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Uncovering temperature sensitivity of West Nile virus transmission: Novel computational approaches to mosquito-pathogen trait responses

Heidecke et al. – PLOS Computational Biology, Volume 19, e1012866

This study introduces a computational framework to assess temperature sensitivity in mosquito-pathogen interactions, focusing on West Nile virus (WNV). Using experimental data across 15 mosquito species, the authors estimate temperature response functions for key traits influencing WNV transmission. They find an optimal transmission temperature around 24°C for Culex species and highlight key areas for future research to improve transmission models under climate change.

DOI: 10.1371/journal.pcbi.1012866

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

Lowe R, Codeço CT.
Annu Rev Entomol. 2025 Jan;70(1):337-358.

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 (a) better understand the links among environmental degradation, climate change, socioeconomic inequalities, and VBD risk; (b) conduct risk assessments, health impact attribution, and projection studies; and (c) 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.

DOI: 10.1146/annurev-ento-040124-015101

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