Evidence map›Paper›PMID 39396980›Full record

ArticleBMC public health2024

Impact of pharmaceutical and non-pharmaceutical interventions on COVID-19 in Tunisia.

Hela Abroug, Cyrine Bennasrallah, Manel Ben Fredj, Meriem Kacem, Manel Ben Belgacem, Wafa Dhouib, Amel Gara, Amani Maatouk, Imen Zemni, Donia Ben Hassine and 3 more

Abstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
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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

13 authors.

Hela AbrougDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Cyrine BennasrallahDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia. cyrine.bennasrallah@gmail.com.
Manel Ben FredjDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Meriem KacemDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Manel Ben BelgacemDepartment of Pharmacology, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Wafa DhouibDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Amel GaraDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Amani MaatoukDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Imen ZemniDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Donia Ben HassineDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Syrine GallasPhysiology Department, Faculty of Medecine of Monastir, Monastir, Tunisia.
Ines BouaneneDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.
Asma Sriha BelguithDepartment of Epidemiology and Preventive Medicine, University Hospital Fattouma Bourguiba of Monastir, Monastir, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn COVID-19 management, a variety of pharmaceutical interventions (PI) and non- pharmaceutical interventions (NPI) were adopted to limit the spread of the disease and its associated deaths. We aimed to evaluate the impact of PI and NPI on risks of COVID-19 transmission and deaths.

methodWe collected aggregate data from March 2nd, 2020, to December 1, 2022 from the Tunisian Ministry of Health's website and OurWorldInData.org site. NPI Periods (NPIP: March 2020 to March 2021) and PI Periods (PIP) were distributed to NPIP1, 2, 3 and 4 and to PIP1, 2, 3 and 4, respectively. We calculated the Relative Risks (RR) and 95% Confidence Intervals (CI) by comparing the subsequent period with previous one.

resultsThe risk of SARS-CoV-2 transmission increased progressively from the zero cases period (NPIP2) to the mitigate strategy period (NPIP3) (RR = 14.0; 95% CI: 12.4-15.8) and to the stop-and-go epidemic control period (NPIP4) (RR = 23.1 (95% CI: 22.4-23.9). It was stabilized in the targeted vaccination period (PIP1) (RR = 1.08, 95% CI: 1.07-1.08) and reduced during the mass vaccination period (PIP2) (RR: 0.50, 95% CI: 0.50-0.51). SARS-CoV-2 transmission, increased during PIP3 concomitant with the Omicron wave (RR = 2.65, 95% CI: 2.64-2.67). It remained at a low level in PIP4 (RR = 0.18; 95% CI: 0.18-0.18). Compared to NPIP2, NPIP3 and NPIP4 were associated with a higher risk of COVID-19 mortality (RR = 3.337; 95% CI: 1.797-6.195) and (RR = 72.63 (95% CI: 54.01-97.68), respectively. Since the start of the immunization program, the risk of COVID-19 death has consistently decreased. In comparison to each previous period, the risk transitioned in PIP1 to RR = 0.91; 95% CI: 0.88-0.93, then to RR = 0.85; 95% CI: 0.83-0.88 in PIP2, to RR = 0.47; 95% CI: 0.45-0.50 in PIP3, and to RR = 0.19; 95% CI: 0.18-0.24 during PIP4.

conclusionIn terms of lowering the risk of transmission and mortality, the NP strategy at the beginning of the epidemic outperformed the IP strategy during the outbreak.

Indexed as

COVID-19COVID-19 VaccinesHumansSARS-CoV-2TunisiaCOVID-19 VaccinesCoronavirusCOVID-19Health impact assessmentInfectionPublic healthQuarantineVaccination

Identifiers

PMID39396980
PMCPMC11472591

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.