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

The scaling laws of human travel

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The Hidden Geometry of Complex, Network-Driven Contagion Phenomena

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Quantifying the Impact of Human Mobility on Malaria

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The UCL–Lancet Commission on Migration and Health: the health of a world on the move

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Dynamic population mapping using mobile phone data

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Global Transport Networks and Infectious Disease Spread

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Predictability of population displacement after the 2010 Haiti earthquake

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Global traffic and disease vector dispersal

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Understanding Human Mobility from Twitter

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Impact of human mobility on the emergence of dengue epidemics in Pakistan

Wesolowski, A., Qureshi, T., Boni, M. F., Sundsøy, P., Johansson, M. A., Rasheed, S. B., Engø‐Monsen, K., & Buckee, C. O. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1504964112 · Cited by 505 · see citing works

On the Use of Human Mobility Proxies for Modeling Epidemics

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Spatially disaggregated population estimates in the absence of national population and housing census data

Wardrop, N. A., Jochem, W. C., Bird, T. J., Chamberlain, H. R., Clarke, D., Kerr, D., Bengtsson, L., Juran, S., Seaman, V. Y., & Tatem, A. J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1715305115 · Cited by 318 · see citing works

Zika virus is a global public health emergency, declares WHO

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Using Mobile Phone Data to Predict the Spatial Spread of Cholera

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Universal model of individual and population mobility on diverse spatial scales

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Using GPS Technology to Quantify Human Mobility, Dynamic Contacts and Infectious Disease Dynamics in a Resource-Poor Urban Environment

Vazquez‐Prokopec, G. M., Bisanzio, D., Stoddard, S. T., Paz‐Soldán, V. A., Morrison, A. C., Elder, J. P., Ramirez-Paredes, J., Halsey, E. S., Kochel, T. J., Scott, T. W., et al. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058802 · Cited by 244 · see citing works

The impact of biases in mobile phone ownership on estimates of human mobility

Wesolowski, A., Eagle, N., Noor, A. M., Snow, R. W., & Buckee, C. O. (2013) · Journal of The Royal Society Interface · doi:10.1098/rsif.2012.0986 · Cited by 239 · see citing works

Assessment of the potential for international dissemination of Ebola virus via commercial air travel during the 2014 west African outbreak

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

Kraemer, M. U. G., Faria, N. R., Reiner, R. C., Golding, N., Nikolay, B., Stasse, S., Johansson, M. A., Salje, H., Faye, O., Wint, W., et al. (2016) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(16)30513-8 · Cited by 232 · see citing works

The geography of imported malaria to non-endemic countries: a meta-analysis of nationally reported statistics

Tatem, A. J., Jia, P., Ordanovich, D., Falkner, M., Huang, Z., Howes, R. E., Hay, S. I., Gething, P. W., & Smith, D. L. (2016) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(16)30326-7 · Cited by 226 · see citing works

Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya

Wesolowski, A., Eagle, N., Noor, A. M., Snow, R. W., & Buckee, C. O. (2012) · PLoS ONE · doi:10.1371/journal.pone.0035319 · Cited by 216 · see citing works

Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data

Wesolowski, A., Buckee, C. O., Engø‐Monsen, K., & Metcalf, C. J. E. (2016) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiw273 · Cited by 212 · see citing works

Global travel patterns: an overview

Glaesser, D., Kester, J., Paulose, H., Alizadeh, A., & Valentin, B. (2017) · Journal of Travel Medicine · doi:10.1093/jtm/tax007 · Cited by 205 · see citing works

Urban emissions hotspots: Quantifying vehicle congestion and air pollution using mobile phone GPS data

Gately, C. K., Hutyra, L. R., Peterson, S., & Wing, I. S. (2017) · Environmental Pollution · doi:10.1016/j.envpol.2017.05.091 · Cited by 198 · see citing works

Unveiling hidden migration and mobility patterns in climate stressed regions: A longitudinal study of six million anonymous mobile phone users in Bangladesh

