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COVID-19 Regional Skipped Fits of Infected People

excluded from fitting by insufficient data

Jens Röder

2 minutes read

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For a fit we need a sufficient amount of good data points, otherwise the fit will not stabilize. If the number is below 13, the min13-filter will skip those data sets. Quite often we see some few cases and then a long period no new infections. We might meet the min 13 criteria, but the data are by shape of the curve insufficient to be fitted. Here the min7step-filter skips those who do not have 7 subsequent data steps. And also those are skipped, which`s sum of all infected numbers is less then 2.05 the last number, named max-sum-filter. Finally, there is a manual exclusion list for those data sets, that wont stabilize after manual intervention. During the automatic fitting most difficult data set are excluded and will be included, once sufficient more data are available.


Acualisation date: Fri Sep 18 04:27:50 UTC 2020

location ID, reason why fit was skipped,
Anguilla, United Kingdom 264 min13-filter
Belize 42 manually skipped
Burma 52 no-pre-fit-values-filter
Diamond Princess, Canada 59 min13-filter
Dominican Republic 123 manually skipped
Falkland Islands (Malvinas), United Kingdom 269 min7step-filter
Gambia 146 manually skipped
Grand Princess, Canada 60 min7step-filter
Greenland, Denmark 118 min7step-filter
Holy See 157 min13-filter
Hong Kong, China 86 manually skipped
Montserrat, United Kingdom 272 min7step-filter
MS Zaandam 186 min13-filter
Northwest Territories, Canada 64 min13-filter
Papua New Guinea 218 manually skipped
Portugal 223 manually skipped
Romania 225 manually skipped
Russia 226 manually skipped
Saint Barthelemy, France 141 min7step-filter
Saint Kitts and Nevis 228 min7step-filter
Saint Pierre and Miquelon, France 142 min13-filter
Tanzania 253 manually skipped
Tibet, China 103 min13-filter
Timor-Leste 255 no-pre-fit-values-filter
Western Sahara 280 min13-filter
Yukon, Canada 70 min7step-filter

For countries in this list, data are insufficiant for a good fit.

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