Determining population-specific risk factors for COVID-19 susceptibility and severity to inform future individual-level integrated risk scoring

Identified risk factors are consistent with meta-analyses of studies from other countries. Similar to other countries, minority groups were found to be at higher risk, therefore risk models predicting ARI susceptibility and severity have to take this into account.

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2025-08-04
DOI
https://doi.org/10.1186/s12879-025-11357-9
Citations
1
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
1.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Determining population-specific risk factors for COVID-19 susceptibility and severity to inform future individual-level integrated risk scoring

Haneen Shibli, Michael Edelstein, David Karasik, Ilham Morani
1 citations
BMC Infectious Diseases
COVID-19 epidemiological studies
1.37
article

Determining population-specific risk factors for COVID-19 susceptibility and severity to inform future individual-level integrated risk scoring

Haneen Shibli, Michael Edelstein, David Karasik, Ilham Morani
article en
1 citations

Abstract

Identified risk factors are consistent with meta-analyses of studies from other countries. Similar to other countries, minority groups were found to be at higher risk, therefore risk models predicting ARI susceptibility and severity have to take this into account.

BMC Infectious DiseasesVol. 25(1)
Bar-Ilan University (IL)
Openalex Percentile: Top 18%
COVID-19 epidemiological studies
1.37
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.