Research progress on the vector surveillance and early-warning

The surveillance and early-warning of disease vectors is not only crucial to the sustainable and precise vector management,but also the key to the prevention and control of vector-borne diseases. Threshold-based quantitative assessment of vectors and multiple discipline based model prediction are the most commonly used methods of vectors early-warning. With the development of new identification and surveillance technique of disease vectors,the introduction of multidiscipline approaches,and the emerging of new information technology such as big data and cloud platform,the vector surveillance and early-warning towards the orientation of comprehensive models and early-warning systems. This review focus on the latest vectors surveillance and early-warning strategies,measures,techniques,and future directions so as to provide the reference basis of the prevention and control of vector-borne diseases.