Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Najwa Al-Dheeb"'
Autor:
Rana A. Hussein, Mark P. Suprenant, Najwa Al-Dheeb, Saul Guerrero, Eleanor Rogers, Fouzia Shafique, Meredith Dyson, Muhammad H. Zaman
Publikováno v:
Conflict and Health, Vol 15, Iss 1, Pp 1-13 (2021)
Abstract Introduction The ongoing civil war in Yemen has severely restricted imports of food and fuel, disrupted livelihoods and displaced millions, worsening already high pre-war levels of food insecurity. Paired with frequent outbreaks of disease a
Externí odkaz:
https://doaj.org/article/f59bed9282ec421cb140ba70938dbadf
Autor:
Mark P. Suprenant, Anuraag Gopaluni, Meredith K. Dyson, Najwa Al-Dheeb, Fouzia Shafique, Muhammad H. Zaman
Publikováno v:
Conflict and Health, Vol 14, Iss 1, Pp 1-16 (2020)
Abstract Introduction The ongoing war in Yemen continues to pose challenges for healthcare coverage in the country especially with regards to critical gaps in information systems needed for planning and delivering health services. Restricted access t
Externí odkaz:
https://doaj.org/article/75f27cfc510b40d586b59c7a25f380dc
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
The continuous and protracted conflict in Yemen has evolved into the worst humanitarian situation in modern history. All public structures in the country, including the health system and its basic functions, have been under tremendous pressures. One
Externí odkaz:
https://doaj.org/article/23c7a644c46743c483a6e60eae56eeeb
Autor:
Rana A Hussein, Megan Gayford, Peter Hailey, Saul Guerrero, Anne-Celine Delinger, Najwa Al-Dheeb, Senan Alajel, Fouzia Shafique, Muhammad H Zaman
Background: Several machine learning models, seeking to assess and predict rates of child malnutrition, have been developed in recent years in response to a growing burden of under-five child malnutrition in conflict and crisis settings. These models
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ac5004a384d1ab1339d42dde5000f1d
https://doi.org/10.21203/rs.3.rs-2488437/v1
https://doi.org/10.21203/rs.3.rs-2488437/v1
Autor:
Saul Guerrero, Meredith Dyson, Rana A Hussein, Eleanor Rogers, Fouzia Shafique, Najwa Al-Dheeb, Muhammad H. Zaman, Mark Suprenant
Publikováno v:
Conflict and Health, Vol 15, Iss 1, Pp 1-13 (2021)
Conflict and Health
Conflict and Health
Introduction The ongoing civil war in Yemen has severely restricted imports of food and fuel, disrupted livelihoods and displaced millions, worsening already high pre-war levels of food insecurity. Paired with frequent outbreaks of disease and a coll
Autor:
Rana A Hussein, Mark Suprenant, Saul Guerrero, Meredith Dyson, Najwa Al-Dheeb, Muhammad H. Zaman, Eleanor Rogers, Fouzia Shafique
Introduction: Conflict-affected settings - where starvation is often used as a weapon of war and deliveries of food restricted by warring parties, millions are displaced and economies are crippled, and health infrastructure destroyed - have become in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9ae3fdbce7d98532eb66a1d91e9ee181
https://doi.org/10.21203/rs.3.rs-110943/v1
https://doi.org/10.21203/rs.3.rs-110943/v1
Autor:
Muhammad H. Zaman, Anuraag Gopaluni, Mark Suprenant, Meredith Dyson, Najwa Al-Dheeb, Fouzia Shafique
Publikováno v:
Conflict and Health
Conflict and Health, Vol 14, Iss 1, Pp 1-16 (2020)
Conflict and Health, Vol 14, Iss 1, Pp 1-16 (2020)
Introduction The ongoing war in Yemen continues to pose challenges for healthcare coverage in the country especially with regards to critical gaps in information systems needed for planning and delivering health services. Restricted access to social
Autor:
Mark Suprenant, Anuraag Gopaluni, Meredith Dyson, Najwa Al-Dheeb, Fauzia Shafique, Muhammad Zaman
Introduction: The ongoing war in Yemen continues to pose challenges for healthcare coverage in the country especially with regards to critical gaps in information systems needed for planning and delivering health services. Restricted access to social
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::295606b103b1c5bcb14f94bd4b317a9a
https://doi.org/10.21203/rs.2.20673/v2
https://doi.org/10.21203/rs.2.20673/v2