Do the determinants of COVID-19 transmission differ by epidemic wave? Evidence from U.S. counties

Ha, Jaehyun; Lee, Sugie

doi:10.1016/j.cities.2022.103892

Cited by 7 publications

(5 citation statements)

References 58 publications

(99 reference statements)

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“…As a consequence, a low mortality rate and minimal economic disruption were achieved, resulting in a credible and applicable "Chinese solution to harmonize the prevention and control of the pandemic with socioeconomic development". In addition, the research results also illustrated that despite the phased success of the prevention and control of the pandemic, the study shared some of the same results focusing on spatial heterogeneity [7,56,57]. The study revealed that the susceptibility of different cities to the pandemic differed substantially, while there also existed differences in the results exhibited by cities at various network scales and types of mobility networks.…”

Section: Complexity Of the Relationship Between The Development Of Pa...supporting

confidence: 59%

“…The results of numerous analyses of the externality of the development of the pandemic and exploration of the impact mechanisms demonstrate that the outbreak of the COVID-19 pandemic has brought about a tremendous impact on the development of cities and people's lives throughout the world while underlining the intimate and complicated relationship between population flows, urban contact and the pandemic [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

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A Study of the Impact of COVID-19 on Urban Contact Networks in China Based on Population Flows

Zhang

Zhao

Liu

et al. 2023

IJGI

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The emergence and enduring diffusion of COVID-19 has had a dramatic impact on cities worldwide. The scientific aim of this study was to introduce geospatial thinking to research related to infectious diseases, while the practical aim was to explore the impact on population movements and urban linkages in the longer term following a pandemic outbreak. Therefore, this study took 366 cities in China as the research subjects while exploring the relationship between urban contact and the outbreak of the pandemic from both national and regional perspectives using social network analysis (SNA), Pearson correlation analysis and multi-scale geographically weighted regression (MGWR) modeling. The results revealed that the number of COVID-19 infections in China fluctuated with strain variation over the study period; the urban contact network exhibited a significant trend of recovery. The pandemic had a hindering effect on national urban contact, and this effect weakened progressively. Meanwhile, the effect exhibited significant spatial heterogeneity, with a weakening effect in the eastern region ≈ northeast region > central region > western region, indicating a decreasing phenomenon from coastal to inland areas. Moreover, the four major economic regions in China featured border barrier effects, whereby urban contact networks constituted by cross-regional flows were more sensitive to the development of the pandemic. The geostatistical approach adopted in this study related to infectious disease and urban linkages can be used in other regions, and its findings provide a reference for China and other countries around the world to respond to major public health events.

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Section: Complexity Of the Relationship Between The Development Of Pa...supporting

confidence: 59%

Section: Introductionmentioning

confidence: 99%

A Study of the Impact of COVID-19 on Urban Contact Networks in China Based on Population Flows

Zhang

Zhao

Liu

et al. 2023

IJGI

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“…From the end of 2019, the COVID-19 pandemic had significantly impacted all facets of human activity and socioeconomic operations. This caused a widespread concern from various fields across various nations or regions [1][2][3][4]. A multitude of studies had illustrated that population structure, factors mobility, regional connectivity network [5,6], urban hierarchy [7], economic resilience and robustness [8,9], digitalization level and development [10,11], as well as the built environment [12,13], all of them were closely related to and interact with the spread of the COVID-19 pandemic.…”

Section: Introductionmentioning

confidence: 99%

Study on the temporal and spatial relationship between public health events and the development of air transport scale: A case of the Southwest China

