Literature DB >> 23428518

The role of remote sensing and GIS for spatial prediction of vector-borne diseases transmission: a systematic review.

M Palaniyandi1.   

Abstract

There have been several attempts made to the appreciation of remote sensing and GIS for the study of vectors, biodiversity, vector presence, vector abundance and the vector-borne diseases with respect to space and time. This study was made for reviewing and appraising the potential use of remote sensing and GIS applications for spatial prediction of vector-borne diseases transmission. The nature of the presence and the abundance of vectors and vector-borne diseases, disease infection and the disease transmission are not ubiquitous and are confined with geographical, environmental and climatic factors, and are localized. The presence of vectors and vector-borne diseases is most complex in nature, however, it is confined and fueled by the geographical, climatic and environmental factors including man-made factors. The usefulness of the present day availability of the information derived from the satellite data including vegetation indices of canopy cover and its density, soil types, soil moisture, soil texture, soil depth, etc. is integrating the information in the expert GIS engine for the spatial analysis of other geoclimatic and geoenvironmental variables. The present study gives the detailed information on the classical studies of the past and present, and the future role of remote sensing and GIS for the vector-borne diseases control. The ecological modeling directly gives us the relevant information to understand the spatial variation of the vector biodiversity, vector presence, vector abundance and the vector-borne diseases in association with geoclimatic and the environmental variables. The probability map of the geographical distribution and seasonal variations of horizontal and vertical distribution of vector abundance and its association with vector -borne diseases can be obtained with low cost remote sensing and GIS tool with reliable data and speed.

Entities:  

Mesh:

Year:  2012        PMID: 23428518

Source DB:  PubMed          Journal:  J Vector Borne Dis        ISSN: 0972-9062            Impact factor:   1.688


  9 in total

Review 1.  Integrated Mosquito Management: Is Precision Control a Luxury or Necessity?

Authors:  Caroline Fouet; Colince Kamdem
Journal:  Trends Parasitol       Date:  2018-11-13

2.  Land use and land cover change and its impacts on dengue dynamics in China: A systematic review.

Authors:  Panjun Gao; Eva Pilot; Cassandra Rehbock; Marie Gontariuk; Simone Doreleijers; Li Wang; Thomas Krafft; Pim Martens; Qiyong Liu
Journal:  PLoS Negl Trop Dis       Date:  2021-10-20

3.  Analysis of bluetongue disease epizootics in sheep of Andhra Pradesh, India using spatial and temporal autocorrelation.

Authors:  Ravichandran Karthikeyan; Ramkumar N Rupner; Shiva Reddy Koti; Nagaraj Jaganathasamy; Michael V Lalrinzuala; Sachin Sharma; Shikha Tamta; Sukdeb Nandi; Yashpal Singh Malik; Zunjar Baburao Dubal; Dharmendra Kumar Sinha; Bhoj R Singh; Obli Rajendran Vinodhkumar
Journal:  Vet Res Commun       Date:  2022-02-23       Impact factor: 2.816

Review 4.  Human Kinetoplastid Protozoan Infections: Where Are We Going Next?

Authors:  Alessandra Almeida Filardy; Kamila Guimarães-Pinto; Marise Pinheiro Nunes; Ketiuce Zukeram; Lara Fliess; Ludimila Pereira; Danielle Oliveira Nascimento; Luciana Conde; Alexandre Morrot
Journal:  Front Immunol       Date:  2018-07-25       Impact factor: 7.561

5.  Spatiotemporal characterisation and risk factor analysis of malaria outbreak in Cabo Verde in 2017.

Authors:  Adilson José DePina; Alex Jailson Barbosa Andrade; Abdoulaye Kane Dia; António Lima Moreira; Ullardina Domingos Furtado; Helga Baptista; Ousmane Faye; Ibrahima Seck; El Hadji Amadou Niang
Journal:  Trop Med Health       Date:  2019-01-07

6.  Prone Regions of Zoonotic Cutaneous Leishmaniasis in Southwest of Iran: Combination of Hierarchical Decision Model (AHP) and GIS.

Authors:  Elham Jahanifard; Ahmad Ali Hanafi-Bojd; Hossein Nasiri; Hamid Reza Matinfar; Zabihollah Charrahy; Mohammad Reza Abai; Mohammad Reza Yaghoobi-Ershadi; Amir Ahmad Akhavan
Journal:  J Arthropod Borne Dis       Date:  2019-09-30       Impact factor: 1.198

7.  An Integrated, Tentative Remote-Sensing Approach Based on NDVI Entropy to Model Canine Distemper Virus in Wildlife and to Prompt Science-Based Management Policies.

Authors:  Emanuele Carella; Tommaso Orusa; Annalisa Viani; Daniela Meloni; Enrico Borgogno-Mondino; Riccardo Orusa
Journal:  Animals (Basel)       Date:  2022-04-18       Impact factor: 3.231

Review 8.  Remote Sensing-Driven Climatic/Environmental Variables for Modelling Malaria Transmission in Sub-Saharan Africa.

Authors:  Osadolor Ebhuoma; Michael Gebreslasie
Journal:  Int J Environ Res Public Health       Date:  2016-06-14       Impact factor: 3.390

9.  Effect of Climate and Land Use on the Spatio-Temporal Variability of Tick-Borne Bacteria in Europe.

Authors:  Roberto Rosà; Veronica Andreo; Valentina Tagliapietra; Ivana Baráková; Daniele Arnoldi; Heidi Christine Hauffe; Mattia Manica; Fausta Rosso; Lucia Blaňarová; Martin Bona; Marketa Derdáková; Zuzana Hamšíková; Maria Kazimírová; Jasna Kraljik; Elena Kocianová; Lenka Mahríková; Lenka Minichová; Ladislav Mošanský; Mirko Slovák; Michal Stanko; Eva Špitalská; Els Ducheyne; Markus Neteler; Zdenek Hubálek; Ivo Rudolf; Kristyna Venclikova; Cornelia Silaghi; Evelyn Overzier; Robert Farkas; Gábor Földvári; Sándor Hornok; Nóra Takács; Annapaola Rizzoli
Journal:  Int J Environ Res Public Health       Date:  2018-04-12       Impact factor: 3.390

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.