Evaluation of implementation quality of schistosomiasis surveillance programmes in surveillance provinces of China in 2024

CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES ›› 2025, Vol. 43 ›› Issue (4): 489-496.doi: 10.12140/j.issn.1000-7423.2025.04.007

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Evaluation of implementation quality of schistosomiasis surveillance programmes in surveillance provinces of China in 2024

GUO Suying1()(), LI Yinlong1, LI Shizhen1, DANG Hui1, ZHANG Lijuan1, HE Junyi1, YANG Fan1, ZHU Hongqing1, JIA Tiewu1, QIN Zhiqiang1, FENG Ting1, DENG Wangping1, LV Chao1, YANG Ying1, HAO Yuwan1, SUN Junling2, CAO Chunli1, XU Jing1,3,*()(), LI Shizhu1,3   

  1. 1 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases; NHC Key Laboratory of Parasite and Vector Biology; WHO Collaborating Center for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
    2 Chinese Center for Disease Control and Prevention (Chinese Academy of Preventive Medicine), Beijing 102206, China
    3 School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China
  • Received:2025-02-10 Revised:2025-03-25 Online:2025-08-30 Published:2025-10-09
  • Contact: E-mail: xujing@nipd.chinacdc.cn
  • Supported by:
    Key Discipline Project of the Three-Year Initiative Plan for Strengthening Public Health System Construction in Shanghai (2023-2025)(GWVI-11.1-12);National Science Foundation of China(82073619)

Abstract:

Objective To understand and evaluate the implementation quality and problems of current schistosomiasis surveillance programmes in China, so as to provide insights into facilitating schistosomiasis surveillance programme. Methods In October to December, 2024, a total of 22 counties (county-level cities or districts, hereinafter referred to as “counties”) were sampled using a quota sampling method from 13 provinces (autonomous regions, municipalities, hereinafter referred to as “provinces”) where national schistosomiasis surveillance programmes were implemented. Based on Information technology―Evaluation indicators for data quality (GB/T 36344-2018) and the expert meeting method, evaluation indicators were proposed to assess the quality of the surveillance programmes, including standardization, integrity, accuracy, consistency, and timeliness. A total of 50 subjects’ serum samples, 30 Kato-Katz slides (all slides were examined if less than 30 slides collected from residents were available), and 10 snail survey environments were sampled from each survey county for re-reviews. The indicator scores were analyzed using the equal weighting method, and the average scores and the coincidence rates of serum and etiologic re-review samples were calculated. In addition, the difference in the average score was compared with rank sum test between elimination, nonendemic areas and non-elimination areas. Results The 22 evaluation counties included 7 surveillance counties and 2 nonendemic counties in schistosomiasis elimination provinces, and 13 epidemic surveillance counties in non-elimination provinces. The average score was (9.04 ± 0.79) points in 22 evaluation counties, and (8.92 ± 0.76) points in surveillance counties in non-elimination provinces and (9.22 ± 0.83) points in surveillance and nonendemic counties in elimination provinces (Z = -0.889, P > 0.05). The average scores for standardization, integrity, accuracy, consistency, and timeliness of schistosomiasis surveillance programmes were (1.86 ± 0.35), (1.73 ± 0.46), (1.77 ± 0.43), (1.95 ± 0.21), and (1.73 ± 0.46) points in 22 survey counties, respectively. Among the survey counties, there were 3 counties with insufficient surveillance funds, 6 with incomplete original records of snail surveys, 3 with inconsistent qualitative between original and re-review results of 7 serum samples, 3 with inaccurate snail monitoring results (including longitude and latitude of snail surveillance, and snail survey diagram), 1 with inconsistent original data with total numbers in statistical tables, and 6 with failure in timely data update, entry, and management. Conclusion The quality of national schistosomiasis surveillance programmes is high in surveillance counties in China; however, the timeliness and standardization remain to be further improved. Sustainable fund and material supports and improved capability through training among monitoring professionals are required to ensure the quality of surveillance programmes.

Key words: Schistosomiasis, Surveillance, Quality evaluation

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