Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
Título
Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria
Autor
Francesco Checchi, Oliver J. Watson, Mervat Alhaffar, Zaki Mehchy, Charles Whittaker, Zack Akil, Nicholas F. Brazeau, Gina Cuomo-Dannenburg, Arran Hamlet, Hayley A. Thompson, Marc Baguelin, Richard G. FitzJohn, Edward Knock, John A. Lees, Lilith K. Whittles, Thomas Mellan, Peter Winskill, Imperial College COVID-19 Response Team, Natasha Howard, Hannah Clapham, Neil Ferguson, Azra Ghani, Emma Beals, Patrick Walker
Descripción
Reported COVID-19 mortality rates have been relatively low in Syria, but there has been concern about overwhelmed health systems. Here, the authors use community mortality indicators and estimate that
Fecha
2021
Identificador
10.1038/s41467-021-22474-9
Fuente
Epidemiology and Health
Editor
Korean Society of Epidemiology
Cobertura
Science
Archivos
Colección
Citación
Francesco Checchi, Oliver J. Watson, Mervat Alhaffar, Zaki Mehchy, Charles Whittaker, Zack Akil, Nicholas F. Brazeau, Gina Cuomo-Dannenburg, Arran Hamlet, Hayley A. Thompson, Marc Baguelin, Richard G. FitzJohn, Edward Knock, John A. Lees, Lilith K. Whittles, Thomas Mellan, Peter Winskill, Imperial College COVID-19 Response Team, Natasha Howard, Hannah Clapham, Neil Ferguson, Azra Ghani, Emma Beals, Patrick Walker, “Leveraging community mortality indicators to infer COVID-19 mortality and transmission dynamics in Damascus, Syria,” SOCICT Open, consulta 19 de abril de 2026, https://www.socictopen.socict.org/items/show/9184.
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