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This project contains the primary data set analyzed in the paper "On the use of real-time mortality data in modelling and analysis during an epidemic outbreak ". The data was generated by downloading the DT-series daily from the Public Health Agency of Sweden between 2020-04-02 and 2020-07-09. This project contains the following files: FHM_Covid_Download.zip. (Zip-archive of raw downloaded files with Swedish deaths data.) swedish_covid_deaths_data.csv. (Swedish deaths data collated from the raw data files in a .csv format.) swedish_covid_deaths_data.xlsx. (Swedish deaths data collated from the raw data files in a .xlsx format.) swedish_covid_deaths_OGR.R. (R-script to generate graphs and nowcasts in the paper.) MDAR author checklist.pdf (Completed MDAR reporting checklist)
mortality data, reporting delay, real-time, nowcasting, epidemiological modeling, smoothing
mortality data, reporting delay, real-time, nowcasting, epidemiological modeling, smoothing
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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