A Framework for Assessing Healthcare Facilities in Low-Resource Settings: Field Studies in Benin and Uganda
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2199-4757
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
online resource.
- Bibliographic citation
-
A Framework for Assessing Healthcare Facilities in Low-Resource Settings: Field Studies in Benin and Uganda ; volume:40 ; number:4 ; day:8 ; month:7 ; year:2020 ; pages:526-534 ; date:8.2020
Journal of medical and biological engineering ; 40, Heft 4 (8.7.2020), 526-534, 8.2020
- Creator
-
Di Pietro, Licia
Piaggio, Davide
Oronti, Iyabosola
Maccaro, Alessia
Houessouvo, Roland C.
Medenou, Daton
De Maria, Carmelo
Pecchia, Leandro
Ahluwalia, Arti
- Contributor
-
SpringerLink (Online service)
- DOI
-
10.1007/s40846-020-00546-3
- URN
-
urn:nbn:de:101:1-2020100501193456517374
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
- 14.08.2025, 10:48 AM CEST
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Di Pietro, Licia
- Piaggio, Davide
- Oronti, Iyabosola
- Maccaro, Alessia
- Houessouvo, Roland C.
- Medenou, Daton
- De Maria, Carmelo
- Pecchia, Leandro
- Ahluwalia, Arti
- SpringerLink (Online service)
Other Objects (12)
Operative Procedures in the Elderly in Low-Resource Settings: A Review of Médecins Sans Frontières Facilities
Neural machine translation for low-resource scenarios
Robust speech recognition for low-resource languages
Resource Recommendation Based on Industrial Knowledge Graph in Low-Resource Conditions
Cross-lingual metaphor detection for low-resource languages
Robust input representations for low-resource information extraction
Extremely low-resource neural machine translation for Asian languages
Neural sequence-to-sequence models for low-resource morphology
E-learning Supporting Surgical Training in Low-Resource Settings
Subword-based Neural Machine Translation for low-resource fusion languages
Neural machine translation for low-resource languages without parallel corpora
Neonatal tactile stimulation at birth in a low-resource setting
Operative Procedures in the Elderly in Low-Resource Settings: A Review of Médecins Sans Frontières Facilities
Neural machine translation for low-resource scenarios
Robust speech recognition for low-resource languages
Resource Recommendation Based on Industrial Knowledge Graph in Low-Resource Conditions
Cross-lingual metaphor detection for low-resource languages
Robust input representations for low-resource information extraction
Extremely low-resource neural machine translation for Asian languages
Neural sequence-to-sequence models for low-resource morphology
E-learning Supporting Surgical Training in Low-Resource Settings
Subword-based Neural Machine Translation for low-resource fusion languages
Neural machine translation for low-resource languages without parallel corpora
Neonatal tactile stimulation at birth in a low-resource setting
Operative Procedures in the Elderly in Low-Resource Settings: A Review of Médecins Sans Frontières Facilities
Neural machine translation for low-resource scenarios
Robust speech recognition for low-resource languages
Resource Recommendation Based on Industrial Knowledge Graph in Low-Resource Conditions
Cross-lingual metaphor detection for low-resource languages
Robust input representations for low-resource information extraction
Extremely low-resource neural machine translation for Asian languages
Neural sequence-to-sequence models for low-resource morphology
E-learning Supporting Surgical Training in Low-Resource Settings
Subword-based Neural Machine Translation for low-resource fusion languages
Neural machine translation for low-resource languages without parallel corpora