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Annual Review of Entomology

Volume 70, 2025

Harmonizing Multisource Data to Inform Vector-Borne Disease Risk Management Strategies

Abstract

In the last few decades, we have witnessed the emergence of new vector-borne diseases (VBDs), the globalization of endemic VBDs, and the urbanization of previously rural VBDs. Data harmonization forms the basis of robust decision-support systems designed to protect at-risk communities from VBD threats. Strong interdisciplinary partnerships, protocols, digital infrastructure, and capacity-building initiatives are essential for facilitating the coproduction of robust multisource data sets. This review provides a foundation for researchers and practitioners embarking on data harmonization efforts to () better understand the links among environmental degradation, climate change, socioeconomic inequalities, and VBD risk; () conduct risk assessments, health impact attribution, and projection studies; and () develop robust early warning and response systems. We draw upon best practices in harmonizing data for two well-studied VBDs, dengue and malaria, and provide recommendations for the evolution of research and digital technology to improve data harmonization for VBD risk management.

Keyword(s): climate change, dengue, digital tools, early warning systems, Earth observations, land use and land cover change, malaria, modeling, vector-borne diseases
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2025-01-28
2025-04-20
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/content/journals/10.1146/annurev-ento-040124-015101
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Harmonizing Multisource Data to Inform Vector-Borne Disease Risk Management Strategies
Annual Review of Entomology 70, 337 (2025); https://doi.org/10.1146/annurev-ento-040124-015101
/content/journals/10.1146/annurev-ento-040124-015101
/content/journals/10.1146/annurev-ento-040124-015101
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