545. [PMID: 36406436 PMCID: PMC9670132 DOI: 10.3389/fmicb.2022.1030545] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Accepted: 10/11/2022] [Indexed: 11/05/2022] Open
Abstract
Avian influenza viruses (AIVs) seriously affect the poultry industry and pose a great threat to humans. Timely surveillance of AIVs is the basis for preparedness of the virus. This study reported the long-term surveillance of AIVs in the live bird market (LBM) of 16 cities in Shandong province from 2013 to 2019. A total of 29,895 samples were obtained and the overall positive rate of AIVs was 9.7%. The H9 was found to be the most predominant subtype in most of the time and contributed most to the monthly positve rate of AIVs as supported by the univariate and multivariate analysis, while H5 and H7 only circulated in some short periods. Then, the whole-genome sequences of 62 representative H9N2 viruses including one human isolate from a 7-year-old boy in were determined and they were genetically similar to each other with the median pairwise sequence identities ranging from 0.96 to 0.98 for all segments. The newly sequenced viruses were most similar to viruses isolated in chickens in mainland China, especially the provinces in Eastern China. Phylogenetic analysis showed that these newly sequenced H9N2 viruses belonged to the same clade for all segments except PB1. Nearly all of these viruses belonged to the G57 genotype which has dominated in China since 2010. Finally, several molecular markers associated with human adaptation, mammalian virulence, and drug resistance were identified in the newly sequenced H9N2 viruses. Overall, the study deepens our understanding of the epidemic and evolution of AIVs and provides a basis for effective control of AIVs in China.
Collapse
Affiliation(s)
- Ti Liu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Yousong Peng
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China
| | - Julong Wu
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shangwen Lu
- Bioinformatics Center, College of Biology, Hunan Provincial Key Laboratory of Medical Virology, Hunan University, Changsha, China
| | - Yujie He
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xiyan Li
- Chinese National Influenza Center, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Lin Sun
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shaoxia Song
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shengyang Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Zhong Li
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Xianjun Wang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Shu Zhang
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
| | - Mi Liu
- Jiangsu Institute of Clinical Immunology, The First Affiliated Hospital of Soochow University, Suzhou, China
- Mi Liu,
| | - Zengqiang Kou
- Shandong Provincial Key Laboratory of Infectious Disease Control and Prevention, Shandong Center for Disease Control and Prevention, Jinan, China
- *Correspondence: Zengqiang Kou,
| |
Collapse
|
13
|
Proboste T, James A, Charette-Castonguay A, Chakma S, Cortes-Ramirez J, Donner E, Sly P, Magalhães RJS. Research and Innovation Opportunities to Improve Epidemiological Knowledge and Control of Environmentally Driven Zoonoses. Ann Glob Health 2022; 88:93. [PMID: 36348706 PMCID: PMC9585982 DOI: 10.5334/aogh.3770] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2022] [Accepted: 07/19/2022] [Indexed: 11/29/2022] Open
Abstract
While zoonotic diseases are defined by transmission processes between animals and humans, for many of these diseases the presence of a contaminated environmental source is the cause of transmission. Most zoonoses depend on complex environmentally driven interactions between humans and animals, which occur along an occupational and recreational environmental continuum, including farming and animal marketing systems, environmental management systems, and community leisure environments. Environmentally driven zoonoses (EDZs) are particularly challenging to diagnose and control as their reservoirs are in the natural environment and thus often escape conventional surveillance systems that rely on host monitoring. Changes in the environment as a result of climate change [1], human population density [2], and intensification of agriculture [3] have been linked to increasing transmission events for this group of infections. As such, there is a recognised need to be able to detect the presence of EDZs in the environment as a means to better anticipate transmission events and improve source attribution investigations. Finally, the recognition that a One Health approach is needed to combat these infections is signalling to governments the need to develop policy that optimises trade-offs across human, animal, and environmental health sectors. In this review, we discuss and critically appraise the main challenges relating to the epidemiology, diagnosis, and control of environmental zoonotic disease. Using a set of exemplar diseases, including avian influenza and antimicrobial resistant pathogens, we explore the epidemiological contexts (risk factors) within which these infections not only impact human health but also contribute to animal health and environmental impacts. We then critically appraise the surveillance challenges of monitoring these infections in the environment and examine the policy trade-offs for a more integrated approach to mitigating their impacts.
Collapse
Affiliation(s)
- Tatiana Proboste
- UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
- Queensland Alliance for One Health Sciences, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Ameh James
- Queensland Alliance for One Health Sciences, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Adam Charette-Castonguay
- Queensland Alliance for One Health Sciences, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Shovon Chakma
- UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
| | - Javier Cortes-Ramirez
- Children’s Health and Environment Program, Child Health Research Centre, The University of Queensland, Brisbane, 4101 QLD, Australia
- Centre for Data Science, Queensland University of Technology, Kelvin Grove, 4059 QLD, Australia
| | - Erica Donner
- Future Industries Institute, University of South Australia, Mawson Lakes, SA 5095, Australia
| | - Peter Sly
- Children’s Health and Research Centre, Children’s Health and Environment Program, The University of Queensland, South Brisbane, Australia
| | - Ricardo J. Soares Magalhães
- UQ Spatial Epidemiology Laboratory, School of Veterinary Science, University of Queensland, Gatton, Australia
- Queensland Alliance for One Health Sciences, School of Veterinary Science, University of Queensland, Gatton, Australia
- Children’s Health and Research Centre, Children’s Health and Environment Program, The University of Queensland, South Brisbane, Australia
| |
Collapse
|
14
|
Mendoza AP, Shanee S, Cavero N, Lujan-Vega C, Ibañez Y, Rynaby C, Villena M, Murillo Y, Olson SH, Perez A, Parker PG, Uhart MM, Brightsmith DJ. Domestic networks contribute to the diversity and composition of live wildlife trafficked in urban markets in Peru. Glob Ecol Conserv 2022. [DOI: 10.1016/j.gecco.2022.e02161] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
|
15
|
Yang L, Song D, Fan M, Gao L. Transmission dynamics and optimal control of H7N9 in China. INT J BIOMATH 2021. [DOI: 10.1142/s1793524522500073] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
H7N9 avian influenza is a highly pathogenic zoonotic disease. In order to control the disease, many strategies have been adopted in China such as poultry culling, the closure of live poultry markets (LPMs), the vaccination of poultry, and the treatment for humans. Due to the limited resource, it is of paramount significance to achieve the optimal control. In this paper, an epidemic model incorporating the selective culling rate is formulated to investigate the transmission mechanism of H7N9. The threshold dynamics and bifurcation analyses of the model are well investigated. Furthermore, the problem of optimal control is explored in line with Pontryagin’s Maximum Principle, with consideration given to the comprehensive measures. The numerical simulations suggest that the vaccination of poultry and the closure of LPMs are the two most economical and effective measures.
Collapse
Affiliation(s)
- Liu Yang
- School of Mathematics and Statistics, Northeast Normal University 5268 Renmin Street, Changchun, Jilin 130024, P. R. China
| | - Da Song
- School of Mathematics Science, Fudan University, 220 Handan Road, Shanghai 200433, P. R. China
| | - Meng Fan
- School of Mathematics and Statistics, Northeast Normal University 5268 Renmin Street, Changchun, Jilin 130024, P. R. China
| | - Lu Gao
- China Animal Health and Epidemiology Center, Qingdao 266032, P. R. China
| |
Collapse
|
16
|
Le KT, Stevenson MA, Isoda N, Nguyen LT, Chu DH, Nguyen TN, Nguyen LV, Tien TN, Le TT, Matsuno K, Okamatsu M, Sakoda Y. A systematic approach to illuminate a new hot spot of avian influenza virus circulation in South Vietnam, 2016-2017. Transbound Emerg Dis 2021; 69:e831-e844. [PMID: 34734678 DOI: 10.1111/tbed.14380] [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: 09/06/2021] [Revised: 03/30/2021] [Accepted: 10/16/2021] [Indexed: 11/27/2022]
Abstract
In South Vietnam, live bird markets (LBMs) are key in the value chain of poultry products and spread of avian influenza virus (AIV) although they may not be the sole determinant of AIV prevalence. For this reason, a risk analysis of AIV prevalence was conducted accounting for all value chain factors. A cross-sectional study of poultry flock managers and poultry on backyard farms, commercial (high biosecurity) farms, LBMs and poultry delivery stations (PDSs) in four districts of Vinh Long province was conducted between December 2016 and August 2017. A total of 3597 swab samples were collected from birds from 101 backyard farms, 50 commercial farms, 58 sellers in LBMs and 19 traders in PDSs. Swab samples were submitted for AIV isolation. At the same time a questionnaire was administered to flock managers asking them to provide details of their knowledge, attitude and practices related to avian influenza. Multiple correspondence analysis and a mixed-effects multivariable logistic regression model were developed to identify enterprise and flock manager characteristics that increased the risk of AIV positivity. A total of 274 birds were positive for AIV isolation, returning an estimated true prevalence of 7.6% [95% confidence interval (CI): 6.8%-8.5%]. The odds of a bird being AIV positive if it was from an LBM or PDS were 45 (95% CI: 3.4-590) and 25 (95% CI: 1.4-460), respectively, times higher to the odds of a bird from a commercial poultry farm being AIV positive. The odds of birds being AIV positive for respondents with a mixed (uncertain or inconsistent) level and a low level of knowledge about AI were 5.0 (95% CI: 0.20-130) and 3.5 (95% CI: 0.2-62), respectively, times higher to the odd of birds being positive for respondents with a good knowledge of AI. LBMs and PDSs should receive specific emphasis in AI control programs in Vietnam. Our findings provide evidence to support the hypothesis that incomplete respondent knowledge of AI and AIV spread mechanism were associated with an increased risk of AIV positivity. Delivery of education programs specifically designed for those in each enterprise will assist in this regard. The timing and frequency of delivery of education programs are likely to be important if the turnover of those working in LBMs and PDSs is high.
