Advancing adoptability and sustainability of digital prediction tools for climate-sensitive infectious disease prevention and control.

• Tác giả: Vinh Bui, Cordia Chu, Felipe J Colón-González, Kien Quoc Do, Quang-Van Doan, Robert Dubrow, Masahiro Hashizume, Colleen L Lau, Son Nghiem, Cong Tuan Pham, Lan Trong Phan, Dung Phung, Hai Phung, Simon Reid, Nam Sinh Vu, Duong Nhu Tran, Daniel M Weinberger
• Ngôn ngữ: eng
• Ký hiệu phân loại: 519.287 Expectation and prediction
• Thông tin xuất bản: England : Nature communications , 2025
• Bộ sưu tập: NCBI
• ID: 100858

Tóm tắt

 Few forecasting models have been translated into digital prediction tools for prevention and control of climate-sensitive infectious diseases. We propose a 3-U (useful, usable, and used) research framework for advancing the adoptability and sustainability of these tools. We make recommendations for 1) developing a tool with a high level of accuracy and sufficient lead time to permit effective proactive interventions (useful)
  2) conducting a needs assessment to ensure that a tool meets the needs of end-users (usable)
  and 3) demonstrating the efficacy and cost-effectiveness of a tool to secure its adoption into routine surveillance and response systems (used).