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Research group

Climate Sensitive Infectious Disease Lab

Climate change drives biogeophysical alterations in the environment, ultimately influencing the lifecycle of diverse living organisms and their ecosystems, including disease vectors, such as mosquitoes and ticks, and animal reservoir hosts to zoonotic pathogens.

Contemporary literature has documented over 1,000 pathways through which climate hazards influence the spatial extent, frequency and severity of outbreaks of various infectious diseases, mainly falling into the wider categories of vector-borne, water-borne and zoonotic diseases. Overall, the transmission risk of infectious diseases in relation to climate change is a global health challenge that today remains poorly understood.

The study of infectious diseases for prevention and prepardness is highly complex, requiring sophisticated methodology, and large databases of interdisciplinary data. Studying upstream drivers of infectious diseases, and ways to prevent disease occurrence, requires creative and unconventional thinking across many disciplines, from microbiology, entomology, zoology, medicine, epidemiology, computer science, and economics to climate science and geography, history and ethnography.

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Our focus

To address these challenges, the CSIDlab combines cutting-edge research and methods from all these disciplines and synthesizes viable knowledge and evidence that are applicable and usable in facilitating decision-making through insights and tools for upstream prevention and mitigation, and more downstream preparedness and adaptation by:

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applying state-of-the-art scientific methods to explore the macroecological and epidemiological patterns and dynamics of climate-sensitive infectious diseases, and advancing the current understanding of the mechanisms and processes through which climate change operates and affects the dynamics and ecology of a wide range of infectious diseases.

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conducting interdisciplinary science to generate and analyse data to develop climate-based indicators depicting changes in infectious disease risks.

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developing mathematical and statistical models, including spatio-temporal transmission models, to explore and approximate the dynamics, emergence and range expansion of vectors and pathogens in response to environmental and climate change.

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developing and testing out novel AI-powered devices for smart infectious disease integrated surveillance, such as smart mosquito traps, bioacoustics recognition of insects and animals, and visual learning of citizen science tick images for rapid detection of presence and emergence.

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developing climate scenario-based modelling for long-term decision-making in climate adaptation and mitigation.

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investigating short- and long-term impacts on infectious diseases from nature restoration and Nature-based Solution, including dilution effects and unintended consequences.

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using novel and adaptive data collection designs to perform field studies: field data collection of ticks, mosquitoes, animal vocalisations, micro climate conditions, noise, and particulate matter (Heidelberg field study).

Our projects

mosquito alert

Mosquito-Alert

Mosquito Alert is a citizen science platform to study, monitor and control mosquito species that transmit diseases such as dengue, Zika, chikungunya and West Nile virus.

IDAlert

IDAlert aims to tackle the emergence and transmission of zoonotic pathogens by developing novel indicators, innovative early warning systems and efficient tools for decision-makers, and by evaluating adaptation and mitigation strategies to build a Europe more resilient to emerging health threats.

TULIP

The TULIP project creates and advances knowledge on socio-ecological processes and the dynamics of the antimicrobial resistance-plastic pollution-climate ecological nexus as well as evidence of links to human and animal health, and provides viable solutions that challenge the status quo and ignite lasting change toward health-promoting environments.

BEPREP

BEPREP aims to prevent future pandemics by studying and identifying best practices for biodiversity recovery and public health interventions that mitigate disease risk.

PANDASIA

PANDASIA aims to gather information on social and biological data, model zoonotic spillover rates, and study disease emergence in high-risk settings in Thailand to identify potential pandemic drivers along nature-rural-urban gradients.

PANDA

PANDA aims to systematically investigate processes and interactions, human risk behaviors and actions, and structural barriers at the human-animal-environment interface, which lead to zoonotic infectious diseases emergence.

Alexander von Humboldt Professorship

By introducing innovative mathematical and bioinformatics methods for modelling and quantifying the impact of climate change on public health, Joacim Rocklöv’s Alexander von Humboldt Professorship is set to give new impetus to climate change research at the University of Heidelberg.

HIDSS4Health

The aim of the Helmholtz Information & Data Science School for Health (HIDSS4Health) is to attract, promote and train the best young talents at the interface between data science and health-related applications. HIDSS4Health offers a structured doctoral training program embedded in a highly interdisciplinary research environment, bringing together experts from the data and life sciences.

Climate Change and Health in sub-Saharan Africa

The DFG-funded research unit project “Climate Change and Health in sub-Saharan Africa” focuses on understanding and addressing the impacts of climate change on health in rural populations in Burkina Faso and Kenya.

Our publications

Decision-support tools to build climate resilience against emerging infectious diseases in Europe and beyond

Rocklöv, Joacim et al. (2023) // The Lancet Regional Health – Europe, Volume 32, 100701, DOI: 10.1016/j.lanepe.2023.100701

The 2024 Europe report of the Lancet Countdown on health and climate change: unprecedented warming demands unprecedented action

van Daalen, Kim R et al. The Lancet Public Health, Volume 9, Issue 7, e495 – e522, DOI: 10.1016/S2468-2667(24)00055-0

Mosquito Alert interactive map

West Nile virus eco-epidemiology and climate change

Heidecke J, Lavarello Schettini A, Rocklöv J. (2023) // PLOS Climate. DOI: 10.1371/journal.pclm.0000129

From heatwaves to food systems: epidemiologists addressing climate challenges

Treskova M, Bärnighausen T, Pompeu CR, Rocklöv J. // International Journal of Epidemiology. 2024 Oct;53(5):dyae117

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

Heidecke J, Wallin J, Fransson P, Singh P, Sjodin H, Stiles P, Treskova M, Rocklov J. // bioRxiv. 2024:2024-09

An interpretable covariate compartmental model for predicting the spatio-temporal patterns of dengue in Sri Lanka.

Liu Y, Fransson P, Heidecke J, Liyanage P, Wallin J, Rocklöv J

A climate and population dependent diffusion model forecasts the spread of Aedes Albopictus mosquitoes in Europe

Barman S, Semenza J, Singh P, Sjodin H, Rocklov J, Wallin J. // bioRxiv. 2024:2024-09.

CSIDlab group leader

Joacim Rocklöv

Joacim is an Alexander von Humboldt Professor and the group leader of the Climate-Sensitive Infectious Disease lab at the Planetary Health Hub at Heidelberg University.

His research is breaking disciplinary boundaries by integrating a wide range of unconventional and critical areas including epidemiology, global health, infectious diseases, ecology, socioeconomics, climate change, modeling, and machine learning, and developing predictive and scenario-based modelling.

joacim.rockloev(at)uni-heidelberg.de