china_case_data: Daily confirmed cases of COVID-19 in China
In mrc-ide/pika: Evaluate Correlation Between Time Series
Description
Usage
Format
Source
Description
The case data has daily confirmed confirmed cases for different provinces in China from 16 January to 24 March 2020
from the dashboard maintained by Chinese Center for Disease Prevention and Control (CCDC). The CCDC dashboard
collates numbers of confirmed cases reported by national and local health commissions in each province in mainland
China, and Hong Kong SAR and Macau SAR. Confirmed cases are defined as suspected cases, who have epidemiological
links and/or clinical symptoms, and are detected with SARS-CoV-2 by PCR tests. However, in Hubei province,
clinically diagnosed cases were additionally included between 12 and 19 February.
Usage
1
Format
A data frame with 483 rows and 3 variables:
- date
date, in YYYY-MM-DD format
- province
name of province/region in China where cases occured
- cases
number of daily cases reported of COVID-19
Source
http://2019ncov.chinacdc.cn/2019-nCoV/
mrc-ide/pika documentation built on May 18, 2020, 8:55 p.m.
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Description Usage Format Source
Description
The case data has daily confirmed confirmed cases for different provinces in China from 16 January to 24 March 2020 from the dashboard maintained by Chinese Center for Disease Prevention and Control (CCDC). The CCDC dashboard collates numbers of confirmed cases reported by national and local health commissions in each province in mainland China, and Hong Kong SAR and Macau SAR. Confirmed cases are defined as suspected cases, who have epidemiological links and/or clinical symptoms, and are detected with SARS-CoV-2 by PCR tests. However, in Hubei province, clinically diagnosed cases were additionally included between 12 and 19 February.
Usage
1 |
Format
A data frame with 483 rows and 3 variables:
- date
date, in YYYY-MM-DD format
- province
name of province/region in China where cases occured
- cases
number of daily cases reported of COVID-19
Source
http://2019ncov.chinacdc.cn/2019-nCoV/
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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