The potential of remote sensing for improved infectious disease ecology research and practice.

Autor: Teitelbaum CS; NASA Ames Research Center, Moffett Field, CA, USA.; Bay Area Environmental Research Institute, Moffett Field, CA, USA.; U.S. Geological Survey, Western Ecological Research Center, San Francisco Bay Estuary Field Station, Moffett Field, CA, USA., Ferraz A; NASA Jet Propulsion Laboratory, Pasadena, CA, USA., De La Cruz SEW; U.S. Geological Survey, Western Ecological Research Center, San Francisco Bay Estuary Field Station, Moffett Field, CA, USA., Gilmour ME; NASA Ames Research Center, Moffett Field, CA, USA., Brosnan IG; NASA Ames Research Center, Moffett Field, CA, USA.
Jazyk: angličtina
Zdroj: Proceedings. Biological sciences [Proc Biol Sci] 2024 Dec; Vol. 291 (2037), pp. 20241712. Date of Electronic Publication: 2024 Dec 18.
DOI: 10.1098/rspb.2024.1712
Abstrakt: Outbreaks of COVID-19 in humans, Dutch elm disease in forests, and highly pathogenic avian influenza in wild birds and poultry highlight the disruptive impacts of infectious diseases on public health, ecosystems and economies. Infectious disease dynamics often depend on environmental conditions that drive occurrence, transmission and outbreaks. Remote sensing can contribute to infectious disease research and management by providing standardized environmental data across broad spatial and temporal extents, often at no cost to the user. Here, we (i) conduct a review of primary literature to quantify current uses of remote sensing in disease ecology; and (ii) synthesize qualitative information to identify opportunities for further integration of remote sensing into disease ecology. We identify that modern advances in airborne remote sensing are enabling early detection of forest pathogens and that satellite data are most commonly used to study geographically widespread human diseases. Opportunities remain for increased use of data products that characterize vegetation, surface water and soil; provide data at high spatio-temporal and spectral resolutions; and quantify uncertainty in measurements. Additionally, combining remote sensing with animal telemetry can support decision-making for disease management by providing insights into wildlife disease dynamics. Integrating these opportunities will advance both research and management of infectious diseases.
Databáze: MEDLINE