Infectious Disease Dynamics Group at Johns Hopkins University
- 32 followers
- Baltimore, Maryland, USA
- http://iddynamics.jhsph.edu/
- azman@jhu.edu
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COVIDScenarioPipeline
COVIDScenarioPipeline Public archivePublic shared code for doing scenario forecasting and creating reports for various governmental entities.
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ncov_incubation
ncov_incubation PublicEstimating the incubation time of the novel coronavirus (nCoV-2019) based on traveler data using coarse data tools
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covidRTPCR
covidRTPCR PublicAnalysis of RT-PCR sensitivity by day since exposure or symptom onset
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ForecastFramework
ForecastFramework PublicCreate modular models. Quickly prototype models whose input includes (multiple) time series data. Create pieces of model use cases separately, and swap out particular models as desired. Create mode…
Repositories
- ForecastHospBurden Public
HopkinsIDD/ForecastHospBurden’s past year of commit activity - flepiMoP_site Public Forked from mmistakes/minimal-mistakes
Website for the Flexible Epidemic Modeling Pipeline
HopkinsIDD/flepiMoP_site’s past year of commit activity - flepimop-documentation Public archive
Documentation for JHU-IDD's Flexible Epidemic Modeling Pipeline. Updated through gitbook.com. Browse it on https://iddynamics.gitbook.io/flepimop/
HopkinsIDD/flepimop-documentation’s past year of commit activity - cholera-mapping-pipeline Public
Formerly part of cholera-taxonomy. The map creation scripts, packages, and file structure
HopkinsIDD/cholera-mapping-pipeline’s past year of commit activity
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