Evidence map›Paper›PMID 40170097›Full record

ArticleArchives of public health = Archives belges de sante publique2025

Longitudinal analysis of Covid-19 infection trends and in-hospital mortality across six pandemic waves in Tunisia.

Manel Ben Fredj, Amel Gara, Meriem Kacem, Wafa Dhouib, Donia Ben Hassine, Cyrine Bennasrallah, Imen Zemni, Nissaf Ben Alaya, Sondes Derouiche, Amani Maatouk and 4 more

Abstract read
In one paragraph

Article in Archives of public health = Archives belges de sante publique, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Manel Ben FredjFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia. manel-ben-fredj@hotmail.fr.
Amel GaraFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Meriem KacemFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Wafa DhouibFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Donia Ben HassineFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Cyrine BennasrallahFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Imen ZemniFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Nissaf Ben AlayaNational Observatory of New and Emerging Diseases, Ministry of Health, Tunis, Tunisia.
Sondes DerouicheNational Observatory of New and Emerging Diseases, Ministry of Health, Tunis, Tunisia.
Amani MaatoukFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Ines BouaneneFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Hela AbrougFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Asma Belguith SrihaFaculty of Medicine of Monastir, University of Monastir, Monastir, Tunisia.
Group investigators

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe global impact of the COVID-19 pandemic was remarkably diverse, unfolding with multiple waves that have touched countries and continents in distinctive ways, leading to varying rates of mortality. The objectives of this study were to examine the characteristics and in-hospital fatality rates of COVID-19 patients hospitalized in the Monastir governorate over two years, with an overall analysis and a wave-specific breakdown throughout the pandemic's progression.

methodsWe carried out a two-year longitudinal study, enrolling all COVID-19-infected patients admitted to both public and private health facilities in the governorate of Monastir from March 2020 to March 2022. The study covered six complete infection waves. Patients were followed from their first day of admission to their outcome in hospital. The data were collected using a questionnaire manually completed by well-trained residents. The data were globally analyzed across all hospitalized patients and then compared based on the different waves.

resultsOverall, 5176 were hospitalized. The cumulative in-hospital case fatality rate (CFR) over the study period was 21.4%. After the first wave (W1), the in-hospital CFR followed a gradual increase, reaching its peak at 27.5% during W4 (alpha variant). Later, it decreased to 21.8% during W5 (delta variant), and further declined to 19.5% during W6, associated with the Omicron variant (overall p < 0.001). W5 exhibited the highest proportions of infections, hospitalizations, and in-hospital deaths. W6 featured a low hospitalization rate of 2.8% and a decline in severe cases. Nevertheless, there was a significant surge in hospitalizations among both the pediatric (≤ 18 years) and geriatric (≥ 75 years) populations, with a pronounced impact on the elderly with chronic conditions. This surge resulted in an increase in fatalities among the elderly. The length of stay (LoS) decreased throughout the course of the pandemic, declining from 13 days [10;14] in W1 to 4 days [2;9] in W6 with almost half of them had a LoS less than seven days (55.6%).

conclusionThis study underscores the critical interplay of variant-specific disease severity, patient demographics, and evolving healthcare responses in managing COVID-19's impact on hospital outcomes.

Indexed as

HospitalMortalitySARS-Cov-2TrendsTunisia

Identifiers

PMID40170097
PMCPMC11959794

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.