Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study

Clinical characteristics of coronavirus disease 2019 in China

Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246

Early transmission dynamics in Wuhan, China, of novel coronavirus-infected pneumonia

Li, Q., Guan, X., Wu, P., Wang, X., Zhou, L., Tong, Y., Ren, R., Leung, K. S. M., Lau, E. H. Y., Wong, J. Y., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001316 · Cited by 16,575

An interactive web-based dashboard to track COVID-19 in real time

Dong, E., Du, H., & Gardner, L. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30120-1 · Cited by 10,048

First case of 2019 novel coronavirus in the United States

Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030

The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application

Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970

The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak

Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Mu, K., Rossi, L., Sun, K., et al. (2020) · Science · doi:10.1126/science.aba9757 · Cited by 3,694

The effect of human mobility and control measures on the COVID-19 epidemic in China

Kraemer, M. U. G., Yang, C.-H., Gutiérrez, B., Wu, C., Klein, B., Pigott, D. M., open COVID-19 data working group, du Plessis, L., Faria, N. R., Li, R., et al. (2020) · Science · doi:10.1126/science.abb4218 · Cited by 2,987

Early dynamics of transmission and control of COVID-19: a mathematical modelling study

Kucharski, A. J., Russell, T., Diamond, C., Liu, Y., Edmunds, J., Funk, S., Eggo, R. M., Sun, F., Jit, M., Munday, J. D., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30144-4 · Cited by 2,699

Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period

Kissler, S. M., Tedijanto, C., Goldstein, E., Grad, Y. H., & Lipsitch, M. (2020) · Science · doi:10.1126/science.abb5793 · Cited by 2,611

An investigation of transmission control measures during the first 50 days of the COVID-19 epidemic in China.

Tian, H., Liu, Y., Li, Y., Wu, C.-H., Chen, B., Kraemer, M. U. G., Li, B., Cai, J., Xu, B., Yang, Q., et al. (2020) · Science · doi:10.1126/science.abb6105 · Cited by 2,010

Assessing Bias in Smartphone Mobility Estimates in Low Income Countries

Milusheva, S., Björkegren, D., & Viotti, L. (2021) · ACM SIGCAS Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3460112.3471968 · Cited by 23

The relationship between human mobility and viral transmissibility during the COVID-19 epidemics in ItalyPreprint

Cintia, P., Fadda, D., Giannotti, F., Pappalardo, L., Rossetti, G., Pedreschi, D., Rinzivillo, S., Bonato, P., Fabbri, F., Penone, F., et al. (2020) · arXiv (Cornell University) · Cited by 23

Human mobility in epidemic modeling

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Covid-19: Regional policies and local infection risk: Evidence from Italy with a modelling study

Guaitoli, G., & Pancrazi, R. (2021) · The Lancet Regional Health - Europe · doi:10.1016/j.lanepe.2021.100169 · Cited by 22

Substantial impact of mobility restrictions on reducing COVID-19 incidence in Italy in 2020

Vinceti, M., Balboni, E., Rothman, K. J., Teggi, S., Bellino, S., Pezzotti, P., Ferrari, F., Orsini, N., & Filippini, T. (2022) · Journal of Travel Medicine · doi:10.1093/jtm/taac081 · Cited by 22

COVID-19 modelling by time-varying transmission rate associated with mobility trend of driving via Apple Maps

Jing, M., Ng, K. Y., Namee, B. M., Biglarbeigi, P., Brisk, R., Bond, R., Finlay, D., & McLaughlin, J. A. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103905 · Cited by 22

Simulating the impacts of interregional mobility restriction on the spatial spread of COVID-19 in Japan

Kondo, K. (2021) · Scientific Reports · doi:10.1038/s41598-021-97170-1 · Cited by 22

Lifting mobility restrictions and the effect of superspreading events on the short-term dynamics of COVID-19

Santana-Cibrian, M., 1 Instituto de Matemáticas UNAM-Juriquilla, J., Acuña‐Zegarra, M. A., Velasco‐Hernández, J. X., 2 CONACyT - Instituto de Matemáticas, U.-J., 3 Departamento de Matemáticas, U. D. S., & 4 Nodo Multidisciplinario de Matemáticas Aplicadas, I. D. M. U.-J. (2020) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2020330 · Cited by 21

