Published on in Vol 23 , No 4 (2021) :April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27045, first published .
Spatial-Temporal Relationship Between Population Mobility and COVID-19 Outbreaks in South Carolina: Time Series Forecasting Analysis

Spatial-Temporal Relationship Between Population Mobility and COVID-19 Outbreaks in South Carolina: Time Series Forecasting Analysis

Spatial-Temporal Relationship Between Population Mobility and COVID-19 Outbreaks in South Carolina: Time Series Forecasting Analysis

Journals

  1. Zhang J, Wu X, Chow T. Space-Time Cluster’s Detection and Geographical Weighted Regression Analysis of COVID-19 Mortality on Texas Counties. International Journal of Environmental Research and Public Health 2021;18(11):5541 View
  2. Kumar Dubey A, Kumar A, García-Díaz V, Kumar Sharma A, Kanhaiya K. Study and analysis of SARIMA and LSTM in forecasting time series data. Sustainable Energy Technologies and Assessments 2021;47:101474 View
  3. Nguyen H, Turk P, McWilliams A. Forecasting COVID-19 Hospital Census: A Multivariate Time-Series Model Based on Local Infection Incidence. JMIR Public Health and Surveillance 2021;7(8):e28195 View
  4. Zeng C, Zhang J, Li Z, Sun X, Yang X, Olatosi B, Weissman S, Li X. Population Mobility and Aging Accelerate the Transmission of Coronavirus Disease 2019 in the Deep South: A County-Level Longitudinal Analysis. Clinical Infectious Diseases 2022;74(Supplement_3):e1 View
  5. Ensoy-Musoro C, Nguyen M, Hens N, Molenberghs G, Faes C. Spatio-temporal model to investigate COVID-19 spread accounting for the mobility amongst municipalities. Spatial and Spatio-temporal Epidemiology 2023;45:100568 View
  6. Jin W, Dong S, Yu C, Luo Q. A data-driven hybrid ensemble AI model for COVID-19 infection forecast using multiple neural networks and reinforced learning. Computers in Biology and Medicine 2022;146:105560 View
  7. Fang Z, Yang S, Lv C, An S, Guan P, Huang D, Zhou B, Wu W. The correlation between temperature and the incidence of COVID-19 in four first-tier cities of China: a time series study. Environmental Science and Pollution Research 2022;29(27):41534 View
  8. Manabe T, Phan D, Nohara Y, Kambayashi D, Nguyen T, Van Do T, Kudo K. Spatiotemporal distribution of COVID-19 during the first 7 months of the epidemic in Vietnam. BMC Infectious Diseases 2021;21(1) View
  9. Huang X, Wang S, Zhang M, Hu T, Hohl A, She B, Gong X, Li J, Liu X, Gruebner O, Liu R, Li X, Liu Z, Ye X, Li Z. Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation 2022;113:102967 View
  10. Jing F, Li Z, Qiao S, Zhang J, Olatosi B, Li X. Using geospatial social media data for infectious disease studies: a systematic review. International Journal of Digital Earth 2023;16(1):130 View
  11. Ciesielski M, Tkaczyk M, Hycza T, Taczanowska K. Was it really different? COVID-19-pandemic period in long-term recreation monitoring – A case study from Polish forests. Journal of Outdoor Recreation and Tourism 2023;41:100495 View
  12. Braun D, Ingram D, Ingram D, Khan B, Marsh J, McAndrew T. Crowdsourced Perceptions of Human Behavior to Improve Computational Forecasts of US National Incident Cases of COVID-19: Survey Study. JMIR Public Health and Surveillance 2022;8(12):e39336 View
  13. Li Y, Li Y, Li J, Ma S, Gao P. Tourism demand forecasting from the perspective of mobility: a brand-new predictive variable generated from intercity population mobility big data. Asia Pacific Journal of Tourism Research 2022;27(5):526 View
  14. Hung P, Liu J, Norregaard C, Shih Y, Liang C, Zhang J, Olatosi B, Campbell B, Li X. Analysis of Residential Segregation and Racial and Ethnic Disparities in Severe Maternal Morbidity Before and During the COVID-19 Pandemic. JAMA Network Open 2022;5(10):e2237711 View
  15. Ning H, Li Z, Qiao S, Zeng C, Zhang J, Olatosi B, Li X. Revealing geographic transmission pattern of COVID-19 using neighborhood-level simulation with human mobility data and SEIR model: A case study of South Carolina. International Journal of Applied Earth Observation and Geoinformation 2023;118:103246 View