Illustrative cases
The COVARIS cases show how external context can be made visible, comparable and decision-relevant across clinical trial countries, regions, study windows and target settings.
Together, they illustrate four applications of COVARIS:
- comparative trial country baselines
- constrained scenario analysis
- disease-relevant context analysis
- trial-to-market context comparison
The cases demonstrate how environmental, geographic and temporal data can be translated into practical inputs for clinical trial planning, design and evidence interpretation.
Trial Country Baseline Dashboard
Trial Country Baseline Dashboard
This illustrative dashboard compared climate, seasonal timing, air pollution, greenness and built-up intensity across a defined set of trial countries.
The case shows how multiple external context layers can be brought together in one comparative view to support country-level review and identify where deeper regional analysis may be useful.
The dashboard provides a practical entry point for sponsor discussions about trial footprint context.
Global COPD Scenario Analysis
Global COPD Scenario Analysis
This illustrative case examined whether a planned five-country COPD trial footprint contained meaningful differences in weather and temperature-related environmental context.
Using a combined temperature and humidity stress axis, the analysis showed that constrained adjustments to regional enrollment allocation could reduce calculated environmental dispersion by 15.3% while retaining all countries and regions.
A winter-only robustness analysis showed a smaller but still positive reduction of 5.4%.
The case illustrates how COVARIS can test realistic planning scenarios within an existing trial footprint.
Atopic Dermatitis Humidity Context Analysis
Atopic Dermatitis Humidity Context Analysis
This focused case examined how humidity, temperature and seasonal conditions varied across a reconstructed multinational trial footprint.
The analysis showed that the planned countries were not environmentally uniform. Some appeared meaningfully drier, others more humid, and recent stability patterns also differed.
The case illustrates how disease-relevant environmental context can add depth to trial planning beyond a simple country list.
Historical Atopic Dermatitis Scenario Analysis
Historical Atopic Dermatitis Scenario Analysis
This supporting case reconstructed a historical multinational phase 3 atopic dermatitis trial footprint and tested whether a constrained alternative scenario could have produced a more environmentally consistent setup.
The case illustrates how public trial information can be combined with structured environmental context analysis to support future geography and study-planning discussions.
Trial-to-Market Context Analysis
Trial-to-Market Context Analysis
This anonymised case compared the environmental and seasonal context of a multinational COPD trial footprint with conditions in a European target market.
The analysis found that the target market was consistently more humid than the reconstructed trial context, while air pollution was not a major source of mismatch and cold-related burden was more mixed.
The case illustrates how COVARIS can identify both aligned and diverging contextual features relevant to local evidence interpretation and assessment.
What the cases show together
Taken together, the cases show how COVARIS can support four connected analytical tasks:
- compare external context across countries and regions
- test constrained planning scenarios
- examine disease-relevant environmental conditions
- compare trial context with a target market or setting
Across these applications, COVARIS translates external context into structured inputs for planning, design and evidence interpretation.
The value lies in making relevant differences visible early enough to support informed sponsor discussions and more explicit decision-making.
COVARIS helps sponsors and CROs make relevant external context visible across trial countries, regions, study windows and selected assessment settings.
COVARIS does not predict outcomes or prove causal effects. It provides external context intelligence for sponsor-led planning, evidence generation and interpretation.
COVARIS ApS
2100 Copenhagen
Denmark
+45 25 30 30 28
CVR-no.: 46484673