ARTICULATE, TO THE POINT, EPIDEMIOLOGICAL AND HEALTH ECONOMIC ANALYSES.

We do epidemiological and health economic modeling

We specialize in infectious disease epidemiological transmission models and health economic analyses.

Epidemiological transmission models are numerical models that describe how infectious diseases spread within populations.

Health economic models translate the epidemiological impact of interventions into costs, benefits, and quality of life metrics.

Spegegant leverages epidemiological and health economic modeling in two broad areas: market access, and epidemic prevention and control.

For market access

Market access services support product launch preparation, starting from early development phases. We help demonstrate the burden of disease, raise awareness, and estimate the potential impact of new products.

We contribute to competitive positioning and strategic fit assessment, bridging the gap between available clinical data and value demonstration, and simulating prospective scenarios.

We help our clients understand existing modeling approaches – whether published by competitors or recommended by authorities – and perceive their business implications.

We provide guidance to address questions from public health agencies or NITAGs, as well as from internal stakeholders and teams.

Product development may span several years. At each stage, we integrate where needed and collaborate closely with the teams involved.

For epidemic prevention and control

We assist decision-makers in selecting the right strategies to control epidemics, mitigate risk, and achieve public health or operational objectives.

Health interventions are often irreversible, subject to uncertainty, and constrained by operational factors. Numerical modeling and simulations are essential to explore a wide range of strategies that cannot be tested in the field, all while taking uncertainties into account.

We are small and nimble

Spegegant takes a task force approach to work. Acting as our clients' co-pilots, we can start quickly and deliver insights on the fly in a changing environment. We implement technical solutions that are proportionate to the problem at hand. No overkill, no one-fits-all tool.

Spegegant stands for specialia generalibus derogant – the specific derogates from the general. We offer targeted analyses to our clients, whether for market access or epidemic prevention and control.

Spegegant does not operate as a one-stop shop. We support our clients with on-demand advice and guidance in our core areas of expertise: infectious disease transmission modeling and health economics.

We can address related, technically adjacent, topics (e.g. within-host modeling, general economics).

We are keen to investigate niche or ill-defined problems in the areas of mathematical modeling, numerical simulation, and statistical analysis for our clients. And this, with no bureaucratic inertia.

For larger projects, or when specific advanced technical skills are needed, Spegegant relies on a network of senior experts, all with academic research experience and strong industry or consulting backgrounds.

With the right expertise in the right place, we can support our clients in complex projects.

We value clarity above all

We believe that when human health is at stake, modeling assumptions must be transparent, explainable, and traceable.

Complexity and uncertainty are inherent to public health, but they should never obscure reasoning or accountability. We prioritize models that remain interpretable, robust, and open to scrutiny.

Clarity and transparency are key to answering questions from authorities seamlessly and addressing objections efficiently.

Modeling assumptions can have far-reaching implications. We can clearly convey and justify them in both the area of infectious disease epidemiology and of health economics.

Our clients have diverse educational, scientific and professional backgrounds, but they share a keen interest in addressing complex policy or strategy questions. By being transparent about our methods and adapting our communication to our audience, we keep them involved and in control. This transparency facilitates auditing and later adaptation of our work. It ensures that our insights remain relevant and actionable.

We encourage challenge and promote discussion, because that is how good science is done. We adapt models incrementally and run simulations on the fly to test hypotheses and scenarios as they arise from discussions.