Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Mariam AlSaedi"'
Autor:
Amal AlKhoori, Nico Nagelkerke, Aysha AlAryani, Latifa Mohammad Baynouna AlKetbi, Mariam AlSaedi, Hanan Abdelbaqi, Fatima Kayani, Shamma AlKhajeh, Fatima ALBlooshi, Mariam AlShamsi, Saeed AlDhahei, Shamsa Almansoori, Noura Alblooshi, Ruqaya AlNuaimi, Sumaya AlAmeri, Jehan AlFalahi
Publikováno v:
Journal of Epidemiology and Global Health
Background Prediction models are essential for informing screening, assessing prognosis, and examining options for treatment. This study aimed to assess the risk of SARS-CoV-2 infection severity in the Abu Dhabi population. Methods This is a mixed re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3144524522670c11e3a048523dc5f0a
http://europepmc.org/articles/PMC8381146
http://europepmc.org/articles/PMC8381146
Autor:
Fatima Kayani, Nico Nagelkerke, Naji AlMestika, Ruqaya AlNuaimi, Latifa Mohammad Baynouna AlKetbi, Mariam AlSaedi, Noura Alblooshi, Ibrahim Al Hammadi, Fatima ALBlooshi, Shamma AlKhajeh, Ahmed Al Jiziri, Saeed AlDhahei, Jehan AlFalahi, Shamsa Almansoori, Amal AlKhoori, Mariam AlShamsi, Aysha AlAryani, Hanan Abdelbaqi
ObjectivesThe United Arab Emirates responded to the SARS-COV-2 pandemic and widely implemented test-and-trace strategy. In this cross-sectional questionnaire-based study 531 subjects presenting for SARS-COV-2 testing were recruited to study populatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eccd32e8418cc55e53afdce1a1b4d75c
https://doi.org/10.1101/2021.02.19.21251841
https://doi.org/10.1101/2021.02.19.21251841
