Literature DB >> 30869148

Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine.

Shengjie Lai1,2,3, Andrea Farnham4,5, Nick W Ruktanonchai1,2, Andrew J Tatem1,2.   

Abstract

RATIONALE FOR REVIEW: The increasing mobility of populations allows pathogens to move rapidly and far, making endemic or epidemic regions more connected to the rest of the world than at any time in history. However, the ability to measure and monitor human mobility, health risk and their changing patterns across spatial and temporal scales using traditional data sources has been limited. To facilitate a better understanding of the use of emerging mobile phone technology and data in travel medicine, we reviewed relevant work aiming at measuring human mobility, disease connectivity and health risk in travellers using mobile geopositioning data. KEY
FINDINGS: Despite some inherent biases of mobile phone data, analysing anonymized positions from mobile users could precisely quantify the dynamical processes associated with contemporary human movements and connectivity of infectious diseases at multiple temporal and spatial scales. Moreover, recent progress in mobile health (mHealth) technology and applications, integrating with mobile positioning data, shows great potential for innovation in travel medicine to monitor and assess real-time health risk for individuals during travel.
CONCLUSIONS: Mobile phones and mHealth have become a novel and tremendously powerful source of information on measuring human movements and origin-destination-specific risks of infectious and non-infectious health issues. The high penetration rate of mobile phones across the globe provides an unprecedented opportunity to quantify human mobility and accurately estimate the health risks in travellers. Continued efforts are needed to establish the most promising uses of these data and technologies for travel health. © International Society of Travel Medicine 2019. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Mobile phone; connectivity; epidemiology; mHealth; population movement; risk assessment; travel medicine

Mesh:

Year:  2019        PMID: 30869148      PMCID: PMC6904325          DOI: 10.1093/jtm/taz019

Source DB:  PubMed          Journal:  J Travel Med        ISSN: 1195-1982            Impact factor:   8.490


  79 in total

1.  Quantifying seasonal population fluxes driving rubella transmission dynamics using mobile phone data.

Authors:  Amy Wesolowski; C J E Metcalf; Nathan Eagle; Janeth Kombich; Bryan T Grenfell; Ottar N Bjørnstad; Justin Lessler; Andrew J Tatem; Caroline O Buckee
Journal:  Proc Natl Acad Sci U S A       Date:  2015-08-17       Impact factor: 11.205

2.  The scaling laws of human travel.

Authors:  D Brockmann; L Hufnagel; T Geisel
Journal:  Nature       Date:  2006-01-26       Impact factor: 49.962

3.  The hidden geometry of complex, network-driven contagion phenomena.

Authors:  Dirk Brockmann; Dirk Helbing
Journal:  Science       Date:  2013-12-13       Impact factor: 47.728

4.  Commentary: containing the ebola outbreak - the potential and challenge of mobile network data.

Authors:  Amy Wesolowski; Caroline O Buckee; Linus Bengtsson; Erik Wetter; Xin Lu; Andrew J Tatem
Journal:  PLoS Curr       Date:  2014-09-29

5.  Quantifying the impact of human mobility on malaria.

Authors:  Amy Wesolowski; Nathan Eagle; Andrew J Tatem; David L Smith; Abdisalan M Noor; Robert W Snow; Caroline O Buckee
Journal:  Science       Date:  2012-10-12       Impact factor: 47.728

6.  Spread of yellow fever virus outbreak in Angola and the Democratic Republic of the Congo 2015-16: a modelling study.

Authors:  Moritz U G Kraemer; Nuno R Faria; Robert C Reiner; Nick Golding; Birgit Nikolay; Stephanie Stasse; Michael A Johansson; Henrik Salje; Ousmane Faye; G R William Wint; Matthias Niedrig; Freya M Shearer; Sarah C Hill; Robin N Thompson; Donal Bisanzio; Nuno Taveira; Heinrich H Nax; Bary S R Pradelski; Elaine O Nsoesie; Nicholas R Murphy; Isaac I Bogoch; Kamran Khan; John S Brownstein; Andrew J Tatem; Tulio de Oliveira; David L Smith; Amadou A Sall; Oliver G Pybus; Simon I Hay; Simon Cauchemez
Journal:  Lancet Infect Dis       Date:  2016-12-23       Impact factor: 25.071

7.  Seasonal and interannual risks of dengue introduction from South-East Asia into China, 2005-2015.

Authors:  Shengjie Lai; Michael A Johansson; Wenwu Yin; Nicola A Wardrop; Willem G van Panhuis; Amy Wesolowski; Moritz U G Kraemer; Isaac I Bogoch; Dylain Kain; Aidan Findlater; Marc Choisy; Zhuojie Huang; Di Mu; Yu Li; Yangni He; Qiulan Chen; Juan Yang; Kamran Khan; Andrew J Tatem; Hongjie Yu
Journal:  PLoS Negl Trop Dis       Date:  2018-11-09

8.  National and sub-national variation in patterns of febrile case management in sub-Saharan Africa.

Authors:  Victor A Alegana; Joseph Maina; Paul O Ouma; Peter M Macharia; Jim Wright; Peter M Atkinson; Emelda A Okiro; Robert W Snow; Andrew J Tatem
Journal:  Nat Commun       Date:  2018-11-26       Impact factor: 14.919

9.  Geographic variation in access to dog-bite care in Pakistan and risk of dog-bite exposure in Karachi: prospective surveillance using a low-cost mobile phone system.

