The impact of anthropogenic and environmental factors on human rabies cases in China.


Journal

Transboundary and emerging diseases
ISSN: 1865-1682
Titre abrégé: Transbound Emerg Dis
Pays: Germany
ID NLM: 101319538

Informations de publication

Date de publication:
Nov 2020
Historique:
received: 12 11 2019
revised: 20 04 2020
accepted: 20 04 2020
pubmed: 30 4 2020
medline: 7 4 2021
entrez: 30 4 2020
Statut: ppublish

Résumé

Human rabies is a public health problem in Asia, especially in less-developed regions where the disease is under-reported because of a lack of epidemiological surveillance. To address this gap, we collected data on human rabies in Yunnan Province, China, between 2005 and 2016. Using statistical mapping techniques, we correlated the occurrence of human rabies to environmental (elevation, precipitation, normalized difference vegetation index [NDVI], temperature and distance to the nearest main rivers) and anthropogenic (human and dog population density, distance to the nearest main roads and gross domestic product [GDP]) factors. We used a performance score, the average area under the receiver operator characteristic curve (0.88), to validate our risk model. Using this model, we found that environmental factors were more strongly associated with human rabies occurrence than anthropogenic factors. Areas with elevation below 2000 metres, GDP per capita between $750 and $4500/year and NDVI below 0.07 were associated with greater risk of human rabies. Rabies control in China should specifically target these areas.

Identifiants

pubmed: 32348020
doi: 10.1111/tbed.13600
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

2544-2553

Subventions

Organisme : Academician Xu Jianguo Work Station
ID : 2018IC155
Organisme : Fonds National de la Recherche Scientifique (FNRS, Belgium)
Organisme : Oxford Martin School
Organisme : Young Elite Scientist Sponsorship Program by CAST(YESS)
ID : 2018QNRC001
Organisme : Construct Program of the Key Discipline in Hunan Province of China
ID : 2011001
Organisme : Key Subject Construction Project of Hunan Normal University (geographic information systems)
Organisme : National Key Research and Development Program of China
ID : 2016YFA0600104
Organisme : Beijing Natural Science Foundation
ID : JQ18025
Organisme : National Natural Science Foundation of China
ID : 81673234
Organisme : National Natural Science Foundation of China
ID : 31870400
Organisme : Fundamental Research Funds for the Central Universities

Informations de copyright

© 2020 Blackwell Verlag GmbH.

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Auteurs

Jing Yu (J)

State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.
Key Laboratory of Geospatial Big Data Mining and Application, College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China.

Hong Xiao (H)

Key Laboratory of Geospatial Big Data Mining and Application, College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China.

Weihong Yang (W)

Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, China.

Simon Dellicour (S)

Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.
Department of Microbiology, Immunology and Transplantation, Rega Institute, KU Leuven, Leuven, Belgium.

Moritz U G Kraemer (MUG)

Department of Zoology, University of Oxford, Oxford, UK.
Harvard Medical School, Harvard University, Boston, MA, USA.
Boston Children's Hospital, Boston, MA, USA.

Yonghong Liu (Y)

Key Laboratory of Geospatial Big Data Mining and Application, College of Resources and Environmental Sciences, Hunan Normal University, Changsha, China.

Jun Cai (J)

Ministry of Education Key Laboratory for Earth System Modeling, Department of Earth System Science, Tsinghua University, Beijing, China.

Zheng X Y Huang (ZXY)

College of Life Sciences, Nanjing Normal University, Nanjing, China.

Yuzhen Zhang (Y)

Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, China.

Yun Feng (Y)

Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, China.

Wenli Huang (W)

Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, China.

Hailin Zhang (H)

Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Diseases Control and Prevention, Dali, China.

Marius Gilbert (M)

Spatial Epidemiology Lab (SpELL), Université Libre de Bruxelles, Bruxelles, Belgium.

Huaiyu Tian (H)

State Key Laboratory of Remote Sensing Science, College of Global Change and Earth System Science, Beijing Normal University, Beijing, China.

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