PULS! – Digital population study on health in times of crisis
Systematically recording the health consequences of climate crises and more
Global pandemics, extreme weather events, and political conflicts have a direct impact on physical, mental, and social health. At the same time, there is often a lack of structured, timely data to analyze the effects in a differentiated manner and derive evidence-based measures.
The PULS study examines how crisis events affect the health of the population, which groups are particularly affected, and how well people are prepared for such situations.
The aim is to provide reliable data for public health strategies and health policy decisions.
Study design
The study is being conducted by the Center for Preventive Medicine and Digital Health at the Mannheim Medical Faculty, Heidelberg University.
Over a period of two years, participants will be surveyed regularly using digital questionnaires:
- Baseline survey on health status and living situation
- Quarterly follow-ups
- Event-related surveys in acute crises (e.g., heat waves, new infections)
The focus is on a holistic view of health—physical, mental, and social—as well as resilience, perception, and social classification of crisis measures.
Our role: Technical infrastructure for scalable data collection
Data4Life is the technical enabler in this project.
With the D4L Collect study platform, we provide the digital infrastructure for:
- structured, standardized data collection via smartphone
- secure digital consent processes
- GDPR-compliant data storage
- encrypted data transmission
- scalable implementation of longitudinal studies
Data is stored on servers at Heidelberg University Hospital in Germany.
D4L Collect enables research institutions to efficiently implement population-based studies – without the need for complex in-house development of technical systems.
The PULS study thus addresses key challenges in modern public health research:
- Dynamic events require flexible data collection tools
- Population studies need low barriers to participation
- Long-term observations must be technically stable and securely reproducible
- Data must be structured, interoperable, and scientifically usable.
Digital study infrastructures are a crucial factor in capturing crisis data prospectively and in real time, rather than retrospectively.
Frequently asked questions
How does D4L Collect support the implementation of longitudinal population studies?
D4L Collect enables the structured and scalable implementation of digital studies via smartphone-based data collection.
Research institutions benefit from:
Digital consent management
Standardized questionnaires and PRO surveys
longitudinal study logic (e.g., follow-ups, event-triggered surveys)
secure, GDPR-compliant data processing
export options for scientific analysis
This allows studies to be implemented efficiently without having to set up your own technical infrastructure.
How are data protection and data sovereignty guaranteed?
Data protection is an integral part of the platform architecture.
D4L Collect works with:
encrypted data transmission
pseudonymized data sets
clearly defined role and access concepts
hosting in secure, regulatory-compliant environments
Data sovereignty lies with the respective research partner. Data4Life acts as a technical enabler and processes data exclusively within the framework of the agreed study architecture.
For which study formats is D4L Collect particularly suitable?
The platform is particularly suitable for:
longitudinal cohort studies
public health studies
digital intervention studies
event-based surveys
hybrid or decentralized study designs
Thanks to its modular architecture, the infrastructure can be adapted to different study designs and regulatory requirements.
I would like to use D4L Collect for a research project. Who can I contact?
If you would like to use D4L Collect for your scientific activities, simply send an email to: b2b@data4life.care.
