Geospatial methodology for determining the regional prevalence of hospital-reported childhood intussusception in

Shikha Dixit1, Manoja Kumar Das2, Durga Chitra Ramadugu1

  • 1The INCLEN Trust International, New Delhi, India.

Scientific Reports
|March 21, 2024
PubMed

Insights

Pediatric intussusception cases in India show significant geographic clustering, with most cases concentrated near sentinel hospitals. This pattern is driven by factors like easy access and referral preferences, suggesting a need for community-based surveillance.

Area of Science:

  • Pediatric epidemiology
  • Geospatial analysis
  • Public health surveillance

Background:

  • Pediatric intussusception presents a significant global health burden, with notable regional variations in incidence.
  • Sentinel site surveillance has been instrumental in identifying these incidence differences.

Purpose of the Study:

  • To geospatially map childhood intussusception cases in India.
  • To identify spatial patterns, including clustering and dispersion.
  • To investigate potential causes for observed epidemiological patterns.

Main Methods:

  • Geospatial analysis of 2221 hospital-confirmed pediatric intussusception cases across India.
  • Moran's I statistic and Z-score analysis to assess spatial autocorrelation.
  • Hotspot analysis to identify geographical clusters.
  • Analysis of patient residence proximity to sentinel hospitals.

Main Results:

  • Significant positive spatial clustering of intussusception cases was observed across India (Moran's I = 0.071, p < 0.0010).
  • Fourteen distinct hotspots were identified in Kerala and Tamil Nadu.
  • 67% of cases resided within 50 km of sentinel hospitals, with an average travel distance of 47 km.

Conclusions:

  • Geographic clustering of pediatric intussusception in India is strongly associated with proximity to sentinel hospitals.
  • Easy access to healthcare facilities and referral patterns are key drivers of this clustering.
  • Community-based surveillance studies are recommended to better understand disease prevalence and epidemiology.