Literature DB >> 29772891

The influence of urban heat islands and socioeconomic factors on the spatial distribution of Aedes aegypti larval habitats.

Thiago S De Azevedo1, Brian Patrick Bourke, Rafael Piovezan, Maria Anice M Sallum.   

Abstract

We addressed the potential associations among the temporal and spatial distribution of larval habitats of Aedes (Stegomyia) aegypti, the presence of urban heat islands and socioeconomic factors. Data on larval habitats were collected in Santa Bárbara d'Oeste, São Paulo, Brazil, from 2004 to 2006, and spatial and temporal variations were analysed using a wavelet-based approach. We quantified urban heat islands by calculating surface temperatures using the results of wavelet analyses and grey level transformation from Thematic Mapper images (Landsat 5). Ae. aegypti larval habitats were geo-referenced corresponding to the wavelet analyses to test the potential association between geographical distribution of habitats and surface temperature. In an inhomogeneous spatial point process, we estimated the frequency of occurrence of larval habitats in relation to temperature. The São Paulo State Social Vulnerability Index in the municipality of Santa Barbára d'Oeste was used to test the potential association between presence of larval habitats and social vulnerability. We found abundant Ae. aegypti larval habitats in areas of higher surface temperature and social vulnerability and fewer larval habitats in areas with lower surface temperature and social vulnerability.

Entities:  

Keywords:  Aedes aegypti; Brazil.; Social Vulnerability Index; Spatial analysis; Urban heat island; Wavelets

Mesh:

Year:  2018        PMID: 29772891     DOI: 10.4081/gh.2018.623

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  4 in total

1.  Estimating air temperature using MODIS surface temperature images for assessing Aedes aegypti thermal niche in Bangkok, Thailand.

Authors:  Renaud Misslin; Yvette Vaguet; Alain Vaguet; Éric Daudé
Journal:  Environ Monit Assess       Date:  2018-08-21       Impact factor: 2.513

2.  Predicting Aedes aegypti infestation using landscape and thermal features.

Authors:  Camila Lorenz; Marcia C Castro; Patricia M P Trindade; Maurício L Nogueira; Mariana de Oliveira Lage; José A Quintanilha; Maisa C Parra; Margareth R Dibo; Eliane A Fávaro; Marluci M Guirado; Francisco Chiaravalloti-Neto
Journal:  Sci Rep       Date:  2020-12-10       Impact factor: 4.379

3.  Water tank and swimming pool detection based on remote sensing and deep learning: Relationship with socioeconomic level and applications in dengue control.

Authors:  Higor Souza Cunha; Brenda Santana Sclauser; Pedro Fonseca Wildemberg; Eduardo Augusto Militão Fernandes; Jefersson Alex Dos Santos; Mariana de Oliveira Lage; Camila Lorenz; Gerson Laurindo Barbosa; José Alberto Quintanilha; Francisco Chiaravalloti-Neto
Journal:  PLoS One       Date:  2021-12-09       Impact factor: 3.240

4.  Challenges to Mitigating the Urban Health Burden of Mosquito-Borne Diseases in the Face of Climate Change.

Authors:  Antonio Ligsay; Olivier Telle; Richard Paul
Journal:  Int J Environ Res Public Health       Date:  2021-05-10       Impact factor: 3.390

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.