TY - JOUR
T1 - The 1978 English boarding school influenza outbreak
T2 - where the classic SEIR model fails
AU - Avilov, Konstantin K.
AU - Li, Qiong
AU - Lin, Lixin
AU - Demirhan, Haydar
AU - Stone, Lewi
AU - He, Daihai
N1 - Publisher Copyright:
© 2024 The Author(s). Published by the Royal Society. All rights reserved.
PY - 2024/11/20
Y1 - 2024/11/20
N2 - Previous work has failed to fit classic SEIR epidemic models satisfactorily to the prevalence data of the famous English boarding school 1978 influenza A/H1N1 outbreak during the children’s pandemic. It is still an open question whether a biologically plausible model can fit the prevalence time series and the attack rate correctly. To construct the final model, we first used an intentionally very flexible and overfitted discrete-time epidemiologic model to learn the epidemiological features from the data. The final model was a susceptible (S) – exposed (E) – infectious (I) – confined-to-bed (B) – convalescent (C) – recovered (R) model with time delay (constant residence time) in E and I compartments and multistage (Erlang-distributed residence time) in B and C compartments. We simultaneously fitted the reported B and C prevalence curves as well as the attack rate (proportion of children infected during the outbreak). The non-exponential residence times were crucial for good fits. The estimates of the generation time and the basic reproductive number (R0) were biologically reasonable. A simplified discrete-time model was built and fitted using the Bayesian procedure. Our work not only provided an answer to the open question, but also demonstrated an approach to constructive model generation.
AB - Previous work has failed to fit classic SEIR epidemic models satisfactorily to the prevalence data of the famous English boarding school 1978 influenza A/H1N1 outbreak during the children’s pandemic. It is still an open question whether a biologically plausible model can fit the prevalence time series and the attack rate correctly. To construct the final model, we first used an intentionally very flexible and overfitted discrete-time epidemiologic model to learn the epidemiological features from the data. The final model was a susceptible (S) – exposed (E) – infectious (I) – confined-to-bed (B) – convalescent (C) – recovered (R) model with time delay (constant residence time) in E and I compartments and multistage (Erlang-distributed residence time) in B and C compartments. We simultaneously fitted the reported B and C prevalence curves as well as the attack rate (proportion of children infected during the outbreak). The non-exponential residence times were crucial for good fits. The estimates of the generation time and the basic reproductive number (R0) were biologically reasonable. A simplified discrete-time model was built and fitted using the Bayesian procedure. Our work not only provided an answer to the open question, but also demonstrated an approach to constructive model generation.
KW - Bayesian epidemic model
KW - children’s pandemic
KW - delay differential equations
KW - influenza progression model
KW - modelling
KW - residence time
UR - http://www.scopus.com/inward/record.url?scp=85210111647&partnerID=8YFLogxK
U2 - 10.1098/rsif.2024.0394
DO - 10.1098/rsif.2024.0394
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C2 - 39563495
AN - SCOPUS:85210111647
SN - 1742-5689
VL - 21
JO - Journal of the Royal Society Interface
JF - Journal of the Royal Society Interface
IS - 220
M1 - 20240394
ER -