Detecting nested clusters of human alveolar echinococcosis

Area of Science:

• Epidemiology
• Spatial Analysis
• Public Health

Background:

• Recent shifts in Eurasian alveolar echinococcosis (AE) epidemiology raise concerns for human health.
• A comprehensive evaluation of the current epidemiological landscape is necessary.

Purpose of the Study:

• To investigate the utility of a National Register for identifying intricate, multi-scale distribution patterns of human AE.
• To analyze spatial and temporal variations in AE case clusters.

Main Methods:

• Utilized data from the FrancEchino register (1982-2011) for human AE cases diagnosed in France.
• Employed Kulldorff spatial scan analysis to detect non-random case occurrences.
• Developed a novel exploratory method for detecting nested disease clusters at multiple levels.

Main Results:

• The study identified at least four distinct levels of disease clustering over the study period.
• Spatial variations in cluster locations were observed over time.
• Confirmed a multi-scale, clustered distribution of human AE.

Conclusions:

• National Human AE registers, despite potential biases, offer the most accurate representation of AE distribution across various scales.
• The findings provide a foundation for further research into the underlying processes driving AE distribution.