Incidence and length of outbreak period of COVID-19 and population density in comparison with seasonal influenza in Japan.

COVID-19 cluster-based approach population density seasonal influenza

Journal

IJID regions
ISSN: 2772-7076
Titre abrégé: IJID Reg
Pays: England
ID NLM: 9918418183106676

Informations de publication

Date de publication:
Mar 2022
Historique:
received: 21 10 2021
revised: 03 01 2022
accepted: 04 01 2022
entrez: 20 6 2022
pubmed: 21 6 2022
medline: 21 6 2022
Statut: ppublish

Résumé

There is no consensus regarding the impact of population density on the transmission of respiratory viral infections such as COVID-19 and seasonal influenza. Our study aimed to determine the correlation between population density and the incidence and duration of COVID-19 transmission. Publicly available data for confirmed COVID-19 cases in Japan, from January 2020 through November 2021, were retrospectively collected. The average numbers of seasonal influenza cases reported in the national database from 2013-2014 through 2019-2020 were identified. Using data for COVID-19 and seasonal influenza population density and incidence rates (age-adjusted), the Pearson's correlation coefficient was determined. A significant positive correlation between log population density and length of outbreak period was observed for COVID-19 ( In Japan, areas with high population density experienced a prolonged and more intense COVID-19 outbreak compared with areas with low population density. This was not observed with seasonal influenza, suggesting that public health measures against COVID-19 should be tailored according to population density.

Identifiants

pubmed: 35721437
doi: 10.1016/j.ijregi.2022.01.003
pii: S2772-7076(22)00008-X
pmc: PMC8754907
doi:

Types de publication

Journal Article

Langues

eng

Pagination

154-157

Informations de copyright

© 2022 The Author(s).

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Auteurs

Hiroki Akaba (H)

Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Kazuaki Jindai (K)

Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Yugo Shobugawa (Y)

Department of Active Aging, Niigata University Graduate School of Medical and Dental Science, Niigata, Japan.

Hitoshi Oshitani (H)

Department of Virology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Classifications MeSH