Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring

Khatib, Emil J.; Roselló, María Remédios Zamora; Páez, Jesús Miranda; Giralt, Victoriano; Barco, Raquel

doi:10.3390/s21103424

Cited by 11 publications

(7 citation statements)

References 69 publications

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“…This concept relates active focuses with the maximum incidence rate in a certain date, and the spread of contagion ten days later, especially in the neighbourhoods of the city whose inhabitants have been in the focus. The preliminary results show the coherence of this model of transmission in recent studies carried out by Khatib et al (2021) andLlanes et al (2021).…”

Section: Discussionsupporting

confidence: 79%

Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform

Roselló

Barrionuevo

Prados

et al. 2021

BAGE

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The present research analyses the epidemiological bases, the methodology approach and the utility of the Geo-Covid Cartographic Platform to face COVID-19 transmission at an intra-urban scale. Geo-Covid is based on the study of the main drawbacks and limitations of the current risk maps, and the proposed hazard mapping methodology is presented as an alternative approach with a high spatial-temporal accuracy. It is based on 1) the map of neighborhood active focuses of contagion, which are classified according to several hazard indexes, 2) the map of highly-transited areas by potential asymptomatic positives cases and 3) the map of Points of Maximum Risk of contagion. In order to test the effectiveness of the proposed methodology for mapping COVID-19 hazard and risk, it has been applied to Málaga City (Spain) during several stages of the epidemic in the city (2020 and 2021). The neighborhood focus of contagion is proposed as the basic spatial unit for the epidemiological diagnosis and the implementation of mitigation and control measures. After the analysis, it has been concluded that the proposed methodology, and thus, the maps included in the Geo-Covid Cartographic Platform allow a realistic and rigorous analysis of the spatial distribution of the epidemic in real-time.

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Section: Discussionsupporting

confidence: 79%

Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform

Roselló

Barrionuevo

Prados

et al. 2021

BAGE

Self Cite

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“…In [ 15 ], the incidence of citizen mobility regarding the spread of the pandemic was investigated, showing that the number of daily certified cases of COVID-19 infections is strongly linked with trips made 21 days before. This finding was confirmed in [ 16 ], where the authors analyzed the mobility behavior using data from cellular networks through a specific use case in Málaga (Spain), showing a correlation between mobility and number of cases. Using data from Apple mobility trends, the relation between human mobility tendencies and severe COVID-19 outcomes was also studied in [ 17 ], concluding that the reduction in mobility had a significant impact on decreasing COVID-19 mortality, thus providing crucial evidence in support of such government’s preventive measures.…”

Section: Related Worksupporting

confidence: 54%

Characterization of COVID-19’s Impact on Mobility and Short-Term Prediction of Public Transport Demand in a Mid-Size City in Spain

González

Wilby

Díaz

et al. 2021

Sensors

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COVID-19 has dramatically struck each section of our society: health, economy, employment, and mobility. This work presents a data-driven characterization of the impact of COVID-19 pandemic on public and private mobility in a mid-size city in Spain (Fuenlabrada). Our analysis used real data collected from the public transport smart card system and a Bluetooth traffic monitoring network, from February to September 2020, thus covering relevant phases of the pandemic. Our results show that, at the peak of the pandemic, public and private mobility dramatically decreased to 95% and 86% of their pre-COVID-19 values, after which the latter experienced a faster recovery. In addition, our analysis of daily patterns evidenced a clear change in the behavior of users towards mobility during the different phases of the pandemic. Based on these findings, we developed short-term predictors of future public transport demand to provide operators and mobility managers with accurate information to optimize their service and avoid crowded areas. Our prediction model achieved a high performance for pre- and post-state-of-alarm phases. Consequently, this work contributes to enlarging the knowledge about the impact of pandemic on mobility, providing a deep analysis about how it affected each transport mode in a mid-size city.

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“…The latest studies on pandemic monitoring using cellular tracking show that low mobility rates guarantee low spread because they keep infection rates low (Khatib, Perles‐Roselló, Miranda‐Páez, Giralt, & Barco, 2021 ). In this sense, timely decisions and early rules before incidence increases are needed to effectively control each wave (Seong et al., 2021 ).…”

Section: Discussionmentioning

confidence: 99%

Are spatial patterns of Covid‐19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain

Guerra

Salcines

Cantarero

2022

Transactions in GIS

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This research approaches the empirical study of the pandemic from a social science perspective. The main goal is to reveal spatiotemporal changes in Covid‐19, at regional scale, using GIS technologies and the emerging three‐dimensional bins method. We analyze a case study of the region of Cantabria (northern Spain) based on 29,288 geocoded positive Covid‐19 cases in the four waves from the outset in March 2020 to June 2021. Our results suggest three main spatial processes: a reversal in the spatial trend, spreading first followed by contraction in the third and fourth waves; then the reduction of hot spots that represent problematic areas because of high presence of cases and growing trends; and finally, an increase in cold spots. All this generates relevant knowledge to help policy‐makers from regional governments to design efficient containment and mitigation strategies. Our research is conducted from a geoprevention perspective, based on the application of targeted measures depending on spatial patterns of Covid‐19 in real time. It represents an opportunity to reduce the socioeconomic impact of global containment measures in pandemic management.

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Mass Tracking in Cellular Networks for the COVID-19 Pandemic Monitoring

Cited by 11 publications

References 69 publications

Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform

Potential of hazard mapping as a tool for facing COVID-19 transmission: the geo-COVID cartographic platform

Characterization of COVID-19’s Impact on Mobility and Short-Term Prediction of Public Transport Demand in a Mid-Size City in Spain

Are spatial patterns of Covid‐19 changing? Spatiotemporal analysis over four waves in the region of Cantabria, Spain

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