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A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand
BACKGROUND & OBJECTIVES: The presence of efficient malaria vectors namely Anopeles culicifacies, An. fluviatilis and An. annularis (Diptera: Culicidae), rapid industrialization causing large influx of population and poor health infrastructure are some of the factors that make malaria an importan...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Medknow Publications & Media Pvt Ltd
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573598/ https://www.ncbi.nlm.nih.gov/pubmed/23287124 |
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author | Saxena, Rekha Nagpal, B.N. Das, M.K. Srivastava, Aruna Gupta, Sanjeev Kumar Kumar, Anil Jeyaseelan, A.T. Baraik, Vijay Kumar |
author_facet | Saxena, Rekha Nagpal, B.N. Das, M.K. Srivastava, Aruna Gupta, Sanjeev Kumar Kumar, Anil Jeyaseelan, A.T. Baraik, Vijay Kumar |
author_sort | Saxena, Rekha |
collection | PubMed |
description | BACKGROUND & OBJECTIVES: The presence of efficient malaria vectors namely Anopeles culicifacies, An. fluviatilis and An. annularis (Diptera: Culicidae), rapid industrialization causing large influx of population and poor health infrastructure are some of the factors that make malaria an important public health problem in Ranchi, the capital of Jharkhand State, India. A geographical information system (GIS) based retrospective study using spatial statistical tools was initiated in 328 subcentres of 14 primary health centres (PHCs) of the district using malaria epidemiological data of three years (2007-2009) to identify spatial distribution pattern of Plasmodium vivax (Pv) and Plasmodium falciparum (Pf) occurrence, delineation of hot spots and to map directional distribution trend of Pf spread to help formulate evidence-based policy and to prioritize control during 2011. METHODS: Spatial statistics tools like Global Moran's I index, Getis-Ord Gi(*) and Standard Deviational Ellipse were used in GIS domain for analysis. RESULTS: Spatial distribution pattern of Pv occurrence was found random while Pf distribution was significantly clustered. During 2007-2009, the number of subcentres under Pf hot spot category exhibited downward trend while high Pf risk subcentres exhibited upward trend. One consistent Pf hot spot consisting of five subcentres was identified in Silli PHC. During 2009, one Pf hot spot consisting of 20 subcentres and 18 subcentres under high Pf risk category were identified in Angara, Silli, Burmu and Kanke PHCs. A shifting trend in Pf spread was noticed from north-west to western direction from 2008 onwards. INTERPRETATION & CONCLUSIONS: The study recommended priority control in 20 Pf hot spot and 18 high Pf risk reporting subcentres including five consistent Pf hot spot subcentres in Angara, Silli, Burmu and Kanke PHCs during 2011 to address grave malaria situation in the district in a cost-effective manner. |
format | Online Article Text |
id | pubmed-3573598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Medknow Publications & Media Pvt Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-35735982013-02-22 A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand Saxena, Rekha Nagpal, B.N. Das, M.K. Srivastava, Aruna Gupta, Sanjeev Kumar Kumar, Anil Jeyaseelan, A.T. Baraik, Vijay Kumar Indian J Med Res Original Article BACKGROUND & OBJECTIVES: The presence of efficient malaria vectors namely Anopeles culicifacies, An. fluviatilis and An. annularis (Diptera: Culicidae), rapid industrialization causing large influx of population and poor health infrastructure are some of the factors that make malaria an important public health problem in Ranchi, the capital of Jharkhand State, India. A geographical information system (GIS) based retrospective study using spatial statistical tools was initiated in 328 subcentres of 14 primary health centres (PHCs) of the district using malaria epidemiological data of three years (2007-2009) to identify spatial distribution pattern of Plasmodium vivax (Pv) and Plasmodium falciparum (Pf) occurrence, delineation of hot spots and to map directional distribution trend of Pf spread to help formulate evidence-based policy and to prioritize control during 2011. METHODS: Spatial statistics tools like Global Moran's I index, Getis-Ord Gi(*) and Standard Deviational Ellipse were used in GIS domain for analysis. RESULTS: Spatial distribution pattern of Pv occurrence was found random while Pf distribution was significantly clustered. During 2007-2009, the number of subcentres under Pf hot spot category exhibited downward trend while high Pf risk subcentres exhibited upward trend. One consistent Pf hot spot consisting of five subcentres was identified in Silli PHC. During 2009, one Pf hot spot consisting of 20 subcentres and 18 subcentres under high Pf risk category were identified in Angara, Silli, Burmu and Kanke PHCs. A shifting trend in Pf spread was noticed from north-west to western direction from 2008 onwards. INTERPRETATION & CONCLUSIONS: The study recommended priority control in 20 Pf hot spot and 18 high Pf risk reporting subcentres including five consistent Pf hot spot subcentres in Angara, Silli, Burmu and Kanke PHCs during 2011 to address grave malaria situation in the district in a cost-effective manner. Medknow Publications & Media Pvt Ltd 2012-11 /pmc/articles/PMC3573598/ /pubmed/23287124 Text en Copyright: © The Indian Journal of Medical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Saxena, Rekha Nagpal, B.N. Das, M.K. Srivastava, Aruna Gupta, Sanjeev Kumar Kumar, Anil Jeyaseelan, A.T. Baraik, Vijay Kumar A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand |
title | A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand |
title_full | A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand |
title_fullStr | A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand |
title_full_unstemmed | A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand |
title_short | A spatial statistical approach to analyze malaria situation at micro level for priority control in Ranchi district, Jharkhand |
title_sort | spatial statistical approach to analyze malaria situation at micro level for priority control in ranchi district, jharkhand |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3573598/ https://www.ncbi.nlm.nih.gov/pubmed/23287124 |
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