Lu, X. B., Wrathall, D. J., Sundsøy, P., Nadiruzzaman, M., Wetter, E. W., Iqbal, A., Qureshi, T., Tatem, A. J., Canright, G., Engø‐Monsen, K., et al. (2016) · Global Environmental Change · doi:10.1016/j.gloenvcha.2016.02.002 · Cited by 188 · see citing works

Potential for Zika virus introduction and transmission in resource-limited countries in Africa and the Asia-Pacific region: a modelling study

Bogoch, I. I., Brady, O. J., Kraemer, M. U. G., German, M. L., Creatore, M. I., Brent, S. E., Watts, A., Hay, S. I., Kulkarni, M. A., Brownstein, J. S., et al. (2016) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(16)30270-5 · Cited by 180 · see citing works

Mobile phone data highlights the role of mass gatherings in the spreading of cholera outbreaks

Finger, F., Genolet, T., Mari, L., de Magny, G. C., Manga, N. M., Rinaldo, A., & Bertuzzo, E. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1522305113 · Cited by 176 · see citing works

“Exposure Track”─The Impact of Mobile-Device-Based Mobility Patterns on Quantifying Population Exposure to Air Pollution

Nyhan, M., Grauwin, S., Britter, R. E., Misstear, B. D. R., McNabola, A., Laden, F., Barrett, S. R. H., & Ratti, C. (2016) · Environmental Science & Technology · doi:10.1021/acs.est.6b02385 · Cited by 172 · see citing works

Commentary: Containing the Ebola Outbreak - the Potential and Challenge of Mobile Network Data

Wesolowski, A., Buckee, C. O., Bengtsson, L., Wetter, E. W., Lu, X. B., & Tatem, A. J. (2014) · PLoS Currents · doi:10.1371/currents.outbreaks.0177e7fcf52217b8b634376e2f3efc5e · Cited by 171 · see citing works

Integrating rapid risk mapping and mobile phone call record data for strategic malaria elimination planning

Tatem, A. J., Huang, Z., Narib, C., Kumar, U., Kandula, D., Pindolia, D. K., Smith, D. L., Cohen, J. M., Graupe, B., Uusiku, P., et al. (2014) · Malaria Journal · doi:10.1186/1475-2875-13-52 · Cited by 169 · see citing works

On the privacy-conscientious use of mobile phone data

de Montjoye, Y.-A., Gambs, S., Blondel, V. D., Canright, G., de Cordes, N., Deletaille, S., Engø‐Monsen, K., García–Herranz, M., Kendall, J., Kerry, C. F., et al. (2018) · Scientific Data · doi:10.1038/sdata.2018.286 · Cited by 162 · see citing works

Mobile Phone-Based mHealth Approaches for Public Health Surveillance in Sub-Saharan Africa: A Systematic Review

Brinkel, J., Krämer, A., Krumkamp, R., May, J., & Fobil, J. N. (2014) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph111111559 · Cited by 161 · see citing works

The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents

Tatem, A. J., Qiu, Y., Smith, D. L., Sabot, O. J., Ali, A., & Moonen, B. (2009) · Malaria Journal · doi:10.1186/1475-2875-8-287 · Cited by 159 · see citing works

Identifying Malaria Transmission Foci for Elimination Using Human Mobility Data

Ruktanonchai, N., DeLeenheer, P., Tatem, A. J., Alegana, V. A., Caughlin, T. T., zu Erbach-Schoenberg, E., Lourenço, C., Ruktanonchai, C. W., & Smith, D. L. (2016) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1004846 · Cited by 149 · see citing works

Characterizing the dynamics underlying global spread of epidemics

Wang, L., & Wu, J. T. K. (2018) · Nature Communications · doi:10.1038/s41467-017-02344-z · Cited by 142 · see citing works

Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data

Peak, C. M., Wesolowski, A., zu Erbach-Schoenberg, E., Tatem, A. J., Wetter, E., Lu, X., Power, D., Weidman-Grunewald, E., Ramos, S., Moritz, S., et al. (2018) · International Journal of Epidemiology · doi:10.1093/ije/dyy095 · Cited by 141 · see citing works

Mobile phones and malaria: Modeling human and parasite travel

Buckee, C. O., Wesolowski, A., Eagle, N. N., Hansen, E., & Snow, R. W. (2013) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2012.12.003 · Cited by 139 · see citing works

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

Wesolowski, A., Metcalf, C. J. E., Eagle, N., Kombich, J., Grenfell, B. T., Bjørnstad, O. N., Lessler, J., Tatem, A. J., & Buckee, C. O. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1423542112 · Cited by 137 · see citing works

Dynamic assessment of exposure to air pollution using mobile phone data

Dewulf, B., Neutens, T., Lefebvre, W., Seynaeve, G., Vanpoucke, C., Beckx, C., & de Weghe, N. V. (2016) · International Journal of Health Geographics · doi:10.1186/s12942-016-0042-z · Cited by 133 · see citing works

"Right Time, Right Place" Health Communication on Twitter: Value and Accuracy of Location Information

Burton, S. H., Tanner, K., Giraud-Carrier, C. G., West, J. H., & Barnes, M. (2012) · Journal of Medical Internet Research · doi:10.2196/jmir.2121 · Cited by 125 · see citing works

Using Google Location History data to quantify fine-scale human mobility

Ruktanonchai, N., Ruktanonchai, C. W., Floyd, J., & Tatem, A. J. (2018) · International Journal of Health Geographics · doi:10.1186/s12942-018-0150-z · Cited by 119 · see citing works

mHealth Interventions in Low and Middle-Income Countries: A Systematic Review

Hurt, K., Walker, R. J., Campbell, J. A., & Egede, L. E. (2016) · Global Journal of Health Science · doi:10.5539/gjhs.v8n9p183 · Cited by 113 · see citing works

Medical Considerations before International Travel

Freedman, D. O., Chen, L. H., & Kozarsky, P. E. (2016) · New England Journal of Medicine · doi:10.1056/nejmra1508815 · Cited by 113 · see citing works

Multinational patterns of seasonal asymmetry in human movement influence infectious disease dynamics

Wesolowski, A., zu Erbach-Schoenberg, E., Tatem, A. J., Lourenço, C., Viboud, C. G., Charu, V., Eagle, N., Engø‐Monsen, K., Qureshi, T., Buckee, C. O., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02064-4 · Cited by 109 · see citing works

Using the Web to Collect Data on Sensitive Behaviours: A Study Looking at Mode Effects on the British National Survey of Sexual Attitudes and Lifestyles

Burkill, S. M., Copas, A. J., Couper, M. P., Clifton, S., Prah, P., Datta, J., Conrad, F. G., Wellings, K., Johnson, A. M., & Erens, B. (2016) · PLoS ONE · doi:10.1371/journal.pone.0147983 · Cited by 99 · see citing works

Quantifying population exposure to air pollution using individual mobility patterns inferred from mobile phone data

Nyhan, M., Kloog, I., Britter, R. E., Ratti, C., & Koutrakis, P. (2018) · Journal of Exposure Science & Environmental Epidemiology · doi:10.1038/s41370-018-0038-9 · Cited by 96 · see citing works

The Use of Census Migration Data to Approximate Human Movement Patterns across Temporal Scales

Wesolowski, A., Buckee, C. O., Pindolia, D. K., Eagle, N., Smith, D. L., Garcia, A. J., & Tatem, A. J. (2013) · PLoS ONE · doi:10.1371/journal.pone.0052971 · Cited by 94 · see citing works

Assessment of economic vulnerability to infectious disease crises

Sands, P., Turabi, A. E., Saynisch, P. A., & Dzau, V. J. (2016) · The Lancet · doi:10.1016/s0140-6736(16)30594-3 · Cited by 93 · see citing works

