Measurement of Biomarkers in Surveys in Developing Countries
Opportunities and Problems
Bibliographic Data
| ID | 4120595 |
|---|---|
| Authors | J Ties Boerma (University of North Carolina at Chapel Hill), Elizabeth Holt (0000-0002-5324-6448), Robert Black (Johns Hopkins University) |
| Year | 2001 |
| Volume | 27 |
| Issue | 2 |
| Pages | 303-314 |
| Publication date | 2001-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Population and Development Review (JOURNAL) |
| Journal identifiers | ISSN: 0098-7921 • E-ISSN: 1728-4457 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1728-4457.2001.00303.x |
| OpenAlex | W2142421000 |
| Language | EN |
| Citations received | 10 |
| References cited | 18 |
Reliable and comprehensive data on disease levels, patterns, and trends in populations are required to monitor global and local epidemics and to assess the effectiveness of public health approaches to disease and injury prevention and control. For most developing countries, little is reliably known about causes of mortality or about disease incidence, prevalence, and duration. Advances in technology offer the opportunity to collect biomarkers-biological 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 assess health problems and to develop the most cost-effective set of interventions. Careful assessment and discussion of the potential public health benefits, ethical issues, and logistical challenges should guide the application of technological advances in population-based surveys
Burden of disease · Business · Developing country · Disease · Disease burden · Disease surveillance · Economic growth · Economics · Environmental health · Geography · Global health · Pathology · Population · Psychological intervention · Public health · Public health interventions · Risk analysis (engineering) · Scale (ratio) · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Medicine · Statistical Methods and Bayesian Inference
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A Systematic Framework for Collecting Site-Specific Sampling and Survey Data to Support Analyses of Health Impacts from Land-Based Pollution in Low- and Middle-Income Countries
Exploring ethical considerations for the use of biological and physiological markers in population-based surveys in less developed countries
Evaluations of effective coverage of maternal and child health services
Community confidentiality, consent, and the individual research process
Nonresponse in repeat population-based voluntary counseling and testing for HIV in rural Malawi
What a drop can do
Taking the Lab to the Field
Determinants of Mortality at Older Ages
| Unique citing works | 10 |
|---|---|
| Citations per year | 0,48 |
| Citation span | 2005 - 2022 (18) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 10 |