Frederick GB Goddard
Biographic Data
| ID | 9019682 |
|---|---|
| NAME | Frederick GB Goddard |
| GIVEN NAMES | Frederick GB |
| FAMILY NAME | Goddard |
| SIGNATURE | GODDARD F G |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Building capacity for maternal, newborn and child health research in low-income country settings
Background: There is a need to build research capacity to improve maternal, newborn, and child health (MNCH) in low- and middle-income countries (LMICs). To address this gap, we co-designed the HaSET (meaning 'happiness' in Amharic) MNCH Research Fellowship programme for academics and policymakers in collaboration with the Ministry of Health (MOH) and academic institutions in Ethiopia. Methods: Based on interviews and focus group discussions rega…
Development of risk prediction models for preterm delivery in a rural setting in Ethiopia
Background: Preterm birth complications are the leading causes of death among children under five years. However, the inability to accurately identify pregnancies at high risk of preterm delivery is a key practical challenge, especially in resource-constrained settings with limited availability of biomarkers assessment. Methods: We evaluated whether risk of preterm delivery can be predicted using available data from a pregnancy and birth cohort i…
No prominent works on this page.
Development of risk prediction models for preterm delivery in a rural setting in Ethiopia
Background: Preterm birth complications are the leading causes of death among children under five years. However, the inability to accurately identify pregnancies at high risk of preterm delivery is a key practical challenge, especially in resource-constrained settings with limited availability of biomarkers assessment. Methods: We evaluated whether risk of preterm delivery can be predicted using available data from a pregnancy and birth cohort i…
Building capacity for maternal, newborn and child health research in low-income country settings
Background: There is a need to build research capacity to improve maternal, newborn, and child health (MNCH) in low- and middle-income countries (LMICs). To address this gap, we co-designed the HaSET (meaning 'happiness' in Amharic) MNCH Research Fellowship programme for academics and policymakers in collaboration with the Ministry of Health (MOH) and academic institutions in Ethiopia. Methods: Based on interviews and focus group discussions rega…
Medicine (2 works) · Capacity building (1 work) · Capacity development (1 work) · Cervical Cancer and HPV Research (1 work) · Child health (1 work) · Cohort (1 work) · Cohort study (1 work) · Confidence interval (1 work) · Developing country (1 work) · Economic growth (1 work)