Collapse
Affiliation(s)
- Kien Trung Le
- Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Mark A Stevenson
- Faculty of Veterinary and Agricultural Sciences, Asia-Pacific Centre for Animal Health, The University of Melbourne, Parkville, Victoria, Australia
| | - Norikazu Isoda
- Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,Division of Risk Analysis and Management, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan.,International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Lam Thanh Nguyen
- Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,Department of Veterinary Medicine, College of Agriculture, Can Tho University, Can Tho, Vietnam
| | - Duc-Huy Chu
- Department of Animal Health, Ministry of Agriculture and Rural Development, Ha Noi, Vietnam
| | - Tien Ngoc Nguyen
- Department of Animal Health, Ministry of Agriculture and Rural Development, Ha Noi, Vietnam
| | - Long Van Nguyen
- Department of Animal Health, Ministry of Agriculture and Rural Development, Ha Noi, Vietnam
| | - Tien Ngoc Tien
- Regional Animal Health Office VII, Department of Animal Health, Ministry of Agriculture and Rural Development, Can Tho, Vietnam
| | - Tung Thanh Le
- Sub-Departments of Animal Health, Ministry of Agriculture and Rural Development, Vinh Long, Vietnam
| | - Keita Matsuno
- Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Masatoshi Okamatsu
- Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan
| | - Yoshihiro Sakoda
- Laboratory of Microbiology, Faculty of Veterinary Medicine, Hokkaido University, Sapporo, Hokkaido, Japan.,International Collaboration Unit, International Institute for Zoonosis Control, Hokkaido University, Sapporo, Hokkaido, Japan
| |
Collapse
|
17
|
Guo J, Song W, Ni X, Liu W, Wu J, Xia W, Zhou X, Wang W, He F, Wang X, Fan G, Zhou K, Chen H, Chen S. Pathogen change of avian influenza virus in the live poultry market before and after vaccination of poultry in southern China. Virol J 2021; 18:213. [PMID: 34715890 PMCID: PMC8554751 DOI: 10.1186/s12985-021-01683-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2021] [Accepted: 10/18/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The fifth wave of H7N9 avian influenza virus caused a large number of human infections and a large number of poultry deaths in China. Since September 2017, mainland China has begun to vaccinate poultry with H5 + H7 avian influenza vaccine. We investigated the avian influenza virus infections in different types of live poultry markets and samples before and after genotype H5 + H7 vaccination in Nanchang, and analyzed the changes of the HA subtypes of AIVs. METHODS From 2016 to 2019, we monitored different live poultry markets and collected specimens, using real-time reverse transcription polymerase chain reaction (RT-PCR) technology to detect the nucleic acid of type A avian influenza virus in the samples. The H5, H7 and H9 subtypes of influenza viruses were further classified for the positive results. The χ2 test was used to compare the differences in the separation rates of different avian influenza subtypes. RESULTS We analyzed 5,196 samples collected before and after vaccination and found that the infection rate of AIV in wholesale market (21.73%) was lower than that in retail market (24.74%) (P < 0.05). Among all the samples, the positive rate of sewage samples (33.90%) was the highest (P < 0.001). After vaccination, the positive rate of H5 and H7 subtypes decreased, and the positive rate of H9 subtype and untypable HA type increased significantly (P < 0.001). The positive rates of H9 subtype in different types of LPMs and different types of samples increased significantly (P < 0.01), and the positive rates of untypable HA type increased significantly in all environmental samples (P < 0.05). CONCLUSIONS Since vaccination, the positive rates of H5 and H7 subtypes have decreased, but the positive rates of H9 subtypes have increased to varying degrees in different testing locations and all samples. This results show that the government should establish more complete measures to achieve long-term control of the avian influenza virus.
Collapse
Affiliation(s)
- Jin Guo
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China.,School of Public Health, Jiangxi Provincial Key Laboratory of Preventive Medicine, Nanchang University, Nanchang, 330006, People's Republic of China
| | - Wentao Song
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Xiansheng Ni
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Wei Liu
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Jingwen Wu
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Wen Xia
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Xianfeng Zhou
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Wei Wang
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Fenglan He
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Xi Wang
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Guoyin Fan
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Kun Zhou
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Haiying Chen
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China
| | - Shengen Chen
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-Origin and Vector-Borne Diseases, Nanchang Center for Disease Control and Prevention, Nanchang, 330038, People's Republic of China.
| |
Collapse
|
18
|
Wei X, Wang L, Jia Q, Xiao J, Zhu G. Assessing different interventions against Avian Influenza A (H7N9) infection by an epidemiological model. One Health 2021; 13:100312. [PMID: 34458547 PMCID: PMC8379632 DOI: 10.1016/j.onehlt.2021.100312] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 08/15/2021] [Accepted: 08/15/2021] [Indexed: 12/03/2022] Open
Abstract
This paper aims at evaluating the effectiveness of different intervention measures against the infection of avian influenza A (H7N9) by using an epidemiological model. The model formulates the intrinsic interactions of domestic poultry (DP), H7N9 virus and humans by ordinary differential equations and couples the essential roles of various interventions (including culling, vaccinating, screening, disinfecting, and reducing contact rate, etc). Qualitative analysis indicates that when the recruiting poultry is virus-free, there is a transmission threshold denoted by basic reproduction number which can determine the invasion of H7N9; and there is always a stable H7N9 endemic in case of persistent import of virus-carrying poultry, under which only complete vaccination or cutting off poultry-to-poultry/human contacts can stop H7N9 transmission. By performing numerical analysis of the model with biological background parameters, the intervention outcomes against H7N9 infection are further quantified. It is found that (1) reducing poultry-human/poultry interaction and per-contact infection probability, as well as culling DP, are highly effective in diminishing the infections of humans and DP; (2) the disease is prevented when larger than (1 − 0.1λp) proportion of DP is vaccinated, where λp is the DP-to-DP transmission rate; (3) cleaning and disinfecting environment play limited role in reducing the risk of infection; and (4) screening imported poultry is quite important for stopping disease diffusion, but it works little when local epidemic is prevailing. Combing these measures with real situations would be necessary for controlling H7N9 epidemics and reaching one health purpose.
Collapse
Affiliation(s)
- Xueli Wei
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China
| | - Liying Wang
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China
| | - Qiaojuan Jia
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China
| | - Guanghu Zhu
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin 541004, China
| |
Collapse
|
19
|
Abstract
In early 2013, human infections caused by a novel H7N9 avian influenza virus (AIV) were first reported in China; these infections caused severe disease and death. The virus was initially low pathogenic to poultry, enabling it to spread widely in different provinces, especially in live poultry markets. Importantly, the H7N9 low pathogenic AIVs (LPAIVs) evolved into highly pathogenic AIVs (HPAIVs) in the beginning of 2017, causing a greater threat to human health and devastating losses to the poultry industry. Fortunately, nationwide vaccination of chickens with an H5/H7 bivalent inactivated avian influenza vaccine since September 2017 has successfully controlled H7N9 avian influenza infections in poultry and, importantly, has also prevented human infections. In this review, we summarize the biological properties of the H7N9 viruses, specifically their genetic evolution, adaptation, pathogenesis, receptor binding, transmission, drug resistance, and antigenic variation, as well as the prevention and control measures. The information obtained from investigating and managing the H7N9 viruses could improve our ability to understand other novel AIVs and formulate effective measures to control their threat to humans and animals.
Collapse
Affiliation(s)
- Chengjun Li
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China
| | - Hualan Chen
- State Key Laboratory of Veterinary Biotechnology, Harbin Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Harbin 150069, China
| |
Collapse
|
20
|
Live and Wet Markets: Food Access versus the Risk of Disease Emergence. Trends Microbiol 2021; 29:573-581. [PMID: 33712334 PMCID: PMC9189808 DOI: 10.1016/j.tim.2021.02.007] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/11/2021] [Accepted: 02/15/2021] [Indexed: 12/16/2022]
Abstract
Emerging zoonotic diseases exert a significant burden on human health and have considerable socioeconomic impact worldwide. In Asia, live animals as well as animal products are commonly sold in informal markets. The interaction of humans, live domestic animals for sale, food products, and wild and scavenging animals, creates a risk for emerging infectious diseases. Such markets have been in the spotlight as sources of zoonotic viruses, for example, avian influenza viruses and coronaviruses, Here, we bring data together on the global impact of live and wet markets on the emergence of zoonotic diseases. We discuss how benefits can be maximized and risks minimized and conclude that current regulations should be implemented or revised, to mitigate the risk of new diseases emerging in the future.
