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Geospatial dynamics of COVID‐19 clusters and hotspots in Bangladesh

Islam, Ariful, Sayeed, Md. Abu, Rahman, Md. Kaisar, Ferdous, Jinnat, Islam, Shariful and Hassan, Mohammad Mahmudul 2021, Geospatial dynamics of COVID‐19 clusters and hotspots in Bangladesh, Transboundary and Emerging Diseases, vol. Early View, no. Online Version of Record before inclusion in an issue, doi: 10.1111/tbed.13973.

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Title Geospatial dynamics of COVID‐19 clusters and hotspots in Bangladesh
Author(s) Islam, ArifulORCID iD for Islam, Ariful orcid.org/0000-0002-9210-3351
Sayeed, Md. Abu
Rahman, Md. Kaisar
Ferdous, Jinnat
Islam, Shariful
Hassan, Mohammad Mahmudul
Journal name Transboundary and Emerging Diseases
Volume number Early View
Issue number Online Version of Record before inclusion in an issue
Article ID 13973
Total pages 15
Publisher Wiley-Blackwell Verlag GmbH
Place of publication Berlin, Germany
Publication date 2021-01-01
ISSN 1865-1674
1865-1682
Keyword(s) Science & Technology
Life Sciences & Biomedicine
Infectious Diseases
Veterinary Sciences
Bangladesh
clustering
COVID-19
Hotspot
Moran's I
scan statistics
Moran’s I
Notes This article also appears in: Novel coronavirus 2019 − an emerging public health emergency
Language eng
DOI 10.1111/tbed.13973
Indigenous content off
Field of Research 0707 Veterinary Sciences
1117 Public Health and Health Services
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2021, Wiley-VCH GmbH
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30146869

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Created: Wed, 03 Feb 2021, 15:44:38 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.