Neues Paper Modeling Human-Mosquito Interaction for Improved Dengue Risk Prediction
A recent paper published in Scientific Reports by Steffen Knoblauch and colleagues highlights the importance of integrating vector ecology and human behavior into advanced disease modeling frameworks. Focusing on dengue fever, a mosquito-borne disease with rising global incidence, the study emphasizes the role of human mobility and mosquito behavior in predicting disease spread. Using mobile phone data from 3 million urban residents and daily dengue case counts over eight years in Rio de Janeiro, the research models human-mosquito interactions on an hourly basis. By combining mosquito biting behavior with human movement patterns, the model explained 77% of the variance in dengue infections at the sub-neighborhood level. These findings offer valuable insights for optimizing vector control strategies and identifying high-risk zones for dengue transmission.