Title |
Measuring Coverage in MNCH: A Validation Study Linking Population Survey Derived Coverage to Maternal, Newborn, and Child Health Care Records in Rural China
|
---|---|
Published in |
PLOS ONE, May 2013
|
DOI | 10.1371/journal.pone.0060762 |
Pubmed ID | |
Authors |
Li Liu, Mengying Li, Li Yang, Lirong Ju, Biqin Tan, Neff Walker, Jennifer Bryce, Harry Campbell, Robert E. Black, Yan Guo |
Abstract |
Accurate data on coverage of key maternal, newborn, and child health (MNCH) interventions are crucial for monitoring progress toward the Millennium Development Goals 4 and 5. Coverage estimates are primarily obtained from routine population surveys through self-reporting, the validity of which is not well understood. We aimed to examine the validity of the coverage of selected MNCH interventions in Gongcheng County, China. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 139 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 139 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 14% |
Student > Master | 20 | 14% |
Researcher | 19 | 14% |
Student > Doctoral Student | 11 | 8% |
Student > Postgraduate | 10 | 7% |
Other | 27 | 19% |
Unknown | 32 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 37 | 27% |
Social Sciences | 17 | 12% |
Nursing and Health Professions | 14 | 10% |
Psychology | 6 | 4% |
Economics, Econometrics and Finance | 4 | 3% |
Other | 20 | 14% |
Unknown | 41 | 29% |