Application of prediction model in leprosy control
Leprosy is a chronic infectious disease that often leads to physical disability if not treated properly,bringing severe mental and economic pressure to patients and society.At present,leprosy in China has been in a state of low prevalence and uneven distribution for a long time,which brings challenges to the prevention and treatment of leprosy in China.More and more experts and scholars use grey prediction model,time series model and other models to predict the incidence trend of leprosy,among which the time series model is more accurate.In this paper,we reviewed the relevant literature on leprosy at home and abroad and summarized them,and reviewed the current situation of leprosy epidemic,incidence trend and the application of prediction model in the prevention and control of leprosy,so as to provide a scientific basis for the prevention and treatment of leprosy.
LeprosyPredictive modelsEpidemiologyIncidence trendsPrevention and cure
NETL
NSTL
万方数据
