Epidemiological analysis of Lassa fever control using novel mathematical modeling and a dual-dosage vaccination approach

Lassa fever is a serious health issue in West Africa that requires deeper understanding in order to be effectively controlled. Compared to conventional integer-order methods, this study presents an improved analysis of disease dynamics, including vaccine efficacy, by utilizing fractional-order models and the Laplace Adomian Decomposition methods. This research highlights the critical role of fractional-order dynamics and vaccination impact in understanding Lassa fever transmission and evaluating control strategies. It employs stability and sensitivity analyses, as well as the next-generation matrix method, to assess the basic reproduction number. The study offers novel insights into the importance of expanded vaccination coverage, setting it apart from previous works. The study demonstrated that preventive strategies, particularly double-dose vaccinations, are extremely efficient in controlling Lassa fever and lowering infection rates. It emphasizes the significance of increasing vaccination efforts to safeguard groups that are susceptible. The findings offer important epidemiological insights, boosting efforts to eradicate the disease and improve public health in West Africa and beyond.

Authors

Institutions

Publication Details

Journal
BMC Research Notes
Published
2025-04-30
DOI
https://doi.org/10.1186/s13104-025-07218-y
Citations
23
Primary Topic
Viral Infections and Outbreaks Research
Type
article
Field-Weighted Citation Impact
32.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiological analysis of Lassa fever control using novel mathematical modeling and a dual-dosage vaccination approach

Akeem Olarewaju Yunus, Morufu Oyedunsi Olayiwola
23 citations
BMC Research Notes
Viral Infections and Outbreaks Research
32.11
article

Epidemiological analysis of Lassa fever control using novel mathematical modeling and a dual-dosage vaccination approach

Akeem Olarewaju Yunus, Morufu Oyedunsi Olayiwola
article en
23 citations

Abstract

Lassa fever is a serious health issue in West Africa that requires deeper understanding in order to be effectively controlled. Compared to conventional integer-order methods, this study presents an improved analysis of disease dynamics, including vaccine efficacy, by utilizing fractional-order models and the Laplace Adomian Decomposition methods. This research highlights the critical role of fractional-order dynamics and vaccination impact in understanding Lassa fever transmission and evaluating control strategies. It employs stability and sensitivity analyses, as well as the next-generation matrix method, to assess the basic reproduction number. The study offers novel insights into the importance of expanded vaccination coverage, setting it apart from previous works. The study demonstrated that preventive strategies, particularly double-dose vaccinations, are extremely efficient in controlling Lassa fever and lowering infection rates. It emphasizes the significance of increasing vaccination efforts to safeguard groups that are susceptible. The findings offer important epidemiological insights, boosting efforts to eradicate the disease and improve public health in West Africa and beyond.

BMC Research NotesVol. 18(1)
Osun State University (NG)
Good health and well-being
Openalex Percentile: Top 0%
Viral Infections and Outbreaks Research
32.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.