Preparing for Tomorrow: Tools, Skills, and Sensors in Forecasting Climate Change's Health Consequences

Introduction. Climate change has important implications for human health. Temperatures continue to rise and extreme weather conditions become more frequent. Resulting changes in ecosystems will impact health in general and more specifically, distribution of communicable, vector-borne and heat-related diseases. It is imperative to adopt proactive measures to anticipate and mitigate the health impact of climate change. New sensors, skills and tools are required to predict impact on human health and conceptualise proactive measures against adverse consequences of rising temperatures. Materials and methods. A search of the current literature on anticipatory research specific to sensors, skills and tools for prediction was employed. A design thinking model, the ClimateSense Model was conceptualised based on the analysis. Results. Sensors include physical sensors and information technology such as remote sensing with satellites, aircrafts and drones, biological sensors like RNA and DNA sequencing technologies, and chemical sensors for greenhouse gases. Tools include mobile applications and artificial intelligence, internet-of-things technology, and crowdsourcing. Skills involve digital skills to interpret and communicate sensor-derived data using interactive maps, plots, time series, and analysis of big data with statistical skills or artificial intelligence. Conclusion. Synergistic combination of tools, skills and sensors, as conceptualised in the ClimateSense model, are essential to anticipate consequences of climate change for health. By promoting anticipatory preparedness, policymakers, healthcare professionals and communities can better mitigate the adverse health impacts of climate change, build resilience to its effects and define a planetary health strategy. Key messages. Climate change significantly impacts human health through rising temperatures and ecosystem changes. New sensors, tools, and skills are essential to predict and mitigate health consequences of climate change. The ClimateSense model promotes proactive strategies to enhance preparedness and resilience against climate-related health risks.

Authors

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-26
DOI
https://doi.org/10.5281/zenodo.23675270
Primary Topic
Climate Change and Health Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preparing for Tomorrow: Tools, Skills, and Sensors in Forecasting Climate Change's Health Consequences

Daniel Josef Lindegger
Zenodo (CERN European Organization for Nuclear Research)
Climate Change and Health Impacts
article

Preparing for Tomorrow: Tools, Skills, and Sensors in Forecasting Climate Change's Health Consequences

Daniel Josef Lindegger
article en

Abstract

Introduction. Climate change has important implications for human health. Temperatures continue to rise and extreme weather conditions become more frequent. Resulting changes in ecosystems will impact health in general and more specifically, distribution of communicable, vector-borne and heat-related diseases. It is imperative to adopt proactive measures to anticipate and mitigate the health impact of climate change. New sensors, skills and tools are required to predict impact on human health and conceptualise proactive measures against adverse consequences of rising temperatures. Materials and methods. A search of the current literature on anticipatory research specific to sensors, skills and tools for prediction was employed. A design thinking model, the ClimateSense Model was conceptualised based on the analysis. Results. Sensors include physical sensors and information technology such as remote sensing with satellites, aircrafts and drones, biological sensors like RNA and DNA sequencing technologies, and chemical sensors for greenhouse gases. Tools include mobile applications and artificial intelligence, internet-of-things technology, and crowdsourcing. Skills involve digital skills to interpret and communicate sensor-derived data using interactive maps, plots, time series, and analysis of big data with statistical skills or artificial intelligence. Conclusion. Synergistic combination of tools, skills and sensors, as conceptualised in the ClimateSense model, are essential to anticipate consequences of climate change for health. By promoting anticipatory preparedness, policymakers, healthcare professionals and communities can better mitigate the adverse health impacts of climate change, build resilience to its effects and define a planetary health strategy. Key messages. Climate change significantly impacts human health through rising temperatures and ecosystem changes. New sensors, tools, and skills are essential to predict and mitigate health consequences of climate change. The ClimateSense model promotes proactive strategies to enhance preparedness and resilience against climate-related health risks.

Zenodo (CERN European Organization for Nuclear Research)
Oldham Council (GB)
Openalex Percentile: Top 18%
Climate Change and Health Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon