Geospatial methodology for determining the regional prevalence of hospital-reported childhood intussusception in patients from India
© 2024. The Author(s)..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:14 |
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| Enthalten in: |
Scientific reports - 14(2024), 1 vom: 20. März, Seite 6664 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Dixit, Shikha [VerfasserIn] |
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| Links: |
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| Themen: |
Children |
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| Anmerkungen: |
Date Completed 22.03.2024 Date Revised 23.03.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1038/s41598-024-57187-8 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM369987160 |
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| 245 | 1 | 0 | |a Geospatial methodology for determining the regional prevalence of hospital-reported childhood intussusception in patients from India |
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| 500 | |a published: Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2024. The Author(s). | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Children | |
| 650 | 4 | |a GIS | |
| 650 | 4 | |a Geospatial | |
| 650 | 4 | |a Hospital proximity | |
| 650 | 4 | |a India | |
| 650 | 4 | |a Intussusception | |
| 650 | 4 | |a Moran’s I | |
| 650 | 4 | |a Spatial clustering | |
| 700 | 1 | |a Das, Manoja Kumar |e verfasserin |4 aut | |
| 700 | 1 | |a Ramadugu, Durga Chitra |e verfasserin |4 aut | |
| 700 | 1 | |a Arora, Narendra Kumar |e verfasserin |4 aut | |
| 700 | 0 | |a INCLEN Intussusception Surveillance Network Study Group |e verfasserin |4 aut | |
| 700 | 1 | |a Ray, Arindam |e investigator |4 oth | |
| 700 | 1 | |a Wakhlu, Ashish |e investigator |4 oth | |
| 700 | 1 | |a Vyas, Bhadresh R |e investigator |4 oth | |
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