Cargando…
Optimal two-stage spatial sampling design for estimating critical parameters of SARS-CoV-2 epidemic: Efficiency versus feasibility
The COVID-19 pandemic presents an unprecedented clinical and healthcare challenge for the many medical researchers who are attempting to prevent its worldwide spread. It also presents a challenge for statisticians involved in designing appropriate sampling plans to estimate the crucial parameters of...
Autores principales: | Alleva, G., Arbia, G., Falorsi, P. D., Nardelli, V., Zuliani, A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10062269/ https://www.ncbi.nlm.nih.gov/pubmed/37360252 http://dx.doi.org/10.1007/s10260-023-00688-z |
Ejemplares similares
-
Observed and estimated prevalence of Covid-19 in Italy: How to estimate the total cases from medical swabs data
por: Bassi, F., et al.
Publicado: (2021) -
From mobile crowdsourcing to crowd-trusted food price in Nigeria: statistical pre-processing and post-sampling
por: Arbia, Giuseppe, et al.
Publicado: (2023) -
Two-stage sampling in the estimation of growth parameters and percentile norms: sample weights versus auxiliary variable estimation
por: Vamvakas, George, et al.
Publicado: (2021) -
Parameter Scaling for Epidemic Size in a Spatial Epidemic Model with Mobile Individuals
por: Urabe, Chiyori T., et al.
Publicado: (2016) -
Accounting for incomplete testing in the estimation of epidemic parameters
por: Betensky, R.A., et al.
Publicado: (2020)