Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis
Abstract Mobile phones have been used to monitor mobility changes during the COVID-19 pandemic but surprisingly few studies addressed in detail the implementation of practical applications involving whole populations. We report a method of generating a “mobility-index” and a “stay-at-home/resting-in...
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Nature Portfolio
2021
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oai:doaj.org-article:eea5572987d64c95997141e8b6caf8cd2021-12-02T11:39:20ZCountrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis10.1038/s41598-021-81873-62045-2322https://doaj.org/article/eea5572987d64c95997141e8b6caf8cd2021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-81873-6https://doaj.org/toc/2045-2322Abstract Mobile phones have been used to monitor mobility changes during the COVID-19 pandemic but surprisingly few studies addressed in detail the implementation of practical applications involving whole populations. We report a method of generating a “mobility-index” and a “stay-at-home/resting-index” based on aggregated anonymous Call Detail Records of almost all subscribers in Hungary, which tracks all phones, examining their strengths and weaknesses, comparing it with Community Mobility Reports from Google, limited to smartphone data. The impact of policy changes, such as school closures, could be identified with sufficient granularity to capture a rush to shops prior to imposition of restrictions. Anecdotal reports of large scale movement of Hungarians to holiday homes were confirmed. At the national level, our results correlated well with Google mobility data, but there were some differences at weekends and national holidays, which can be explained by methodological differences. Mobile phones offer a means to analyse population movement but there are several technical and privacy issues. Overcoming these, our method is a practical and inexpensive way forward, achieving high levels of accuracy and resolution, especially where uptake of smartphones is modest, although it is not an alternative to smartphone-based solutions used for contact tracing and quarantine monitoring.Miklos SzocskaPeter PollnerIstvan SchiszlerTamas JooTamas PaliczMartin McKeeAron AsztalosLaszlo BenczeMor KapronczayPeter PetreczBenedek TothAdam SzaboAttila WeningerKrisztian AderPeter BacskaiPeter KarasziGyozo TerplanGabor TubolyAdam SohonyaiJozsef SzokeAdam TothPeter GaalNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-9 (2021) |
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DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
Medicine R Science Q |
| spellingShingle |
Medicine R Science Q Miklos Szocska Peter Pollner Istvan Schiszler Tamas Joo Tamas Palicz Martin McKee Aron Asztalos Laszlo Bencze Mor Kapronczay Peter Petrecz Benedek Toth Adam Szabo Attila Weninger Krisztian Ader Peter Bacskai Peter Karaszi Gyozo Terplan Gabor Tuboly Adam Sohonyai Jozsef Szoke Adam Toth Peter Gaal Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |
| description |
Abstract Mobile phones have been used to monitor mobility changes during the COVID-19 pandemic but surprisingly few studies addressed in detail the implementation of practical applications involving whole populations. We report a method of generating a “mobility-index” and a “stay-at-home/resting-index” based on aggregated anonymous Call Detail Records of almost all subscribers in Hungary, which tracks all phones, examining their strengths and weaknesses, comparing it with Community Mobility Reports from Google, limited to smartphone data. The impact of policy changes, such as school closures, could be identified with sufficient granularity to capture a rush to shops prior to imposition of restrictions. Anecdotal reports of large scale movement of Hungarians to holiday homes were confirmed. At the national level, our results correlated well with Google mobility data, but there were some differences at weekends and national holidays, which can be explained by methodological differences. Mobile phones offer a means to analyse population movement but there are several technical and privacy issues. Overcoming these, our method is a practical and inexpensive way forward, achieving high levels of accuracy and resolution, especially where uptake of smartphones is modest, although it is not an alternative to smartphone-based solutions used for contact tracing and quarantine monitoring. |
| format |
article |
| author |
Miklos Szocska Peter Pollner Istvan Schiszler Tamas Joo Tamas Palicz Martin McKee Aron Asztalos Laszlo Bencze Mor Kapronczay Peter Petrecz Benedek Toth Adam Szabo Attila Weninger Krisztian Ader Peter Bacskai Peter Karaszi Gyozo Terplan Gabor Tuboly Adam Sohonyai Jozsef Szoke Adam Toth Peter Gaal |
| author_facet |
Miklos Szocska Peter Pollner Istvan Schiszler Tamas Joo Tamas Palicz Martin McKee Aron Asztalos Laszlo Bencze Mor Kapronczay Peter Petrecz Benedek Toth Adam Szabo Attila Weninger Krisztian Ader Peter Bacskai Peter Karaszi Gyozo Terplan Gabor Tuboly Adam Sohonyai Jozsef Szoke Adam Toth Peter Gaal |
| author_sort |
Miklos Szocska |
| title |
Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |
| title_short |
Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |
| title_full |
Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |
| title_fullStr |
Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |
| title_full_unstemmed |
Countrywide population movement monitoring using mobile devices generated (big) data during the COVID-19 crisis |
| title_sort |
countrywide population movement monitoring using mobile devices generated (big) data during the covid-19 crisis |
| publisher |
Nature Portfolio |
| publishDate |
2021 |
| url |
https://doaj.org/article/eea5572987d64c95997141e8b6caf8cd |
| work_keys_str_mv |
AT miklosszocska countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT peterpollner countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT istvanschiszler countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT tamasjoo countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT tamaspalicz countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT martinmckee countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT aronasztalos countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT laszlobencze countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT morkapronczay countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT peterpetrecz countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT benedektoth countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT adamszabo countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT attilaweninger countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT krisztianader countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT peterbacskai countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT peterkaraszi countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT gyozoterplan countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT gabortuboly countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT adamsohonyai countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT jozsefszoke countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT adamtoth countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis AT petergaal countrywidepopulationmovementmonitoringusingmobiledevicesgeneratedbigdataduringthecovid19crisis |
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