About: Spatial-Temporal Dataset of COVID-19 Outbreak in China

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	Spatial-Temporal Dataset of COVID-19 Outbreak in China
Creator	Cheong, Siew Liu, Wenyuan Yen, Tsung-Wen
source	ArXiv
abstract	We present Coronavirus disease 2019 (COVID-19) statistics in China dataset: daily statistics of the COVID-19 outbreak in China at the city/county level. For each city/country, we include the six most important numbers for epidemic research: daily new infections, accumulated infections, daily new recoveries, accumulated recoveries, daily new deaths, and accumulated deaths. We cross validate the dataset and the estimate error rate is about 0.04%. We then give several examples to show how to trace the spreading in particular cities or provinces, and also contrast the development of COVID-19 in all cities in China at the early, middle and late stages. We hope this dataset can help researchers around the world better understand the spreading dynamics of COVID-19 at a regional level, to inform intervention and mitigation strategies for policymakers.
has issue date	2020-03-26(xsd:dateTime)
has license	arxiv
sha1sum (hex)	c725ed734afba75f225aeee4c61a4266f60e79fa
resource representing a document's title	Spatial-Temporal Dataset of COVID-19 Outbreak in China
resource representing a document's body	covid:c725ed734afba75f225aeee4c61a4266f60e79fa#body_text
is schema:about of	named entity 'daily' named entity 'statistics' named entity 'accumulated' named entity 'COVID-19' named entity 'dataset' »more»

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