Application of DISO Index in multi-round sorting of disease surveillance data
10.3969/j.issn.1006-2483.2026.05.005
- VernacularTitle:DISO指标在疾病监测数据多轮次排序中的应用
- Author:
Tian LIU
1
;
Shuqiong HUANG
2
;
Kaifa SONG
1
;
Cong XIE
2
;
Wenwen YANG
2
;
Menglei YAO
1
;
Quan XIANG
1
;
Qinwen XU
1
;
Zhou QIN
1
;
Dexin RUAN
1
;
Jing ZHAO
3
Author Information
1. Jingzhou Center for Disease Control and Prevention, Jingzhou, Hubei 434000, China
2. Hubei Center for Disease Control and Prevention , Wuhan , Hubei 430079 , China
3. Chinese Center for Disease Control and Prevention , Beijing 102206 , China
- Publication Type:Journal Article
- Keywords:
DISO;
TOPSIS;
Ranking;
Multi-round;
Public health
- From:
Journal of Public Health and Preventive Medicine
2026;37(5):22-25
- CountryChina
- Language:Chinese
-
Abstract:
Objective To introduce the calculation of the DISO index in multi-dimensional data ranking for disease surveillance, and evaluate its applicability. Methods Using the data from the quality supervision and inspection of infectious disease reporting in Jingzhou City in a certain year as an example, the DISO index was used to rank 16 investigated medical institutions and compared with the TOPSIS method. The consistency between the two evaluation results was analyzed using Spearman correlation. Then, The DISO index from different medical institutions was used to evaluate the ranking of 8 counties (cities, districts). The evaluation indicators for the supervision and inspection included six items: report rate, timely report rate, completeness of report card filling, accuracy of report card filling, consistency rate with network information report, and completeness of valid ID number filling. Results Among the 16 medical institutions, 8 institutions had all six evaluation indicators at 100%. Using the two methods to rank the 16 medical institutions, the two methods showed that the 8 medical institutions with all six evaluation indicators at 100% were ranked first. There was a strong correlation between the rankings of the 16 medical institutions using the two methods (rs=0.992, P=0.000). The three counties (cities, districts) with all six evaluation indicators at 100% were all ranked first, while country G was ranked seventh and country E was ranked eighth. Conclusion The results of the DISO index and the TOPSIS method were similar in one-dimensional ranking. DISO can be used for multi-dimensional ranking of disease surveillance data and deserves to be promoted and applied.
