ArticleHeliyon2022
Risk communication sources and knowledge of Lassa fever in Nigeria: An impact analysis.
Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed, 14 citations in OpenAlex.
- Epidemiological analysis of Lassa fever control using novel mathematical modeling and a dual-dosage vaccination approach.BMC research notes · 2025Article
- The resurgence of Lassa fever in Nigeria: economic impact, challenges, and strategic public health interventions.Frontiers in public health · 2025Article
- LASSA FEVER IN INTERNALLY-DISPLACED PERSONS' CAMP: A CASE REPORT AT ZABARMARI, BORNO STATE, NIGERIA.Annals of Ibadan postgraduate medicine · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study examined the predominant risk communication sources for Lassa fever, and explored the correlation between risk communication sources and knowledge of Lassa fever in the most endemic states (Ebonyi, Edo and Ondo) of the disease outbreak in Nigeria, through a mixed-methods approach. Using the multi-stage sampling technique, 72 Focus Group Discussants and 653 survey respondents were selected for the study. Statistical analysis was conducted on the acquired quantitative data, whereas thematic analysis was employed for qualitative analysis. The results suggest that radio, posters and healthcare workers are predominant sources of information about Lassa fever in the endemic states. The majority of the respondents possess adequate knowledge of the Lassa fever vector, transmission routes, risk factors, and preventive measures, but knowledge of asymptomatic patients was generally poor across the selected states. The regression analysis indicates that radio and healthcare workers are the strongest predictor of the knowledge of Lassa fever at (
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.