A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Biotic factors and occurrence of Lutzomyia longipalpis in endemic area of visceral leishmaniasis, Mato Grosso do Sul, Brazil. | LitMetric

Biotic factors and occurrence of Lutzomyia longipalpis in endemic area of visceral leishmaniasis, Mato Grosso do Sul, Brazil.

Mem Inst Oswaldo Cruz

Programa de Pós-graduação em Doenças Infecciosas e Parasitárias, Faculdade de Medicina Dr Hélio Mandetta, Universidade Federal de Mato Grosso do Sul, Campo Grande, MS, Brasil.

Published: May 2012

AI Article Synopsis

  • The study uses remote sensing to examine how environmental factors affect the distribution of the sandfly species Lutzomyia longipalpis and cases of visceral leishmaniasis (VL) in Campo Grande, Brazil.
  • Sandfly captures were conducted in selected residences within specific buffer zones, with the data being georeferenced and analyzed using GIS software.
  • Results indicated a significant positive correlation between sandfly abundance and both vegetation cover and average NDVI, but no correlation was found with habitat heterogeneity.

Article Abstract

The relationships between environmental exposure to risk agents and health conditions have been studied with the aid of remote sensing imagery, a tool particularly useful in the study of vegetation cover. This study aims to evaluate the influence of environmental variables on the spatial distribution of the abundance of Lutzomyia longipalpis and the reported canine and human visceral leishmaniasis (VL) cases at an urban area of Campo Grande, state of Mato Grosso do Sul. The sandfly captures were performed in 13 residences that were selected by raffle considering four residences or collection station for buffer. These buffers were generated from the central house with about 50, 100 and 200 m from it in an endemic area of VL. The abundance of sandflies and human and canine cases were georreferenced using the GIS software PCI Geomatica. The normalized difference vegetation index (NDVI) and percentage of land covered by vegetation were the environmental variables extracted from a remote sensing IKONOS-2 image. The average NDVI was considered as the complexity of habitat and the standard deviation as the heterogeneity of habitat. One thousand three hundred sixty-seven specimens were collected during the catch. We found a significant positive linear correlation between the abundance of sandflies and the percentage of vegetation cover and average NDVI. However, there was no significant association between habitat heterogeneity and the abundance of these flies.

Download full-text PDF

Source
http://dx.doi.org/10.1590/s0074-02762012000300015DOI Listing

Publication Analysis

Top Keywords

lutzomyia longipalpis
8
endemic area
8
visceral leishmaniasis
8
mato grosso
8
grosso sul
8
remote sensing
8
vegetation cover
8
environmental variables
8
abundance sandflies
8
average ndvi
8

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!