Collapse
|
21
|
Zhu G, Kang M, Wei X, Tang T, Liu T, Xiao J, Song T, Ma W. Different intervention strategies toward live poultry markets against avian influenza A (H7N9) virus: Model-based assessment. ENVIRONMENTAL RESEARCH 2021; 198:110465. [PMID: 33220247 DOI: 10.1016/j.envres.2020.110465] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/09/2020] [Revised: 10/12/2020] [Accepted: 11/09/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Different interventions targeting live poultry markets (LPMs) are applied in China for controlling avian influenza A (H7N9), including LPM closure and "1110" policy (i.e., daily cleaning, weekly disinfection, monthly rest day, zero poultry stock overnight). However, the interventions' effectiveness has not been comprehensively assessed. METHODS Based on the available data (including reported cases, domestic poultry volume, and climate) collected in Guangdong Province between October 2013 and June 2017, we developed a new compartmental model that enabled us to infer H7N9 transmission dynamics. The model incorporated the intrinsic interplay among humans and poultry as well as the impacts of absolute humidity and LPM intervention, in which intervention strategies were parameterized and estimated by Markov chain Monte Carlo method. RESULTS There were 258 confirmed human H7N9 cases in Guangdong during the study period. If without interventions, the number would reach 646 (95%CI, 575-718) cases. Temporal, seasonal and permanent closures of LPMs can substantially reduce transmission risk, which might respectively reduce human infections by 67.2% (95%CI, 64.3%-70.1%), 75.6% (95%CI, 73.8%-77.5%), 86.6% (95%CI, 85.7-87.6%) in total four epidemic seasons, and 81.9% (95%CI, 78.7%-85.2%), 91.5% (95%CI, 89.9%-93.1%), 99.0% (95%CI, 98.7%-99.3%) in the last two epidemic seasons. Moreover, implementing the "1110" policy from 2014 to 2017 would reduce the cases by 34.1% (95%CI, 20.1%-48.0%), suggesting its limited role in preventing H7N9 transmission. CONCLUSIONS Our study quantified the effects of different interventions and execution time toward LPMs for controlling H7N9 transmission. The results highlighted the importance of closing LPMs during epidemic period, and supported permanent closure as a long-term plan.
Collapse
Affiliation(s)
- Guanghu Zhu
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, 541004, China; Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Min Kang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Xueli Wei
- School of Mathematics and Computing Science, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Tian Tang
- Guangxi Key Laboratory of Cryptography and Information Security, Guilin University of Electronic Technology, Guilin, 541004, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Tie Song
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China.
| |
Collapse
|
22
|
Chowdhury S, Azziz-Baumgartner E, Kile JC, Hoque MA, Rahman MZ, Hossain ME, Ghosh PK, Ahmed SSU, Kennedy ED, Sturm-Ramirez K, Gurley ES. Association of Biosecurity and Hygiene Practices with Environmental Contamination with Influenza A Viruses in Live Bird Markets, Bangladesh. Emerg Infect Dis 2021; 26:2087-2096. [PMID: 32818393 PMCID: PMC7454050 DOI: 10.3201/eid2609.191029] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
In Bangladesh, live bird market environments are frequently contaminated with avian influenza viruses. Shop-level biosecurity practices might increase risk for environmental contamination. We sought to determine which shop-level biosecurity practices were associated with environmental contamination. We surveyed 800 poultry shops to describe biosecurity practices and collect environmental samples. Samples from 205 (26%) shops were positive for influenza A viral RNA, 108 (14%) for H9, and 60 (8%) for H5. Shops that slaughtered poultry, kept poultry overnight, remained open without rest days, had uneven muddy floors, held poultry on the floor, and housed sick and healthy poultry together were more frequently positive for influenza A viruses. Reported monthly cleaning seemed protective, but disinfection practices were not otherwise associated with influenza A virus detection. Slaughtering, keeping poultry overnight, weekly rest days, infrastructure, and disinfection practices could be targets for interventions to reduce environmental contamination.
Collapse
|
23
|
Song W, Guo J, Ni X, Wu J, Xia W, He F, Wang X, Fan G, Zhou K, Wu Y, Chen S, Chen H. Changes of avian influenza virus subtypes before and after vaccination in live poultry in Nanchang, China from 2016 to 2019. Microbes Infect 2021; 23:104848. [PMID: 34116164 DOI: 10.1016/j.micinf.2021.104848] [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: 03/10/2021] [Revised: 05/21/2021] [Accepted: 05/28/2021] [Indexed: 12/27/2022]
Abstract
We investigated fluctuations in the detection rates of avian influenza virus (AIV) subtypes H5, H7, and H9 in live bird markets (LBMs) in Nanchang city, Chinese province Jiangxi, before and after the Chinese nationwide AIV vaccination campaign against highly pathogenic (HP) AIV subtype H5 and H7. Samples were tested for nucleic acid of type A avian influenza virus by real-time reverse transcription polymerase chain reaction technology. The H5, H7 and H9 subtypes of influenza viruses were further classified for the positive results. Based on the analysis of 2,119 samples collected from February 2016 to December 2019, we found that AIV subtypes H5, H7, H9 showed a seasonal pattern, and the positive rate of avian influenza tended to reach its peak in the colder season. The detection rate of AIV subtypes H5, H7, H9 of chickens (39.26%) was significantly higher than that of ducks (5.78%) and pigeons (4.31%). After vaccination, the positive rates of the H5 subtype (0.27%) and the H7 subtype (0.00%) decreased significantly, while the positive rate of the H9 subtype (29.95%) increased significantly. The H9 subtype has become the dominant subtype detected in live poultry and occupies a dominant position in the live bird market. This study showed that the government of China should establish measures for the long-term control of avian influenza.
Collapse
Affiliation(s)
- Wentao Song
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Jin Guo
- School of Public Health, Nanchang University, Nanchang 330006, PR China
| | - Xiansheng Ni
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Jingwen Wu
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Wen Xia
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Fenglan He
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Xi Wang
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Guoyin Fan
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Kun Zhou
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China
| | - Yuhang Wu
- School of Public Health, Nanchang University, Nanchang 330006, PR China
| | - Shengen Chen
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China.
| | - Haiying Chen
- The Collaboration Unit for Field Epidemiology of State Key Laboratory of Infectious Disease Prevention and Control, Jiangxi Provincial Key Laboratory of Animal-origin and Vector-borne Diseases, Nanchang Center for Disease Control and Prevention. Nanchang 330038, PR China.
| |
Collapse
|
24
|
Bo H, Zhang Y, Dong LB, Dong J, Li XY, Zhao X, Li Z, Shu YL, Wang DY. Distribution of avian influenza viruses according to environmental surveillance during 2014-2018, China. Infect Dis Poverty 2021; 10:60. [PMID: 33957986 PMCID: PMC8101199 DOI: 10.1186/s40249-021-00850-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2021] [Accepted: 04/21/2021] [Indexed: 11/25/2022] Open
Abstract
Background Recurrent infections of animal hosts with avian influenza viruses (AIVs) have posted a persistent threat. It is very important to understand the avian influenza virus distribution and characteristics in environment associated with poultry and wild bird. The aim of this study was to analyze the geographic and seasonal distributions of AIVs in the 31 provinces, municipalities and autonomous region (PMA) of China, compare the AIVs prevalence in different collecting sites and sampling types, analyze the diversity of AIVs subtypes in environment. Methods A total of 742 005 environmental samples were collected from environmental samples related to poultry and wild birds in different locations in the mainland of China during 2014–2018. Viral RNA was extracted from the environmental samples. Real-time RT-PCR assays for influenza A, H5, H7 and H9 subtypes were performed on all the samples to identify subtypes of influenza virus. The nucleic acid of influenza A-positive samples were inoculated into embryonated chicken eggs for virus isolation. Whole-genome sequencing was then performed on Illumina platform. SPSS software was used to paired t test for the statistical analysis. ArcGIS was used for drawing map. Graphpad Prism was used to make graph. Results The nucleic acid positivity rate of influenza A, H5, H7 and H9 subtypes displayed the different characteristics of geographic distribution. The nucleic acid positivity rates of influenza A were particularly high (25.96%–45.51%) in eleven provinces covered the Central, Eastern, Southern, Southwest and Northwest of China. The nucleic acid positivity rates of H5 were significantly high (11.42%–13.79%) in two provinces and one municipality covered the Southwest and Central of China. The nucleic acid positivity rates of H7 were up to 4% in five provinces covered the Eastern and Central of China. The nucleic acid positivity rates of H9 were higher (13.07%–2.07%) in eleven PMA covered the Southern, Eastern, Central, Southwest and Northwest of China. The nucleic acid positivity rate of influenza A, H5, H7 and H9 showed the same seasonality. The highest nucleic acid positivity rates of influenza A, H5, H7, H9 subtypes were detected in December and January and lowest from May to September. Significant higher nucleic acid positivity rate of influenza A, H5, H7 and H9 were detected in samples collected from live poultry markets (LPM) (30.42%, 5.59%, 4.26%, 17.78%) and poultry slaughterhouses (22.96%, 4.2%, 2.08%, 12.63%). Environmental samples that were collected from sewage and chopping boards had significantly higher nucleic acid positivity rates for influenza A (36.58% and 33.1%), H5 (10.22% and 7.29%), H7(4.24% and 5.69%)and H9(21.62% and 18.75%). Multiple subtypes of AIVs including nine hemagglutinin (HA) and seven neuraminidase (NA) subtypes were isolated form the environmental samples. The H5, H7, and H9 subtypes accounted for the majority of AIVs in environment. Conclusions In this study, we found the avian influenza viruses characteristics of geographic distribution, seasonality, location, samples types, proved that multiple subtypes of AIVs continuously coexisted in the environment associated with poultry and wild bird, highlighted the need for environmental surveillance in China. Graphic Abstract ![]()
Supplementary Information The online version contains supplementary material available at 10.1186/s40249-021-00850-3.
