Forest cover and climate as potential drivers for dengue fever in Sumatra and Kalimantan 2006-2016: a spatiotemporal analysis

Keyphrases

• Sumatra 100%
• Potential Drivers 100%
• Dengue Fever 100%
• Forest Cover 100%
• Spatiotemporal Analysis 100%
• Forest Climate 100%
• Kalimantan 100%
• Credible Interval 57%
• Indonesia 28%
• Humidity 28%
• District Level 14%
• Deforestation 14%
• Demographic Variables 14%
• Climate Variables 14%
• Climate Factors 14%
• Surveillance Data 14%
• Climatic Factors 14%
• Minimum Temperature 14%
• Markov Chain Monte Carlo Simulation 14%
• Zero-inflated Poisson Regression 14%
• Spatial Clustering 14%
• Cover Factor 14%
• Risk-based Surveillance 14%
• Gibbs Sampling 14%
• Risk Areas 14%
• Ecological Study Design 14%
• Conditional Autoregressive Prior 14%
• Bayesian Markov Chain Monte Carlo 14%
• Prior Structure 14%
• Residual Risk 14%
• Spatiotemporal Trends 14%
• Climate Indicators 14%

Agricultural and Biological Sciences

• Hyperthermia 100%
• Relative Humidity 28%
• Climatic Factor 14%
• Deforestation 14%
• Monte Carlo Method 14%
• Markov Chain 14%

Pharmacology, Toxicology and Pharmaceutical Science

• Dengue 100%
• Ecological Study 14%