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 Experiment Video

Updated: May 15, 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

Topographic models for predicting malaria vector breeding habitats: potential tools for vector control managers.

Jephtha C Nmor1, Toshihiko Sunahara, Kensuke Goto

  • 1Department of Vector Ecology and Environment, Institute of Tropical Medicine (NEKKEN), Nagasaki University, Nagasaki, Japan.

Parasites & Vectors
|January 18, 2013
PubMed
Summary

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

Evaluating the impacts of piperonyl butoxide-treated ceiling nets on malaria risk among high-risk populations with limited access to conventional LLINs in Homa Bay Country, Kenya: study protocol for a household randomized control trial.

Trials·2026
Same author

Phenotypic features of EYS-associated retinitis pigmentosa with the c.2528 G > A (p.Gly843Glu) mutation in a Japanese cohort.

Scientific reports·2026
Same author

Who uses the only mosquito net? Sex and age disparities.

Tropical medicine and health·2026
Same author

Application of a Temporal Fusion Transformer and Long-Term Climate and Disease Data to Assess the Predictive Power and Understand the Drivers for Malaria and Dengue.

International journal of environmental research and public health·2026
Same author

De novo and inherited dominant variants in U4 and U6 snRNA genes cause retinitis pigmentosa.

Nature genetics·2026
Same author

Clinical characteristics of EYS-associated retinal dystrophy in 291 Japanese patients.

NPJ genomic medicine·2025

Digital Elevation Models (DEMs) can accurately predict malaria vector breeding sites. Both SRTM and ASTER DEMs offer reliable topographic data for malaria control strategies in Africa.

Area of Science:

  • Geographic Information Systems (GIS)
  • Remote Sensing
  • Environmental Science

Background:

  • Malaria vector breeding site identification is crucial for effective control.
  • Topographic associations with breeding sites are known, but predictive models are scarce.
  • Remotely sensed Digital Elevation Models (DEMs) offer a potential solution for mapping vector habitats.

Purpose of the Study:

  • To model malaria vector breeding sites using topographic variables from DEMs.
  • To compare the predictive performance of two different DEMs (SRTM3 and ASTER).
  • To evaluate the predictability of various Anopheles larval habitat types.

Main Methods:

  • Extraction of topographic variables from SRTM3 (90m) and ASTER (30m) DEMs using GIS.
  • Utilizing field survey data of 826 breeding sites and 4520 negative points.

More Related Videos

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages
08:23

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages

Published on: May 30, 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

Related Experiment Videos

Last Updated: May 15, 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

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages
08:23

Phenotypic Analysis of Rodent Malaria Parasite Asexual and Sexual Blood Stages and Mosquito Stages

Published on: May 30, 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

  • Application of logistic regression modeling and evaluation of model accuracy using AUC.

    • Main Results:

    • All topographic variables from both DEMs significantly correlated with breeding habitats (except SRTM aspect).
    • SRTM and ASTER models demonstrated similar predictive fit and accuracy (AUC training: ~0.75; AUC testing: ~0.81).
    • Drains, footprints, puddles, and swamps were identified as the most predictable habitat types.

    Conclusions:

    • Both SRTM and ASTER DEMs provide accurate and comparable predictive models for vector habitats.
    • The free accessibility of these DEMs enables widespread use by vector control managers in Africa.
    • Topographic predictive models can significantly complement existing malaria control strategies.