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Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019
BACKGROUND: Infant mortality is an important health indicator of a population given its strong link to socioeconomic status, health service access, and quality and maternal health. The declining trend of Infant Mortality Rate has been observed in India where it reduced from 89 deaths per 1000 live b...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Wolters Kluwer - Medknow
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10263054/ https://www.ncbi.nlm.nih.gov/pubmed/37323726 http://dx.doi.org/10.4103/ijcm.ijcm_608_22 |
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author | Sachdeva, Aman Verma, Ramesh Agrawal, Ginni Vinay Satija, Jitesh |
author_facet | Sachdeva, Aman Verma, Ramesh Agrawal, Ginni Vinay Satija, Jitesh |
author_sort | Sachdeva, Aman |
collection | PubMed |
description | BACKGROUND: Infant mortality is an important health indicator of a population given its strong link to socioeconomic status, health service access, and quality and maternal health. The declining trend of Infant Mortality Rate has been observed in India where it reduced from 89 deaths per 1000 live births in 1990 to 28 deaths per 1000d live births in 2019. Most of the studies regarding the trend of infant mortality are state-based, however, state-level infant mortality has masked the intradistrict clustering of individual infant deaths. Hence, this study was planned with an objective to study the trend of infant mortality at the district level. MATERIAL AND METHODS: A retrospective study was conducted in the district Rohtak of Haryana using the data collected regarding infant deaths. The collected data regarding addresses were geocoded. The resulting layer was then analyzed using QGIS v3.10. The descriptive data was analyzed using SPSS v20.0. RESULT: In total, 1336 infant deaths during the study period were included. A declining trend of infant mortality was observed over the study period. The number of grids (25 km(2)) reduced from 18 in 2016 to 10 in 2019 depicting a reduction in the areas with more than expected count. CONCLUSION: This study emphasizes on the importance of using the geographic information science technique in identifying local hotspots within the district so as to find areas that need more support and observation. |
format | Online Article Text |
id | pubmed-10263054 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Wolters Kluwer - Medknow |
record_format | MEDLINE/PubMed |
spelling | pubmed-102630542023-06-15 Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 Sachdeva, Aman Verma, Ramesh Agrawal, Ginni Vinay Satija, Jitesh Indian J Community Med Original Article BACKGROUND: Infant mortality is an important health indicator of a population given its strong link to socioeconomic status, health service access, and quality and maternal health. The declining trend of Infant Mortality Rate has been observed in India where it reduced from 89 deaths per 1000 live births in 1990 to 28 deaths per 1000d live births in 2019. Most of the studies regarding the trend of infant mortality are state-based, however, state-level infant mortality has masked the intradistrict clustering of individual infant deaths. Hence, this study was planned with an objective to study the trend of infant mortality at the district level. MATERIAL AND METHODS: A retrospective study was conducted in the district Rohtak of Haryana using the data collected regarding infant deaths. The collected data regarding addresses were geocoded. The resulting layer was then analyzed using QGIS v3.10. The descriptive data was analyzed using SPSS v20.0. RESULT: In total, 1336 infant deaths during the study period were included. A declining trend of infant mortality was observed over the study period. The number of grids (25 km(2)) reduced from 18 in 2016 to 10 in 2019 depicting a reduction in the areas with more than expected count. CONCLUSION: This study emphasizes on the importance of using the geographic information science technique in identifying local hotspots within the district so as to find areas that need more support and observation. Wolters Kluwer - Medknow 2023 2023-04-07 /pmc/articles/PMC10263054/ /pubmed/37323726 http://dx.doi.org/10.4103/ijcm.ijcm_608_22 Text en Copyright: © 2023 Indian Journal of Community Medicine https://creativecommons.org/licenses/by-nc-sa/4.0/This is an open access journal, and articles are distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as appropriate credit is given and the new creations are licensed under the identical terms. |
spellingShingle | Original Article Sachdeva, Aman Verma, Ramesh Agrawal, Ginni Vinay Satija, Jitesh Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 |
title | Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 |
title_full | Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 |
title_fullStr | Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 |
title_full_unstemmed | Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 |
title_short | Epidemiological Profile and Spatio-Temporal Pattern of Infant Deaths in a District of North India during 2016-2019 |
title_sort | epidemiological profile and spatio-temporal pattern of infant deaths in a district of north india during 2016-2019 |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10263054/ https://www.ncbi.nlm.nih.gov/pubmed/37323726 http://dx.doi.org/10.4103/ijcm.ijcm_608_22 |
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