Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Correction: Javaid et al. WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases. <i>Int. J. Environ. Res. Public Health</i> 2023, <i>20</i>, 3740.

International journal of environmental research and public health·2025
Same author

Correction: Oluwasanmi et al. Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction. <i>Sensors</i> 2023, <i>23</i>, 3836.

Sensors (Basel, Switzerland)·2025
Same author

Comparing malaria risk exposure in rural Cambodia population using GPS tracking and questionnaires.

Malaria journal·2024
Same author

Multi-Head Spatiotemporal Attention Graph Convolutional Network for Traffic Prediction.

Sensors (Basel, Switzerland)·2023
Same author

Automatic Hybrid Access Control in SCADA-Enabled IIoT Networks Using Machine Learning.

Sensors (Basel, Switzerland)·2023
Same author

WebGIS-Based Real-Time Surveillance and Response System for Vector-Borne Infectious Diseases.

International journal of environmental research and public health·2023

Related Experiment Video

Updated: May 18, 2026

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

Analyzing the spatio-temporal relationship between dengue vector larval density and land-use using factor analysis

Muhammad Shahzad Sarfraz1, Nitin K Tripathi, Taravudh Tipdecho

  • 1Remote Sensing and GIS, School of Engineering and Technology, Asian Institute of Technology (AIT), P,O, Box 4, Pathumthani 12120, Klong Luang, Thailand.

BMC Public Health
|October 10, 2012
PubMed
Summary

Land-use types significantly influence dengue vector breeding. Identifying these areas, such as rice paddies and forests, helps predict outbreaks and implement control measures for public health.

More Related Videos

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus
10:35

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Related Experiment Videos

Last Updated: May 18, 2026

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
10:49

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

Published on: March 16, 2019

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus
10:35

Vector Competence Analyses on Aedes aegypti Mosquitoes using Zika Virus

Published on: May 31, 2020

Area of Science:

  • Environmental Science
  • Epidemiology
  • Public Health

Background:

  • Dengue is a growing global threat, expanding from tropical to temperate regions.
  • Vector populations (Aedes aegypti, Aedes albopictus) are key to dengue transmission and influenced by climate and land use.
  • Understanding the link between land-cover types and vector density is crucial for predicting outbreaks.

Purpose of the Study:

  • To explore the relationship between land-cover types and dengue vector behavior.
  • To identify specific land-use types that are favorable for dengue vector propagation.

Main Methods:

  • Field surveys in 92 villages across Phitsanulok Province, Thailand, conducted in March, May, and July.
  • Dengue indices (Container Index, House Index, Breteau Index) used to map vector habitats.
  • Spatial epidemiological analysis, including Bivariate Pearson's correlation and Principal Component Analysis (PCA), to assess vector density and land-use interdependencies.

Main Results:

  • Settlements near gasoline stations/workshops, marsh/swamp, and rice paddies showed high positive correlation with vector propagation in May (p=0.001).
  • Institutional areas correlated significantly with House Index in March (p=0.01), and deciduous forests with dengue indices in March (p<=0.05).
  • Horticulture land and perennial vegetation also showed significant positive correlations with dengue indices in May and March, respectively.

Conclusions:

  • Gasoline stations/workshops, rice paddies, marsh/swamp, and deciduous forests are critical habitats for dengue vector growth.
  • Spatio-temporal analysis of vector density and land-use types can predict favorable dengue habitats.
  • This predictive capability enables public health managers to implement timely preventive measures against dengue outbreaks.