Temporal clustering of Kawasaki disease cases around the world

Sci Rep. 2021 Nov 19;11(1):22584. doi: 10.1038/s41598-021-01961-5.

Abstract

In a single-site study (San Diego, CA, USA), we previously showed that Kawasaki Disease (KD) cases cluster temporally in bursts of approximately 7 days. These clusters occurred more often than would be expected at random even after accounting for long-term trends and seasonality. This finding raised the question of whether other locations around the world experience similar temporal clusters of KD that might offer clues to disease etiology. Here we combine data from San Diego and nine additional sites around the world with hospitals that care for large numbers of KD patients, as well as two multi-hospital catchment regions. We found that across these sites, KD cases clustered at short time scales and there were anomalously long quiet periods with no cases. Both of these phenomena occurred more often than would be expected given local trends and seasonality. Additionally, we found unusually frequent temporal overlaps of KD clusters and quiet periods between pairs of sites. These findings suggest that regional and planetary range environmental influences create periods of higher or lower exposure to KD triggers that may offer clues to the etiology of KD.

MeSH terms

  • Child
  • Cluster Analysis*
  • Global Health*
  • Hospitals
  • Humans
  • Incidence
  • Italy
  • Linear Models
  • Monte Carlo Method
  • Mucocutaneous Lymph Node Syndrome / diagnosis
  • Mucocutaneous Lymph Node Syndrome / epidemiology*
  • New Zealand
  • Republic of Korea
  • Time Factors
  • United States