Water-related land cover data products for geospatial analysis and modeling of infectious disease transmission risks
-
1
University of Oklahoma, United States
-
2
China Agricultural University (CAU), China
-
3
Institute of Geographic Sciences and Natural Resources Research (CAS), China
-
4
Fudan University, China
-
5
Free University of Brussels, Belgium
Transmission of many zoonotic infectious diseases is associated with the spatial-temporal changes in habitats, hosts, and vectors. One example is the highly pathogenic avian influenza viruses (HPAIV), and its transmission is closely related to the spatial distribution and movement of domestic ducks and wild water fowls which use water-related land cover types (e.g., open surface water body, natural wetland, and rice paddy) as their habitats. In the past decades, land use change and climate change have substantially and rapidly altered the spatial distribution and temporal dynamics of water-related land cover types, which calls for accurate and timely updated data, information, and knowledge of those water-related land cover types across the local, regional, national, and global scales. In this presentation, we will provide an update on water-related land cover data products from analyses of satellite images over years, including open surface water body, natural wetland, and rice paddy in China, USA, monsoon Asia, and the globe. We will also introduce the case studies that use these geospatial datasets in risk assessment and modeling of infectious diseases. We hope that this presentation will stimulate more discussion and collaboration between the geospatial science community, which focuses on the use of satellite images to track and monitor land use and land cover changes, and the animal and human health science community, which focuses on the epidemiology and ecology of infectious diseases that affect both animal and human health.
Acknowledgements
The research was supported by the National Institutes of Health (NIH) NIAID grant (1R01AI101028-01A2).
Keywords:
Surface water, aquaculture,
wetlands,
Rice paddies,
remote sensing,
avian influenza
Conference:
GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data, Davis, United States, 8 Oct - 10 Oct, 2019.
Presentation Type:
Regular oral presentation
Topic:
Spatial data sources, open data, accessibility and information integration
Citation:
Xiao
X,
Zhang
G,
Dong
J,
Zou
Z,
Wang
X and
Gilbert
M
(2019). Water-related land cover data products for geospatial analysis and modeling of infectious disease transmission risks.
Front. Vet. Sci.
Conference Abstract:
GeoVet 2019. Novel spatio-temporal approaches in the era of Big Data.
doi: 10.3389/conf.fvets.2019.05.00052
Copyright:
The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers.
They are made available through the Frontiers publishing platform as a service to conference organizers and presenters.
The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated.
Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed.
For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions.
Received:
07 Jun 2019;
Published Online:
27 Sep 2019.
*
Correspondence:
Prof. Xiangming Xiao, University of Oklahoma, Norman, United States, xiangming.xiao@ou.edu