Objective To understand and evaluate the human resource allocation of centers for disease prevention and control(CDCs)in Lianyungang City,to provide references for the allocation of human resources in CDCs.Methods De-scriptive statistics was used to analyze the quantity and structure distribution of human resources at all levels of CDCs in Li-anyungang City at the end of 2022,and the fairness of human resources was evaluated by using the degree of resource con-centration,population concentration,and their differences.Results The proportion of health professionals and technicians in CDCs in Lianyungang City was 83.36％,the proportion of professionals and technicians with junior and below professional titles was the highest(46.36％),and the proportion of professionals and technicians with senior professional titles was the lowest(26.53％).The education of the personnel was mainly a bachelor's degree,accounting for 70.21％.The allocation of human resources was unbalanced,and Guannan County,Haizhou District,and Ganyu District had Human Resource Ag-glomeration Degree(HRAD)i＞1,and the fairness was good,but Donghai County,Guanyun County,and Lianyun District had HRADi＜1,and the fairness was poor.Guannan County,Haizhou District,Lianyun District had HRADi and Population Ag-glomeration Degree(PAD)i difference＞0,indicating the overall allocation of human resources was relatively sufficient,but Donghai County,Guanyun County and Ganyu District had HRADi and PADi difference＜0,indicating insufficient alloca-tion of human resources.Conclusion The human resource structure of CDCs in Lianyungang City is not reasonable enough,and there is a large gap between the fairness and accessibility of human resource allocation in different regions,so it is sug-gested that the local government should increase the introduction and training of talents,further optimize the talent alloca-tion,and improve the fairness and accessibility of human resource allocation.
Center for disease prevention and control(CDC)Human resourceEvaluation analysis
NETL
NSTL
万方数据
