现在预测载体蚊子的丰富性,并确定其与韩国疟疾流行病的关联

Taehee Chang1, Saebom Choi1, Hojong Jun2

  • 1Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, Republic of Korea.

概括

韩国共和国的疟疾控制受到延迟的蚊子数据的阻碍. 机器学习模型准确地预测了蚊子的丰富性,使得及时干预和支持疟疾早期预警系统.