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Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai
BACKGROUND: Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893554/ https://www.ncbi.nlm.nih.gov/pubmed/24400592 http://dx.doi.org/10.1186/1475-2875-13-14 |
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author | Kumar, Divya Subash Andimuthu, Ramachandran Rajan, Rupa Venkatesan, Mada Suresh |
author_facet | Kumar, Divya Subash Andimuthu, Ramachandran Rajan, Rupa Venkatesan, Mada Suresh |
author_sort | Kumar, Divya Subash |
collection | PubMed |
description | BACKGROUND: Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria prevalence and the relationship with other factors in Chennai during 2005-2011. METHODS: Data on zone-wise and ward-wise monthly malaria positive cases were collected from the Vector Control Office, Chennai Corporation, for the year 2005 to 2011 and verified using field data. This data was used to calculate the prevalence among thousand people. Hotspot analysis for all the years in the study period was done to observe the spatial trend. Association of environmental factors like altitude, population density and climatic variables was assessed using ArcGIS 9.3 version and SPSS 11.5. Pearson’s correlation of climate parameters at 95% and 99% was considered to be the most significant. Social parameters of the highly malaria prone region were evaluated through a structured random questionnaire field survey. RESULTS: Among the ten zones of Chennai Corporation, Basin Bridge zone showed high malaria prevalence during the study period. The ‘hotspot’ analysis of malaria prevalence showed the emergence of newer hotspots in the Adyar zone. These hotspots of high prevalence are places of moderately populated and moderately elevated areas. The prevalence of malaria in Chennai could be due to rainfall and temperature, as there is a significant correlation with monthly rainfall and one month lag of monthly mean temperature. Further it has been observed that the socioeconomic status of people in the malaria hotspot regions and unhygienic living conditions were likely to aggravate the malaria problem. CONCLUSION: Malaria hotspots will be the best method to use for targeting malaria control activities. Proper awareness and periodical monitoring of malaria is one of the quintessential steps to control this infectious disease. It has been argued that identifying the key environmental conditions favourable for the occurrence and spread of malaria must be integrated and documented to aid future predictions of malaria in Chennai. |
format | Online Article Text |
id | pubmed-3893554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-38935542014-01-17 Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai Kumar, Divya Subash Andimuthu, Ramachandran Rajan, Rupa Venkatesan, Mada Suresh Malar J Research BACKGROUND: Urban malaria is considered to be one of the most significant infectious diseases due to varied socioeconomic problems especially in tropical countries like India. Among the south Indian cities, Chennai is endemic for malaria. The present study aimed to identify the hot spots of malaria prevalence and the relationship with other factors in Chennai during 2005-2011. METHODS: Data on zone-wise and ward-wise monthly malaria positive cases were collected from the Vector Control Office, Chennai Corporation, for the year 2005 to 2011 and verified using field data. This data was used to calculate the prevalence among thousand people. Hotspot analysis for all the years in the study period was done to observe the spatial trend. Association of environmental factors like altitude, population density and climatic variables was assessed using ArcGIS 9.3 version and SPSS 11.5. Pearson’s correlation of climate parameters at 95% and 99% was considered to be the most significant. Social parameters of the highly malaria prone region were evaluated through a structured random questionnaire field survey. RESULTS: Among the ten zones of Chennai Corporation, Basin Bridge zone showed high malaria prevalence during the study period. The ‘hotspot’ analysis of malaria prevalence showed the emergence of newer hotspots in the Adyar zone. These hotspots of high prevalence are places of moderately populated and moderately elevated areas. The prevalence of malaria in Chennai could be due to rainfall and temperature, as there is a significant correlation with monthly rainfall and one month lag of monthly mean temperature. Further it has been observed that the socioeconomic status of people in the malaria hotspot regions and unhygienic living conditions were likely to aggravate the malaria problem. CONCLUSION: Malaria hotspots will be the best method to use for targeting malaria control activities. Proper awareness and periodical monitoring of malaria is one of the quintessential steps to control this infectious disease. It has been argued that identifying the key environmental conditions favourable for the occurrence and spread of malaria must be integrated and documented to aid future predictions of malaria in Chennai. BioMed Central 2014-01-08 /pmc/articles/PMC3893554/ /pubmed/24400592 http://dx.doi.org/10.1186/1475-2875-13-14 Text en Copyright © 2014 Kumar et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Kumar, Divya Subash Andimuthu, Ramachandran Rajan, Rupa Venkatesan, Mada Suresh Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai |
title | Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai |
title_full | Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai |
title_fullStr | Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai |
title_full_unstemmed | Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai |
title_short | Spatial trend, environmental and socioeconomic factors associated with malaria prevalence in Chennai |
title_sort | spatial trend, environmental and socioeconomic factors associated with malaria prevalence in chennai |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3893554/ https://www.ncbi.nlm.nih.gov/pubmed/24400592 http://dx.doi.org/10.1186/1475-2875-13-14 |
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