engtotals {bmstdr} | R Documentation |
Total number of weekly Covid-19 deaths and cases in the 313 local Local Authority Districts, Counties and Unitary Authorities (LADCUA) in England during the first peak from March 13 to July 31, 2020.
Description
Total number of weekly Covid-19 deaths and cases in the 313 local Local Authority Districts, Counties and Unitary Authorities (LADCUA) in England during the first peak from March 13 to July 31, 2020.
Usage
engtotals
Format
An object of class data.frame
with 313 rows and 19 columns.
Source
Sahu and Böhning (2021). @format A data frame with 313 rows and 19 columns:
- Areacode
Areacode identifier of the 313 Local Authority Districts, Counties and Unitary Authorities (LADCUA)
- mapid
A numeric column identifying the map area needed for plotting
- spaceid
A numeric variable taking value 1 to 313 identifying the LADCUA's
- Region
Identifies one of the 9 English regions
- popn
Population number in mid-2019
- jsa
Percentage of the working age population receiving job-seekers allowance during January 2020
- houseprice
Median house price in March 2020
- popdensity
Population density in mid-2019
- startdate
Start date of the week
- Weeknumber
Week numbers 11 to 30
- no2
Estimated average value of NO2 at the centroid of the LADCUA in that week
- covid
Number of Covid-19 deaths within 28 days of a positive test
- allcause
Total number deaths
- noofcases
Total number of cases
- Edeaths
Expected number of Covid-19 deaths. See Sahu and Bohning (2021) for methodology.
- Ecases
Expected number of cases.
- logEdeaths
Log of the column
Edeaths
- logEcases
Log of the column
Ecases
- casesmr
Standaridised morbidity rate for the number of cases,
noofcases
/Ecases
- nweek
Number of weeks during March 13 to July 31, 2020. All values are 20.
- noofhighweeks
Number of weeks out of 20 when the
casesmr
was greater than 1
References
Sahu SK, Böhning D (2021). “Bayesian spatio-temporal joint disease mapping of Covid-19 cases and deaths in local authorities of England.” Spatial Statistics. doi:10.1016/j.spasta.2021.100519.
Examples
colnames(engtotals)
dim(engtotals)
summary(engtotals[, 5:14])