Visceral leishmaniasis, or kala-azar, is recognised as a serious emerging public health problem in India. In this study, environmental parameters, such as land surface temperature (LST) and renormalised difference vegetation indices (RDVI), were used to delineate the association between environmenta...

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Main Authors: Shreekant Kesari, Gouri Sankar Bhunia, Nandini Chatterjee, Vijay Kumar, Rakesh Mandal, Pradeep Das
Format: Article
Language:English
Published: Instituto Oswaldo Cruz, Ministério da Saúde 2013-04-01
Series:Memórias do Instituto Oswaldo Cruz.
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000200197
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spelling doaj-aa131ff4081141b284f8a5554b6b22882020-11-25T01:00:54ZengInstituto Oswaldo Cruz, Ministério da SaúdeMemórias do Instituto Oswaldo Cruz.0074-02761678-80602013-04-011082197204Shreekant KesariGouri Sankar BhuniaNandini ChatterjeeVijay KumarRakesh MandalPradeep DasVisceral leishmaniasis, or kala-azar, is recognised as a serious emerging public health problem in India. In this study, environmental parameters, such as land surface temperature (LST) and renormalised difference vegetation indices (RDVI), were used to delineate the association between environmental variables and Phlebotomus argentipes abundance in a representative endemic region of Bihar, India. The adult P. argentipes were collected between September 2009-February 2010 using the hand-held aspirator technique. The distribution of P. argentipes was analysed with the LST and RDVI of the peak and lean seasons. The association between environmental covariates and P. argentipes density was analysed a multivariate linear regression model. The sandfly density at its maximum in September, whereas the minimum density was recorded in January. The regression model indicated that the season, minimum LST, mean LST and mean RDVI were the best environmental covariates for the P. argentipes distribution. The final model indicated that nearly 74% of the variance of sandfly density could be explained by these environmental covariates. This approach might be useful for mapping and predicting the distribution of P. argentipes, which may help the health agencies that are involved in the kala-azar control programme focus on high-risk areas.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000200197Phlebotomus argentipesland surface temperaturerenormalised difference vegetation indiceskala-azar
collection DOAJ
language English
format Article
sources DOAJ
author Shreekant Kesari
Gouri Sankar Bhunia
Nandini Chatterjee
Vijay Kumar
Rakesh Mandal
Pradeep Das
spellingShingle Shreekant Kesari
Gouri Sankar Bhunia
Nandini Chatterjee
Vijay Kumar
Rakesh Mandal
Pradeep Das
Memórias do Instituto Oswaldo Cruz.
Phlebotomus argentipes
land surface temperature
renormalised difference vegetation indices
kala-azar
author_facet Shreekant Kesari
Gouri Sankar Bhunia
Nandini Chatterjee
Vijay Kumar
Rakesh Mandal
Pradeep Das
author_sort Shreekant Kesari
publisher Instituto Oswaldo Cruz, Ministério da Saúde
series Memórias do Instituto Oswaldo Cruz.
issn 0074-0276
1678-8060
publishDate 2013-04-01
description Visceral leishmaniasis, or kala-azar, is recognised as a serious emerging public health problem in India. In this study, environmental parameters, such as land surface temperature (LST) and renormalised difference vegetation indices (RDVI), were used to delineate the association between environmental variables and Phlebotomus argentipes abundance in a representative endemic region of Bihar, India. The adult P. argentipes were collected between September 2009-February 2010 using the hand-held aspirator technique. The distribution of P. argentipes was analysed with the LST and RDVI of the peak and lean seasons. The association between environmental covariates and P. argentipes density was analysed a multivariate linear regression model. The sandfly density at its maximum in September, whereas the minimum density was recorded in January. The regression model indicated that the season, minimum LST, mean LST and mean RDVI were the best environmental covariates for the P. argentipes distribution. The final model indicated that nearly 74% of the variance of sandfly density could be explained by these environmental covariates. This approach might be useful for mapping and predicting the distribution of P. argentipes, which may help the health agencies that are involved in the kala-azar control programme focus on high-risk areas.
topic Phlebotomus argentipes
land surface temperature
renormalised difference vegetation indices
kala-azar
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000200197
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