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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Instituto Oswaldo Cruz, Ministério da Saúde
2013-04-01
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Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0074-02762013000200197 |
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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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1725212115852066816 |