Associations between SARS-CoV-2 RNA concentrations in wastewater and COVID-19 rates in days after sampling in small urban areas of Seville: A time series study

Rasero, F. J. R., Ruano, L. Á. M., del Real, P. R., Gómez, L. C., & Lorusso, N. (2021) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2021.150573 · Cited by 22

Estimating the effect of mobility on SARS-CoV-2 transmission during the first and second wave of the COVID-19 epidemic, Switzerland, March to December 2020

Lison, A., Persson, J., Banholzer, N., & Feuerriegel, S. (2022) · Eurosurveillance · doi:10.2807/1560-7917.es.2022.27.10.2100374 · Cited by 21

STROVE: spatial data infrastructure enabled cloud–fog–edge computing framework for combating COVID-19 pandemic

Ghosh, S., & Mukherjee, A. (2022) · Innovations in Systems and Software Engineering · doi:10.1007/s11334-022-00458-2 · Cited by 21

Time series clustering of COVID-19 pandemic-related data

Luo, Z., Zhang, L., Liu, N., & Wu, Y. (2023) · Data Science and Management · doi:10.1016/j.dsm.2023.03.003 · Cited by 21

Assessing the Role of Daily Activities and Mobility in the Spread of COVID-19 in Montreal With an Agent-Based Approach

Manout, O., & Ciari, F. (2021) · Frontiers in Built Environment · doi:10.3389/fbuil.2021.654279 · Cited by 21

Air pollution and mobility patterns in two Ugandan cities during COVID-19 mobility restrictions suggest the validity of air quality data as a measure for human mobility

Galiwango, R. M., Bainomugisha, E., Kivunike, F. N., Kateete, D. P., & Jjingo, D. (2022) · Environmental Science and Pollution Research · doi:10.1007/s11356-022-24605-1 · Cited by 21

COVID-19 Risk Estimation using a Time-varying SIR-model

Kiamari, M., Ramachandran, G. S., Nguyen, Q., Pereira, E., Holm, J., & Krishnamachari, B. (2020) · doi:10.1145/3423459.3430759 · Cited by 20

The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City

Yang, J., Zhang, Q., Cao, Z., Gao, J., Pfeiffer, D. U., Zhong, L., & Zeng, D. D. (2021) · Chaos An Interdisciplinary Journal of Nonlinear Science · doi:10.1063/5.0040560 · Cited by 20

Unraveling the dynamic importance of county-level features in trajectory of COVID-19

Li, Q., Yang, Y., Wang, W., Lee, S., Xiao, X., Gao, X., Oztekin, B., Fan, C. H., & Mostafavi, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-92634-w · Cited by 21

Human mobility impacts on the surging incidence of COVID‐19 in India

Praharaj, S., & Han, H. (2021) · Geographical Research · doi:10.1111/1745-5871.12502 · Cited by 20

Structural modeling of COVID-19 spread in relation to human mobility

Rafiq, R., Ahmed, T., & Uddin, M. Y. S. (2021) · Transportation Research Interdisciplinary Perspectives · doi:10.1016/j.trip.2021.100528 · Cited by 20

Understanding Multiple Dimensions of Perceived Greenspace Accessibility and Their Effect on Subjective Well-Being During a Global Pandemic

Maurer, M. L., Cook, E. M., Yoon, L., Visnic, O., Orlove, B., Culligan, P. J., & Mailloux, B. J. (2021) · Frontiers in Sustainable Cities · doi:10.3389/frsc.2021.709997 · Cited by 20

Spatial–Temporal Urban Mobility Pattern Analysis During COVID-19 Pandemic

Cheng, Y., Li, C., Zhang, Y., He, S., & Chen, J. (2022) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2022.3201590 · Cited by 20

Who changed and who maintained their urban bike-sharing mobility after the COVID-19 outbreak? A within-subjects study

Seifert, R., Pellicer-Chenoll, M., Antón-González, L., Pans, M., Devís‐Devís, J., & González, L.-M. (2023) · Cities · doi:10.1016/j.cities.2023.104343 · Cited by 20

Dengue transmission dynamics prediction by combining metapopulation networks and Kalman filter algorithm

