Title |
Using verbal autopsy to measure causes of death: the comparative performance of existing methods
|
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Published in |
BMC Medicine, January 2014
|
DOI | 10.1186/1741-7015-12-5 |
Pubmed ID | |
Authors |
Christopher JL Murray, Rafael Lozano, Abraham D Flaxman, Peter Serina, David Phillips, Andrea Stewart, Spencer L James, Alireza Vahdatpour, Charles Atkinson, Michael K Freeman, Summer Lockett Ohno, Robert Black, Said Mohammed Ali, Abdullah H Baqui, Lalit Dandona, Emily Dantzer, Gary L Darmstadt, Vinita Das, Usha Dhingra, Arup Dutta, Wafaie Fawzi, Sara Gómez, Bernardo Hernández, Rohina Joshi, Henry D Kalter, Aarti Kumar, Vishwajeet Kumar, Marilla Lucero, Saurabh Mehta, Bruce Neal, Devarsetty Praveen, Zul Premji, Dolores Ramírez-Villalobos, Hazel Remolador, Ian Riley, Minerva Romero, Mwanaidi Said, Diozele Sanvictores, Sunil Sazawal, Veronica Tallo, Alan D Lopez |
Abstract |
Monitoring progress with disease and injury reduction in many populations will require widespread use of verbal autopsy (VA). Multiple methods have been developed for assigning cause of death from a VA but their application is restricted by uncertainty about their reliability. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 40% |
United Kingdom | 1 | 20% |
Pakistan | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Bangladesh | 1 | <1% |
Tanzania, United Republic of | 1 | <1% |
Pakistan | 1 | <1% |
Ecuador | 1 | <1% |
India | 1 | <1% |
Unknown | 186 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 41 | 21% |
Student > Master | 32 | 17% |
Student > Ph. D. Student | 23 | 12% |
Other | 13 | 7% |
Student > Doctoral Student | 10 | 5% |
Other | 36 | 19% |
Unknown | 36 | 19% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 74 | 39% |
Social Sciences | 23 | 12% |
Nursing and Health Professions | 14 | 7% |
Agricultural and Biological Sciences | 12 | 6% |
Computer Science | 6 | 3% |
Other | 22 | 12% |
Unknown | 40 | 21% |