Open AccessMeasuring Coverage in MNCH: Total Survey Error and the Interpretation of Intervention Coverage Estimates from Household Surveys
Author(s) -
Thomas P. Eisele,
Dale A. Rhoda,
Felicity Cutts,
Joseph Keating,
Ruilin Ren,
Aluísio J D Barros,
Fred Arnold
Publication year - 2013
Publication title -
plos medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.847
H-Index - 228
eISSN - 1549-1676
pISSN - 1549-1277
DOI - 10.1371/journal.pmed.1001386
Subject(s) - context (archaeology) , survey data collection , sampling (signal processing) , confidence interval , population , statistics , point estimation , intervention (counseling) , psychological intervention , small area estimation , medicine , environmental health , geography , computer science , mathematics , archaeology , filter (signal processing) , estimator , psychiatry , computer vision
In a PLOS Medicine Review, Thomas Eisele and colleagues discuss the importance of considering sampling and non-sampling errors when interpreting estimates of coverage of maternal, newborn, and child health interventions based on data from household surveys.