Zeng, Q., Yu, X., Ni, H., Xiao, L., Xu, T., Wu, H., Chen, Y., Deng, H., Zhang, Y., Pei, S., et al. (2023) · PLoS neglected tropical diseases · doi:10.1371/journal.pntd.0011418 · Cited by 20

Using a DEA–AutoML Approach to Track SDG Achievements

Singpai, B., & Wu, D. D. (2020) · Sustainability · doi:10.3390/su122310124 · Cited by 20

Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis

Feng, S., & Kirkley, A. (2021) · Scientific Reports · doi:10.1038/s41598-021-88010-3 · Cited by 23

Urban-Rural Disparities for COVID-19: Evidence from 10 Countries and Areas in the Western Pacific

Park, M., Lim, J. T., Wang, L., Cook, A. R., & Dickens, B. S. L. (2021) · Health Data Science · doi:10.34133/2021/9790275 · Cited by 20

Effect of Statewide Lockdown in Response to COVID-19 Pandemic on Physical Activity Levels of Hemodialysis Patients

Han, M., Preciado, P., Thwin, O., Tao, X., Silva, L. M. T., Fuentes, L. R., Hakim, M. I., Patel, A. U., Tisdale, L., Zhang, H., et al. (2021) · Blood Purification · doi:10.1159/000514935 · Cited by 19

Impact of the COVID-19 Pandemic on Chlamydia and Gonorrhea Tests Performed by a Large National Laboratory—United States, 2019 to 2020

Tao, G., Dietz, S., Hartnett, K. P., Jayanthi, P., & Gift, T. L. (2022) · Sexually Transmitted Diseases · doi:10.1097/olq.0000000000001638 · Cited by 19

The intensity of COVID‐19 nonpharmaceutical interventions and labor market outcomes in the public sector

Marcén, M., & Morales, M. (2021) · Journal of Regional Science · doi:10.1111/jors.12535 · Cited by 19

Excess Mortality During the COVID-19 Pandemic in Guatemala

Martínez-Folgar, K., Alburez‐Gutierrez, D., Paniagua-Ávila, A., Ramírez‐Zea, M., & Bilal, U. (2021) · American Journal of Public Health · doi:10.2105/ajph.2021.306452 · Cited by 19

The Open Data Canvas–Analyzing Value Creation from Open Data

Gao, Y., & Janssen, M. (2022) · Digital Government Research and Practice · doi:10.1145/3511102 · Cited by 19

Community Risk Factors in the COVID-19 Incidence and Mortality in Catalonia (Spain). A Population-Based Study

Zaldo-Aubanell, Q., López, F. C. I., Bach, A., Serra, I., Olivet-Vila, J., Sáez, M., Pino, D., & Maneja, R. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18073768 · Cited by 19

A dataset to assess mobility changes in Chile following local quarantines

Pappalardo, L., Cornacchia, G., Navarro, V., Bravo, L., & Ferres, L. (2023) · Scientific Data · doi:10.1038/s41597-022-01893-3 · Cited by 19

The mobility gap: estimating mobility thresholds required to control SARS-CoV-2 in Canada

Brown, K. A., Soucy, J.-P. R., Buchan, S. A., Sturrock, S. L., Berry, I., Stall, N. M., Jüni, P., Ghasemi, A., Gibb, N., MacFadden, D. R., et al. (2021) · Canadian Medical Association Journal · doi:10.1503/cmaj.210132 · Cited by 18

A snapshot of a pandemic: The interplay between social isolation and COVID-19 dynamics in Brazil

Ferreira, C. P., Marcondes, D., de Melo, M. P., Oliva, S. M., Peixoto, C., & Peixoto, P. S. (2021) · Patterns · doi:10.1016/j.patter.2021.100349 · Cited by 18

COVID-19 lockdown introduces human mobility pattern changes for both Guangdong-Hong Kong-Macao greater bay area and the San Francisco bay area

Zhong, L., Zhou, Y., Gao, S., Yu, Z., Ma, Z., Li, X., Yue, Y., & Xia, J. (2022) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2022.102848 · Cited by 18

The impact of urban characteristics on the spread of Covid-19 in 2020: The case of Java Island cities, Indonesia

Aritenang, A. F. (2022) · Regional Statistics · doi:10.15196/rs120301 · Cited by 18

