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June 12, 2026BMC Infectious DiseasesOpen Access

Survival analysis and mortality predictors of COVID-19 across the six-wave pattern of the pandemic in Monastir, Tunisia

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Authors

MFManel Ben FredjUniversity of MonastirAMAmani MaatoukUniversity of MonastirWDWafa DhouibUniversity of Monastir

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Overview

Prospective cohort study analyzes COVID-19 survival rates and predictors of mortality in a specific region, implying targeted interventions could improve outcomes.

Key Points

  • This study aims to analyze the survival rates and identify mortality predictors of COVID-19 during six waves in Monastir, Tunisia.
  • Conducted a prospective cohort study of COVID-19 patients admitted to healthcare facilities between March 2020 and March 2022.
  • Monitored patients throughout their hospital stay and collected data using a structured questionnaire.
  • Performed survival analysis using the Cox model with multivariate analysis to assess mortality risk factors.
  • The 30-day survival rate reached a minimum of 30.6% during the fourth wave and 29.5% during the fifth wave.
  • The overall 30-day cumulative in-hospital mortality probability among COVID-19 hospitalizations was 57.4%.
  • Independent predictors of mortality included age over 75 years (HR 3.44), cancer (HR 1.90), and neurological symptoms (HR 1.30).

Cite This Study

Fredj et al. (2026) studied this question.

synapsesocial.com/papers/6a2ba44e8101cf8926f02ba3https://doi.org/10.1186/s12879-026-13659-y
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