Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis

Santamaría, Carlos; Sermi, Francesco; Spyratos, Spyridon; Iacus, Stefano Maria; Annunziato, Alessandro; Tarchi, D.; Vespe, Michele

doi:10.1016/j.ssci.2020.104925

Cited by 118 publications

(113 citation statements)

References 8 publications

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“…If the pandemic situation worsens exponentially (widespread community transmission), many states will be forced to impose a lockdown (curfew) until the effective reproduction number decreases to a value less than 1. Several studies published during this year pointed to the fiscal impact of moving restrictions on the economy, especially in the manufacturing and services sector (such as tourism or retails) [ 1 , 2 , 3 ]. Lockdown hits the economy hard and creates serious financial problems for the state budget.…”

Section: Introductionmentioning

confidence: 99%

On Pilot Massive COVID-19 Testing by Antigen Tests in Europe. Case Study: Slovakia

Frnda

Ďurica

2021

Infectious Disease Reports

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This paper provides a summary of mass COVID-19 testing of almost the entire population in Slovakia by antigen tests. We focused on the results delivered by two testing rounds and analyzed the benefits and weaknesses of such type of testing. We prepared mathematical models to critically examine the effectiveness of the testing, and we also estimated the number of potentially sick people that would become infected by those marked as positives by antigen tests. Our calculations have proven that antigen testing in hotspots can flatten the curve of daily newly reported cases significantly, but in regions with low-risk of COVID-19, the benefit of such testing is questionable. As for the regions with low infection rates, we could only estimate the proportion of true and false-positive cases because the national health authority had not validated the results by RT–PCR tests. Therefore, this work can serve as an introductory study on the first nationwide testing by antigen tests in Europe.

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Section: Introductionmentioning

confidence: 99%

On Pilot Massive COVID-19 Testing by Antigen Tests in Europe. Case Study: Slovakia

Frnda

Ďurica

2021

Infectious Disease Reports

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“…The reproduction number R and the rate of the infection spread correlate with people’s mobility [31]. Geographic clustering occurs because people’s motion and local travel is higher in their close neighborhoods, especially in a country like Lebanon where with the absence of national public transportation throughout the country [32] diminishes nationwide mobility.…”

Section: Resultsmentioning

confidence: 99%

Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon

Deeb

2020

Preprint

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In this paper we study the spatial spread of the COVID-19 infection in Lebanon. We inspect the spreading of the daily new infections across the 26 administrative districts of the country, and implement Moran's I statistics in order to analyze the tempo-spatial clustering of the infection in relation to various variables parameterized by adjacency, proximity, population, population density, poverty rate and poverty density, and we find out that except for the poverty rate, the spread of the infection is clustered and associated to those parameters with varying magnitude for the time span between July (geographic adjacency and proximity) or August (population, population density and poverty density) through October. We also determine the temporal dynamics of geographic location of the mean center of new and cumulative infections since late March. The results obtained allow for regionally and locally adjusted health policies and measures that would provide higher levels of public health safety in the country.

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“…In [ 34 ], the authors report on an analysis of mobile phone data to ascertain subgroups with different purposes of visit and related spatio-temporal patterns. Lately, some authors took advantage of mobile phone data to investigate mobility patterns during the COVID-19 pandemic the world is experiencing [ 36 – 38 ]. Indeed, using mobile phone data is not always a feasible solution since the collected data are, in most cases, owned by private large corporations and telecom providers.…”

Section: Related Workmentioning

confidence: 99%

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

Prandi

Nisi²,

Ribeiro³

et al. 2021

J Big Data

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Tourism is one of the world’s largest industries fundamentally arising from mobility as a form of capital. In destination islands that have a delicate ecosystem to maintain, this source of income can become problematic in terms of sustainability. A difficulty in making people aware of this issue is also represented by the fact that such sustainability-related issues (and their causes) are often not “visible” to citizens. To foster awareness about the relationship between sustainability and tourism in well-known destinations, we design a platform that engages users at two levels of participation: i. at the IoT and sensors level, in order to let them becoming providers of big data, deploying and enlarging the pervasive infrastructure; ii. at the (big) data visualization level, with the aim of engaging them in making sense of large volumes of data related to sustainability. This paper presents the design and implementation of a real-world experience where a low-cost collaborative platform made it possible to sense and visualize tourist flows and urban data into a rich interactive map-based visualization, open to the local communities. We deployed our case study in the Madeira archipelago, engaging locals and visitors of the island in two exploratory studies focused on measuring the impact of providing users with meaningful representations of tourism flows and related unperceivable aspects that affect the environmental sustainability. Analysing the findings of the two studies, we discuss the potentiality of using such a system to make sense of big data, fostering awareness about sustainability issues, and we point to future open challenges about citizens’ participation in sensing and making sense of big data.

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Measuring the impact of COVID-19 confinement measures on human mobility using mobile positioning data. A European regional analysis

Cited by 118 publications

References 8 publications

On Pilot Massive COVID-19 Testing by Antigen Tests in Europe. Case Study: Slovakia

On Pilot Massive COVID-19 Testing by Antigen Tests in Europe. Case Study: Slovakia

Spatial autocorrelation and the dynamics of the mean center of COVID-19 infections in Lebanon

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience

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