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Approaching unsafe limits: climate-related health inequities within and beyond Europe

Kim R. van Daalen et al. – The Lancet Regional Health. Europe, Vol 31, Iss , Pp 100683- (2023)

The article from The Lancet Regional Health – Europe presents a new framework to tackle climate-sensitive infectious diseases in Europe. It emphasizes the need for decision-support tools and policy-relevant indicators to track and respond to climate-induced health risks. The framework, developed under the IDAlert project, integrates a One Health approach, connecting human, animal, and environmental health for better disease monitoring, resilience, and preparedness across sectors​.

DOI: 10.1016/j.lanepe.2023.100683

Chapter 12 Early warning systems for vector-borne diseases: engagement, methods and implementation

Emilie Finch et al. – Planetary health approaches to understand and control vector-borne diseases | Chapter 12

Vector-borne diseases (VBDs) cause over 700,000 deaths yearly, worsened by climate change and urbanization. Climate-informed early warning systems (EWS) use climate data to predict outbreaks, enabling faster public health responses. Despite their success in disaster risk reduction, EWS are underused in health, with few operational tools available.

DOI: 10.3920/9789004688650_014

Towards a leptospirosis early warning system in northeastern Argentina

Lotto Batista M et al. – J. Roy. Soc. Interface

This study demonstrates that hydrometeorological indicators, including El Niño, precipitation, and river height, are strong predictors of leptospirosis outbreaks in northeastern Argentina. By using a Bayesian modelling framework, the researchers found that climate-driven models accurately detected 89% of outbreaks, suggesting that such tools could effectively contribute to an early warning system for leptospirosis in the region.

DOI: 10.1098/rsif.2023.0069

West Nile virus eco-epidemiology and climate change

Julian Heidecke; Andrea Lavarello Schettini; Joacim Rocklöv – Crossref

This review explores WNV’s eco-epidemiology, the role of modeling in knowledge generation, and the importance of a One Health approach for better surveillance and policy development.

DOI: 10.1371/journal.pclm.0000129

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