BibTex format
@article{Doohan:2024:10.1016/S2214-109X(24)00379-6,
author = {Doohan, P and Jorgensen, D and Naidoo, T and McCain, K and Hicks, J and McCabe, R and Bhatia, S and Charniga, K and Cuomo-Dannenburg, G and Hamlet, A and Nash, R and Nikitin, D and Rawson, T and Sheppard, R and Unwin, H and van, Elsland S and Cori, A and Morgenstern, C and Imai, N},
doi = {10.1016/S2214-109X(24)00379-6},
journal = {The Lancet Global Health},
pages = {e1962--e1972},
title = {Lassa fever outbreaks, mathematical models, and disease parameters: a systematic review and meta-analysis},
url = {http://dx.doi.org/10.1016/S2214-109X(24)00379-6},
volume = {12},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - BackgroundUnderstanding the epidemiological parameters and transmission dynamics of Lassa fever, a significant public health threat in west Africa caused by the rodent-borne Lassa virus, is crucial for informing evidence-based interventions and outbreak response strategies. Therefore, our study aimed to collate and enhance understanding of the key epidemiological parameters of Lassa fever.MethodsWe conducted a systematic review, searching PubMed and Web of Science for peer-reviewed studies published from database inception up to June 13, 2024, to compile and analyse key epidemiological parameters, mathematical models, and outbreaks of Lassa fever. English-language, peer-reviewed, original research articles were included if they reported on Lassa fever outbreak sizes, transmission models, viral evolution, transmission, natural history, severity, seroprevalence, or risk factors. Non-peer-reviewed literature was excluded. Data were extracted by two independent individuals from published literature, focusing on seroprevalence, transmissibility, epidemiological delays, and disease severity. We performed a meta-analysis to calculate pooled estimates of case-fatality ratios (CFRs) and the delay from symptom onset to hospital admission. This study is registered with PROSPERO (identifier number CRD42023393345).FindingsThe database search returned 5614 potentially relevant studies, and a further 16 studies were identified from backward citation chaining. After de-duplication and exclusion, 193 publications met our inclusion criteria and provided 440 relevant parameter estimates in total. Although Lassa virus is endemic in west Africa, the spatiotemporal coverage of general-population seroprevalence estimates (ranging from 2·6% [6/232] to 58·2% [103/177]) was poor, highlighting the spatial uncertainty in Lassa fever risk. Similarly, only four basic reproduction number estimates (ranging from 1·13 to 1·40) were available. We estimated a pooled total
AU - Doohan,P
AU - Jorgensen,D
AU - Naidoo,T
AU - McCain,K
AU - Hicks,J
AU - McCabe,R
AU - Bhatia,S
AU - Charniga,K
AU - Cuomo-Dannenburg,G
AU - Hamlet,A
AU - Nash,R
AU - Nikitin,D
AU - Rawson,T
AU - Sheppard,R
AU - Unwin,H
AU - van,Elsland S
AU - Cori,A
AU - Morgenstern,C
AU - Imai,N
DO - 10.1016/S2214-109X(24)00379-6
EP - 1972
PY - 2024///
SN - 2214-109X
SP - 1962
TI - Lassa fever outbreaks, mathematical models, and disease parameters: a systematic review and meta-analysis
T2 - The Lancet Global Health
UR - http://dx.doi.org/10.1016/S2214-109X(24)00379-6
UR - https://www.sciencedirect.com/science/article/pii/S2214109X24003796
UR - http://hdl.handle.net/10044/1/114305
VL - 12
ER -