Impact of the Urban Exodus Triggered by the COVID-19 Pandemic on the Shrinking Cities of the Osaka Metropolitan Area

Kato, H., & Takizawa, A. (2022) · Sustainability · doi:10.3390/su14031601 · Cited by 18

The association of intensity and duration of non-pharmacological interventions and implementation of vaccination with COVID-19 infection, death, and excess mortality: Natural experiment in 22 European countries

Zhou, F., Hu, T., Zhang, X., Lai, K., Chen, J., & Zhou, X. (2022) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2022.03.011 · Cited by 19

Integrated Analysis of Behavioural and Health COVID-19 Data Combining Bayesian Networks and Structural Equation Models

Kenett, R. S., Manzi, G., Rapaport, C., & Salini, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19084859 · Cited by 18

What is the potential for a second peak in the evolution of SARS-CoV-2 in emerging and developing economies? Insights from a SIRASD model considering the informal economy

Pires, M. A., Crokidakis, N., Cajueiro, D. O., de Menezes, M. A., & Queirós, S. M. D. (2021) · International Journal of Modern Physics C · doi:10.1142/s0129183121501072 · Cited by 17

Time series cross-correlation between home range and number of infected people during the COVID-19 pandemic in a suburban city

Kato, H., & Takizawa, A. (2022) · PLoS ONE · doi:10.1371/journal.pone.0267335 · Cited by 18

An LSTM+ Model for Managing Epidemics: Using Population Mobility and Vulnerability for Forecasting COVID-19 Hospital Admissions

Ray, A., Jank, W., Dutta, K., & Mullarkey, M. T. (2023) · INFORMS journal on computing · doi:10.1287/ijoc.2023.1269 · Cited by 18

Association between vaccination rates and COVID-19 health outcomes in the United States: a population-level statistical analysis

Du, H., Saiyed, S., & Gardner, L. (2024) · BMC Public Health · doi:10.1186/s12889-024-17790-w · Cited by 18

An integrated view on society readiness and initial reaction to COVID–19: A study across European countries

Petrović, D., Petrović, M., Bojković, N., & Čokić, V. P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242838 · Cited by 17

Revealing Critical Characteristics of Mobility Patterns in New York City During the Onset of COVID-19 Pandemic

Rajput, A. A., Li, Q., Gao, X., & Mostafavi, A. (2022) · Frontiers in Built Environment · doi:10.3389/fbuil.2021.654409 · Cited by 17

Os desafios da enfermagem obstétrica no início da pandemia da COVID-19 no Estado do Pará

da Costa, T. P., Ferreira, E. D. S., Rodrigues, D. P., Neri, D. T., Amaral, E., Ferreira, G. C. D. F., & de Araújo, R. M. (2021) · Research Society and Development · doi:10.33448/rsd-v10i3.13042 · Cited by 17

Signatures of the Venezuelan Humanitarian Crisis in the First Wave of COVID-19: Fuel Shortages and Border Migration

Lampo, M., Hernández-Villena, J. V., Cascante, J., Vincenti-Gonzalez, M. F., Forero-Peña, D. A., Segovia, M., Hampson, K., Castro, J. S., & Grillet, M. E. (2021) · Vaccines · doi:10.3390/vaccines9070719 · Cited by 17

Capturing spatial dependence of COVID-19 case counts with cellphone mobility data

Slater, J., Brown, P., Rosenthal, J. S., & Mateu, J. (2021) · Spatial Statistics · doi:10.1016/j.spasta.2021.100540 · Cited by 18

Analysis and Prediction of Human Mobility in the United States during the Early Stages of the COVID-19 Pandemic using Regularized Linear Models

Chakraborty, M., Mahmud, M. S., Gates, T. J., & Sinha, S. (2022) · Transportation Research Record Journal of the Transportation Research Board · doi:10.1177/03611981211067794 · Cited by 17

A flexible employee recruitment and compensation model: A bi-level optimization approach

Gal, H. C., Forma, I. A., & Singer, G. (2021) · Computers & Industrial Engineering · doi:10.1016/j.cie.2021.107916 · Cited by 17

COnVIDa: COVID-19 multidisciplinary data collection and dashboard

Beltrán, E. T. M., Pérez, M. Q., Pastor-Galindo, J., Nespoli, P., Clemente, F. J. G., & Mármol, F. G. (2021) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2021.103760 · Cited by 17

The Keys to Classroom Management.

