Skip to content

jlservadio/YF_Forecast

Repository files navigation

Yellow Fever Forecasting

Statistical forecasting models for Yellow Fever occurrence and incidence in Brazil.

Files included:

Servadio_YFForec_Data_anon_00_05.Rdata

Anonymized municipality-week data used in modeling spanning from 2000-2005.

Servadio_YFForec_Data_anon_06_11.Rdata

Anonymized municipality-week data used in modeling spanning from 2006-2011.

Servadio_YFForec_Data_anon_12_18.Rdata

Anonymized municipality-week data used in modeling spanning from 2012-2018. The three .Rdata files combined comprise the full data set used in analyses.

MakeLag.R

Produces specified lag periods for model fitting

makeROC.R

Computes area under the ROC curve and mean absolute error for evaluating forecating abilities of the binomial and Gamma steps, respectively, of a Gamma hurdle model

Min_Pre.R

Fits models using minimum temperature, humidity, and precipitation at various lag periods during the endemic time period

Max_Pre.R

Fits models using maximum temperature, humidity, and precipitation at various lag periods during the endemmic time period

Mean_Pre.R

Fits models using mean temperature, humidity, and precipitation at various lag periods during the endemic time period

Range_Pre.R

Fits models using range of temperature, humidity, and precipitation at various lag periods during the endemic time period

Min_Post.R

Fits models using minimum temperature, humidity, and precipitation at various lag periods during the epidemic time period

Max_Post.R

Fits models using maximum temperature, humidity, and precipitation at various lag periods during the epidemic time period

Mean_Post.R

Fits models using mean temperature, humidity, and precipitation at various lag periods during the epidemic time period

Range_Post.R

Fits models using range of temperature, humidity, and precipitation at various lag periods during the epidemic time period

About

Statistical forecasting models for Yellow Fever occurrence and incidence in Brazil

Resources

Stars

Watchers

Forks

Packages

No packages published

Languages