CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES ›› 2021, Vol. 39 ›› Issue (1): 88-92.doi: 10.12140/j.issn.1000-7423.2021.01.013

• ORIGINAL ARTICLES • Previous Articles     Next Articles

The design and interpretation of sampling for the national survey on important parasitic diseases in 2014—2015 in China

QIAN Men-bao1(), CHEN Ying-dan1, ZHU Hui-hui1, LIU Heng-hui2, ZHOU Chang-hai1, ZHU Ting-jun1, XU Long-qi1, LI Shi-zhu1, ZHOU Xiao-nong1,*()   

  1. 1 National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Chinese Center for Tropical Diseases Research; WHO Collaborating Centre for Tropical Diseases; National Center for International Research on Tropical Diseases, Ministry of Science and Technology; Key Laboratory of Parasite and Vector Biology, Ministry of Health, Shanghai 200025, China
    2 Beijing YuRong Medical Data Technology Co. Ltd., Beijing 100029, China
  • Received:2020-06-10 Revised:2020-08-01 Online:2021-02-28 Published:2021-03-10
  • Contact: ZHOU Xiao-nong E-mail:qianmb@nipd.chinacdc.cn;zhouxn1@chinacdc.cn

Abstract:

A national survey on important parasitic diseases was implemented in China between 2014 and 2015. This survey covered all the 31 provinces (autonomous regions, municipalities) in the mainland of China, using the multiple-stage stratified cluster sampling strategy. This survey was carried out in two types of area, the rural and the urban areas. The sampling in rural areas was based on the prevalence of soil-transmitted nematodiasis, using stratifying factors of province, ecological region and economy. The sampling in urban areas was based on the prevalence of clonorchiasis, which lead to categorize into five types of region at the national level, among them, four highly endemic provinces applied the sampling according to the local clonorchiasis prevalence. The sampling design in this national survey fully took into account the differences in parasitic diseases and populations to maximize the representation of samples.

Key words: Important parasitic diseases, Cross-sectional survey, Sampling design, China

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