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Appraisal of Phlebotomus argentipes habitat suitability using a remotely sensed index in the kala-azar endemic focus of Bihar, India
Memórias do Instituto Oswaldo Cruz; Kesari, Shreekant; Bhunia, Gouri Sankar; Chatterjee, Nandini; Kumar, Vijay; Mandal, Rakesh; Das, Pradeep.
  • Kesari, Shreekant; Indian Council of Medical Research. Rajendra Memorial Research Institute of Medical Sciences. Department of Vector Biology and Control. Agamkuan. IN
  • Bhunia, Gouri Sankar; Indian Council of Medical Research. Rajendra Memorial Research Institute of Medical Sciences. Department of Vector Biology and Control. Agamkuan. IN
  • Chatterjee, Nandini; Indian Council of Medical Research. Rajendra Memorial Research Institute of Medical Sciences. Department of Vector Biology and Control. Agamkuan. IN
  • Kumar, Vijay; Indian Council of Medical Research. Rajendra Memorial Research Institute of Medical Sciences. Department of Vector Biology and Control. Agamkuan. IN
  • Mandal, Rakesh; Indian Council of Medical Research. Rajendra Memorial Research Institute of Medical Sciences. Department of Vector Biology and Control. Agamkuan. IN
  • Das, Pradeep; Indian Council of Medical Research. Rajendra Memorial Research Institute of Medical Sciences. Department of Vector Biology and Control. Agamkuan. IN
Mem. Inst. Oswaldo Cruz ; 108(2): 197-204, abr. 2013. tab, graf
Article in English | LILACS | ID: lil-670395
ABSTRACT
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.
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Full text: Available Index: LILACS (Americas) Main subject: Phlebotomus / Ecosystem / Remote Sensing Technology / Insect Vectors Type of study: Prognostic study Limits: Animals / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Mem. Inst. Oswaldo Cruz Journal subject: Tropical Medicine / Parasitology Year: 2013 Type: Article Affiliation country: India Institution/Affiliation country: Indian Council of Medical Research/IN

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Full text: Available Index: LILACS (Americas) Main subject: Phlebotomus / Ecosystem / Remote Sensing Technology / Insect Vectors Type of study: Prognostic study Limits: Animals / Female / Humans / Male Country/Region as subject: Asia Language: English Journal: Mem. Inst. Oswaldo Cruz Journal subject: Tropical Medicine / Parasitology Year: 2013 Type: Article Affiliation country: India Institution/Affiliation country: Indian Council of Medical Research/IN