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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2021
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2021
License: CC BY
Data sources: Datacite
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Spatial Characteristics of Coronavirus Disease 2019 and Their Possible Relationship with Environmental and Meteorological Factors in Hubei Province, China

Authors: Huang, Xiaochi; Zhou, Han; Yang, Xiaofeng; Zhou, Wen; Huang, Jiejun; Yuan, Yanbin;

Spatial Characteristics of Coronavirus Disease 2019 and Their Possible Relationship with Environmental and Meteorological Factors in Hubei Province, China

Abstract

Data set associated with the manuscript published in GeoHealth titled Spatial Characteristics of Coronavirus Disease 2019 and Their Possible Relationship with Environmental and Meteorological Factors in Hubei Province, China. This includes The daily cumulative confirmed COVID-19 cases in Hubei province, the location of meteorology and enviromental monitoring stations, the anomalies of meteorological environmental variables in comparison to 1981-2010 and the anomalies of environmental variables in comparison to 2015-2019.

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Keywords

environmental and meteorological factors, Hubei province, COVID-19

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citations
The total number of citations received by all articles of the researcher of interest.
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
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11
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7
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