Related Experiment Video
Updated: Feb 14, 2026

Natural Product Discovery with LC-MS/MS Diagnostic Fragmentation Filtering: Application for Microcystin Analysis
Published on: May 31, 2019
[Interpretation of Diagnostic Criteria for Kala-azar]
1National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; 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.
Abstract:
Kala-azar was once transmitted in the northern area of the Yangtze River in China, including 16 provinces (cities or autonomous regions). Through the great continuing prevention and control effort, this disease has been effectively controlled in the most of endemic areas. However, because the epidemic factors of the disease are complex, this disease still transmits or sporadically occurs in the western part of China, including 60 counties of Xinjiang, Gansu, Sichuan, Inner Mongolia, Shanxi, and Shaanxi provinces (autonomous regions). Following the Management Measures for Health Criteria, the Diagnostic Criteria for Kala-azar (WS 258-2006) was compiled by the ex-Ministry of Health of the People's Republic of China and it was issued in April 7, 2006 and implemented in December 1, 2006. The Criteria consists of six parts, including the application range, terms and definitions, diagnostic principle, diagnostic standard, and differential diagnosis. Two informative appendices (epidemiology and differential diagnosis) and two normative appendices (immune-detection and etiological examination) are attached. The Criteria provides the technical reference for diagnosis of kala-azar in medical institutions and disease control institutions. Combined with the current epidemic situation of kala-azar in China, this paper interprets the main contents of the Diagnostic Criteria for Kala-azar (WS 258-2006), so as to promote its learning and implementing.
More Related Videos
Related Concept Videos
Criteria for Causality: Bradford Hill Criteria - II
Criteria for Causality: Bradford Hill Criteria - I
Interpreting R Charts
An R chart plots the range of subsets of measurements collected from a process. Each point on the chart represents the range—defined as the difference between the maximum and minimum...
Interpreting Run Charts
Mass Spectrum: Interpretation
Interpretation of Confidence Intervals
Confidence intervals have confidence coefficients that are crucial for their interpretation. The most common confidence coefficients are 0.90, 0.95, and 0.99, which can be written as percentages–90%, 95%, and 99%, respectively.
Suppose a person calculates a confidence interval with a confidence coefficient of 0.95. In that case, they can...

