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An extended period of elevated influenza mortality risk follows the main waves of influenza pandemics

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An extended period of elevated influenza mortality risk follows the main waves of influenza pandemics. / Schroeder, Max; Lazarakis, Spyridon; Mancy, Rebecca et al.
In: Social Science and Medicine, Vol. 328, 115975, 31.07.2023.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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Schroeder M, Lazarakis S, Mancy R, Angelopoulos K. An extended period of elevated influenza mortality risk follows the main waves of influenza pandemics. Social Science and Medicine. 2023 Jul 31;328:115975. Epub 2023 Jun 8. doi: 10.1016/j.socscimed.2023.115975

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Schroeder, Max ; Lazarakis, Spyridon ; Mancy, Rebecca et al. / An extended period of elevated influenza mortality risk follows the main waves of influenza pandemics. In: Social Science and Medicine. 2023 ; Vol. 328.

Bibtex

@article{1c0e0248c145455c9391989d51b05863,
title = "An extended period of elevated influenza mortality risk follows the main waves of influenza pandemics",
abstract = "Understanding the extent and evolution of pandemic-induced mortality risk is critical given its wide-ranging impacts on population health and socioeconomic outcomes. We examine empirically the persistence and scale of influenza mortality risk following the main waves of influenza pandemics, a quantitative analysis of which is required to understand the true scale of pandemic-induced risk. We provide evidence from municipal public health records that multiple recurrent outbreaks followed the main waves of the 1918-19 pandemic in eight large cities in the UK, a pattern we confirm using data for the same period in the US and data for multiple influenza pandemics during the period 1838–2000 in England and Wales. To estimate the persistence and scale of latent post-pandemic influenza mortality risk, we model the stochastic process of mortality rates as a sequence of bounded Pareto distributions whose tail indexes evolves over time. Consistently across pandemics and locations, we find that influenza mortality risk remains elevated for around two decades after the main pandemic waves before more rapid convergence to background influenza mortality, amplifying the impact of pandemics. Despite the commonality in duration, there is heterogeneity in the persistence and scale of risk across the cities, suggesting effects of both immunity and socioeconomic conditions.",
keywords = "Influenza pandemics, Post-pandemic period, Mortality risk dynamics",
author = "Max Schroeder and Spyridon Lazarakis and Rebecca Mancy and Konstantinos Angelopoulos",
year = "2023",
month = jul,
day = "31",
doi = "10.1016/j.socscimed.2023.115975",
language = "English",
volume = "328",
journal = "Social Science and Medicine",
issn = "0277-9536",
publisher = "Elsevier Limited",

}

RIS

TY - JOUR

T1 - An extended period of elevated influenza mortality risk follows the main waves of influenza pandemics

AU - Schroeder, Max

AU - Lazarakis, Spyridon

AU - Mancy, Rebecca

AU - Angelopoulos, Konstantinos

PY - 2023/7/31

Y1 - 2023/7/31

N2 - Understanding the extent and evolution of pandemic-induced mortality risk is critical given its wide-ranging impacts on population health and socioeconomic outcomes. We examine empirically the persistence and scale of influenza mortality risk following the main waves of influenza pandemics, a quantitative analysis of which is required to understand the true scale of pandemic-induced risk. We provide evidence from municipal public health records that multiple recurrent outbreaks followed the main waves of the 1918-19 pandemic in eight large cities in the UK, a pattern we confirm using data for the same period in the US and data for multiple influenza pandemics during the period 1838–2000 in England and Wales. To estimate the persistence and scale of latent post-pandemic influenza mortality risk, we model the stochastic process of mortality rates as a sequence of bounded Pareto distributions whose tail indexes evolves over time. Consistently across pandemics and locations, we find that influenza mortality risk remains elevated for around two decades after the main pandemic waves before more rapid convergence to background influenza mortality, amplifying the impact of pandemics. Despite the commonality in duration, there is heterogeneity in the persistence and scale of risk across the cities, suggesting effects of both immunity and socioeconomic conditions.

AB - Understanding the extent and evolution of pandemic-induced mortality risk is critical given its wide-ranging impacts on population health and socioeconomic outcomes. We examine empirically the persistence and scale of influenza mortality risk following the main waves of influenza pandemics, a quantitative analysis of which is required to understand the true scale of pandemic-induced risk. We provide evidence from municipal public health records that multiple recurrent outbreaks followed the main waves of the 1918-19 pandemic in eight large cities in the UK, a pattern we confirm using data for the same period in the US and data for multiple influenza pandemics during the period 1838–2000 in England and Wales. To estimate the persistence and scale of latent post-pandemic influenza mortality risk, we model the stochastic process of mortality rates as a sequence of bounded Pareto distributions whose tail indexes evolves over time. Consistently across pandemics and locations, we find that influenza mortality risk remains elevated for around two decades after the main pandemic waves before more rapid convergence to background influenza mortality, amplifying the impact of pandemics. Despite the commonality in duration, there is heterogeneity in the persistence and scale of risk across the cities, suggesting effects of both immunity and socioeconomic conditions.

KW - Influenza pandemics

KW - Post-pandemic period

KW - Mortality risk dynamics

U2 - 10.1016/j.socscimed.2023.115975

DO - 10.1016/j.socscimed.2023.115975

M3 - Journal article

VL - 328

JO - Social Science and Medicine

JF - Social Science and Medicine

SN - 0277-9536

M1 - 115975

ER -