Nutter, K. (2000) · Teaching music · Cited by 17

Neighborhood Isolation during the COVID-19 Pandemic

Marlow, T., Makovi, K., & Abrahão, B. (2021) · Sociological Science · doi:10.15195/v8.a9 · Cited by 18

Predicting Hospital Resource Use During COVID-19 Surges: A Simple but Flexible Discretely Integrated Condition Event Simulation of Individual Patient-Hospital Trajectories

Caro, J. J., Möller, J., Santhirapala, V., Gill, H. S., Johnston, J., El‐Boghdadly, K., Santhirapala, R., Kelly, P. J., & McGuire, A. J. (2021) · Value in Health · doi:10.1016/j.jval.2021.05.023 · Cited by 16

Exploring the relationship between mobility and COVID− 19 infection rates for the second peak in the United States using phase-wise association

Gottumukkala, R. N., Katragadda, S., Bhupatiraju, R. T., Kamal, A. M., Raghavan, V. V., Chu, H., Kolluru, R., & Ashkar, Z. M. (2021) · BMC Public Health · doi:10.1186/s12889-021-11657-0 · Cited by 16

Translational Bioinformatics to Enable Precision Medicine for All: Elevating Equity across Molecular, Clinical, and Digital Realms

Tang, A., Woldemariam, S. R., Roger, J. M., & Sirota, M. (2022) · Yearbook of Medical Informatics · doi:10.1055/s-0042-1742513 · Cited by 16

Bayesian location estimation of mobile devices using a signal strength model

Tennekes, M., & Gootzen, Y. (2022) · Journal of Spatial Information Science · doi:10.5311/josis.2022.25.166 · Cited by 16

A predictive internet-based model for COVID-19 hospitalization census

Turk, P. J., Tran, T. P., Rose, G. A., & McWilliams, A. D. (2021) · Scientific Reports · doi:10.1038/s41598-021-84091-2 · Cited by 16

A data-driven epidemic model with human mobility and vaccination protection for COVID-19 prediction

Li, R., Song, Y., Qu, H., Li, M., & Jiang, G. (2023) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2023.104571 · Cited by 15

Weather, Social Distancing, and the Spread of COVID-19

Francisco, F. R. B. O. S., & Wilson, D. J. (2020) · Federal Reserve Bank of San Francisco, Working Paper Series · doi:10.24148/wp2020-23 · Cited by 15

Impact of COVID-19 Pandemic on Home Range in a Suburban City in the Osaka Metropolitan Area

Kato, H., Takizawa, A., & Matsushita, D. (2021) · Sustainability · doi:10.3390/su13168974 · Cited by 15

Cities and infectious diseases: Assessing the exposure of pedestrians to virus transmission along city streets

Psyllidis, A., Duarte, F., Teeuwen, R., Miranda, A. S., Benson, T., & Bozzon, A. (2021) · Urban Studies · doi:10.1177/00420980211042824 · Cited by 15

Community vulnerability and mobility: What matters most in spatio-temporal modeling of the COVID-19 pandemic?

Carroll, R. M., & Prentice, C. R. (2021) · Social Science & Medicine · doi:10.1016/j.socscimed.2021.114395 · Cited by 15

Relationships among changes in walking and sedentary behaviors, individual attributes, changes in work situation, and anxiety during the COVID-19 pandemic in Japan

Nagata, S., Adachi, H. M., Hanibuchi, T., Amagasa, S., Inoue, S., & Nakaya, T. (2021) · Preventive Medicine Reports · doi:10.1016/j.pmedr.2021.101640 · Cited by 15

Percolation of temporal hierarchical mobility networks during COVID-19

He, H., Deng, H., Wang, Q., & Gao, J. (2021) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2021.0116 · Cited by 16

Suburban Road Networks to Explore COVID-19 Vulnerability and Severity

Uddin, S., Khan, A. M., Lu, H., Zhou, F., & Karim, S. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19042039 · Cited by 15

SARS-CoV-2 epidemic after social and economic reopening in three U.S. states reveals shifts in age structure and clinical characteristics

