Data and R scripts associated with
"Patterns of smallpox mortality in London, England, over three centuries"
by Olga Krylova and David J. D. Earn.
PLoS Biology, 2020
10.1371/journal.pbio.3000506
Patterns of smallpox mortality in London, England, over three centuries.
The original digitized weekly reported smallpox deaths (column smpx), birth (column births) and all-cause mortality (column acm) records for London throughout the period 1661-1934. We also included various transformations of this data such as trends, normalizations, etc., that were used for the main analysis.
Estimated annual population of London for 1550-1931.
Epidemic peaks, i.e., the highest value of normalized smallpox mortality during the epidemic year, which were identified by visual inspection.
The primary spectral peaks, as estimated in this paper (based on a wavelet analysis of weekly data)
The primary spectral peaks, as estimated in previous work by Cliff and co-workers in "Infectious diseases: Emergence and re-emergence: a geographical analysis." Oxford University Press (2009).
The primary spectral peaks, as estimated in previous work by Duncan and co-workers in "Oscillatory dynamics of smallpox and the impact of vaccination." Journal of Theoretical Biology 183(4):447-454 (1996).
Annual smallpox deaths, all-cause mortality, and births based on the data presented in this paper (Data/London_smallpox.csv, variable smpx).
Annual smallpox deaths and all-couse mortality from Creighton (1894).
The data files that are used to plot the wavelet spectrum.
R scripts that create all the figures in the text of the manuscript. The R code uses data in the Data folder as input, and outputs Figures and Tables into the Figures_and_Tables folder.
Output that is produced by running R scripts in the R_code folder, i.e. all figures and tables provided in the paper.
