Soundbites: Models and Tools
In countries with population-based mammography screening programs, decision-analytic modeling has often informed implementation. This systematic review of cost-effectiveness models used for breast cancer screening, analyzes and compares their structural and methodological approaches.
To assess the feasibility of goals to reduce TB incidence and mortality, 11 independent models were empirically calibrated and used to simulate prevention, diagnosis, and treatment strategies in China, India, South Africa. While drivers of between-model differences were identified, public health findings were robust. Read the TB article.
Diets rich in fish are protective against cardiovascular disease, but fish are also a source of exposure to toxins like methyl mercury and persistent organic pollutants like PCBs. Risk assessment models can clarify risk-benefit tradeoffs and explore the impact of consumer health advisories. Read the CDV article.
Models can help inform disease control policy decisions when empirical evaluation of alternatives is impractical. This review of chlamydia transmission models provides insights about how mathematical modeling has responded to new empirical evidence and addressed policy questions related to prevention of chlamydia infection.
This review provides an overview of decision-analytic models using the clinical example of treatment for multiple myeloma. Based on a systematic literature search, approaches included decision-tree, state-transition, and discrete event simulation models, partitioned-survival analysis, and area-under-the-curve modeling. Read the multiple myeloma review.
A substantial proportion of the global burden of pregnancy-related deaths occur in India. This paper describes a simulation model that differentiates the site of health provision, level of health provider, and availability of transport, facilities, and quality of care, and can simulate stepwise investments in individual and maternal health services. Read the maternal study.