Collapse
Affiliation(s)
- Hong Bo
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Ye Zhang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Li-Bo Dong
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Jie Dong
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Xi-Yan Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Xiang Zhao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Zi Li
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China
| | - Yue-Long Shu
- Public Health School (Shenzhen), Sun Yat-Sen University, Guangzhou, China
| | - Da-Yan Wang
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention; WHO Collaborating Center for Reference and Research On Influenza; Key Laboratory for Biosafety, National Health Commission, Beijing, China.
| |
Collapse
|
25
|
Guinat C, Tago D, Corre T, Selinger C, Djidjou-Demasse R, Paul M, Raboisson D, Nguyen Thi Thanh T, Inui K, Pham Thanh L, Padungtod P, Vergne T. Optimizing the early detection of low pathogenic avian influenza H7N9 virus in live bird markets. J R Soc Interface 2021; 18:20210074. [PMID: 33947269 PMCID: PMC8097223 DOI: 10.1098/rsif.2021.0074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
In Southeast Asia, surveillance at live bird markets (LBMs) has been identified as crucial for detecting avian influenza viruses (AIV) and reducing the risk of human infections. However, the design of effective surveillance systems in LBMs remains complex given the rapid turn-over of poultry. We developed a deterministic transmission model to provide guidance for optimizing AIV surveillance efforts. The model was calibrated to fit one of the largest LBMs in northern Vietnam at high risk of low pathogenic H7N9 virus introduction from China to identify the surveillance strategy that optimizes H7N9 detection. Results show that (i) using a portable diagnostic device would slightly reduce the number of infected birds leaving the LBM before the first detection, as compared to a laboratory-based diagnostic strategy, (ii) H7N9 detection could become more timely by sampling birds staying overnight, just before new susceptible birds are introduced at the beginning of a working day, and (iii) banning birds staying overnight would represent an effective intervention to reduce the risk of H7N9 spread but would decrease the likelihood of virus detection if introduced. These strategies should receive high priority in Vietnam and other Asian countries at risk of H7N9 introduction.
Collapse
Affiliation(s)
- Claire Guinat
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | | | | | - Mathilde Paul
- IHAP, Université de Toulouse, INRAE, ENVT, Toulouse, France
| | | | | | - Ken Inui
- FAO, Department of Animal Health (DAH), Ministry of Agriculture and Rural Development (MARD), Hanoi, Vietnam
| | | | | | | |
Collapse
|
26
|
Liu WJ, Xiao H, Dai L, Liu D, Chen J, Qi X, Bi Y, Shi Y, Gao GF, Liu Y. Avian influenza A (H7N9) virus: from low pathogenic to highly pathogenic. Front Med 2021; 15:507-527. [PMID: 33860875 PMCID: PMC8190734 DOI: 10.1007/s11684-020-0814-5] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Accepted: 07/08/2020] [Indexed: 12/13/2022]
Abstract
The avian influenza A (H7N9) virus is a zoonotic virus that is closely associated with live poultry markets. It has caused infections in humans in China since 2013. Five waves of the H7N9 influenza epidemic occurred in China between March 2013 and September 2017. H7N9 with low-pathogenicity dominated in the first four waves, whereas highly pathogenic H7N9 influenza emerged in poultry and spread to humans during the fifth wave, causing wide concern. Specialists and officials from China and other countries responded quickly, controlled the epidemic well thus far, and characterized the virus by using new technologies and surveillance tools that were made possible by their preparedness efforts. Here, we review the characteristics of the H7N9 viruses that were identified while controlling the spread of the disease. It was summarized and discussed from the perspectives of molecular epidemiology, clinical features, virulence and pathogenesis, receptor binding, T-cell responses, monoclonal antibody development, vaccine development, and disease burden. These data provide tools for minimizing the future threat of H7N9 and other emerging and re-emerging viruses, such as SARS-CoV-2.
Collapse
Affiliation(s)
- William J Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, 518114, China.
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China.
| | - Haixia Xiao
- Laboratory of Protein Engineering and Vaccines, Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences (CAS), Tianjin, 300308, China
| | - Lianpan Dai
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
| | - Di Liu
- CAS Key Laboratory of Special Pathogens and Biosafety, Chinese Academy of Sciences, Wuhan, 430071, China
- National Virus Resource Center, Chinese Academy of Sciences, Wuhan, 430071, China
- University of Chinese Academy Sciences, Beijing, 100049, China
- Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing, 100101, China
| | - Jianjun Chen
- CAS Key Laboratory of Special Pathogens and Biosafety, Chinese Academy of Sciences, Wuhan, 430071, China
- National Virus Resource Center, Chinese Academy of Sciences, Wuhan, 430071, China
- University of Chinese Academy Sciences, Beijing, 100049, China
- Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing, 100101, China
| | - Xiaopeng Qi
- Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yuhai Bi
- Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, 518114, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy Sciences, Beijing, 100049, China
- Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing, 100101, China
| | - Yi Shi
- Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, 518114, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- University of Chinese Academy Sciences, Beijing, 100049, China
- Center for Influenza Research and Early Warning, Chinese Academy of Sciences, Beijing, 100101, China
| | - George F Gao
- National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, China
- CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, 100101, China
- Chinese Center for Disease Control and Prevention, Beijing, 102206, China
| | - Yingxia Liu
- Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, 518114, China.
| |
Collapse
|
27
|
Bai R, Sikkema RS, Munnink BBO, Li CR, Wu J, Zou L, Jing Y, Lu J, Yuan RY, Liao M, Koopmans M, Ke CW. Exploring utility of genomic epidemiology to trace origins of highly pathogenic influenza A/H7N9 in Guangdong. Virus Evol 2021; 6:veaa097. [PMID: 33391821 PMCID: PMC7758296 DOI: 10.1093/ve/veaa097] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Abstract
The first highly pathogenic (HP) influenza A/H7N9 was reported in Guangdong in January 2017. To investigate the emergence and spread of HP A/H7N9 in Guangdong province, we sequenced 297 viruses (58 HP A/H7N9, 19 low pathogenic (LP) A/H7N9, and 220 A/H9N2) during 2016–2017. Our analysis showed that during the fifth wave, three A/H7N9 lineages were co-circulating in Guangdong: the local LP Pearl River Delta (PRD) lineage (13%), the newly imported LP Yangtze River Delta (YRD) lineage (23%), and the HP YRD lineage (64%). Previously circulating YRD-lineage LP during the third wave evolved to the YRD-lineage HP A/H7N9 in Guangdong. All YRD-lineage LP detected during the fifth wave most likely originated from newly imported viruses into Guangdong. Genotype comparison of HP A/H7N9 suggests limited outward spread of HP A/H7N9 to other provinces. The distribution of HP A/H7N9 cleavage site variants on live poultry markets differed from that found in humans, suggesting a V1-type cleavage site may facilitate human infections.
Collapse
Affiliation(s)
| | - Reina S Sikkema
- Department of Viroscience, Erasmus University Medical Center, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
| | - Bas B Oude Munnink
- Department of Viroscience, Erasmus University Medical Center, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
| | - Cong Rong Li
- Biosafety Laboratory, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jie Wu
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Lirong Zou
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Yi Jing
- School of Public Health, Southern Medical University, Guangzhou, 510515, China
| | - Jing Lu
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Run Yu Yuan
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| | - Ming Liao
- Biosafety Laboratory, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou, 510080, China
| | - Marion Koopmans
- Department of Viroscience, Erasmus University Medical Center, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
| | - Chang-Wen Ke
- Department of Pathogenic Microbiolgy, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, 511430, China
| |
Collapse
|
28
|
Yi X, Chang Z, Zhao X, Ma Y, Liu F, Xiao X. The temporal characteristics of the lag-response relationship and related key time points between ambient temperature and hand, foot and mouth disease: A multicity study from mainland China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 749:141679. [PMID: 32836135 DOI: 10.1016/j.scitotenv.2020.141679] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 07/26/2020] [Accepted: 08/11/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Previous studies have thoroughly elucidated the exposure-response relationship between ambient temperature and hand, foot, and mouth disease (HFMD), whereas very little concern has been to the lag-response relationship and related key time points. OBJECTIVES We aimed to clarify the temporal characteristics of the lag-response relationship between ambient temperature and HFMD and how they may vary spatially. METHODS We retrieved the daily time series of meteorological variables and HFMD counts for 143 cities in mainland China between 2009 and 2014. We estimated the city-specific lag-response curve between ambient temperature and HFMD and related key time points by applying common distributed lag nonlinear models (DLNM) and Monte Carlo simulation methods. Then, we pooled the city-specific estimates by performing a meta-regression with the city-specific characteristics as meta-predictors to explain the potential spatial heterogeneity. RESULTS We found a robust lag pattern between temperature and HFMD for different levels of temperatures. The temporal change of risk obtained its maximum value on the current day but dropped sharply thereafter and then rebounded to a secondary peak, which implied the presence of a harvesting effect. By contrast, the estimation of key time points showed substantial heterogeneity, especially at high temperature (the I2 statistics ranged from 47% to 80%). With one unit increase in the geographic index, the secondary peak would arrive 0.37 (0.02, 0.71) days later. With one unit increase in the economic index and climatic index, the duration time of the lag-response curve would be lengthened by 0.36 (0.1, 0.62) and 0.92 (0.54, 1.29) days, respectively. CONCLUSION Our study examined the lag pattern and spatial heterogeneity of the lag-response relationship between temperature and HFMD. Those findings gave us new insights into the complex association and the related mechanisms between weather and HFMD and important information for weather-based disease early warning systems.
Collapse
Affiliation(s)
- Xiaowei Yi
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Zhaorui Chang
- Division of Infectious Disease & Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Xing Zhao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Yue Ma
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China
| | - Fengfeng Liu
- Division of Infectious Disease & Key Laboratory of Surveillance and Early Warning on Infectious Disease, Chinese Centre for Disease Control and Prevention, Beijing, China
| | - Xiong Xiao
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China.
| |
Collapse
|
29
|
Hemida MG, Ba Abduallah MM. The SARS-CoV-2 outbreak from a one health perspective. One Health 2020; 10:100127. [PMID: 32292814 PMCID: PMC7102578 DOI: 10.1016/j.onehlt.2020.100127] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2020] [Revised: 03/12/2020] [Accepted: 03/14/2020] [Indexed: 01/04/2023] Open
Abstract
The severe acute respiratory syndrome cornavirus (SARS-CoV-2) is a new human coronavirus candidate recently detected in China that is now reported in people on inhabited continents. The virus shares a high level of identity with some bat coronaviruses and is recognised as a potentially zoonotic virus. We are utilizing the One Health concept to understand the emergence of the virus, as well as to point to some possible control strategies that might reduce the spread of the virus across the globe; thus, containment of such virus would be possible.
