A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2026-03-17
DOI
https://doi.org/10.1186/s12879-026-13088-x
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making

Yuanke Qu, Hengtao Zhang, Chun Yin Lee
BMC Infectious Diseases
COVID-19 epidemiological studies
article

A Bayesian estimator of the real-time case fatality rate in emerging pandemic to inform public health policy-making

Yuanke Qu, Hengtao Zhang, Chun Yin Lee
article en

Abstract

No abstract available for this paper.
BMC Infectious Diseases
Hang Seng University of Hong Kong (HK), Guangdong Ocean University (CN), University of Hong Kong (HK)
Good health and well-being
Openalex Percentile: Top 22%
COVID-19 epidemiological studies
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.