BibTex format
@article{Morgenstern:2025,
author = {Morgenstern, C and Rawson, T and Routledge, I and Kont, M and Imai-Eaton, N and Skarp, J and Doohan, P and McCain, K and Johnson, R and Unwin, HJT and Naidoo, T and Dee, D and Parchani, K and Cracknell, Daniels B and Vicco, A and Drake, K and Christen, P and Sheppard, R and Leuba, SI and Hicks, J and McCabe, R and Nash, R and Santoni, C and Cuomo-Dannenburg, G and van, Elsland S and Bhatia, S and Cori, A},
journal = {The Lancet Microbe},
title = {Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review},
year = {2025}
}
RIS format (EndNote, RefMan)
TY - JOUR
AB - We conducted a systematic review (PROSPERO CRD42023393345) of severe acute respiratory syndrome (SARS) transmission models and parameters characterising its transmission, evolution, natural history, severity, risk factors and seroprevalence. Information was extracted using a custom database and quality assessment tool. We extracted 519 parameters, 243 risk factors, and 112 models from 289 papers. Our analyses show SARS is characterised by high lethality (case fatality ratio 10.9%), transmissibility (R0 range 1.1-4.59), and is prone to superspreading (20% top infectors causing up to 91% of infections). Infection risk was highest among healthcare workers and close contacts of infected individuals. Severe disease and death were associated with age and existing comorbidities. SARS's natural history is poorly characterised, except for the incubation period and mean onset-to-hospitalisation. Our associated R package, epireview, contains this database, which can continue to be updated to maintain a living review of SARS epidemiology and models, thus providing a key resource for informing response to future coronavirus outbreaks.
AU - Morgenstern,C
AU - Rawson,T
AU - Routledge,I
AU - Kont,M
AU - Imai-Eaton,N
AU - Skarp,J
AU - Doohan,P
AU - McCain,K
AU - Johnson,R
AU - Unwin,HJT
AU - Naidoo,T
AU - Dee,D
AU - Parchani,K
AU - Cracknell,Daniels B
AU - Vicco,A
AU - Drake,K
AU - Christen,P
AU - Sheppard,R
AU - Leuba,SI
AU - Hicks,J
AU - McCabe,R
AU - Nash,R
AU - Santoni,C
AU - Cuomo-Dannenburg,G
AU - van,Elsland S
AU - Bhatia,S
AU - Cori,A
PY - 2025///
SN - 2666-5247
TI - Severe acute respiratory syndrome (SARS) mathematical models and disease parameters: a systematic review
T2 - The Lancet Microbe
ER -