Miguel Icaza
Durham University
Simulation effort team:
F. Krauss, I. Vernon, R. Bower, A. Quera, C. Cuesta, C. Becker, J. Bullock, H. Troung, E. Elliot, J. Armijo....And many more new members will join next week!!
1) NPGO Corona DataSet (German):
https://npgeo-corona-npgeo-de.hub.arcgis.com/datasets
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Pros:
- Individual info on all German confirmed cases.
- By far the largest scale individual data set.
Cons:
- No length of sickness info (hard to correct the biases on number of cases).
- No hospitalisation/symptoms info.
Updated Daily
--> reduces biases due to averaging cities
at different stages
German Population estimates: https://www.citypopulation.de/en/germany/admin/
2) Vo municipality data set
https://www.medrxiv.org/content/10.1101/2020.04.17.20053157v1.supplementary-material
Cons:
- A comparatively small number of cases (2900 population, 80 infected,14 hospitalized, 3 deads).
Pros:
- Data on 80% of a town tested twice (before quarantine and after one week of quarantine).
- Ideal for computing % of asymptomatic cases (43% Lavezzo et al).Â
- Individual Information on symptoms.
Symptomatic vs asymptomatic cases (Lavezzo et al.)
No evidence for Age-dependent Asymptomatic distribution
Analysis of the prevalence of COVID-19 in the population by age (Lavezzo et al.)
3) Spain Data Compilation
https://github.com/datadista/datasets/tree/master/COVID%2019
Note: The data is public, but you are required to make a citation
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Cons:
- No individual data.
-Inconsistent dates.
Pros:
- Day by day counts on hospitalization deaths and cases.
Spanish Population estimates: https://www.ine.es/jaxi/Tabla.htm?path=/t20/e245/p08/l0/&file=01002.px&L=0
4) What about the UK?
Confirmed cases/deaths by region and day
https://coronavirus.data.gov.uk/?_ga=2.43319013.1776340741.1587649377-2109200743.1587649377
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A more complete number of deaths per day:
https://www.england.nhs.uk/statistics/statistical-work-areas/covid-19-daily-deaths/
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> Information is protected.
> However public data on the number of deaths and of cases per county and per day is available.
Can be used for computing the number of deaths per month compared with a normal year, which is an upper limit of the death rate.
Deaths are 1.7 times the expected amount from mid March to 3 April
Historic number of deaths per month in Europe: https://ec.europa.eu/eurostat/de/data/database?node_code=demo_mor
5) Verity et al. Dataset.
https://github.com/mrc-ide/COVID19_CFR_submission
> Mostly January-February data from China.
> Data used in the Imperial model.
Cons:
- The number of tests comparatively low so the number of cases estimate is higher than in other datasets.
Pros:
- Complete data set, presumably all necessary infromation for analysis
Info between onset on symptoms and end of disease:
can be used to correct biases due to unfinished cases in the sample.
Differences due to % tested??