Biases in Survey Estimates of Neonatal Mortality
Results From a Validation Study in Urban Areas of Guinea-Bissau
Bibliographic Data
| ID | 10967821 |
|---|---|
| Authors | Helleringer (0000-0002-5921-9651, New York University Abu Dhabi, corresponding author), Stephane Helleringer, Li Liu (0000-0002-5257-3391, Johns Hopkins University), Yue Chu (0009-0002-3382-0577, The Ohio State University), Amabelia Rodrigues (0000-0002-7976-1157, Bandim Health Project, Bissau, Guinea-Bissau), Ane Bærent Fisker (0000-0002-8521-0992, University of Southern Denmark), Ane Barent Fisker (Bandim Health Project, Bissau, Guinea-Bissau) |
| Year | 2020 |
| Volume | 57 |
| Issue | 5 |
| Pages | 1705-1726 |
| Publication date | 2020-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Demography (JOURNAL) |
| Journal identifiers | ISSN: 0070-3370 • E-ISSN: 1533-7790 |
| Publisher | Duke University Press (PUBLISHER • US) |
| DOI | 10.1007/s13524-020-00911-6 |
| PMID | 32914335 |
| OpenAlex | W3086079380 |
| Language | EN |
| Citations received | 11 |
| References cited | 37 |
Neonatal deaths (occurring within 28 days of birth) account for close to one-half of all deaths among children under age 5 worldwide. In most low- and middle-income countries, data on neonatal deaths come primarily from household surveys. We conducted a validation study of survey data on neonatal mortality in Guinea-Bissau (West Africa). We used records from an urban health and demographic surveillance system (HDSS) that monitors child survival prospectively as our reference data set. We selected a stratified sample of 599 women aged 15–49 among residents of the HDSS and collected the birth histories of 422 participants. We cross-tabulated survey and HDSS data. We used a mathematical model to investigate biases in survey estimates of neonatal mortality. Reporting errors in survey data might lead to estimates of the neonatal mortality rate that are too high, which may limit our ability to track progress toward global health objectives
Environmental health · Ethnology · Geography · New guinea · Population · Sociology · Statistics · Child Nutrition and Water Access · Demography · Global Maternal and Child Health · Healthcare Systems and Reforms · History · Mathematics · Medicine
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| Unique citing works | 11 |
|---|---|
| Citations per year | 2.2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 11 |