Wikle, N. B., Tran, T. N.-A., Gentilesco, B. J., Leighow, S. M., Albert, E., Strong, E. R., Břinda, K., Inam, H., Yang, F., Hossain, S., et al. (2022) · Science Advances · doi:10.1126/sciadv.abf9868 · Cited by 15

Political ideology predicts preventative behaviors and infections amid COVID-19 in democracies

Tung, H. H., Chang, T., & Lin, M. (2022) · Social Science & Medicine · doi:10.1016/j.socscimed.2022.115199 · Cited by 15

Revealing an Inherently Limiting Factor in Human Mobility Prediction

Amichi, L., Viana, A. C., Crovella, M. E., & Loureiro, A. A. F. (2022) · IEEE Transactions on Emerging Topics in Computing · doi:10.1109/tetc.2022.3229088 · Cited by 15

Effects of media on preventive behaviour during the COVID-19 pandemic

Suzuki, T., Yamamoto, H., Ogawa, Y., & Umetani, R. (2023) · Humanities and Social Sciences Communications · doi:10.1057/s41599-023-01554-9 · Cited by 15

Predicting COVID-19 incidence in French hospitals using human contact network analytics

Selinger, C., Choisy, M., & Alizon, S. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.08.029 · Cited by 15

Existing human mobility data sources poorly predicted the spatial spread of SARS-CoV-2 in Madagascar

Ramiadantsoa, T., Metcalf, C. J. E., Raherinandrasana, A. H., Randrianarisoa, S., Rice, B. L., Wesolowski, A., Randriatsarafara, F. M., & Rasambainarivo, F. (2021) · Epidemics · doi:10.1016/j.epidem.2021.100534 · Cited by 15

Exploring the Influence of Summer Temperature on Human Mobility During the COVID‐19 Pandemic in the San Francisco Bay Area

Ly, A., Davenport, F. V., & Diffenbaugh, N. S. (2023) · GeoHealth · doi:10.1029/2022gh000772 · Cited by 14

Enhancing urban resilience to extreme weather: the roles of human transition paths among multiple transportation modes

Qiao, M., Haraguchi, M., & Lall, U. (2024) · International Journal of Geographical Information Systems · doi:10.1080/13658816.2024.2418040 · Cited by 14

Characterizing US Spatial Connectivity and Implications for Geographical Disease Dynamics and Metapopulation Modeling: Longitudinal Observational Study

Pullano, G., Alvarez-Zuzek, L. G., Vittoria Colizza, A., & Bansal, S. (2025) · JMIR Public Health and Surveillance · doi:10.2196/64914 · Cited by 14

Parallel trends in the transmission of SARS-CoV-2 and retail/recreation and public transport mobility during non-lockdown periods

Cazelles, B., Comiskey, C. M., Nguyen-Van-Yen, B., Champagne, C., & Roche, B. (2021) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2021.01.067 · Cited by 14

STOPPAGE: Spatio‐temporal data driven cloud‐fog‐edge computing framework for pandemic monitoring and management

Ghosh, S., Mukherjee, A., Ghosh, S. K., & Buyya, R. (2022) · Software Practice and Experience · doi:10.1002/spe.3144 · Cited by 14

The Impact of Universal Mask Use on SARS-COV-2 in Victoria, Australia on the Epidemic Trajectory of COVID-19

Costantino, V., & MacIntyre, C. R. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.625499 · Cited by 14

COVID ‐19 and future pandemics: is isolation and social distancing the new norm?

Collignon, P. (2021) · Internal Medicine Journal · doi:10.1111/imj.15287 · Cited by 14

Construction of an evacuee placement model for tsunami shelters considering physical distancing to prevent COVID-19 infection

Nakai, H., Itatani, T., & Horiike, R. (2021) · Progress in Disaster Science · doi:10.1016/j.pdisas.2021.100183 · Cited by 14

A data-driven model of the COVID-19 spread among interconnected populations: epidemiological and mobility aspects following the lockdown in Italy

Giamberardino, P. D., Iacoviello, D., Papa, F., & Sinisgalli, C. (2021) · Nonlinear Dynamics · doi:10.1007/s11071-021-06840-2 · Cited by 14

Geolocation, ethics, and HIV research

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PITS: An Intelligent Transportation System in pandemic times

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