Title |
Validating estimates of prevalence of non-communicable diseases based on household surveys: the symptomatic diagnosis study
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Published in |
BMC Medicine, January 2015
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DOI | 10.1186/s12916-014-0245-8 |
Pubmed ID | |
Authors |
Spencer L James, Minerva Romero, Dolores Ramírez-Villalobos, Sara Gómez, Kelsey Pierce, Abraham Flaxman, Peter Serina, Andrea Stewart, Christopher JL Murray, Emmanuela Gakidou, Rafael Lozano, Bernardo Hernandez |
Abstract |
Easy-to-collect epidemiological information is critical for the more accurate estimation of the prevalence and burden of different non-communicable diseases around the world. Current measurement is restricted by limitations in existing measurement systems in the developing world and the lack of biometry tests for non-communicable diseases. Diagnosis based on self-reported signs and symptoms ("Symptomatic Diagnosis," or SD) analyzed with computer-based algorithms may be a promising method for collecting timely and reliable information on non-communicable disease prevalence. The objective of this study was to develop and assess the performance of a symptom-based questionnaire to estimate prevalence of non-communicable diseases in low-resource areas. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Scientists | 1 | 33% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 1% |
Unknown | 79 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 15% |
Student > Master | 12 | 15% |
Student > Bachelor | 11 | 14% |
Student > Doctoral Student | 7 | 9% |
Student > Ph. D. Student | 5 | 6% |
Other | 12 | 15% |
Unknown | 21 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 21 | 26% |
Psychology | 7 | 9% |
Nursing and Health Professions | 5 | 6% |
Agricultural and Biological Sciences | 4 | 5% |
Computer Science | 2 | 3% |
Other | 13 | 16% |
Unknown | 28 | 35% |