Exploring the use of mobile phone data for national migration statistics

Lai, S., zu Erbach-Schoenberg, E., Pezzulo, C., Ruktanonchai, N., Sorichetta, A., Steele, J. E., Li, T., Dooley, C., & Tatem, A. J. (2019) · Humanities and Social Sciences Communications · doi:10.1057/s41599-019-0242-9 · Cited by 91 · see citing works

Strengths and Weaknesses of Global Positioning System (GPS) Data-Loggers and Semi-structured Interviews for Capturing Fine-scale Human Mobility: Findings from Iquitos, Peru

Paz‐Soldán, V. A., Reiner, R. C., Morrison, A. C., Stoddard, S. T., Kitron, U. D., Scott, T. W., Elder, J. P., Halsey, E. S., Kochel, T. J., Astete, H., et al. (2014) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0002888 · Cited by 81 · see citing works

Assessing the use of mobile phone data to describe recurrent mobility patterns in spatial epidemic models

Panigutti, C., Tizzoni, M., Bajardi, P., Smoreda, Z., & Vittoria Colizza, A. (2017) · Royal Society Open Science · doi:10.1098/rsos.160950 · Cited by 65 · see citing works

Mapping internal connectivity through human migration in malaria endemic countries

Sorichetta, A., Bird, T. J., Ruktanonchai, N., zu Erbach-Schoenberg, E., Pezzulo, C., Tejedor‐Garavito, N., Waldock, I., Sadler, J., García, A. J., Sedda, L., et al. (2016) · Scientific Data · doi:10.1038/sdata.2016.66 · Cited by 62 · see citing works

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

Alegana, V. A., Maina, J., Ouma, P., Macharia, P. M., Wright, J., Atkinson, P. M., Okiro, E. A., Snow, R. W., & Tatem, A. J. (2018) · Nature Communications · doi:10.1038/s41467-018-07536-9 · Cited by 62 · see citing works

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

Lai, S., Johansson, M. A., Yin, W., Wardrop, N. A., van Panhuis, W. G., Wesolowski, A., Kraemer, M. U. G., Bogoch, I. I., Kain, D. C., Findlater, A. R., et al. (2018) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0006743 · Cited by 58 · see citing works

Validating Indicators of Disaster Recovery with Qualitative Research

Dwyer, C., & Horney, J. A. (2014) · PLoS Currents · doi:10.1371/currents.dis.ec60859ff436919e096d51ef7d50736f · Cited by 57 · see citing works

Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates

zu Erbach-Schoenberg, E., Alegana, V. A., Sorichetta, A., Linard, C., Lourenço, C., Ruktanonchai, N., Graupe, B., Bird, T. J., Pezzulo, C., Wesolowski, A., et al. (2016) · Population Health Metrics · doi:10.1186/s12963-016-0106-0 · Cited by 52 · see citing works

Mapping the denominator: spatial demography in the measurement of progress

Tatem, A. J. (2014) · International Health · doi:10.1093/inthealth/ihu057 · Cited by 51 · see citing works

Estimating sources and sinks of malaria parasites in Madagascar

Ihantamalala, F. A., Herbreteau, V., Rakotoarimanana, F. M. J., Rakotondramanga, J. M., Cauchemez, S., Rahoilijaona, B., Pennober, G., Buckee, C. O., Rogier, C., Metcalf, C. J. E., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-06290-2 · Cited by 49 · see citing works

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

Zaidi, S. M. A., Labrique, A. B., Khowaja, S., Lotia‐Farrukh, I., Irani, J., Salahuddin, N., & Khan, A. J. (2013) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0002574 · Cited by 47 · see citing works

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

Mier-y-Terán-Romero, L., Tatem, A. J., & Johansson, M. A. (2017) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0005683 · Cited by 45 · see citing works

