In this section
@article{Naidoo:2026,
author = {Naidoo, T and Morgenstern, C and Doohan, P and Earl, R and Rawson, T and Sheppard, R and Hicks, J and Radhakrishnan, S and Johnson, R and Hartner, A-M and Cattarino, L and McCain, K and Vicco, A and Imai-Eaton, N and van, Elsland S and Cori, A and McCabe, R and Bhatia, S},
journal = {The Lancet Infectious Diseases},
title = {A systematic review of Nipah virus disease epidemiological parameters, outbreaks and mathematical models},
year = {2026}
}
TY - JOUR
AB - We conducted a systematic review, following PRISMA guidelines (PROSPERO CRD42023393345), characterising the epidemiology, outbreaks and mathematical models of Nipah virus (NiV), an important public health threat in South and Southeast Asia. We searched PubMed and Web of Science from database inception through to 14 March 2025, and extracted 243 parameters, 89 risk factors, 39 models and 23 distinct outbreaks from 119 papers. IgG seroprevalence estimates in the general population ranged from 0% to 12.5%. NiV causes severe disease, with pooled case-fatality ratio estimates ranging widely from 9.1% (95%CI: 0.2%-41.3%) in Singapore to 81.9% (95%CI: 71.9%-88.9%) in Bangladesh. NiV's infection timeline and clinical course remain poorly characterised; we estimated a median incubation period of 8.77 days (n=165, 95%CI: 7.53-10.02) from 8 estimates in 7 articles with sufficient information. Transmission parameter estimates were scarce, and all but one of five central estimates of the basic reproduction number were below 1. NiV mathematical models (n=39) were rarely fitted to data (n=8). All extracted information is accessible via our R package, epireview.
AU - Naidoo,T
AU - Morgenstern,C
AU - Doohan,P
AU - Earl,R
AU - Rawson,T
AU - Sheppard,R
AU - Hicks,J
AU - Radhakrishnan,S
AU - Johnson,R
AU - Hartner,A-M
AU - Cattarino,L
AU - McCain,K
AU - Vicco,A
AU - Imai-Eaton,N
AU - van,Elsland S
AU - Cori,A
AU - McCabe,R
AU - Bhatia,S
PY - 2026///
SN - 1473-3099
TI - A systematic review of Nipah virus disease epidemiological parameters, outbreaks and mathematical models
T2 - The Lancet Infectious Diseases
ER -
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