Cargando…
Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018()
I use extreme values theory and data on influenza mortality from the U.S. for 1900 to 2018 to estimate the tail risks of mortality. I find that the distribution for influenza mortality rates is heavy-tailed, which suggests that the tails of the mortality distribution are more informative than the ev...
Autor principal: | |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477200/ https://www.ncbi.nlm.nih.gov/pubmed/34632167 http://dx.doi.org/10.1016/j.idm.2021.09.001 |
_version_ | 1784575796551090176 |
---|---|
author | Campolieti, Michele |
author_facet | Campolieti, Michele |
author_sort | Campolieti, Michele |
collection | PubMed |
description | I use extreme values theory and data on influenza mortality from the U.S. for 1900 to 2018 to estimate the tail risks of mortality. I find that the distribution for influenza mortality rates is heavy-tailed, which suggests that the tails of the mortality distribution are more informative than the events of high frequency (i.e., years of low mortality). I also discuss the implications of my estimates for risk management and pandemic planning. |
format | Online Article Text |
id | pubmed-8477200 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-84772002021-10-08 Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() Campolieti, Michele Infect Dis Model Original Research Article I use extreme values theory and data on influenza mortality from the U.S. for 1900 to 2018 to estimate the tail risks of mortality. I find that the distribution for influenza mortality rates is heavy-tailed, which suggests that the tails of the mortality distribution are more informative than the events of high frequency (i.e., years of low mortality). I also discuss the implications of my estimates for risk management and pandemic planning. KeAi Publishing 2021-09-20 /pmc/articles/PMC8477200/ /pubmed/34632167 http://dx.doi.org/10.1016/j.idm.2021.09.001 Text en © 2021 The Author https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original Research Article Campolieti, Michele Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() |
title | Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() |
title_full | Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() |
title_fullStr | Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() |
title_full_unstemmed | Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() |
title_short | Tail risks and infectious disease: Influenza mortality in the U.S., 1900–2018() |
title_sort | tail risks and infectious disease: influenza mortality in the u.s., 1900–2018() |
topic | Original Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8477200/ https://www.ncbi.nlm.nih.gov/pubmed/34632167 http://dx.doi.org/10.1016/j.idm.2021.09.001 |
work_keys_str_mv | AT campolietimichele tailrisksandinfectiousdiseaseinfluenzamortalityintheus19002018 |