Mapping road network communities for guiding disease surveillance and control strategies

Strano, E., Viana, M. P., Sorichetta, A., & Tatem, A. J. (2018) · Scientific Reports · doi:10.1038/s41598-018-22969-4 · Cited by 43 · see citing works

Remotely measuring populations during a crisis by overlaying two data sources

Bharti, N., Lu, X. B., Bengtsson, L., Wetter, E. W., & Tatem, A. J. (2015) · International Health · doi:10.1093/inthealth/ihv003 · Cited by 42 · see citing works

Malaria in China, 2011–2015: an observational study

Lai, S., Li, Z., Wardrop, N. A., Sun, J., Head, M., Huang, Z., Zhou, S., Yu, J., Zhang, Z., Zhou, S., et al. (2017) · Bulletin of the World Health Organization · doi:10.2471/blt.17.191668 · Cited by 41 · see citing works

The Impact of Human Mobility on HIV Transmission in Kenya

Msigwa, A. I., Mureithi, E., & Sumpter, D. J. T. (2015) · PLoS ONE · doi:10.1371/journal.pone.0142805 · Cited by 40 · see citing works

Travel-related infections in mainland China, 2014–16: an active surveillance study

Fang, L., Sun, Y., Zhao, G.-P., Liu, L., Jiang, Z.-J., Fan, Z.-W., Wang, J., Ji, Y., Ma, M., Teng, J., et al. (2018) · The Lancet Public Health · doi:10.1016/s2468-2667(18)30127-0 · Cited by 39 · see citing works

Does the DOSPERT scale predict risk-taking behaviour during travel? A study using smartphones

Farnham, A., Ziegler, S., Blanke, U., Stone, E., Hatz, C., & Puhan, M. A. (2018) · Journal of Travel Medicine · doi:10.1093/jtm/tay064 · Cited by 37 · see citing works

Census-derived migration data as a tool for informing malaria elimination policy

Ruktanonchai, N., Bhavnani, D., Sorichetta, A., Bengtsson, L., Carter, K. H., Córdoba, R., Menach, A. L., Lu, X. B., Wetter, E. W., zu Erbach-Schoenberg, E., et al. (2016) · Malaria Journal · doi:10.1186/s12936-016-1315-5 · Cited by 36 · see citing works

Quantifying the Impact of Accessibility on Preventive Healthcare in Sub-Saharan Africa Using Mobile Phone Data

Wesolowski, A., O’Meara, W. P., Tatem, A. J., Ndege, S., Eagle, N., & Buckee, C. O. (2015) · Epidemiology · doi:10.1097/ede.0000000000000239 · Cited by 32 · see citing works

Can mobile phones transform healthcare in low and middle income countries?

Arie, S. (2015) · BMJ · doi:10.1136/bmj.h1975 · Cited by 29 · see citing works

Ghana: Accelerating neglected tropical disease control in a setting of economic development

Hotez, P. J., Biritwum, N., Fenwick, A., Molyneux, D. H., & Sachs, J. D. (2019) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0007005 · Cited by 28 · see citing works

Trips to medical care among persons with disabilities: Evidence from the 2009 National Household Travel Survey

Brucker, D. L., & Rollins, N. G. (2016) · Disability and health journal · doi:10.1016/j.dhjo.2016.01.001 · Cited by 27 · see citing works

Travel medicine and mHealth technology: a study using smartphones to collect health data during travel

Farnham, A., Blanke, U., Stone, E., Puhan, M. A., & Hatz, C. (2016) · Journal of Travel Medicine · doi:10.1093/jtm/taw056 · Cited by 27 · see citing works

Migration statistics relevant for malaria transmission in Senegal derived from mobile phone data and used in an agent-based migration model

Tompkins, A. M., & McCreesh, N. (2016) · Geospatial health · doi:10.4081/gh.2016.408 · Cited by 26 · see citing works

