Evidence map›Paper›PMID 38558556›Full record

ReviewThe Pan African medical journal2024

Trend of Lassa fever cases and factors associated with mortality in Liberia, 2016 - 2021: a secondary data analysis.

Emmanuel Dwalu, Ralph Weah Jetoh, Bode Ireti Shobayo, Irene Pewu, Fahn Taweh, Himiede Wede Wilson-Sesay, Godwin Etim Akpan, Fulton Shannon, Babalola Obafemi Joseph, Chukwuma David Umeokonkwo and 5 more

Abstract readReview
In one paragraph

Review in The Pan African medical journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 2 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

4 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Clinical Outcomes of Severe Lassa Fever in West Africa: A Systematic Review and Meta-Analysis.International journal of environmental research and public health · 2025
    Pooled it
  2. Pooled it
  3. Review
  4. 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

15 authors.

Emmanuel DwaluNational Public Health Institute of Liberia, Monrovia, Liberia.
Ralph Weah JetohNational Public Health Institute of Liberia, Monrovia, Liberia.
Bode Ireti ShobayoNational Public Health Institute of Liberia, Monrovia, Liberia.
Irene PewuNational Public Health Institute of Liberia, Monrovia, Liberia.
Fahn TawehNational Public Health Institute of Liberia, Monrovia, Liberia.
Himiede Wede Wilson-SesayLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Godwin Etim AkpanLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Fulton ShannonLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Babalola Obafemi JosephLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Chukwuma David UmeokonkwoLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Peter AdewuyiLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Maame Amo-AddaeLiberia Field Epidemiology Training Program, Monrovia, Liberia.
Thomas Knue NagbeNational Public Health Institute of Liberia, Monrovia, Liberia.
Julius GilayenehNational Public Health Institute of Liberia, Monrovia, Liberia.
Jane Amanda MaCauleyNational Public Health Institute of Liberia, Monrovia, Liberia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lassa fever (LF) is endemic in Liberia and is immediately reportable. Suspected cases are confirmed at the National Public Health Reference Laboratory. However, there is limited information on the trend and factors associated with mortality. We described the epidemiological characteristics of LF cases and determined factors associated with mortality in Liberia from 2016 to 2021. Methods: we reviewed 867 case-based LF surveillance data from 2016 to 2021 obtained from the National Public Health Institute of Liberia (NPHIL). The cases that met the suspected LF case definition were tested with RT-PCR. Using Epi Info 7.2.5.0. We conducted univariate, bivariate, and multivariate and analysis. We calculated frequencies, proportions. Positivity rate, case fatality rate, and factors associated with LF mortality using chi-square statistics and logistics regression at 5% level of significance. Results: eighty-five percent (737/867) of the suspected cases were tested and 26.0% (192/737) were confirmed LF positive. The median age of confirmed LF cases was 21(IQR: 12-34) years. Age 10-19 years accounted for 24.5% (47/192) and females 54.2% (104/192). Bong 33.9% (65/192), Grand Bassa 31.8% (61/192), and Nimba counties, 21.9% (42/192) accounted for most of the cases. The median duration from symptom onset to hospital admission was 6 (IQR: 3-9) days. A majority, 66% (126/192) of the cases were reported during the dry season (October-March) and annual incidence was highest at 12 cases per 1,000,000 population in 2019 and 2020. The overall case fatality rate was 44.8%. Non-endemic counties, Margibi, 77.8% and Montserrado, 66.7% accounted for the highest case fatality rate (CFR), while 2018, 66.7% and 2021, 60.0% recorded the highest CFR during the period. Age ≥30 years (aOR=2.1,95% CI: 1.08-4.11, p=0.027) and residing in Grand Bassa County (aOR=0.3, 95% CI: 0.13-0.73, p=0.007) were associated with LF mortality. Conclusion: Lassa fever was endemic in three of the fifteen counties of Liberia, case fatality rate remained generally high and widely varied. The high fatality of LF has been reported to the NPHIL and is currently being further investigated. There is a need to continuously train healthcare workers, especially in non-endemic counties to improve the LF treatment outcome.

Indexed as

Lassa FeverAdolescentAdultChildFemaleHealth PersonnelHumansLiberiaMalePublic HealthSecondary Data AnalysisYoung AdultCase fatalityconfirmed caseendemicLassa feverpositivity ratetrend

Identifiers

PMID38558556
PMCPMC10979808

What OpenQuestion holds

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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.