Sungnak, W. et al. SARS-CoV-2 entry factors are highly expressed in nasal epithelial cells together with innate immune genes. Nat. Med. 26, 681–687. doi.org/10.1038/s41591-020-0868-6 (2020).
Tao, K. et al. The biological and clinical significance of emerging SARS-CoV-2 variants. Nat. Rev. Genet. 22, 757–773. doi.org/10.1038/s41576-021-00408-x (2021).
Yang, L. et al. COVID-19: immunopathogenesis and immunotherapeutics. Signal Transduct. Targeted Ther. 5, doi.org/10.1038/s41392-020-00243-2 (2020).
Le, T. T. et al. The COVID-19 vaccine development landscape. Nat. Rev. Drug Discov. 19, 305–306. doi.org/10.1038/d41573-020-00073-5 (2020).
Ciotti, M. et al. The covid-19 pandemic. Crit. Rev. Clin. Lab. Sci. 57, 365–388 (2020).
Agarwal, A. et al. High-flow nasal cannula for acute hypoxemic respiratory failure in patients with covid-19: systematic reviews of effectiveness and its risks of aerosolization, dispersion, and infection transmission. Can. J. Anesthesia/Journal canadien d’anesthésie 67, 1217–1248 (2020).
Bleier, B. S., Ramanathan, M. Jr. & Lane, A. P. Covid-19 vaccines may not prevent nasal sars-cov-2 infection and asymptomatic transmission. Otolaryngol.-Head Neck Surg. 164, 305–307 (2021).
Kutter, J. S., Spronken, M. I., Fraaij, P. L., Fouchier, R. A. & Herfst, S. Transmission routes of respiratory viruses among humans. Curr. Opin. Virol. 28, 142–151. doi.org/10.1016/j.coviro.2018.01.001 (2018).
Hou, Y. J. et al. SARS-CoV-2 reverse genetics reveals a variable infection gradient in the respiratory tract. Cell 182, 429-446.e14. doi.org/10.1016/j.cell.2020.05.042 (2020).
Tirupathi, R., Bharathidasan, K., Palabindala, V., Salim, S. A. & Al-Tawfiq, J. A. Comprehensive review of mask utility and challenges during the covid-19 pandemic. Infez. Med. 28, 57–63 (2020).
Li, T., Liu, Y., Li, M., Qian, X. & Dai, S. Y. Mask or no mask for covid-19: A public health and market study. PloS one 15, e0237691 (2020).
Eikenberry, S. E. et al. To mask or not to mask: Modeling the potential for face mask use by the general public to curtail the covid-19 pandemic. Infect. Dis. Modell. 5, 293–308 (2020).
Djupesland, P. G. Nasal drug delivery devices: Characteristics and performance in a clinical perspective-a review. Drug Deliv. Transl. Res. 3, 42–62. doi.org/10.1007/s13346-012-0108-9 (2012).
Kublik, H. & Vidgren, M. Nasal delivery systems and their effect on deposition and absorption. Adv. Drug Deliv. Rev. 29, 157–177. doi.org/10.1016/s0169-409x(97)00067-7 (1998).
Brüning, J. et al. Characterization of the airflow within an average geometry of the healthy human nasal cavity. Sci. Rep. 10, doi.org/10.1038/s41598-020-60755-3 (2020).
Wang, Y. & James, P. W. On the effect of anisotropy on the turbulent dispersion and deposition of small particles. Int. J. Multiphase Flow 25, 551–558 (1999).
Inthavong, K., Ge, Q., Se, C. M., Yang, W. & Tu, J. Simulation of sprayed particle deposition in a human nasal cavity including a nasal spray device. J. Aerosol Sci. 42, 100–113. doi.org/10.1016/j.jaerosci.2010.11.008 (2011).
Nguyen, P. H. & Zhang, W. Design and computational modeling of fabric soft pneumatic actuators for wearable assistive devices. Sci. Rep. 10, 1–13 (2020).
Ertan Taskin, M., Zhang, T., Fraser, K. H., Griffith, B. P. & Wu, Z. J. Design optimization of a wearable artificial pump-lung device with computational modeling. J. Med. Dev. 6,(2012).
Chen, Y., Xu, Z., Cai, S., Lang, Y. & Kuo, C.-C. J. A saak transform approach to efficient, scalable and robust handwritten digits recognition. In 2018 Picture Coding Symposium (PCS), 174–178 (IEEE, 2018).
Cai, S., Xu, Z., Huang, Z., Chen, Y. & Kuo, C.-C. J. Enhancing cnn incremental learning capability with an expanded network. In 2018 IEEE International Conference on Multimedia and Expo (ICME), 1–6 (IEEE, 2018).
Du, J. et al. Electrode spacing and current distribution in electrical stimulation of peripheral nerve: a computational modeling study using realistic nerve models. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 4416–4419 (IEEE, 2021).
Du, J. et al. Electrical stimulation induced current distribution in peripheral nerves varies significantly with the extent of nerve damage: A computational study utilizing convolutional neural network and realistic nerve models. In International Work-Conference on the Interplay Between Natural and Artificial Computation, 526–535 (Springer, 2022).
Konda, A. et al. Aerosol filtration efficiency of common fabrics used in respiratory cloth masks. ACS Nano 14, 6339–6347. doi.org/10.1021/acsnano.0c03252 (2020).
Jayaweera, M., Perera, H., Gunawardana, B. & Manatunge, J. Transmission of covid-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy. Environ. Res. 188, 109819 (2020).