Measles outbreak risk in Pakistan: exploring the potential of combining vaccination coverage and incidence data with novel data-streams to strengthen control

Wesolowski, A., Winter, A. K., Tatem, A. J., Qureshi, T., Engø‐Monsen, K., Buckee, C. O., Cummings, D. A. T., & Metcalf, C. J. E. (2018) · Epidemiology and Infection · doi:10.1017/s0950268818001449 · Cited by 25 · see citing works

Public Health Emergency of International Concern (PHEIC) has Declared Twice in 2014; Polio and Ebola at the Top

Soghaier, M. A., 1 Communicable Diseases Epidemiologist & Biostatistician, F. M. O. H., Saeed, K. M. I., & Zaman, K. K. (2015) · AIMS Public Health · doi:10.3934/publichealth.2015.2.218 · Cited by 24 · see citing works

The quantified self during travel: mapping health in a prospective cohort of travellers

Farnham, A., Furrer, R., Blanke, U., Stone, E., Hatz, C., & Puhan, M. A. (2017) · Journal of Travel Medicine · doi:10.1093/jtm/tax050 · Cited by 22 · see citing works

Streaming data from a smartphone application: A new approach to mapping health during travel

Farnham, A., Röösli, M., Blanke, U., Stone, E., Hatz, C., & Puhan, M. A. (2017) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2017.11.005 · Cited by 19 · see citing works

Identification and review of mobile applications for travel medicine practitioners and patients

Seed, S. M., Khov, S. L., Binguad, F. S., Abraham, G. M., & Aungst, T. D. (2016) · Journal of Travel Medicine · doi:10.1093/jtm/taw034 · Cited by 16 · see citing works

Research on the move: the potential applications of mobile health technology in travel medicine

Flaherty, G. T. (2016) · Journal of Travel Medicine · doi:10.1093/jtm/taw061 · Cited by 16 · see citing works

Analytical validation of an ultra low-cost mobile phone microplate reader for infectious disease testing

Wang, L., Naudé, N., Demissie, M., Crivaro, A., Kamoun, M., Wang, P., & Li, L. (2018) · Clinica Chimica Acta · doi:10.1016/j.cca.2018.03.013 · Cited by 14 · see citing works

Real-time incidence of travel-related symptoms through a smartphone-based app remote monitoring system: a pilot study

Rodríguez-Valero, N., Ledesma‐Carbayo, M. J., Sánchez, D. C., Vladimirov, A., Espriu, M., Vera, I., Roldan, M., de Alba, T., Sanz, S., Moreno, J. L. G., et al. (2018) · Journal of Travel Medicine · doi:10.1093/jtm/tay034 · Cited by 9 · see citing works

Effect of non-pharmaceutical interventions to contain COVID-19 in China

Lai, S., Ruktanonchai, N., Zhou, L., Prosper, O., Luo, W. P., Floyd, J., Wesolowski, A., Santillana, M., Zhang, C., Du, X., et al. (2020) · Nature · doi:10.1038/s41586-020-2293-x · Cited by 1,357 · see citing works

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

Pullano, G., Valdano, E., Scarpa, N., Rubrichi, S., & Vittoria Colizza, A. (2020) · The Lancet Digital Health · doi:10.1016/s2589-7500(20)30243-0 · Cited by 358 · see citing works

A Deep Gravity model for mobility flows generation

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Assessing spread risk of COVID-19 in early 2020

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A Survey on Deep Learning for Human Mobility

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Big Data and Data Analytics for an Enhanced COVID-19 Epidemic Management

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Using social media listening and data mining to understand travellers’ perspectives on travel disease risks and vaccine-related attitudes and behaviours

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Exploring the Relationship between Temporal Fluctuations in Satellite Nightlight Imagery and Human Mobility across Africa

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Space-time personalized short message service (SMS) for infectious disease control – Policies for precise public health

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

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Graph attention networks unveil determinants of intra- and inter-city health disparity

