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1000 Titel
  • A qualitative study of zoonotic risk factors among rural communities in southern China
1000 Autor/in
  1. Li, Hong-Ying |
  2. Zhu, Guang-Jian |
  3. Zhang, Yun-Zhi |
  4. Zhang, Li-Biao |
  5. Hagan, Emily A. |
  6. Martinez, Stephanie |
  7. Chmura, Aleksei A. |
  8. Francisco, Leilani |
  9. Tai, Hina |
  10. Miller, Maureen |
  11. Daszak, Peter |
1000 Erscheinungsjahr 2020
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2020-02-10
1000 Erschienen in
1000 Quellenangabe
  • 12(2):77-85
1000 Copyrightjahr
  • 2020
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1093/inthealth/ihaa001 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7017878/ |
1000 Ergänzendes Material
  • https://academic.oup.com/inthealth/article/12/2/77/5732900#supplementary-data |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Strategies are urgently needed to mitigate the risk of zoonotic disease emergence in southern China, where pathogens with zoonotic potential are known to circulate in wild animal populations. However, the risk factors leading to emergence are poorly understood, which presents a challenge in developing appropriate mitigation strategies for local communities.Residents in rural communities of Yunnan, Guangxi and Guangdong provinces were recruited and enrolled in this study. Data were collected through ethnographic interviews and field observations, and thematically coded and analysed to identify both risk and protective factors for zoonotic disease emergence at the individual, community and policy levels.Eighty-eight ethnographic interviews and 55 field observations were conducted at nine selected sites. Frequent human–animal interactions and low levels of environmental biosecurity in local communities were identified as risks for zoonotic disease emergence. Policies and programmes existing in the communities provide opportunities for zoonotic risk mitigation.This study explored the relationship among zoonotic risk and human behaviour, environment and policies in rural communities in southern China. It identifies key behavioural risk factors that can be targeted for development of tailored risk-mitigation strategies to reduce the threat of novel zoonoses.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Zoonotic Risk
lokal ethnographic
lokal 2019-nCoV
lokal qualitative
lokal SARS
lokal southern China
lokal Coronavirus
lokal rural communities
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/TGksIEhvbmctWWluZw==|https://frl.publisso.de/adhoc/uri/Wmh1LCBHdWFuZy1KaWFu|https://frl.publisso.de/adhoc/uri/WmhhbmcsIFl1bi1aaGk=|https://frl.publisso.de/adhoc/uri/WmhhbmcsIExpLUJpYW8=|https://frl.publisso.de/adhoc/uri/SGFnYW4sIEVtaWx5IEEu|https://frl.publisso.de/adhoc/uri/TWFydGluZXosIFN0ZXBoYW5pZQ==|https://frl.publisso.de/adhoc/uri/Q2htdXJhLCBBbGVrc2VpIEEu|https://frl.publisso.de/adhoc/uri/RnJhbmNpc2NvLCBMZWlsYW5p|https://frl.publisso.de/adhoc/uri/VGFpLCBIaW5h|https://frl.publisso.de/adhoc/uri/TWlsbGVyLCBNYXVyZWVu|https://frl.publisso.de/adhoc/uri/RGFzemFrLCBQZXRlcg==
1000 Label
1000 Förderer
  1. United States Agency for International Development |
  2. National Institute of Allergy and Infectious Diseases |
1000 Fördernummer
  1. AID-OAA-A-14-00102
  2. R01AI110964
1000 Förderprogramm
  1. Emerging Pandemic Threats PREDICT project
  2. -
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer United States Agency for International Development |
    1000 Förderprogramm Emerging Pandemic Threats PREDICT project
    1000 Fördernummer AID-OAA-A-14-00102
  2. 1000 joinedFunding-child
    1000 Förderer National Institute of Allergy and Infectious Diseases |
    1000 Förderprogramm -
    1000 Fördernummer R01AI110964
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6419511.rdf
1000 Erstellt am 2020-03-30T11:32:23.971+0200
1000 Erstellt von 122
1000 beschreibt frl:6419511
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Mon May 30 14:35:46 CEST 2022
1000 Objekt bearb. Mon May 30 14:35:46 CEST 2022
1000 Vgl. frl:6419511
1000 Oai Id
  1. oai:frl.publisso.de:frl:6419511 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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