Dataset Information

Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach.

ABSTRACT: The international spread of COVID-19 infection has attracted global attention, but the impact of local or domestic travel restriction on public transportation network remains unclear. Passenger volume data for the domestic public transportation network in Japan and the time at which the first confirmed COVID-19 case was observed in each prefecture were extracted from public data sources. A survival approach in which a hazard was modeled as a function of the closeness centrality on the network was utilized to estimate the risk of importation of COVID-19 in each prefecture. A total of 46 prefectures with imported cases were identified. Hypothetical scenario analyses indicated that both strategies of locking down the metropolitan areas and restricting domestic airline travel would be equally effective in reducing the risk of importation of COVID-19. While caution is necessary that the data were limited to June 2020 when the pandemic was in its initial stage and that no other virus spreading routes have been considered, domestic travel restrictions were effective to prevent the spread of COVID-19 on public transportation network in Japan. Instead of lockdown that might seriously damage the economy, milder travel restrictions could have the similar impact on controlling the domestic transmission of COVID-19.

SUBMITTER: Murano Y

PROVIDER: S-EPMC7862278 | biostudies-literature | 2021 Feb

REPOSITORIES: biostudies-literature

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Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach.

Murano Yayoi Y Ueno Ryo R Shi Shoi S Kawashima Takayuki T Tanoue Yuta Y Tanaka Shiori S Nomura Shuhei S Shoji Hiromichi H Shimizu Toshiaki T Nguyen Huy H Miyata Hiroaki H Gilmour Stuart S Yoneoka Daisuke D

Scientific reports 20210204 1

The international spread of COVID-19 infection has attracted global attention, but the impact of local or domestic travel restriction on public transportation network remains unclear. Passenger volume data for the domestic public transportation network in Japan and the time at which the first confirmed COVID-19 case was observed in each prefecture were extracted from public data sources. A survival approach in which a hazard was modeled as a function of the closeness centrality on the network wa ...[more]

PMID: 33542248

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Project description:ObjectivesTo characterize the impact of public health interventions on the volume and characteristics of admissions to the PICU.DesignMulticenter retrospective cohort study.SettingSix U.S. referral PICUs during February 15, 2020-May 14, 2020, compared with the same months during 2017-2019 (baseline).PatientsPICU admissions excluding admissions for illnesses due to severe acute respiratory syndrome coronavirus 2 and readmissions during the same hospitalization.InterventionsNone.Measurements and main resultsPrimary outcome was admission volumes during the period of stay-at-home orders (March 15, 2020-May 14, 2020) compared with baseline. Secondary outcomes were hospitalization characteristics including advanced support (e.g., invasive mechanical ventilation), PICU and hospital lengths of stay, and mortality. We used generalized linear mixed modeling to compare patient and admission characteristics during the stay-at-home orders period to baseline. We evaluated 7,960 admissions including 1,327 during March 15, 2020-May 14, 2020. Daily admissions and patients days were lower during the period of stay-at-home orders compared with baseline: median admissions 21 (interquartile range, 17-25) versus 36 (interquartile range, 30-42) (p < 0.001) and median patient days 93.0 (interquartile range, 55.9-136.7) versus 143.6 (interquartile range, 108.5-189.2) (p < 0.001). Admissions during the period of stay-at-home orders were less common in young children and for respiratory and infectious illnesses and more common for poisonings, endocrinopathies and for children with race/ethnicity categorized as other/unspecified. There were no differences in hospitalization characteristics except fewer patients received noninvasive ventilation during the period of stay-at-home orders.ConclusionsReductions in PICU admissions suggest that much of pediatric critical illness in younger children and for respiratory and infectious illnesses may be preventable through targeted public health strategies.

Dataset Information

Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach.

Publications

Impact of domestic travel restrictions on transmission of COVID-19 infection using public transportation network approach.

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