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Patients with Chronic Diseases Who Travel: Need for Global Access to Timely Health Care Data

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Virtual Access to Subspecialty Care

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Factors Associated with Non-Adherence to Treatment Among Migrants with MDR-TB in Wuhan, China: A Cross-Sectional Study

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Secure Record Linkage of Large Health Data Sets: Evaluation of a Hybrid Cloud Model

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End of year editorial: hot topics in travel medicine

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Demand-driven Urban Facility Visit Prediction

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Deep Gravity: enhancing mobility flows generation with deep neural networks and geographic informationPreprint

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The Frequency of Phantom Vibration Syndrome in Medical Staff: A Cross Sectional Survey

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Public Health Importance of Emporiatrics: A Review

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How coronavirus disease will change the face of travel medicine

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Travel Medicine and Tourist Health

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The Impact of COVID-19 Confinement on Regional Mobility of Spatial-Temporal Social Networks

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Tracing patients' PLOD with mobile phones: Mitigation of epidemic risks through patients' locational open dataPreprint

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Travel medicine – A comprehensive guide to safe world travel

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Identification of mobile applications on the Google Play store for travel medicine practitioners and patients

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Feasibility of Obtaining Sufficient Numbers of Responses to Questions About Travel Intentions, Thereby Facilitating Effective Health Messaging

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Applications of Geographic Information Science and Technology to Monitor and Manage the COVID-19 Pandemic

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Graph Attention Networks Unveil Determinants of Intra- and Inter-city Health DisparityPreprint

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AMDA: Anchor Mobility Data Analytic for Determining Home-Work Location from Mobile Positioning Data

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Timely Personalized Exposure Risk Estimation for Air Travelers

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The limitations of mobile phone data for measuring movement patterns of populations at risk of malaria

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Changes in nighttime lights during COVID-19 lockdown over Delhi, India

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The Role of Medical Microbiologists in Advancing the Frontiers of Travel Medicine

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Leading Potential for the Intensive Development of a City

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Social mobility and gonorrhoea in Germany during 2020

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Texting in a crisis—using SMS for information and emotional support during COVID-19: A mixed methods research study

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Are Urban Hotspots to Avoid or to Embrace? Determining the Resilience of Auckland City's Urban Hotspots Under Lockdown ConstraintsPreprint

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GESTÃO DO CUIDADO NA ATENÇÃO PRIMÁRIA E PSICOSSOCIAL NO CONTEXTO DA COVID-19: UMA REVISÃO DE ESCOPO

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SARS-CoV-2 epidemiology, kinetics, and evolution: a narrative reviewPreprint

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A Novel Framework for Spatiotemporal POI Analysis

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Traveler-Related Mobile Application for Infectious Disease Self-Monitoring

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Dwell Time Analytics for Understanding Place Similarity

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Evaluating the landscape of the 1918 influenza and the 2019 coronavirus pandemics in mapping potential sentinel surveillance sites for emerging and re-emerging infectious diseases in Ghana

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Mapping seasonal human mobility across Africa using mobile phone location history and geospatial dataPreprint

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Global Travel Health Risks and Safety Measures: A Comprehensive Review

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Exploring Gastrointestinal Syndromes on a High-Altitude Train Route

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Analyzing urban space resilience: Human mobility pulses in Auckland’s urban hotspots through the lens of COVID-19

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Characterizing the impact of incorporating spatially aggregated human mobility data into infectious disease models

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Enhancing Public Health Insights and Interpretation Through AI-Driven Time-Series Analysis: Hierarchical Clustering, Hamming Distance, and Binary Tree Visualization of Infectious Disease Trends

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Communicating Risk, Travel Medicine, and Global Mobility in an Era of Emerging Infectious Diseases

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The implication of travel health consultation practice by primary healthcare physicians in Jeddah, Saudi Arabia

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Connecting Mobility to Infectious Diseases: The Promise and Limits of Mobile Phone Data

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