错误:搜索内容不能为空,请输入英文关键词
错误:关键词超出字数限制,请精简
高级检索

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

  • Shikha Dixit,
  • Manoja Kumar Das,
  • Durga Chitra Ramadugu,
  • Narendra Kumar Arora,
  • Arindam Ray,
  • Ashish Wakhlu,
  • Bhadresh R. Vyas,
  • Javeed Iqbal Bhat,
  • Jayanta K. Goswami,
  • John Mathai,
  • K. Kameswari,
  • Lalit Bharadia,
  • Lalit Sankhe,
  • M. K. Ajaya Kumar,
  • Neelam Mohan,
  • Pradeep K. Jena,
  • Rachita Sarangi,
  • Rashmi Shad,
  • Sanjib K. Debbarma,
  • J. Shyamala,
  • Simmi K. Ratan,
  • Suman Sarkar,
  • Vijayendra Kumar,
  • Anand P. Dubey,
  • Atul Gupta,
  • Bikasha Bihary Tripathy,
  • Cenita J. Sam,
  • Gowhar Nazir Mufti,
  • Harsh Trivedi,
  • Jimmy Shad,
  • Kaushik Lahiri,
  • Meera Luthra,
  • P. Padmalatha,
  • Rakesh Kumar,
  • Ruchirendu Sarkar,
  • A. Santosh Kumar,
  • Subrat Kumar Sahoo,
  • Sunil K. Ghosh,
  • Sushant Mane,
  • Bashir Ahmad Charoo,
  • G. Rajendra Prasad,
  • S. Harish Kumar,
  • K. Jothilakshmi,
  • Nihar Ranjan Sarkar,
  • Pavai Arunachalam,
  • Satya S. G. Mohapatra,
  • Saurabh Garge

摘要

Both developed and developing countries carry a large burden of pediatric intussusception. Sentinel site surveillance-based studies have highlighted the difference in the regional incidence of intussusception. The objectives of this manuscript were to geospatially map the locations of hospital-confirmed childhood intussusception cases reported from sentinel hospitals, identify clustering and dispersion, and reveal the potential causes of the underlying pattern. Geospatial analysis revealed positive clustering patterns, i.e., a Moran’s I of 0.071 at a statistically significant (p value < 0.0010) Z score of 16.14 for the intussusception cases across India (cases mapped n = 2221), with 14 hotspots in two states (Kerala = 6 and Tamil Nadu = 8) at the 95% CI. Granular analysis indicated that 67% of the reported cases resided < 50 km from the sentinel hospitals, and the average travel distance to the sentinel hospital from the patient residence was calculated as 47 km (CI 95% min 1 km–max 378 km). Easy access and facility referral preferences were identified as the main causes of the existing clustering pattern of the disease. We recommend designing community-based surveillance studies to improve the understanding of the prevalence and regional epidemiological burden of the disease.