Li,

Deng,

Mao

et al. 2024

PLoS ONE

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The spread of the COVID-19 had profoundly affected the development of the air transportation. In order to determine the changes in air transportation volume associated with the development of the epidemic, this paper takes Southwest China as the study area. Monthly data and methods, such as the coefficient of variation, rank-size analysis and spatial matching index, were applied. The results found that: (1) during 2020–2022, there was a positive relationship between passenger volume and epidemic development, while freight volume increased for most airports in the first quarter of 2020–2022, particularly in the eastern region; (2) From the perspective of changes in air transportation volume under the development of the COVID-19, among various types of airports, the changes in transportation volume of main trunk airports were more significant than those of regional feeder airports in remote areas; (3) however, under the influence of the epidemic, main trunk airports still exhibited stronger attraction in passenger volume. That is to say, the passengers who chose to travel by air still tended to choose the main trunk airports and formed the agglomeration distribution pattern which around high-level airports in the provincial capital. Whereas the freight volume had a tendency of equalization among airports in Southwest China; (4) Over the course of time, the consistency of the spatial distribution of the number of cases and the passenger or freight volume in southwest China gradually increased. Among them, the spatial matching rate of the passenger volume and the number of COVID-19 cases was always higher than that of the cases and freight volume, which might indicate that there was a stronger correlation relationship. Therefore, it is proposed that the construction of multi-center airport system should be strengthened, the resilience of the route network for passenger transportation should be moderately enhanced, and the risk-resistant capacity of mainline airports and airports in tourist cities should be upgraded, so as to provide references for the orderly recovery of civil aviation and regional development.

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“…Our results are in line with previous findings that showed an association between the possibility to work from home and SARS-CoV-2 infection risk. The majority of these studies showed that those who were not able to work remotely had a higher risk of infection during the pandemic (15)(16)(17)(18)(40)(41)(42)(43)(44)(45)(46). In contrast, one study among employees of a big Swiss company found that those who worked from home most of the time during the year 2020 had higher odds for a SARS-CoV-2 infection in comparison to colleagues who only sometimes or never worked from home (21).…”

Section: Discussionmentioning

confidence: 99%

Education and pandemic SARS-CoV-2 infections in the German working population – the mediating role of working from home

Wachtler,

Beese,

Demirer

et al. 2024

Scand J Work Environ Health

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OBJECTIVES: SARS-CoV-2 infections were unequally distributed during the pandemic, with those in disadvantaged socioeconomic positions being at higher risk. Little is known about the underlying mechanism of this association. This study assessed to what extent educational differences in SARS-CoV-2 infections were mediated by working from home. METHODS: We used data of the German working population derived from the seroepidemiological study “Corona Monitoring Nationwide – Wave 2 (RKI-SOEP-2)” (N=6826). Infections were assessed by seropositivity against SARS-CoV-2 antigens and self-reports of previous PCR-confirmed infections from the beginning of the pandemic until study participation (November 2021 – February 2022). The frequency of working from home was assessed between May 2021 and January 2022.We used the Karlson-Holm-Breen (KHB) method to decompose the effect of education on SARS-CoV-2 infections. RESULTS: Individuals with lower educational attainment had a higher risk for SARS-CoV-2 infection (adjusted prevalence ratio of low versus very high = 1.76, 95% confidence interval 1.08–2.88; P=0.023). Depending on the level of education, between 27% (high education) and 58% (low education) of the differences in infection were mediated by the frequency of working from home. CONCLUSIONS: Working from home could prevent SARS-CoV-2 infections and contribute to the explanation of socioeconomic inequalities in infection risks. Wherever possible, additional capacities to work remotely, particularly for occupations that require lower educational attainment, should be considered as an important measure of pandemic preparedness. Limitations of this study are the observational cross-sectional design and that the temporal order between infection and working from home remained unclear.

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Do the determinants of COVID-19 transmission differ by epidemic wave? Evidence from U.S. counties

Cited by 7 publications

References 58 publications

A Study of the Impact of COVID-19 on Urban Contact Networks in China Based on Population Flows

A Study of the Impact of COVID-19 on Urban Contact Networks in China Based on Population Flows

Study on the temporal and spatial relationship between public health events and the development of air transport scale: A case of the Southwest China

Education and pandemic SARS-CoV-2 infections in the German working population – the mediating role of working from home

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