Yang, W., Elankumaran, S. & Marr, L. C. Concentrations and size distributions of airborne influenza a viruses measured indoors at a health centre, a day-care centre and on aeroplanes. J. R. Soc. Interface 8, 1176–1184. doi.org/10.1098/rsif.2010.0686 (2011).
Friedlander, S. K. et al. Smoke, Dust, and Haze Vol. 198 (Oxford University Press, 2000).
Infection prevention and control of epidemic-and pandemic prone acute respiratory infections in health care (2014).
Marx, D., Williams, G. & Birkhoff, M. Intranasal drug administration - an attractive delivery route for some drugs. In Drug Discovery and Development-From Molecules to Medicinedoi.org/10.5772/59468 (InTech, 2015).
Inthavong, K., Tian, Z., Tu, J., Yang, W. & Xue, C. Optimising nasal spray parameters for efficient drug delivery using computational fluid dynamics. Comput. Biol. Med. 38, 713–726. doi.org/10.1016/j.compbiomed.2008.03.008 (2008).
Tong, X., Dong, J., Shang, Y., Inthavong, K. & Tu, J. Effects of nasal drug delivery device and its orientation on sprayed particle deposition in a realistic human nasal cavity. Comput. Biol. Med. 77, 40–48. doi.org/10.1016/j.compbiomed.2016.08.002 (2016).
Dong, J., Shang, Y., Inthavong, K., Chan, H.-K. & Tu, J. Partitioning of dispersed nanoparticles in a realistic nasal passage for targeted drug delivery. Int. J. Pharm. 543, 83–95 (2018).
Van Strien, J. et al. Spray characteristics from nasal spray atomization. J. Aerosol Sci. 165, 106009 (2022).
Shrestha, K., Van Strien, J., Singh, N. & Inthavong, K. Primary break-up and atomization characteristics of a nasal spray. Plos one 15, e0236063 (2020).
Kundoor, V. & Dalby, R. N. Effect of formulation- and administration-related variables on deposition pattern of nasal spray pumps evaluated using a nasal cast. Pharm. Res. 28, 1895–1904. doi.org/10.1007/s11095-011-0417-6 (2011).
Liu, X., Doub, W. H. & Guo, C. Assessment of the influence factors on nasal spray droplet velocity using phase-doppler anemometry (pda). AAPS PharmSciTech 12, 337–343 (2011).
Basu, S. et al. Numerical evaluation of spray position for improved nasal drug delivery. Sci. Rep. 10, 1–18 (2020).
Kimbell, J. S. et al. Characterization of deposition from nasal spray devices using a computational fluid dynamics model of the human nasal passages. J. Aerosol Med. 20, 59–74. doi.org/10.1089/jam.2006.0531 (2007).
Jayaweera, M., Perera, H., Gunawardana, B. & Manatunge, J. Transmission of COVID-19 virus by droplets and aerosols: A critical review on the unresolved dichotomy. Environ. Res. 188, 109819. doi.org/10.1016/j.envres.2020.109819 (2020).
Wang, Y., Deng, Z. & Shi, D. How effective is a mask in preventing covid-19 infection?. Med. Dev. Sens. 4, e10163 (2021).
Pan, J., Harb, C., Leng, W. & Marr, L. C. Inward and outward effectiveness of cloth masks, a surgical mask, and a face shield. Aerosol Sci. Technol. 55, 718–733 (2021).
Konda, A. et al. Aerosol filtration efficiency of common fabrics used in respiratory cloth masks. ACS Nano 14, 6339–6347 (2020).
Inthavong, K. et al. A numerical study of spray particle deposition in a human nasal cavity. Aerosol Sci. Technol. 40, 1034–1045. doi.org/10.1080/02786820600924978 (2006).
Shang, Y., Inthavong, K. & Tu, J. Development of a computational fluid dynamics model for mucociliary clearance in the nasal cavity. J. Biomech. 85, 74–83 (2019).
Lucas, A. M. & Douglas, L. Principles underlying ciliary activity in the respiratory tract: Ii. a comparison of nasal clearance in man, monkey and other mammals. Arch. Otolaryngol. 20, 518–541 (1934).
Pennington, A., Ratcliffe, J., Wilson, C. & Hardy, J. The influence of solution viscosity on nasal spray deposition and clearance. Int. J. Pharm. 43, 221–224 (1988).
Sosnowski, T. R., Rapiejko, P., Sova, J. & Dobrowolska, K. Impact of physicochemical properties of nasal spray products on drug deposition and transport in the pediatric nasal cavity model. Int. J. Pharm. 574, 118911. doi.org/10.1016/j.ijpharm.2019.118911 (2020).
Pennington, A., Ratcliffe, J., Wilson, C. & Hardy, J. The influence of solution viscosity on nasal spray deposition and clearance. Int. J. Pharm. 43, 221–224. doi.org/10.1016/0378-5173(88)90277-3 (1988).
Djupesland, P. G. Nasal drug delivery devices: Characteristics and performance in a clinical perspective-a review. Drug Deliv. Transl. Res. 3, 42–62 (2013).
Bee, J. S. et al. Response of a concentrated monoclonal antibody formulation to high shear. Biotechnol. Bioeng. 103, 936–943 (2009).
Inthavong, K., Fung, M. C., Tong, X., Yang, W. & Tu, J. High resolution visualization and analysis of nasal spray drug delivery. Pharm. Res. 31, 1930–1937. doi.org/10.1007/s11095-013-1294-y (2014).