Risk Distribution of Human Infections with Avian Influenza H7N9 and H5N1 virus in China.

ABSTRACT: It has been documented that the epidemiological characteristics of human infections with H7N9 differ significantly between H5N1. However, potential factors that may explain the different spatial distributions remain unexplored. We use boosted regression tree (BRT) models to explore the association of agro-ecological, environmental and meteorological variables with the occurrence of human cases of H7N9 and H5N1, and map the probabilities of occurrence of human cases. Live poultry markets, density of human, coverage of built-up land, relative humidity and precipitation were significant predictors for both. In addition, density of poultry, coverage of shrub and temperature played important roles for human H7N9 infection, whereas human H5N1 infection was associated with coverage of forest and

SUBMITTER: Li XL 

PROVIDER: S-EPMC4686887 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature