Literature DB >> 28111132

An integrated approach for the assessment of the Aedes aegypti and Aedes albopictus global spatial distribution, and determination of the zones susceptible to the development of Zika virus.

José Santos1, Bruno M Meneses2.   

Abstract

The Zika virus, one of the new epidemic diseases, is reported to have affected millions of people in the past year. The suitable climate conditions of the areas where Zika virus has been reported, especially in areas with a high population density, are the main cause of the current outbreak and spread of the disease. Indeed, the suitable climatic conditions of certain territories constitute perfect breading nest for the propagation and outbreak of worldwide diseases. The main objective of this research is to analyze the global distribution and predicted areas of both mosquitoes Ae. aegypti and Ae. albopictus which are the main vectors of Zika virus. Physical (SRTM) and climatic variables (WorldClim) were used to obtain the susceptibility maps based on the optimum conditions for the development of these mosquitoes. The susceptibility model was developed using a Species Distribution Model - correlative model, namely the Maximum Entropy, that used as input the spatial references of both vectors (Dryad Digital Repository). The results show the most important classes of each independent variable used in assessing the presence of each species of mosquitoes and the areas susceptible to the presence of these vector species. It turns out that Ae. aegypti has greater global dispersion than the Ae. albopictus specie, although two common regions stand out as the most prone to the presence of both mosquito species (tropical and subtropical zones). The crossing of these areas of greater susceptibility with areas of greater population density (e.g. India, China, Se of USA and Brazil) shows some agreement, and these areas stand out due to the presence of several records of Zika virus (HealthMap Project). In this sense, through the intersection of susceptibility and human exposure the areas with increased risk of development and spread of Zika virus are pinpointed, suggesting that there may be a new outbreak of this virus in these places, if preventive measures are not adopted.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Ae. aegypti; Ae. albopictus; Spatial analysis; Susceptibility of Zika virus

Mesh:

Year:  2017        PMID: 28111132     DOI: 10.1016/j.actatropica.2017.01.015

Source DB:  PubMed          Journal:  Acta Trop        ISSN: 0001-706X            Impact factor:   3.112


  14 in total

1.  Mapping the spatial distribution of the dengue vector Aedes aegypti and predicting its abundance in northeastern Thailand using machine-learning approach.

Authors:  M S Rahman; Chamsai Pientong; Sumaira Zafar; Tipaya Ekalaksananan; Richard E Paul; Ubydul Haque; Joacim Rocklöv; Hans J Overgaard
Journal:  One Health       Date:  2021-12-04

Review 2.  Quantifying Zika: Advancing the Epidemiology of Zika With Quantitative Models.

Authors:  Lindsay T Keegan; Justin Lessler; Michael A Johansson
Journal:  J Infect Dis       Date:  2017-12-16       Impact factor: 5.226

3.  Wide and increasing suitability for Aedes albopictus in Europe is congruent across distribution models.

Authors:  Sandra Oliveira; Jorge Rocha; Carla A Sousa; César Capinha
Journal:  Sci Rep       Date:  2021-05-10       Impact factor: 4.379

4.  Zika Virus: An Emerging Worldwide Threat.

Authors:  Irfan A Rather; Jameel B Lone; Vivek K Bajpai; Woon K Paek; Jeongheui Lim
Journal:  Front Microbiol       Date:  2017-07-26       Impact factor: 5.640

5.  Consensus and conflict among ecological forecasts of Zika virus outbreaks in the United States.

Authors:  Colin J Carlson; Eric Dougherty; Mike Boots; Wayne Getz; Sadie J Ryan
Journal:  Sci Rep       Date:  2018-03-21       Impact factor: 4.996

6.  Ecological niche modeling of Aedes mosquito vectors of chikungunya virus in southeastern Senegal.

Authors:  Rebecca Richman; Diawo Diallo; Mawlouth Diallo; Amadou A Sall; Oumar Faye; Cheikh T Diagne; Ibrahima Dia; Scott C Weaver; Kathryn A Hanley; Michaela Buenemann
Journal:  Parasit Vectors       Date:  2018-04-19       Impact factor: 3.876

7.  Zika might not be acting alone: Using an ecological study approach to investigate potential co-acting risk factors for an unusual pattern of microcephaly in Brazil.

Authors:  Monica C Campos; Jamille G Dombrowski; Jody Phelan; Claudio R F Marinho; Martin Hibberd; Taane G Clark; Susana Campino
Journal:  PLoS One       Date:  2018-08-15       Impact factor: 3.240

Review 8.  Insecticide Resistance Associated with kdr Mutations in Aedes albopictus: An Update on Worldwide Evidences.

Authors:  Michelangelo Auteri; Francesco La Russa; Valeria Blanda; Alessandra Torina
Journal:  Biomed Res Int       Date:  2018-08-05       Impact factor: 3.411

9.  Application of convolutional neural networks for classification of adult mosquitoes in the field.

Authors:  Daniel Motta; Alex Álisson Bandeira Santos; Ingrid Winkler; Bruna Aparecida Souza Machado; Daniel André Dias Imperial Pereira; Alexandre Morais Cavalcanti; Eduardo Oyama Lins Fonseca; Frank Kirchner; Roberto Badaró
Journal:  PLoS One       Date:  2019-01-14       Impact factor: 3.240

10.  Patterns of spatial genetic structures in Aedes albopictus (Diptera: Culicidae) populations in China.

Authors:  Yong Wei; Jiatian Wang; Zhangyao Song; Yulan He; Zihao Zheng; Peiyang Fan; Dizi Yang; Guofa Zhou; Daibin Zhong; Xueli Zheng
Journal:  Parasit Vectors       Date:  2019-11-21       Impact factor: 3.876

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