Authors:  Syed Mohammad Asad Zaidi; Alain B Labrique; Saira Khowaja; Ismat Lotia-Farrukh; Julia Irani; Naseem Salahuddin; Aamir Javed Khan
Journal:  PLoS Negl Trop Dis       Date:  2013-12-12

10.  Mosquitoes on a plane: Disinsection will not stop the spread of vector-borne pathogens, a simulation study.

Authors:  Luis Mier-Y-Teran-Romero; Andrew J Tatem; Michael A Johansson
Journal:  PLoS Negl Trop Dis       Date:  2017-07-03
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  12 in total

1.  Detecting early signals of COVID-19 global pandemic from network density.

Authors:  Amanda M Y Chu; Agnes Tiwari; Mike K P So
Journal:  J Travel Med       Date:  2020-08-20       Impact factor: 8.490

2.  Using mobile phone data to reveal risk flow networks underlying the HIV epidemic in Namibia.

Authors:  Eugenio Valdano; Justin T Okano; Vittoria Colizza; Honore K Mitonga; Sally Blower
Journal:  Nat Commun       Date:  2021-05-14       Impact factor: 14.919

3.  Geolocated Twitter social media data to describe the geographic spread of SARS-CoV-2.

Authors:  Donal Bisanzio; Moritz U G Kraemer; Thomas Brewer; John S Brownstein; Richard Reithinger
Journal:  J Travel Med       Date:  2020-08-20       Impact factor: 8.490

4.  Containing COVID-19 Among 627,386 Persons in Contact With the Diamond Princess Cruise Ship Passengers Who Disembarked in Taiwan: Big Data Analytics.

Authors:  Chi-Mai Chen; Hong-Wei Jyan; Shih-Chieh Chien; Hsiao-Hsuan Jen; Chen-Yang Hsu; Po-Chang Lee; Chun-Fu Lee; Yi-Ting Yang; Meng-Yu Chen; Li-Sheng Chen; Hsiu-Hsi Chen; Chang-Chuan Chan
Journal:  J Med Internet Res       Date:  2020-05-05       Impact factor: 5.428

5.  Evaluating the effect of demographic factors, socioeconomic factors, and risk aversion on mobility during the COVID-19 epidemic in France under lockdown: a population-based study.

Authors:  Giulia Pullano; Eugenio Valdano; Nicola Scarpa; Stefania Rubrichi; Vittoria Colizza
Journal:  Lancet Digit Health       Date:  2020-10-28

6.  How effective has the Spanish lockdown been to battle COVID-19? A spatial analysis of the coronavirus propagation across provinces.

Authors:  Luis Orea; Inmaculada C Álvarez
Journal:  Health Econ       Date:  2021-10-23       Impact factor: 2.395

7.  Assessing spread risk of Wuhan novel coronavirus within and beyond China, January-April 2020: a travel network-based modelling study.

Authors:  Shengjie Lai; Isaac Bogoch; Nick Ruktanonchai; Alexander Watts; Xin Lu; Weizhong Yang; Hongjie Yu; Kamran Khan; Andrew J Tatem
Journal:  medRxiv       Date:  2020-02-05

8.  Effect of non-pharmaceutical interventions for containing the COVID-19 outbreak in China.

Authors:  Shengjie Lai; Nick W Ruktanonchai; Liangcai Zhou; Olivia Prosper; Wei Luo; Jessica R Floyd; Amy Wesolowski; Mauricio Santillana; Chi Zhang; Xiangjun Du; Hongjie Yu; Andrew J Tatem
Journal:  medRxiv       Date:  2020-03-06

9.  The COVID-19 pandemic offers a key moment to reflect on travel medicine practice.

Authors:  Christoph Hatz; Silja Bühler; Andrea Farnham
Journal:  J Travel Med       Date:  2020-12-23       Impact factor: 8.490

Review 10.  Spatial Lifecourse Epidemiology and Infectious Disease Research.

Authors:  Peng Jia; Weihua Dong; Shujuan Yang; Zhicheng Zhan; Shengjie Lai
Journal:  Trends Parasitol       Date:  2020-02-07
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