Azaria, A., Ekblaw,
A., Vieira, T., & Lippman, A. (2022). MedRec: Using blockchain for medical
data access and permission management. In 2022 2nd International Conference on
Open and Big Data (OBD) (pp. 25-30). IEEE.
Chen, C., Lee, P.,
Pain, E., & Delgado, S. (2024). Navigating the ethical landscape of AI and
big data in global health crises. The Lancet Digital Health, 6(3), e129-e135.
Choi, H., Cho, K.,
Ahn, I., & Lee, S. (2023). Big data analytics for COVID-19 mobility
patterns: Implications for public health interventions. Journal of Medical
Internet Research, 25(4), e35001.
Gardy, J. L., &
Loman, N. J. (2023). Towards a genomics-informed, real-time, global pathogen
surveillance system. Nature Reviews Genetics, 24(1), 9-20.
Kogan, N. E.,
Clemente, L., Liautaud, P., Kaashoek, J., Link, N. B., Nguyen, A. T., … &
Santillana, M. (2022). An early warning approach to monitor COVID-19 activity
with multiple digital traces in near real-time. Science Advances, 7(10),
eabd6989.
Radin, J. M.,
Wineinger, N. E., Topol, E. J., & Steinhubl, S. R. (2024). Harnessing
wearable device data to improve state-level real-time surveillance of
influenza-like illness in the USA: A population-based study. The Lancet Digital
Health, 6(2), e85-e93.
Srinivasan, R.,
Cherian, V., & Bharadwaj, R. (2024). Challenges in the implementation of
AI-driven early warning systems for infectious diseases. Journal of Global
Health, 14, 03002.
Tong, Y., Liu, X.,
Zhang, L., & Li, S. (2023). Early warning of infectious disease outbreak
using social media data and deep learning models. International Journal of
Environmental Research and Public Health, 20(4), 1765.
Alimadadi, A., Aryal, S., Manandhar, I.,
Munroe, P. B., Joe, B., & Cheng, X. (2023). Artificial intelligence and
machine learning to fight COVID-19. Physiological Genomics, 52(4), 200-202.
Franch-Pardo, I.,
Napoletano, B. M., Rosete-Verges, F., & Billa, L. (2022). Spatial analysis and GIS in the study of COVID-19. A review. Science of
The Total Environment, 739, 140033.
Kahn, R., Warren, D., Palermo, T.,
Bettencourt, L. M., & Ferretti, L. (2022). Digital contact tracing and
exposure notification: Ethical guidance for trustworthy pandemic management.
Ethics and Information Technology, 24(1), 1-10.
Kass, N. E., & Gostin, L. O. (2023).
COVID-19 and the ethical imperatives of public health. The Hastings Center
Report, 53(2), 6-9.
Kupferschmidt, K. (2022). Vaccine nationalism
hinders global cooperation. Science, 371(6528), 446-447.
Li, Y., Liang, M., Gao, L., Ahmed, M. A., Uy,
J. P., Cheng, C., … & Sun, C. (2024). Face masks to prevent transmission
of COVID-19: A systematic review and meta-analysis. American Journal of
Infection Control, 49(7), 900-906.
Mallapaty, S. (2023). COVID vaccines slash
viral spread – but Delta is an unknown. Nature, 596(7870), 17-18.
Mina, M. J., & Andersen, K. G. (2021).
COVID-19 testing: One size does not fit all. Science, 371(6525), 126-127.
Petropoulos, F., & Makridakis, S. (2022).
Forecasting the novel coronavirus COVID-19. PloS one, 15(3), e0231236.
Sorci, G., Faivre, B., & Morand, S.
(2022). Explaining among-country variation in COVID-19 case fatality rate.
Scientific Reports, 10(1), 18909.
Wang, L., Lin, Z. Q., & Wong, A. (2023).
COVID-Net: A tailored deep convolutional neural network design for detection of
COVID-19 cases from chest X-ray images. Scientific Reports, 13(1), 1-11.
Williamson, E. J., Walker, A. J., Bhaskaran,
K., Bacon, S., Bates, C., Morton, C. E., … & Goldacre, B. (2023). Factors
associated with COVID-19-related death using OpenSAFELY. Nature, 584(7821),
430-436.
World Health Organization. (2024). WHO
Coronavirus (COVID-19) Dashboard. https://covid19.who.int/
Ye, Y., Hou, S., Fan, Y., Zhang, Y., Qian, Y.,
Sun, S., … & Lapata, M. (2023). Alpha-Satellite: An AI-driven system for
COVID-19 epidemiological analysis and forecasting. Science Bulletin, 66(8),
838-844.
Zhang, F., Abudayyeh, O. O., & Gootenberg,
J. S. (2022). A protocol for detection of COVID-19 using CRISPR diagnostics.
Broad Institute, 8, 1-8.
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