Collapse
Affiliation(s)
- Maged Gomaa Hemida
- Department of Microbiology, College of Veterinary Medicine, King Faisal University, Saudi Arabia
- Department of Virology, Faculty of Veterinary Medicine, Kafrelsheikh University, Egypt
| | | |
Collapse
|
30
|
Dominant subtype switch in avian influenza viruses during 2016-2019 in China. Nat Commun 2020; 11:5909. [PMID: 33219213 PMCID: PMC7679419 DOI: 10.1038/s41467-020-19671-3] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 10/20/2020] [Indexed: 02/06/2023] Open
Abstract
We have surveyed avian influenza virus (AIV) genomes from live poultry markets within China since 2014. Here we present a total of 16,091 samples that were collected from May 2016 to February 2019 in 23 provinces and municipalities in China. We identify 2048 AIV-positive samples and perform next generation sequencing. AIV-positive rates (12.73%) from samples had decreased substantially since 2016, compared to that during 2014–2016 (26.90%). Additionally, H9N2 has replaced H5N6 and H7N9 as the dominant AIV subtype in both chickens and ducks. Notably, novel reassortants and variants continually emerged and disseminated in avian populations, including H7N3, H9N9, H9N6 and H5N6 variants. Importantly, almost all of the H9 AIVs and many H7N9 and H6N2 strains prefer human-type receptors, posing an increased risk for human infections. In summary, our nation-wide surveillance highlights substantial changes in the circulation of AIVs since 2016, which greatly impacts the prevention and control of AIVs in China and worldwide. In this study, the authors present a genomic surveillance of avian influenza genomes sampled from live poultry markets in China. They report that a number of variants have emerged since 2016 that pose an increased risk to humans. They highlight the importance of continuous genome surveillance of circulating influenza strains.
Collapse
|
31
|
Dharmayanti NLPI, Hewajuli DA, Ratnawati A, Hartawan R. Genetic diversity of the H5N1 viruses in live bird markets, Indonesia. J Vet Sci 2020; 21:e56. [PMID: 32735094 PMCID: PMC7402941 DOI: 10.4142/jvs.2020.21.e56] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2019] [Revised: 04/15/2020] [Accepted: 04/16/2020] [Indexed: 12/29/2022] Open
Abstract
Background The live bird market (LBM) plays an important role in the dynamic evolution of the avian influenza H5N1 virus. Objectives The main objective of this study was to monitor the genetic diversity of the H5N1 viruses in LBMs in Indonesia. Methods Therefore, the disease surveillance was conducted in the area of Banten, West Java, Central Java, East Java, and Jakarta Province, Indonesia from 2014 to 2019. Subsequently, the genetic characterization of the H5N1 viruses was performed by sequencing all 8 segments of the viral genome. Results As a result, the H5N1 viruses were detected in most of LBMs in both bird' cloacal and environmental samples, in which about 35% of all samples were positive for influenza A and, subsequently, about 52% of these samples were positive for H5 subtyping. Based on the genetic analyses of 14 viruses isolated from LBMs, genetic diversities of the H5N1 viruses were identified including clades 2.1.3 and 2.3.2 as typical predominant groups as well as reassortant viruses between these 2 clades. Conclusions As a consequence, zoonotic transmission to humans in the market could be occurred from the exposure of infected birds and/or contaminated environments. Moreover, new virus variants could emerge from the LBM environment. Therefore, improving pandemic preparedness raised great concerns related to the zoonotic aspect of new influenza variants because of its high adaptivity and efficiency for human infection.
Collapse
Affiliation(s)
| | - Dyah Ayu Hewajuli
- Indonesian Research Center for Veterinary Science, Bogor 16114, Indonesia
| | - Atik Ratnawati
- Indonesian Research Center for Veterinary Science, Bogor 16114, Indonesia
| | - Risza Hartawan
- Indonesian Research Center for Veterinary Science, Bogor 16114, Indonesia.
| |
Collapse
|
32
|
Buonocore M, Marino C, Grimaldi M, Santoro A, Firoznezhad M, Paciello O, Prisco F, D'Ursi AM. New putative animal reservoirs of SARS-CoV-2 in Italian fauna: A bioinformatic approach. Heliyon 2020; 6:e05430. [PMID: 33173837 PMCID: PMC7643666 DOI: 10.1016/j.heliyon.2020.e05430] [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: 07/14/2020] [Revised: 10/10/2020] [Accepted: 10/30/2020] [Indexed: 12/23/2022] Open
Abstract
SARS-CoV-2 is a virus belonging to the betacoronavirus family, causing fatal respiratory disease in humans, which became pandemic in 2020. Italy is one of the most affected countries by COVID-19, particularly in the northern regions. Several studies consider COVID-19 a zoonotic disease and, since Italy is the repository of a high biodiversity, SARS-CoV-2 infection in animals can be considered as a reservoir of the virus or favor the spreading between animals and humans. In this work, we analyzed the amino acid sequences of ACE2 protein of the most common domestic and wild animals present in Italy. Among the latter, we focused on ACE2 of the Chiroptera species present in Italy to identify the primary reservoir in this region. First, we reproduced in silico the Chiroptera ACE2/viral spike (S) protein interactions on the human ACE2/SARS-CoV-2 S complex model and identified the critical residues for the binding. In silico molecular docking of ACE2 belonging to Chiroptera vs SARS-CoV-2 S protein pointed to Rhinolophus ferrumequinum as a bat living in Italy, that may be a potential primary reservoir of the virus. On the other hand, a sequence similarity search on ACE2 of domestic and wild animals living in Italy pointed to domestic (horses, cats, cattle and sheep) and wild (European rabbits and grizzly bears) animal species as potential SARS-CoV-2 secondary reservoirs. Molecular docking of ACE2 belonging to these species vs S protein of Bat coronavirus (Bt-CoV/Rp3/2004) suggests that the primary reservoir Rhinolophus ferrumequinum may infect the secondary reservoirs, domestic and worldwide animals living in Italy, determining a specific risk of SARS-CoV-2 infection.
Collapse
Affiliation(s)
- Michela Buonocore
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084 Fisciano, Salerno, Italy
| | - Carmen Marino
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084 Fisciano, Salerno, Italy
| | - Manuela Grimaldi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084 Fisciano, Salerno, Italy
| | - Angelo Santoro
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084 Fisciano, Salerno, Italy
| | - Mohammad Firoznezhad
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084 Fisciano, Salerno, Italy
| | - Orlando Paciello
- Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy
| | - Francesco Prisco
- Department of Veterinary Medicine and Animal Production, University of Naples Federico II, Naples, Italy
| | - Anna Maria D'Ursi
- Department of Pharmacy, University of Salerno, Via Giovanni Paolo II, 132 - 84084 Fisciano, Salerno, Italy
| |
Collapse
|
33
|
Boni MF, Lemey P, Jiang X, Lam TTY, Perry BW, Castoe TA, Rambaut A, Robertson DL. Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic. Nat Microbiol 2020; 5:1408-1417. [PMID: 32724171 DOI: 10.1101/2020.03.30.015008] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 07/10/2020] [Indexed: 05/22/2023]
Abstract
There are outstanding evolutionary questions on the recent emergence of human coronavirus SARS-CoV-2 including the role of reservoir species, the role of recombination and its time of divergence from animal viruses. We find that the sarbecoviruses-the viral subgenus containing SARS-CoV and SARS-CoV-2-undergo frequent recombination and exhibit spatially structured genetic diversity on a regional scale in China. SARS-CoV-2 itself is not a recombinant of any sarbecoviruses detected to date, and its receptor-binding motif, important for specificity to human ACE2 receptors, appears to be an ancestral trait shared with bat viruses and not one acquired recently via recombination. To employ phylogenetic dating methods, recombinant regions of a 68-genome sarbecovirus alignment were removed with three independent methods. Bayesian evolutionary rate and divergence date estimates were shown to be consistent for these three approaches and for two different prior specifications of evolutionary rates based on HCoV-OC43 and MERS-CoV. Divergence dates between SARS-CoV-2 and the bat sarbecovirus reservoir were estimated as 1948 (95% highest posterior density (HPD): 1879-1999), 1969 (95% HPD: 1930-2000) and 1982 (95% HPD: 1948-2009), indicating that the lineage giving rise to SARS-CoV-2 has been circulating unnoticed in bats for decades.
