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CovsirPhy v2.17.0

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@lisphilar lisphilar released this 28 Feb 16:47

Data loading and EDA

  • [New] Global map for the number of tests/vaccinations, population and OxCGRT indicators #593
  • [New] country-specific map for the number of cases/tests and population at province level #594
  • [New] add "the number of vaccinated" to VaccineData as well as "the number of vaccinations" #609
  • [New] method to select all country level data and all province level data in data cleaning classes #610
  • [New] (JapanData) the number of vaccinated persons in Japan #612
  • [Fix] subset not found in PCRData (the number of tests) #606
  • [Fix] RuntimeWarning when calculating recovery period #607
  • [Fix] HTTPError when downloading vaccination data and PCR test data #614
  • [Fix] memory leak with .map() methods of data cleaning classes #618
  • [Fix] FutureWarning in JHUdata.ensure_country_name() #635

ODE models

  • [New/Revise] Deprecation of SIR-FV model because vaccination effect should be discussed with SIR-F parameters #573
  • [New/Revise] deprecation of SEWIR-F parameter estimation because Rt explodes, despite RMSLE score is low #569
  • [Docs] SIRS, SIRFS model not implemented #379

User interface for scenario analysis

  • [New] improve interface of Scenario class to register datasets #613
  • [New] property Scenario.today as the reference date to determine past/future phases #622
  • [New] Scenario.records() and Scenario.records_diff() include variables of extra datasets #626
  • [Fix] Scenario.history("Infected") does not include future phases #636

Forecasting

  • [New] min-max scaling to improve Elastic Net regression model in parameter prediction of future phases #611
  • [New] Scenario.estimate_delay() calculate the delay of any registered variables #631
  • [Fix] negative Rt in parameters forecast with fit_predict() for larger delay #507

Acknowledgement

@Inglezos and @andrybicio, special thanks for your discussions!
Related issues and pull requests: https://github.com/lisphilar/covid19-sir/milestone/29?closed=1