Reliable and comprehensive data on disease levels, patterns, and trends in
populations are required to monitor global and local epidemics and to asses
s the effectiveness of public health approaches to disease and injury preve
ntion and control. For most developing countries, little is reliably known
about causes of mortality or about disease incidence, prevalence, and durat
ion. Advances in technology offer the opportunity to collect biomarkers-bio
logical and clinical data-in existing large-scale, national sample surveys.
Such data on biomarkers could result in significantly better insight into
public health problems and more rational and equitable policies leading to
improved health. The combination of traditionally collected behavioral data
with biological and clinical data affords many possibilities to better ass
ess health problems and to develop the most cost-effective set of intervent
ions. Careful assessment and discussion of the potential public health bene
fits, ethical issues, and logistical challenges should guide the applicatio
n of technological advances in population-based surveys.