Collapse
Affiliation(s)
- Maciej F Boni
- Center for Infectious Disease Dynamics, Department of Biology, Pennsylvania State University, University Park, PA, USA.
| | - Philippe Lemey
- Department of Microbiology, Immunology and Transplantation, KU Leuven, Rega Institute, Leuven, Belgium.
| | - Xiaowei Jiang
- Department of Biological Sciences, Xi'an Jiaotong-Liverpool University, Suzhou, China
| | - Tommy Tsan-Yuk Lam
- State Key Laboratory of Emerging Infectious Diseases, School of Public Health, The University of Hong Kong, Hong Kong SAR, China
| | - Blair W Perry
- Department of Biology, University of Texas Arlington, Arlington, TX, USA
| | - Todd A Castoe
- Department of Biology, University of Texas Arlington, Arlington, TX, USA
| | - Andrew Rambaut
- Institute of Evolutionary Biology, University of Edinburgh, Edinburgh, UK.
| | | |
Collapse
|
34
|
Mummah RO, Hoff NA, Rimoin AW, Lloyd-Smith JO. Controlling emerging zoonoses at the animal-human interface. ONE HEALTH OUTLOOK 2020; 2:17. [PMID: 33073176 PMCID: PMC7550773 DOI: 10.1186/s42522-020-00024-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2020] [Accepted: 07/09/2020] [Indexed: 05/21/2023]
Abstract
BACKGROUND For many emerging or re-emerging pathogens, cases in humans arise from a mixture of introductions (via zoonotic spillover from animal reservoirs or geographic spillover from endemic regions) and secondary human-to-human transmission. Interventions aiming to reduce incidence of these infections can be focused on preventing spillover or reducing human-to-human transmission, or sometimes both at once, and typically are governed by resource constraints that require policymakers to make choices. Despite increasing emphasis on using mathematical models to inform disease control policies, little attention has been paid to guiding rational disease control at the animal-human interface. METHODS We introduce a modeling framework to analyze the impacts of different disease control policies, focusing on pathogens exhibiting subcritical transmission among humans (i.e. pathogens that cannot establish sustained human-to-human transmission). We quantify the relative effectiveness of measures to reduce spillover (e.g. reducing contact with animal hosts), human-to-human transmission (e.g. case isolation), or both at once (e.g. vaccination), across a range of epidemiological contexts. RESULTS We provide guidelines for choosing which mode of control to prioritize in different epidemiological scenarios and considering different levels of resource and relative costs. We contextualize our analysis with current zoonotic pathogens and other subcritical pathogens, such as post-elimination measles, and control policies that have been applied. CONCLUSIONS Our work provides a model-based, theoretical foundation to understand and guide policy for subcritical zoonoses, integrating across disciplinary and species boundaries in a manner consistent with One Health principles.
Collapse
Affiliation(s)
- Riley O. Mummah
- Department of Ecology and Evolutionary Biology, University of California, 610 Charles E Young Dr S, Los Angeles, CA 90095 USA
- Department of Epidemiology, University of California, Los Angeles, CA 90095 USA
| | - Nicole A. Hoff
- Department of Epidemiology, University of California, Los Angeles, CA 90095 USA
| | - Anne W. Rimoin
- Department of Epidemiology, University of California, Los Angeles, CA 90095 USA
| | - James O. Lloyd-Smith
- Department of Ecology and Evolutionary Biology, University of California, 610 Charles E Young Dr S, Los Angeles, CA 90095 USA
- Fogarty International Center, National Institutes of Health, Bethesda, MD 20892 USA
| |
Collapse
|
35
|
Chen LL, Huo X, Qi X, Liu C, Huang H, Yu H, Dong Z, Deng F, Peng J, Hang H, Wang S, Fan H, Pang Y, Bao C. A fatal paediatric case infected with reassortant avian influenza A(H5N6) virus in Eastern China. Transbound Emerg Dis 2020; 67:2118-2125. [PMID: 32248624 DOI: 10.1111/tbed.13561] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/16/2019] [Revised: 03/04/2020] [Accepted: 03/04/2020] [Indexed: 12/18/2022]
Abstract
Avian influenza A(H5N6) keeps evolving, causing outbreaks in birds and sporadic infections in human. Here, we report a fatal paediatric infection caused by a novel reassortant H5N6 virus. The patient was an obese 9-year-old girl. She initiated with fever and cough, then developed pneumonia, acute respiratory distress syndrome (ARDS) and respiratory failure. Lower respiratory tract aspirates and anal swabs were serially taken till the patient's death. Viral isolation, genome sequencing and phylogenetic analysis were conducted. A novel reassortant H5N6 virus was isolated from the patient. Except the PA gene, all other 7 genes of the virus belonged to H5N6 genotype A (S4-like virus). The PA gene was probably obtained from Eurasian waterfowl influenza viruses. The H5N6 virus was consistently detected from the patient's respiratory samples till the 17th day after symptom onset, but not from anal swabs or urine sample by real-time reverse transcription polymerase chain reaction (RT-PCR). Significantly elevated (32-fold) serum antibodies to H5N6 virus were observed during the patient's course of disease. Aside from the identified novel reassortant H5N6 viral strain, obesity, delayed confirmation of aetiology and specific antiviral treatment, and prolonged virus shedding could have contributed to the poor clinical outcome.
Collapse
Affiliation(s)
- Li-Ling Chen
- Department of Acute Infectious Diseases, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Xiang Huo
- Section of Epidemiology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Xian Qi
- Section of Virology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Cheng Liu
- Department of Acute Infectious Diseases, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Haodi Huang
- Section of Epidemiology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Huiyan Yu
- Section of Virology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Zefeng Dong
- Department of Acute Infectious Diseases, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Fei Deng
- Section of Virology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Jiefu Peng
- Section of Virology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Hui Hang
- Department of Acute Infectious Diseases, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Shenjiao Wang
- Section of Virology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Huan Fan
- Section of Virology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
| | - Yuanyuan Pang
- Department of Acute Infectious Diseases, Suzhou Center for Disease Control and Prevention, Suzhou, China
| | - Changjun Bao
- Section of Epidemiology, Department of Acute Infectious Diseases, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China
- National Health Commission Key laboratory of Enteric Pathogenic Microbiology, Nanjing, China
| |
Collapse
|
36
|
Shan X, Wang Y, Song R, Wei W, Liao H, Huang H, Xu C, Chen L, Li S. Spatial and temporal clusters of avian influenza a (H7N9) virus in humans across five epidemics in mainland China: an epidemiological study of laboratory-confirmed cases. BMC Infect Dis 2020; 20:630. [PMID: 32842978 PMCID: PMC7449057 DOI: 10.1186/s12879-020-05345-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2019] [Accepted: 08/13/2020] [Indexed: 12/31/2022] Open
Abstract
Background Avian influenza A (H7N9) virus was first reported in mainland China in 2013, and alarming in 2016–17 due to the surge across a wide geographic area. Our study aimed to identify and explore the spatial and temporal variation across five epidemics to reinforce the epidemic prevention and control. Methods We collected spatial and temporal information about all laboratory-confirmed human cases of A (H7N9) virus infection reported in mainland China covering 2013–17 from the open source. The autocorrelation analysis and intensity of cases were used to analyse the spatial cluster while circular distribution method was used to analyse the temporal cluster. Results Across the five epidemics, a total of 1553 laboratory-confirmed human cases with A (H7N9) virus were reported in mainland China. The global Moran’s I index values of five epidemic were 0.610, 0.132, 0.308, 0.306, 0.336 respectively, among which the differences were statistically significant. The highest intensity was present in the Yangtze River Delta region and the Pearl River Delta region, and the range enlarged from the east of China to inner provinces and even the west of China across the five epidemics. The temporal clusters of the five epidemics were statistically significant, and the peak period was from the end of January to April with the first and the fifth epidemic later than the mean peak period. Conclusions Spatial and temporal clusters of avian influenza A (H7N9) virus in humans are obvious, moreover the regions existing clusters may enlarge across the five epidemics. Yangtze River Delta region and the Pearl River Delta region have the spatial cluster and the peak period is from January to April. The government should facilitate the tangible improvement for the epidemic preparedness according to the characteristics of spatial and temporal clusters of patients with avian influenza A (H7N9) virus.
Collapse
Affiliation(s)
- Xuzheng Shan
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China.,Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Yongqin Wang
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Ruihong Song
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Wen Wei
- Department of Epidemiology and Biostatistics, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, Sichuan, China
| | - Hongxiu Liao
- Transaction Management and Information Department, Panzhihua City Center for Disease Control and Prevention, Panzhihua, Sichuan, China
| | - Huang Huang
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Chunqiong Xu
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Lvlin Chen
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China
| | - Shiyun Li
- Prevention and Health Section, Affiliated Hospital, Chengdu University, Chengdu, Sichuan, China.
| |
Collapse
|
37
|
Boni MF, Lemey P, Jiang X, Lam TTY, Perry BW, Castoe TA, Rambaut A, Robertson DL. Evolutionary origins of the SARS-CoV-2 sarbecovirus lineage responsible for the COVID-19 pandemic. Nat Microbiol 2020; 5:1408-1417. [DOI: 10.1038/s41564-020-0771-4] [Citation(s) in RCA: 568] [Impact Index Per Article: 142.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Accepted: 07/10/2020] [Indexed: 02/07/2023]
|
38
|
Zhou X, Gao L, Wang Y, Li Y, Zhang Y, Shen C, Liu A, Yu Q, Zhang W, Pekin A, Guo F, Smith C, Clements ACA, Edwards J, Huang B, Soares Magalhães RJ. Geographical variation in the risk of H7N9 human infections in China: implications for risk-based surveillance. Sci Rep 2020; 10:10372. [PMID: 32587266 PMCID: PMC7316858 DOI: 10.1038/s41598-020-66359-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2019] [Accepted: 04/23/2020] [Indexed: 11/09/2022] Open
Abstract
The influenza A (H7N9) subtype remains a public health problem in China affecting individuals in contact with live poultry, particularly at live bird markets. Despite enhanced surveillance and biosecurity at LBMs H7N9 viruses are now more widespread in China. This study aims to quantify the temporal relationship between poultry surveillance results and the onset of human H7N9 infections during 2013-2017 and to estimate risk factors associated with geographical risk of H7N9 human infections in counties in Southeast China. Our results suggest that poultry surveillance data can potentially be used as early warning indicators for human H7N9 notifications. Furthermore, we found that human H7N9 incidence at county-level was significantly associated with the presence of wholesale LBMs, the density of retail LBMs, the presence of poultry virological positives, poultry movements from high-risk areas, as well as chicken population density and human population density. The results of this study can influence the current AI H7N9 control program by supporting the integration of poultry surveillance data with human H7N9 notifications as an early warning of the timing and areas at risk for human infection. The findings also highlight areas in China where monitoring of poultry movement and poultry infections could be prioritized.
