Remote Sensing for Operational Surveillance of Mosquito‐Borne Diseases

Abstract Remote sensing observations have demonstrated increasing value in identifying human risk from mosquito‐borne diseases because mosquito ecology is intrinsically tied to geophysical variables measurable by satellites. Satellite‐based monitoring of environmental conditions at varying temporal and spatial scales has extended our capacity for mosquito surveillance and control for many mosquito‐borne diseases, including malaria, dengue, Zika, West Nile fever, and Rift Valley fever. However, technical challenges and operational limitations continue to pose barriers for more routine integration of satellite data into management programs. To achieve this, we need to more explicitly connect these technologies to practical management scales, which are often disconnected from the spatial and temporal scales at which remote sensing data are readily accessible. Here, we comprehensively review advances in remote sensing and ecological research with a focus on their contributions to operational mosquito surveillance and control. We synthesize current research, derivative applications, and challenges associated with using remote sensing to understand mosquito‐borne disease ecology and evaluate multi‐scale satellite‐based opportunities to translate technical advances to control and management actions. Finally, we develop actionable guidelines for an integrated strategy of cross‐disciplinary collaboration in the public health community to expand adoption of remote sensing approaches for a variety of mosquito‐borne infectious diseases.

Authors

Institutions

Publication Details

Journal
GeoHealth
Published
2026-11-01
DOI
https://doi.org/10.1029/2026gh001868
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Remote Sensing for Operational Surveillance of Mosquito‐Borne Diseases

Barbara A. Han, Lauren V. Ash, Seth Gibson, Lory Lee Willard et al.
GeoHealth
Mosquito-borne diseases and control
article

Remote Sensing for Operational Surveillance of Mosquito‐Borne Diseases

Barbara A. Han, Lauren V. Ash, Seth Gibson, Lory Lee Willard, Andrew M. Kramer, Kenneth J. Linthicum, Karlyn K. Harrod, Compton J. Tucker, Assaf Anyamba
article en

Abstract

Abstract Remote sensing observations have demonstrated increasing value in identifying human risk from mosquito‐borne diseases because mosquito ecology is intrinsically tied to geophysical variables measurable by satellites. Satellite‐based monitoring of environmental conditions at varying temporal and spatial scales has extended our capacity for mosquito surveillance and control for many mosquito‐borne diseases, including malaria, dengue, Zika, West Nile fever, and Rift Valley fever. However, technical challenges and operational limitations continue to pose barriers for more routine integration of satellite data into management programs. To achieve this, we need to more explicitly connect these technologies to practical management scales, which are often disconnected from the spatial and temporal scales at which remote sensing data are readily accessible. Here, we comprehensively review advances in remote sensing and ecological research with a focus on their contributions to operational mosquito surveillance and control. We synthesize current research, derivative applications, and challenges associated with using remote sensing to understand mosquito‐borne disease ecology and evaluate multi‐scale satellite‐based opportunities to translate technical advances to control and management actions. Finally, we develop actionable guidelines for an integrated strategy of cross‐disciplinary collaboration in the public health community to expand adoption of remote sensing approaches for a variety of mosquito‐borne infectious diseases.

GeoHealthVol. 10(11)
Oak Ridge National Laboratory (US), Goddard Space Flight Center (US), Agricultural Research Service (US), University of South Florida (US), Cary Institute of Ecosystem Studies (US), University of Florida (US), Center for Medical, Agricultural and Veterinary Entomology (US), University of Maryland, Baltimore County (US)
Openalex Percentile: Top 10%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon