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Pandemics and Intellectual Discourse: Engineering/Technical Perspectives

Highlighted Articles

science of the total environment     Ibarra-Vega, D. (2020). Lockdown, one, two, none, or smart. Modeling containing covid-19 infection. A conceptual model. Science of the Total Environment, 730, Article 138917. https://doi.org/10.1016/j.scitotenv.2020.138917 
 
 
 
JBJS      Vaid, S., Cakan, C., & Bhandari, M. (2020). Using Machine Learning to Estimate Unobserved COVID-19 Infections in North AmericaThe Journal of bone and joint surgery.  https://doi.org/10.2106/JBJS.20.00715 

 

 

 

environment systems & decisions     Keenan, J. M. (2020). COVID, resilience, and the built environment. Environment Systems and Decisions. https://doi.org/10.1007/s10669-020-09773-0 

 
 
 
JOS   Currie, C. S. M., Fowler, J. W., Kotiadis, K., Monks, T., Onggo, B. S., Robertson, D. A., & Tako, A. A. (2020). How simulation modelling can help reduce the impact of COVID-19Journal of Simulation. https://doi.org/10.1080/17477778.2020.1751570 
 
 
 

Selected Journal Articles

Carlaw, S. (2020). Impact on biometrics of Covid-19. Biometric Technology Today, 2020(4), 8-9. https://doi.org/10.1016/S0969-4765(20)30050-3 
 
 
Cuevas, E. (2020). An agent-based model to evaluate the COVID-19 transmission risks in facilities. Computers in Biology and Medicine, 121. https://doi.org/10.1016/j.compbiomed.2020.103827 
 
 
Ding, X.-R., Clifton, D., Ji, N., Lovell, N. H., Bonato, P., Chen, W., Yu, X., Xue, Z., Xiang, T., Long, X., Xu, K., Jiang, X., Wang, Q., Yin, B., Feng, G., & Zhang, Y. (2020). Wearable Sensing and Telehealth Technology with Potential Applications in the Coronavirus Pandemic. IEEE Reviews in Biomedical Engineering.  https://doi.org/10.1109/RBME.2020.2992838 
 
 
Filipi, A., Gutierrez-Aguirre, I., Primc, G., Mozeti, M., & Dobnik, D. (2020). Cold Plasma, a New Hope in the Field of Virus Inactivation. Trends in Biotechnology. https://doi.org/10.1016/j.tibtech.2020.04.003 
 
 
Kim, R. Y. (2020). The Impact of COVID-19 on Consumers: Preparing for Digital Sales. IEEE Engineering Management Review  https://doi.org/10.1109/EMR.2020.2990115 
 
 
Madurai Elavarasan, R., & Pugazhendhi, R. (2020). Restructured society and environment: A review on potential technological strategies to control the COVID-19 pandemic. Science of theTotal Environment.  
https://doi.org/10.1016/j.scitotenv.2020.138858 
 
Meinert, E., Milne-Ives, M., Surodina, S., & Lam, C. (2020). Agile requirements engineering and software planning for a digital health platform to engage the effects of isolation caused by social distancing: Case studyJournal of Medical Internet Research, 22(5), Article e19297. https://doi.org/10.2196/19297 
 
 
Mittal, R., Ni, R., & Seo, J.-H. (2020). The flow physics of COVID-19. Journal of Fluid Mechanics, 894. https://doi.org/10.1017/jfm.2020.330 
 
Morales-Narvaez, E., & Dincer, C. (2020). The impact of biosensing in a pandemic outbreak: COVID-19. Biosensors and Bioelectronics, 163. https://doi.org/10.1016/j.bios.2020.112274 
 
 
Naude, W. (2020). Artificial intelligence vs COVID-19: limitations, constraints and pitfalls. AI and Society
https://doi.org/10.1007/s00146-020-00978-0 
 
 
Rubio-Romero, J. C., Pardo-Ferreira, M. d. C., Torrecilla-Garcia, J. A., & Calero-Castro, S. (2020). Disposable masks: Disinfection and sterilization for reuse, and non-certified manufacturing, in the face of shortages during the COVID-19 pandemic. Safety Science, 129. https://doi.org/10.1016/j.ssci.2020.104830 
 
 
Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D. (2020). Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering.  https://doi.org/10.1109/RBME.2020.2987975
 
 
Shokrani, A., Loukaides, E. G., Elias, E., & Lunt, A. J. G. (2020). Exploration of alternative supply chains and distributed manufacturing in response to COVID-19; a case study of medical face shields. Materials and Design, 192. https://doi.org/10.1016/j.matdes.2020.108749 
 
 
Wesemann, C., Pieralli, S., Fretwurst, T., Nold, J., Nelson, K., Schmelzeisen, R., Hellwig, E., & Spies, B. C. (2020). 3-D printed protective equipment during COVID-19 pandemic. Materials, 13(8). https://doi.org/10.3390/MA13081997 

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