Collapse
Affiliation(s)
- Xiaoyan Zhou
- School of Veterinary Science, The University of Queensland, Brisbane, Australia.
| | - Lu Gao
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China
| | - Youming Wang
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China
| | - Yin Li
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China.,School of Veterinary and Biomedical Sciences, Murdoch University, Perth, Australia
| | - Yi Zhang
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China
| | - Chaojian Shen
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China
| | - Ailing Liu
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China
| | - Qi Yu
- Beijing Center for Animal Disease Prevention and Control, Beijing, PR China
| | - Wenyi Zhang
- Institute of Disease Control and Prevention, Academy of Military Medical Science, Beijing, PR China
| | - Alexander Pekin
- School of Veterinary Science, The University of Queensland, Brisbane, Australia
| | - Fusheng Guo
- Food and Agriculture Organization of the United Nations (FAO), Bangkok, Thailand
| | - Carl Smith
- School of Business, The University of Queensland, Brisbane, Australia
| | - Archie C A Clements
- Faculty of Health Sciences, Curtin University, Perth, Australia.,Telethon Kids Institute, Perth, Australia
| | - John Edwards
- School of Veterinary Science, The University of Queensland, Brisbane, Australia.,China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China.,School of Veterinary and Biomedical Sciences, Murdoch University, Perth, Australia
| | - Baoxu Huang
- China Animal Health and Epidemiology Centre, Ministry of Agriculture and Rural Affairs, Qingdao, PR China.
| | - Ricardo J Soares Magalhães
- School of Veterinary Science, The University of Queensland, Brisbane, Australia.,Child Health Research Centre, The University of Queensland, Brisbane, Australia
| |
Collapse
|
39
|
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.
Collapse
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.
| |
Collapse
|
40
|
Wang W, Artois J, Wang X, Kucharski AJ, Pei Y, Tong X, Virlogeux V, Wu P, Cowling BJ, Gilbert M, Yu H. Effectiveness of Live Poultry Market Interventions on Human Infection with Avian Influenza A(H7N9) Virus, China. Emerg Infect Dis 2020; 26:891-901. [PMID: 32141425 PMCID: PMC7181931 DOI: 10.3201/eid2605.190390] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Various interventions for live poultry markets (LPMs) have emerged to control outbreaks of avian influenza A(H7N9) virus in mainland China since March 2013. We assessed the effectiveness of various LPM interventions in reducing transmission of H7N9 virus across 5 annual waves during 2013-2018, especially in the final wave. With the exception of waves 1 and 4, various LPM interventions reduced daily incidence rates significantly across waves. Four LPM interventions led to a mean reduction of 34%-98% in the daily number of infections in wave 5. Of these, permanent closure provided the most effective reduction in human infection with H7N9 virus, followed by long-period, short-period, and recursive closures in wave 5. The effectiveness of various LPM interventions changed with the type of intervention across epidemics. Permanent LPM closure should be considered to maintain sufficient effectiveness of interventions and prevent the recurrence of H7N9 epidemics.
Collapse
|
41
|
Abstract
In 1918, a strain of influenza A virus caused a human pandemic resulting in the deaths of 50 million people. A century later, with the advent of sequencing technology and corresponding phylogenetic methods, we know much more about the origins, evolution and epidemiology of influenza epidemics. Here we review the history of avian influenza viruses through the lens of their genetic makeup: from their relationship to human pandemic viruses, starting with the 1918 H1N1 strain, through to the highly pathogenic epidemics in birds and zoonoses up to 2018. We describe the genesis of novel influenza A virus strains by reassortment and evolution in wild and domestic bird populations, as well as the role of wild bird migration in their long-range spread. The emergence of highly pathogenic avian influenza viruses, and the zoonotic incursions of avian H5 and H7 viruses into humans over the last couple of decades are also described. The threat of a new avian influenza virus causing a human pandemic is still present today, although control in domestic avian populations can minimize the risk to human health. This article is part of the theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: approaches and important themes’. This issue is linked with the subsequent theme issue ‘Modelling infectious disease outbreaks in humans, animals and plants: epidemic forecasting and control’.
Collapse
Affiliation(s)
| | | | - Paul Digard
- The Roslin Institute, University of Edinburgh , Edinburgh , UK
| |
Collapse
|
42
|
Philippon DAM, Wu P, Cowling BJ, Lau EHY. Avian Influenza Human Infections at the Human-Animal Interface. J Infect Dis 2020; 222:528-537. [DOI: 10.1093/infdis/jiaa105] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Accepted: 03/04/2020] [Indexed: 11/13/2022] Open
Abstract
Abstract
Background
Avian influenza A viruses (AIVs) are among the most concerning emerging and re-emerging pathogens because of the potential risk for causing an influenza pandemic with catastrophic impact. The recent increase in domestic animals and poultry worldwide was followed by an increase of human AIV outbreaks reported.
Methods
We reviewed the epidemiology of human infections with AIV from the literature including reports from the World Health Organization, extracting information on virus subtype, time, location, age, sex, outcome, and exposure.
Results
We described the characteristics of more than 2500 laboratory-confirmed human infections with AIVs. Human infections with H5N1 and H7N9 were more frequently reported than other subtypes. Risk of death was highest among reported cases infected with H5N1, H5N6, H7N9, and H10N8 infections. Older people and males tended to have a lower risk of infection with most AIV subtypes, except for H7N9. Visiting live poultry markets was mostly reported by H7N9, H5N6, and H10N8 cases, while exposure to sick or dead bird was mostly reported by H5N1, H7N2, H7N3, H7N4, H7N7, and H10N7 cases.
Conclusions
Understanding the profile of human cases of different AIV subtypes would guide control strategies. Continued monitoring of human infections with AIVs is essential for pandemic preparedness.
Collapse
Affiliation(s)
- Damien A M Philippon
- 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, China
| | - 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, 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, China
| | - Eric H Y Lau
- 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, China
| |
Collapse
|
43
|
Liu S, Zhuang Q, Wang S, Jiang W, Jin J, Peng C, Hou G, Li J, Yu J, Yu X, Liu H, Sun S, Yuan L, Chen J. Control of avian influenza in China: Strategies and lessons. Transbound Emerg Dis 2020; 67:1463-1471. [PMID: 32065513 DOI: 10.1111/tbed.13515] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Revised: 01/13/2020] [Accepted: 02/13/2020] [Indexed: 11/30/2022]
Abstract
In recent decades, multiple subtypes (i.e. H9N2, H5N1 and H7N9) of avian influenza virus (AIV) have become widespread in China, which has caused enormous economic losses and posed considerable threats to public health. In this review, with the aim to provide insights into and guidelines for the control of AIV spread in China and globally in the future, we analysed the reasons why AIV has persisted in China based on socio-economic features, including poultry biosecurity, live bird markets, live bird transportation, wild birds, poultry waterfowl, poultry density, poultry population and infected birds. We also described the present status of the AIV subtypes H9, H5 and H7 in China to elucidate the effectiveness of the strategies currently employed in China (i.e. culling, mass vaccination and biosecurity improvement) to control the disease based on a literature review and our unpublished surveillance data collected over a 12-year period from 2007 to 2018. We then summarized the lessons to be learned from the control experience in China, including whether culling of infected birds is of limited value for disease control and whether improved biosecurity is a better option than culling and vaccination for the long-term control of AIV, and when the vaccine strain should be updated.
Collapse
Affiliation(s)
- Shuo Liu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Qingye Zhuang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Suchun Wang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Wenming Jiang
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Jihui Jin
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Cheng Peng
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Guangyu Hou
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Jinping Li
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Jianmin Yu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Xiaohui Yu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Hualei Liu
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Shufang Sun
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Liping Yuan
- China Animal Health and Epidemiology Center, Qingdao, China
| | - Jiming Chen
- China Animal Health and Epidemiology Center, Qingdao, China
| |
Collapse
|
44
|
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.
Collapse
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
| |
Collapse
|
45
|
Wu X, Xiao L, Li L. Research progress on human infection with avian influenza H7N9. Front Med 2020; 14:8-20. [PMID: 31989396 PMCID: PMC7101792 DOI: 10.1007/s11684-020-0739-z] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2019] [Accepted: 11/28/2019] [Indexed: 11/28/2022]
Abstract
Since the first case of novel H7N9 infection was reported, China has experienced five epidemics of H7N9. During the fifth wave, a highly pathogenic H7N9 strain emerged. Meanwhile, the H7N9 virus continues to accumulate mutations, and its affinity for the human respiratory epithelial sialic acid 2–6 receptor has increased. Therefore, a pandemic is still possible. In the past 6 years, we have accumulated rich experience in dealing with H7N9, especially in terms of virus tracing, epidemiological research, key site mutation monitoring, critical disease mechanisms, clinical treatment, and vaccine development. In the research fields above, significant progress has been made to effectively control the spread of the epidemic and reduce the fatality rate. To fully document the research progress concerning H7N9, we reviewed the clinical and epidemiological characteristics of H7N9, the key gene mutations of the virus, and H7N9 vaccine, thus providing a scientific basis for further monitoring and prevention of H7N9 influenza epidemics.
