A combination of annual and nonannual forces drive respiratory disease in the tropics

We detected the annual and nonannual periodic signals in respiratory diseases and influenza based on a community-based surveillance system in Ho Chi Minh City, Vietnam. We also showed these periodic signals would substantially improve the model performance in predicting the pattern of respiratory diseases and influenza.

Needed plug-ins

datasets stores all the original csv files needed to reproduce the results. functions stores all the needed functions. Rdata will save all the Rdata generated from the scripts. The multiple-step function results that are generated from Roar Supercomputer in Pennsylvania State University are provided. The ILI from other regions are provided in Global ILI.

Reproduce the results of respiratory diseases (influenza-like-illness,ILI)

Run the scripts in order under ILI in order.

Reproduce the results of influenza (ILI+)

Run the scripts in order under ILI+ in order.