Evidence map›Paper›PMID 38707473›Full record

ArticleHeliyon2024

Determining the bacterial and viral meningitis trend in Iraq from 2007 till 2023 using joinpoint regression.

Hanan Abdulghafoor Khaleel, Riyadh Abdulameer Alhilfi, Salman Rawaf, Zeenah Atwan, Ameen Abdulhasan Al-Alwany, Mays Raheem, Celine Tabche

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Hanan Abdulghafoor KhaleelCommunicable Diseases Control Centre, Directorate of Public Health, Ministry of Health, Baghdad, Iraq.
Riyadh Abdulameer AlhilfiDirectorate of Public Health, Ministry of Health, Baghdad, Iraq.
Salman RawafWHO Collaborating Centre, Department of Primary Care and Public Health, Imperial College London, UK.
Zeenah AtwanVirology, Faculty of Medicine, University of Basrah, Iraq.
Ameen Abdulhasan Al-AlwanyUniversity of Bagdad College of Medicine, Iraq.
Mays RaheemWHO Collaborating Centre, Department of Primary Care and Public Health, Imperial College London, UK.
Celine TabcheWHO Collaborating Centre, Department of Primary Care and Public Health, Imperial College London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Acute meningitis is a disease with case fatality and disability rate that is dependent on the causative agent. Objective: Determine the meningitis trend in Iraq from 2007 to 2023 using a joinpoint regression at national and sub-national levels and describe the epidemiology. Methods: Joinpoint regression model was used on surveillance data from Jan 2007 until May 2023, to calculate annual and average annual percent changes to determine the trend. Meningitis total count was modelled by year of reporting and province using the log transformation and Poisson variance. Best-fit model was chosen based on the weighted BIC criteria as the final point. Results: Bacterial meningitis was higher than viral meningitis from 2007 to 2018, then viral meningitis started to exceed till 2023. Meningococcal meningitis was lower than other bacterial and viral meningitis from 2007 to 2023. Most meningitis cases across the years were lower than 15 years, at almost 80 %, while 20 %-40 % were lower than one year. Across all years, 55 % of the cases were males; apart from 2019, 70 % were females. Conclusion: In Iraq, viral meningitis has been the predominant type since 2018. Most meningitis patients were lower than 15-year-old males. The meningitis trend in Iraq was stable from 2007 till 2023.

Indexed as

Communicable diseasesInfectious diseasesIraqJoinpoint regressionMeningitisTrendViral meningitis

Identifiers

PMID38707473
PMCPMC11066402

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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.