Collapse
Affiliation(s)
- Xiaoxin Wu
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Lanlan Xiao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China
| | - Lanjuan Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, 310003, China.
| |
Collapse
|
46
|
Nirmala J, Bender JB, Lynfield R, Yang M, Rene Culhane M, Nelson MI, Sreevatsan S, Torremorell M. Genetic diversity of influenza A viruses circulating in pigs between winter and summer in a Minnesota live animal market. Zoonoses Public Health 2019; 67:243-250. [PMID: 31868300 DOI: 10.1111/zph.12679] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 10/07/2019] [Accepted: 11/19/2019] [Indexed: 11/26/2022]
Abstract
There has been little surveillance of influenza A viruses (IAVs) circulating in swine at live animal markets, particularly in the United States. To address this gap, we conducted active surveillance of IAVs in pigs, the air, and the environment during a summer and winter season in a live animal market in St. Paul, Minnesota, that had been epidemiologically associated with swine-origin influenza cases in humans previously. High rates of IAV were detected by PCR in swine lungs and oral fluids during both summer and winter seasons. Rates of IAV detection by PCR in the air were similar during summer and winter, although rates of successful virus isolation in the air were lower during summer than in winter (26% and 67%, respectively). H3N2 was the most prevalent subtype in both seasons, followed by H1N2. Genetically diverse viruses with multiple gene constellations were isolated from both winter and summer, with a total of 19 distinct genotypes identified. Comparative phylogenetic analysis of all eight segments of 40 virus isolates from summer and 122 isolates from winter revealed that the summer and winter isolates were genetically distinct, indicating IAVs are not maintained in the market, but rather are re-introduced, likely from commercial swine. These findings highlight the extent of IAV genetic diversity circulating in swine in live animal markets, even during summer months, and the ongoing risk to humans.
Collapse
Affiliation(s)
- Jayaveeramuthu Nirmala
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Jeff B Bender
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA.,School of Public Health, Environmental Health Sciences, University of Minnesota, Minneapolis, MN, USA
| | - Ruth Lynfield
- Minnesota State Health Department, St. Paul, MN, USA
| | - My Yang
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Marie Rene Culhane
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| | - Martha Irene Nelson
- Fogarty International Center, National Institutes of Health, Bethesda, MD, USA
| | - Srinand Sreevatsan
- Department of Pathobiology and Diagnostic Investigation, Michigan State University, East Lansing, MI, USA
| | - Montserrat Torremorell
- Veterinary Population Medicine Department, College of Veterinary Medicine, University of Minnesota, St. Paul, MN, USA
| |
Collapse
|
47
|
Wen X, Sun S, Li L, He Q, Tsai FS. Avian Influenza-Factors Affecting Consumers' Purchase Intentions toward Poultry Products. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E4139. [PMID: 31661764 PMCID: PMC6862125 DOI: 10.3390/ijerph16214139] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/31/2019] [Revised: 09/29/2019] [Accepted: 10/18/2019] [Indexed: 12/26/2022]
Abstract
Recently, continuing outbreaks of avian influenza in China have not only caused great loss to the agricultural sector but also brought fear and distrust to consumers, seriously undermining consumer confidence in chicken products. We investigated consumers' purchase intentions during avian influenza outbreaks by examining a regionally representative sample of 330 consumers in Guangzhou. With respect to 7 kinds of attributes, the ordered logit analysis indicated that possible health threat and uncertainty of the origin of poultry products may cause concern among consumers and cause them to avoid purchasing chicken products. Media reports have a great influence on consumers' intentions to purchase chicken products during avian influenza outbreaks. Overall, this study suggests establishing an effective mechanism of public knowledge (of chicken products' safety and quality) enhancement, in order to curb misleading media reports during avian influenza outbreaks.
Collapse
Affiliation(s)
- Xiaowei Wen
- College of Economics and Management, South China Agricultural University, Guangzhou 510642, China.
| | - Sangluo Sun
- College of Economics and Management, South China Agricultural University, Guangzhou 510642, China.
| | - Lin Li
- Youth Volunteers' Guidance Center of Guangzhou, Guangzhou 510642, China.
| | - Qinying He
- College of Economics and Management, South China Agricultural University, Guangzhou 510642, China.
| | - Fu-Sheng Tsai
- Department of Business Administration, Cheng Shiu University, Kaohsiung 83347, Taiwan.
- Center for Environmental Toxin and Emerging-Contaminant Research, Cheng Shiu University, Kaohsiung 83347, Taiwan.
- Super Micro Mass Research and Technology Center, Cheng Shiu University; Kaohsiung 83347, Taiwan.
| |
Collapse
|
48
|
Cui B, Wang F, Wang LDL, Pan C, Ke J, Tian Y. A Comparative Analysis of Risk Perception and Coping Behaviors among Chinese Poultry Farmers Regarding Human and Poultry Infection with Avian Influenza. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:ijerph16203832. [PMID: 31614454 PMCID: PMC6843141 DOI: 10.3390/ijerph16203832] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/18/2019] [Revised: 09/28/2019] [Accepted: 10/02/2019] [Indexed: 01/03/2023]
Abstract
Poultry farmers face a dual risk when mutant avian influenza (AI) virus exhibits zoonotic characteristics. A/H5N1 and A/H7N9 are two principal strains of the AI virus that have captured public attention in recent years, as they have both been reported and can infect poultry and humans, respectively. Previous studies have focused either on poultry farmers’ risk perception and biosecurity preventive behaviors (BPBs) against A/H5N1 infection with poultry, or on their risk perception and personal protective behaviors (PPBs) against human infection with A/H7N9, even though these two strains often appear simultaneously. To bridge this research gap, a survey (N = 426) was conducted in the Chinese provinces of Jiangsu and Anhui to assess risk perception and coping behaviors adopted by poultry farmers facing the dual risk of these two viral strains. Paired sample t-tests revealed that farmers’ perceived risk of poultry infection with A/H5N1 was significantly higher than their perceived risk of human infection with A/H7N9, and that their reported frequency of BPBs against A/H5N1 was significantly higher than the frequency of PPBs against A/H7N9. Moreover, farmers were less familiar with AI infection in human beings compared to that in poultry, but they felt a higher sense of control regarding human AI infection. Multivariate regression analyses showed that farm size and perceived risks of both human and poultry infection with AI were positively associated with BPBs and PPBs. The findings of this research suggest that a campaign to spread knowledge about human AI infection among poultry farmers is needed, and that a policy incentive to encourage large-scale poultry farming could be effective in improving implementation of BPBs and PPBs.
Collapse
Affiliation(s)
- Bin Cui
- Business College of Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
- Key Laboratory of Prevention and Control of Biological Hazard Factors (Animal Origin) for Agrifood Safety and Quality, Ministry of Agriculture of China, Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
| | - Feifei Wang
- Business College of Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
| | - Linda Dong-Ling Wang
- Institute of Translational Medicine, Medical College, Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
- Jiangsu Key Laboratory of Experimental & Translational Non-Coding RNA Research, Yangzhou 225001, Jiangsu Province, China.
| | - Chengyun Pan
- Business College of Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
| | - Jun Ke
- Business College of Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
| | - Yi Tian
- Business College of Yangzhou University, Yangzhou 225001, Jiangsu Province, China.
| |
Collapse
|
49
|
Effect of closure of live poultry markets in China on prevention and control of human infection with H7N9 avian influenza: a case study of four cities in Jiangsu Province. J Public Health Policy 2019; 40:436-447. [PMID: 31527787 DOI: 10.1057/s41271-019-00185-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
As of August 2017, China had encountered five seasonal epidemics of H7N9 avian influenza. To prevent people from contracting H7N9 avian influenza, most cities closed live poultry markets (LPMs) to cut off the source of H7N9 virus. The objective of this study is to assess the impact of LPMs closure on reducing zoonotic transmission of avian influenza A (H7N9) virus and to make specific recommendations on the duration of closing the LPMs. Results show that the closure of LPMs can effectively control the spread of H7N9 avian influenza and reduce the incidence of human infection with H7N9. If cases of H7N9 avian influenza continue to occur, LPMs should close for at least 3-4 weeks in susceptible areas to control the spread of infection.
Collapse
|
50
|
Karo-Karo D, Bodewes R, Wibawa H, Artika M, Pribadi ES, Diyantoro D, Pratomo W, Sugama A, Hendrayani N, Indasari I, Wibowo MH, Muljono DH, Stegeman JA, Koch G. Reassortments among Avian Influenza A(H5N1) Viruses Circulating in Indonesia, 2015-2016. Emerg Infect Dis 2019; 25:465-472. [PMID: 30789142 PMCID: PMC6390736 DOI: 10.3201/eid2503.180167] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Highly pathogenic avian influenza (HPAI) A(H5N1) viruses have been circulating since 2003 in Indonesia, with major impacts on poultry health, severe economic losses, and 168 fatal laboratory-confirmed human cases. We performed phylogenetic analysis on 39 full-genome H5N1 virus samples collected during outbreaks among poultry in 2015-2016 in West Java and compared them with recently published sequences from Indonesia. Phylogenetic analysis revealed that the hemagglutinin gene of all samples belonged to 2 genetic groups in clade 2.3.2.1c. We also observed these groups for the neuraminidase, nucleoprotein, polymerase, and polymerase basic 1 genes. Matrix, nonstructural protein, and polymerase basic 2 genes of some HPAI were most closely related to clade 2.1.3 instead of clade 2.3.2.1c, and a polymerase basic 2 gene was most closely related to Eurasian low pathogenicity avian influenza. Our results detected a total of 13 reassortment types among HPAI in Indonesia, mostly in backyard chickens in Indramayu.
Collapse
|