Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study

Authors

Ibrahem Hanafi (ORCID: https://orcid.org/0000-0001-5306-0128)
Sondos Sallam
Manaf Jassem (ORCID: https://orcid.org/0000-0002-8201-1197)
Marah Alsalkini (ORCID: https://orcid.org/0000-0002-8791-5152)
Bayan Hanafi (ORCID: https://orcid.org/0009-0002-4274-6540)
Samaher Almousa (ORCID: https://orcid.org/0000-0002-9058-2344)
Lyana Alzamel
Ola Alnabelsi
Ghaya Salhab
Alaa Almouhammad
Majd Abu Khamis
Rahaf Alsoudi
Taj Azzam
Zen Afif
Qamar Khoder

Institutions

University of Aleppo (SY)
Latakia University (SY)
Homs University (SY)
Damascus Hospital (SY)
Arab International University (SY)
Syrian Private University (SY)
Damascus University (SY)

Publication Details

Journal: BMC Infectious Diseases
Published: 2025-11-04
DOI: https://doi.org/10.1186/s12879-025-11870-x
Citations: 1
Primary Topic: COVID-19 epidemiological studies
Type: article
Field-Weighted Citation Impact: 1.37

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article

Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study

Ibrahem Hanafi, Sondos Sallam, Manaf Jassem, Marah Alsalkini et al.

Nov 4, 2025

1 citations

BMC Infectious Diseases

COVID-19 epidemiological studies

1.37

article

Forecasting COVID-19 inpatient mortality using fundamental parameters in resource-constrained settings: a countrywide multi-center cohort study

Ibrahem Hanafi, Sondos Sallam, Manaf Jassem, Marah Alsalkini, Bayan Hanafi, Samaher Almousa, Lyana Alzamel, Ola Alnabelsi, Ghaya Salhab, Alaa Almouhammad, Majd Abu Khamis, Rahaf Alsoudi, Taj Azzam, Zen Afif, Qamar Khoder

November 4, 2025article en

1 citations

Abstract

No abstract available for this paper.

BMC Infectious DiseasesVol. 25(1)

University of Aleppo (SY), Latakia University (SY), Homs University (SY), Damascus Hospital (SY), Arab International University (SY), Syrian Private University (SY), Damascus University (SY)

Openalex Percentile: Top 16%

COVID-19 epidemiological studies

1.37

DOI Open Access PDF OpenAlex

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