The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan

We assess the effects of ambient temperature and mobility patterns on the transmissibility of COVID-19 during the epidemiological years of the pandemic in Japan. The prefecture-specific daily time-series of confirmed coronavirus disease 2019 (COVID-19) cases, meteorological variables, levels of reta...

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Main Authors: Keita Wagatsuma, Iain S. Koolhof, Reiko Saito
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Viruses
Subjects:
Online Access:https://www.mdpi.com/1999-4915/14/10/2232
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author Keita Wagatsuma
Iain S. Koolhof
Reiko Saito
author_facet Keita Wagatsuma
Iain S. Koolhof
Reiko Saito
author_sort Keita Wagatsuma
collection DOAJ
description We assess the effects of ambient temperature and mobility patterns on the transmissibility of COVID-19 during the epidemiological years of the pandemic in Japan. The prefecture-specific daily time-series of confirmed coronavirus disease 2019 (COVID-19) cases, meteorological variables, levels of retail and recreation mobility (e.g., activities, going to restaurants, cafes, and shopping centers), and the number of vaccinations were collected for six prefectures in Japan from 1 May 2020 to 31 March 2022. We combined standard time-series generalized additive models (GAMs) with a distributed lag non-linear model (DLNM) to determine the exposure–lag–response association between the time-varying effective reproductive number (<i>R<sub>t</sub></i>), ambient temperature, and retail and recreation mobility, while controlling for a wide range of potential confounders. Utilizing a statistical model, the first distribution of the mean ambient temperature (i.e., −4.9 °C) was associated with an 11.6% (95% confidence interval [CI]: 5.9–17.7%) increase in <i>R<sub>t</sub></i> compared to the optimum ambient temperature (i.e., 18.5 °C). A retail and recreation mobility of 10.0% (99th percentile) was associated with a 19.6% (95% CI: 12.6–27.1%) increase in <i>R<sub>t</sub></i> over the optimal level (i.e., −16.0%). Our findings provide a better understanding of how ambient temperature and mobility patterns shape severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. These findings provide valuable epidemiological insights for public health policies in controlling disease transmission.
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spelling doaj.art-2f13f3659c5d4843932adc3bf07a645c2023-11-24T03:09:50ZengMDPI AGViruses1999-49152022-10-011410223210.3390/v14102232The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in JapanKeita Wagatsuma0Iain S. Koolhof1Reiko Saito2Division of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, JapanDivision of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, JapanDivision of International Health (Public Health), Graduate School of Medical and Dental Sciences, Niigata University, Niigata 951-8510, JapanWe assess the effects of ambient temperature and mobility patterns on the transmissibility of COVID-19 during the epidemiological years of the pandemic in Japan. The prefecture-specific daily time-series of confirmed coronavirus disease 2019 (COVID-19) cases, meteorological variables, levels of retail and recreation mobility (e.g., activities, going to restaurants, cafes, and shopping centers), and the number of vaccinations were collected for six prefectures in Japan from 1 May 2020 to 31 March 2022. We combined standard time-series generalized additive models (GAMs) with a distributed lag non-linear model (DLNM) to determine the exposure–lag–response association between the time-varying effective reproductive number (<i>R<sub>t</sub></i>), ambient temperature, and retail and recreation mobility, while controlling for a wide range of potential confounders. Utilizing a statistical model, the first distribution of the mean ambient temperature (i.e., −4.9 °C) was associated with an 11.6% (95% confidence interval [CI]: 5.9–17.7%) increase in <i>R<sub>t</sub></i> compared to the optimum ambient temperature (i.e., 18.5 °C). A retail and recreation mobility of 10.0% (99th percentile) was associated with a 19.6% (95% CI: 12.6–27.1%) increase in <i>R<sub>t</sub></i> over the optimal level (i.e., −16.0%). Our findings provide a better understanding of how ambient temperature and mobility patterns shape severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission. These findings provide valuable epidemiological insights for public health policies in controlling disease transmission.https://www.mdpi.com/1999-4915/14/10/2232SARS-CoV-2transmissibilityambient temperaturemobility patternsepidemics
spellingShingle Keita Wagatsuma
Iain S. Koolhof
Reiko Saito
The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
Viruses
SARS-CoV-2
transmissibility
ambient temperature
mobility patterns
epidemics
title The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
title_full The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
title_fullStr The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
title_full_unstemmed The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
title_short The Relative Roles of Ambient Temperature and Mobility Patterns in Shaping the Transmission Heterogeneity of SARS-CoV-2 in Japan
title_sort relative roles of ambient temperature and mobility patterns in shaping the transmission heterogeneity of sars cov 2 in japan
topic SARS-CoV-2
transmissibility
ambient temperature
mobility patterns
epidemics
url https://www.mdpi.com/1999-4915/14/10/2232
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