Cargando…
Guesstimating the COVID-19 burden: what is the best model?
There has been significant underreporting in countries that employ only a symptom-based algorithmic testing approach for COVID-19, focusing exclusively on health-conscious people who present to facilities (volunteer bias). Mass-level, population-based serologic testing has demonstrated groundbreakin...
Autores principales: | Javed, Wajiha, Farooq, Wajiha, Jaffari, Anzal Abbas |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9212247/ http://dx.doi.org/10.1016/B978-0-323-99277-0.00027-9 |
Ejemplares similares
-
Guesstimates are not good enough for determining what is happening in routine care
por: Heong, V, et al.
Publicado: (2010) -
Reply: Guesstimates are not good enough for determining what is happening in routine care
por: Shabaruddin, F H, et al.
Publicado: (2010) -
Guesstimation: solving the world's problems on the back of a cocktail napkin
por: Weinstein, Lawrence, et al.
Publicado: (2008) -
Guesstimation 2.0:: solving today's problems on the back of a napkin
por: Weinstein, Lawrence, et al.
Publicado: (2012) -
Seroprevalence and characteristics of Coronavirus Disease (COVID-19) in workers with non-specific disease symptoms
por: Javed, Wajiha, et al.
Publicado: (2022)