To start off, users could utilize the ‘remotes’ package to install it directly from GitHub by running the following in R:
#remotes::install_github("yulab-smu/nCov2019", dependencies = TRUE)
2021/12/16
To start off, users could utilize the ‘remotes’ package to install it directly from GitHub by running the following in R:
#remotes::install_github("yulab-smu/nCov2019", dependencies = TRUE)
library("nCov2019")
res <- query()
## last update: 2021-12-16 ## Gloabl total 272487765 cases; and 5345727 deaths ## Gloabl total affect country or areas: 224 ## Gloabl total recovered cases: 77269 ## last update: 2021-12-16 ## Total Candidates Programs : 51 ## Total Candidates Programs : 84
names(res)
## [1] "latest" "global" "historical" "vaccine" "therapeutics"
x<- res$latest print(x)
## last update: 2021-12-16
head(x["Global"]) #return all global countries
## country cases deaths recovered active todayCases todayDeaths ## 1 USA 51290979 823390 40343561 10124028 136590 1690 ## 2 UK 11010286 146791 9617941 1245554 78610 165 ## 3 France 8399846 120983 7395914 882949 65713 151 ## 4 Germany 6656161 107675 5559700 988786 55650 509 ## 5 Russia 10103160 292891 8839633 970636 28363 1142 ## 6 Spain 5393268 88619 4961880 342769 27140 77 ## todayRecovered population tests updated ## 1 102204 333823623 781366086 2021-12-16 ## 2 43395 68404314 380861666 2021-12-16 ## 3 33306 65483478 175073861 2021-12-16 ## 4 62400 84173371 87852398 2021-12-16 ## 5 35633 146025438 232800000 2021-12-16 ## 6 3208 46781107 66213858 2021-12-16
head(x["Taiwan"])
## country cases deaths recovered active todayCases todayDeaths todayRecovered ## 156 Taiwan 16759 849 15706 204 7 1 10 ## population tests updated ## 156 23879442 8772089 2021-12-16
Z<- res$historical print(Z)
## last update: 2021-12-15
head(Z[c('Taiwan','Taipei')])
## country date cases deaths recovered ## 173 Taiwan 2020-01-22 1 0 0 ## 369 Taiwan 2020-01-23 1 0 0 ## 565 Taiwan 2020-01-24 3 0 0 ## 761 Taiwan 2020-01-25 3 0 0 ## 957 Taiwan 2020-01-26 4 0 0 ## 1153 Taiwan 2020-01-27 5 0 0
X <-res$ vaccine summary(X)
## phase candidates ## 1 Phase 3 10 ## 2 Phase 2/3 3 ## 3 Phase 2 2 ## 4 Phase 1/2 9 ## 5 Phase 1 13 ## 6 Pre-clinical 14
head(X["all"])
## id candidate ## 1 id1 BNT162 ## 2 id2 mRNA-1273 ## 3 id3 Ad5-nCoV ## 4 id4 AZD1222 ## 5 id5 CoronaVac ## 6 id6 Covaxin ## mechanism ## 1 mRNA-based vaccine ## 2 mRNA-based vaccine ## 3 Recombinant vaccine (adenovirus type 5 vector) ## 4 Replication-deficient viral vector vaccine (adenovirus from chimpanzees) ## 5 Inactivated vaccine (formalin with alum adjuvant) ## 6 Inactivated vaccine ## sponsors trialPhase ## 1 Pfizer, BioNTech Phase 3 ## 2 Moderna Phase 3 ## 3 CanSino Biologics Phase 3 ## 4 The University of Oxford Phase 3 ## 5 Sinovac Phase 3 ## 6 Bharat Biotech Phase 3 ## institutions ## 1 Multiple study sites in Europe, North America and China ## 2 Kaiser Permanente Washington Health Research Institute ## 3 Tongji Hospital ## 4 The University of Oxford,  ## 5 Sinovac Research and Development Co., Ltd. ## 6
X <- res$latest plot(X)
plot(X, type = "tests", palette="Green")