Mosquito-borne diseases and control

Neueste Paper

• The Role of Natural Language Understanding in Multimodal Video-Based Dengue Diagnosis

  Danial Sharifrazi, Saadat Behzadi, Julakha Jahan Jui, Mojtaba Mohammadi, Nouman Javed, Roohallah Alizadehsani, Prasad N. Paradkar, Asim Bhatti · 14. August 2026

  Detecting infection-related behavioral changes in mosquitoes from video data is challenging because mosquitoes are small, move rapidly and irregularly, and are affected by environmental factors such as background, lighting, and shadows, which can make reliable feature extraction difficult. In this s…

• TREA-Net: A Transferable Residual Epidemiological Adaptation Network for Dengue Incidence Forecasting

  Inesh Shukla, Madhurima Panja, Tanujit Chakraborty, Chittaranjan Hens · 30. Juli 2026

  Accurate multi-week dengue forecasting supports timely vector-control interventions, outbreak preparedness, and healthcare resource allocation. However, newly established surveillance systems often lack the historical data needed to train reliable neural forecasting models. Although pretrained time-…

• Mining Citywide Dengue Spread Patterns in Singapore Through Hotspot Dynamics from Open Web Data

  Liping Huang, Gaoxi Xiao, Stefan Ma, Hechang Chen, Shisong Tang, Flora Salim · 21. Januar 2026

  Dengue, a mosquito-borne disease, continues to pose a persistent public health challenge in urban areas, particularly in tropical regions such as Singapore. Effective and affordable control requires anticipating where transmission risks are likely to emerge so that interventions can be deployed proa…

• Neural networks for dengue forecasting: a systematic review

  Luiza Lober, Francisco A. Rodrigues, Kirstin Roster · 19. Dezember 2025

  Background: Early forecasts of dengue are an important tool for disease mitigation. Neural networks are powerful predictive models that have made contributions to many areas of public health. In this study, we reviewed the application of neural networks in the dengue forecasting literature, with the…