Non-linear spatial linkage between COVID-19 pandemic and mobility in ten countries: A lesson for future wave

Habib, Yasir; Xia, Enjun; Hashmi, Shujahat Haider; Fareed, Zeeshan

doi:10.1016/j.jiph.2021.08.008

Cited by 22 publications

(13 citation statements)

References 44 publications

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“…The correlation coefficients provide a clear indication that mobility is related to the spatial spread of covid-19. This confirms results from the study by [35], where a (non-linear) spatial linkage between covid-19 and mobility is observed for Belgium as well. Still, there are several other mobility-related factors that must have also played a role, but that could not be included in our analysis since relevant data are not available at the appropriate spatiotemporal resolution.…”

Section: Connectivity and Covid-19 Dynamicssupporting

confidence: 91%

Mobility and the spatial spread of SARS-CoV-2 in Belgium

Rollier¹,

Miranda²,

Vergeynst³

et al. 2022

Preprint

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Given that social interactions drive the spread of infectious diseases amongst humans, one anticipates that human mobility in Belgium affected the spread of covid-19 during both 2020 "waves". Measures against this spread in turn influenced mobility patterns. In this study, we analyse and mutually compare time series of covid-19-related data and mobility data across Belgium's 43 arrondissements (NUTS 3 level). First, we confirm that overall mobility did in fact change significantly over the consecutive stages of the pandemic. So doing, we define a quantity that represents the degree of mobility between two

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Section: Connectivity and Covid-19 Dynamicssupporting

confidence: 91%

Mobility and the spatial spread of SARS-CoV-2 in Belgium

Rollier¹,

Miranda²,

Vergeynst³

et al. 2022

Preprint

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“…The Wavelet methodology is developed in engineering sciences. It has applied to other fields of science like finance and economic and environmental studies (Fareed et al, 2020 ; Fareed & Iqbal, 2020 ; Habib et al, 2021 ; Iqbal et al, 2020 ; Madaleno & Pinho, 2012 ; Matar et al, 2021 ; Saiti, 2012 ; Vacha & Barunik, 2012 ) to investigate the comovement and contagion in time series. This method is an alternative to time series and frequency domain methods (Saiti et al, 2016 ).…”

Section: Methodsmentioning

confidence: 99%

Exploring the co‐movements between COVID‐19 pandemic and international air traffic: A global perspective based on wavelet analysis

Fareed

Asl

Irfan

et al. 2022

International Migration

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The travel and tourism industry was one of the fastest‐growing industries before the onset of the COVID‐19 pandemic. However, to avoid COVID‐19 spread, the government authorities imposed strict lockdown and international border restrictions except for some emergency international flights that badly hit the travel and tourism industry. The study explores the nexus between international air departures and the COVID‐19 pandemic in this strain. We use a novel wavelet coherence approach to dissect the lead and lag relationships between international flight departures and COVID‐19 deaths from January 2020 to September 2020 (COVID‐19 first wave period). The results reveal that international flights cause the spread of COVID‐19 spread during May 2020 to June 2020 worldwide. The overall findings suggest asymmetries between daily international flight departures and COVID‐19 deaths globally at different time‐frequency periods due to uncertainty surrounding the COVID‐19 pandemic. The study will be conducive for the policymakers to control the upsurge of COVID‐19 spread worldwide.

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“…For instance, in France, Italy and the UK, long-distance mobility decreased, although the extent of this decrease depended on the infrastructure (Galeazzi et al, 2021). Similarly, research by Habib et al (2021) concluded that in 10 selected countries the overall mobility declined owing to the COVID-19 pandemic.…”

Section: Covid-19 Space Place and Spatial Mobility Of Populationsmentioning

confidence: 99%

Spatial mobility patterns and COVID‐19 incidence: A regional analysis of the second wave in the Netherlands

Roelofs

Ballas

Haisma

et al. 2022

Regional Science Policy & Practice

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A key policy measure introduced by governments worldwide at the beginning of the coronavirus disease 2019 (COVID-19) pandemic was to restrict travel, highlighting the importance of people's mobility as one of the key contributors to spreading severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there was little consistency regarding the geographical scale or the severity of these measures. Little use was made of commuting and travel data to inform decisions on when, where and at what level restrictions should be applied. We aim to contribute to regional policy by providing evidence that could be used to inform future policy debates on the most effective travel restrictions to impose during a pandemic. We present an analysis of the impact of mobility between municipalities on COVID-19 incidence in the Netherlands. We used multiple linear regression models and geographical information systems to gain insight into the association between mobilityrelated factors and demographic, socio-economic and geographical factors with COVID-19 incidence in municipalities.Our results indicate that spatial mobility patterns, when combined with COVID-19 incidence in municipalities of origin, were associated with increased COVID-19 incidence in municipalities of destination. In addition, various regional

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Non-linear spatial linkage between COVID-19 pandemic and mobility in ten countries: A lesson for future wave

Cited by 22 publications

References 44 publications

Mobility and the spatial spread of SARS-CoV-2 in Belgium

Mobility and the spatial spread of SARS-CoV-2 in Belgium

Exploring the co‐movements between COVID‐19 pandemic and international air traffic: A global perspective based on wavelet analysis

Spatial mobility patterns and COVID‐19 incidence: A regional analysis of the second wave in the Netherlands

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