Evidence map›Paper›PMID 41020066›Full record

ArticleFrontiers in epidemiology2025

Geographic mapping and spatiotemporal patterns of tuberculosis in Libya within ten years' period (2015 to 2024).

Mohamed Ali Daw, Abdallah H El-Bouzedi, Saleh Ali Abumahara, Abdurrahman Khalifa Najjar, Nouri R Ben Ashur, Alaa Grebi, Amnnh Mohammed Dhu, Ali Fathi Alkarghali, Shahid Husayn Mohammed, Raja Khalid Miftah and 7 more

Abstract read
In one paragraph

Article in Frontiers in epidemiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Biomolecules & biomedicine · 2026
    Pooled it
  2. Review
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

17 authors.

Mohamed Ali DawDepartment of Medical Microbiology & Immunology, Faculty of Medicine, University of Tripoli, Tripoli, Libya.
Abdallah H El-BouzediDepartment of Statistics, Faculty of Science, Tripoli University, Tripoli, Libya.
Saleh Ali AbumaharaFaculty of Medicine, Department of Surgery, Tripoli, Libya.
Abdurrahman Khalifa NajjarFaculty of Medicine, Department of Surgery, Tripoli, Libya.
Nouri R Ben AshurFaculty of Medicine, Department of Surgery, Tripoli, Libya.
Alaa GrebiFaculty of Medicine, Department of Gynecology, Tripoli Medical Centre, Tripoli, Libya.
Amnnh Mohammed DhuFaculty of Medicine, Department of Gynecology, Tripoli Medical Centre, Tripoli, Libya.
Ali Fathi AlkarghaliFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Shahid Husayn MohammedFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Raja Khalid MiftahFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Najmuldin Abdulbasit AbdulsamadFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Mohammed Saad ElbashaFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Asawer Seifennaser DoukaliFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Nosieba Taher ElmhidwiFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Esra Othman AlbouzaidiFaculty of Medicine, University of Tripoli, Tripoli, Libya.
Said Emhamed WaregDepartment of Biology, University of Nalout, Nalout, Libya.
Mohamed Omar AhmedDepartment of Microbiology & Parasitology, Faculty of Veterinary Medicine, University of Tripoli, Tripoli, Libya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tuberculosis(TB) is still a serious problem with a remarkable global impacts particularly within developing countries such as Libya. According to World Health Organization (WHO) global report, the country is considered a moderate TB burden with incidence of 40 per 100,000 in 2011. Geographic epidemiology has been considered an important tool in preventing TB in large countries. In this study, we intended to identify the geographic and spatiotemporal patterns of the TB incidence rate in Libya between 2015 and 2024. Methods: A cross-sectional retrospective analytical study was conducted within ten years on the data reported through the National TB surveillance system. The data on all TB cases reported from 2015 to 2024 by municipality and region was abstracted. Choropleth maps were drawn showing the TB case notification rates (CNR) per 100,000. Local Moran's I was performed to identify the spatial variations of the disease and temporal and Spatiotemporal analyses were employed in all instances. Results: During the entire study period, 26,478 TB cases were reported from all 22 municipalities in Libya with an annual rate of 40.29/100,000 (95% CI: (40.229 ± 9.01). The highest incidence was reported in 2015 and the lowest one in 2024. Males were significantly reported more than females among notified TB cases, ( Conclusion: The results of this study provided clear insights into the geographic and spatiotemporal mapping of TB in Libya. There was an overall decreasing trend in TB CNR from 2015 to 2024 parallel with high-risk and low-risk areas. This information should allow the decision-making personnel to implement proper policies to combat TB at national and regional levels.

Indexed as

case notification rategeographic patternsLibyatemporal trendstuberculosis (TB)

Identifiers

PMID41020066
PMCPMC12460455

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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.