TY - CHAP
T1 - Leveraging Earth observation data for surveillance of vector-borne diseases in changing environments
AU - Fornace, Kimberly M.
AU - Johnson, Emilia
AU - Moreno, Marta
AU - Hardy, Andy
AU - Carrasco-Escobar, Gabriel
N1 - Publisher Copyright:
© Kimberly M. Fornace et al., 2024
PY - 2024
Y1 - 2024
N2 - Vector-borne disease transmission is driven by environmental factors determining the distribution and spread of pathogens, vectors and human and animal populations. Earth observation (EO) data, such as satellite and drone imagery, can be used to characterise these factors and identify high risk geographical areas and populations. While the use of EO data to understand vector-borne disease epidemiology has a long history, the rapid expansion of satellite and aerial data, analysis methods and computing power offer new opportunities to integrate EO data into disease surveillance. We review sources and characteristics of EO data and analysis methods, identify commonly used EO-derived metrics for a range of diseases and present case studies on specific applications of EO data for disease surveillance. We additionally describe key considerations for disease control programmes considering the use of EO data, highlighting the applicability of different data types and analysis methods for different ecological contexts and use-cases.
AB - Vector-borne disease transmission is driven by environmental factors determining the distribution and spread of pathogens, vectors and human and animal populations. Earth observation (EO) data, such as satellite and drone imagery, can be used to characterise these factors and identify high risk geographical areas and populations. While the use of EO data to understand vector-borne disease epidemiology has a long history, the rapid expansion of satellite and aerial data, analysis methods and computing power offer new opportunities to integrate EO data into disease surveillance. We review sources and characteristics of EO data and analysis methods, identify commonly used EO-derived metrics for a range of diseases and present case studies on specific applications of EO data for disease surveillance. We additionally describe key considerations for disease control programmes considering the use of EO data, highlighting the applicability of different data types and analysis methods for different ecological contexts and use-cases.
KW - Earth observation
KW - geographical information systems
KW - remote sensing
KW - spatial epidemiology
KW - surveillance
UR - https://www.scopus.com/pages/publications/85217496080
U2 - 10.3920/9789004688650_013
DO - 10.3920/9789004688650_013
M3 - Chapter
AN - SCOPUS:85217496080
VL - 8
T3 - Ecology and Control of Vector-Borne Diseases
SP - 319
EP - 346
BT - Planetary health approaches to understand and control vector-borne diseases
PB - Brill Academic Publishers
ER -