[
Bhattacharya, S., Singh, A., & Hossain, M.M. (2019, September 2). Strengthening public health surveillance through blockchain technology. AIMS Public Health. Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6779606/, accessed on 05 October 2021.
]Search in Google Scholar
[
Bivins, A.D., North, A., Ahmad, W., Ahmed, E., Alm, F., Been, P., Bhattacharya, L., Bijlsma, A.B., Boehm, J., Brown, G., Buttiglieri, V., Calabro, A., Carducci, S., Castiglioni, Z., Cetecioglu Gurol, S., Chakraborty, F., Costa, S., Curcio, F.L. de los Reyes, ... K. Bibby. (2020). Wastewater-Based Epidemiology: Global Collaborative to Maximize Contributions in the Fight Against COVID-19. Environmental Science & Technology, Vol. 54, Issue 13, 7754-7757, available at: https://doi.org/10.1021/acs.est.0c02388, accessed on 05 October 2021.729938232530639
]Search in Google Scholar
[
Budd, J., Miller, B.S., Manning, E.M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V.C., Stevens, M.M., Keegan, N., Short, M.J., Pillay, D., Manley, E., Cox, I.J., Heymann, D., Johnson, A.M., & McKendry, R.A. (2020, August 7). Digital Technologies in the public-health response to COVID-19. Nature News, available at: https://www.nature.com/articles/s41591-020-1011-4, accessed on 05 October 2021.
]Search in Google Scholar
[
Devriendt, T., Borry, P., & Shabani, M. (2021). Factors that influence data sharing through data sharing platforms: A qualitative study on the views and experiences of cohort holders and platform developers. PLoS ONE, Vol. 16, Issue 7, 1-14.10.1371/journal.pone.0254202825338134214146
]Search in Google Scholar
[
Farkas, K., Hillary, L., Malham, S., McDonald, J., & Jones, D. (2020). Wastewater and public health: the potential of wastewater surveillance for monitoring COVID-19. Current Opinion in Environmental Science & Health, Vol. 17, 14-20, ISSN 2468-5844.10.1016/j.coesh.2020.06.001729199232835157
]Search in Google Scholar
[
Fernandez-Cassi, X., Timoneda, N., Martínez-Puchol, S., Rusiñol, M., Rodriguez-Manzano, J., Figuerola, N., Bofill-Mas, S., Abril, J.F., & Girones, R. (2017). Metagenomics for the study of viruses in urban sewage as a tool for public health surveillance. Science of the Total Environment, available at: https://doi.org/10.1016/j.scitotenv.2017.08.249, accessed on 05 October 2021.29108696
]Search in Google Scholar
[
Friis, R.H. (2018). Epidemiology 101. 2nd Edition, Jones & Bartlett Learning.
]Search in Google Scholar
[
Groseclose, S.L., & Buckridge, D.L. (2016, December 15). Public Health Surveillance systems: Recent advances in their use and evaluation. Annual Reviews, available at: https://www.annualreviews.org/doi/10.1146/annurev-publhealth-031816-044348, accessed on 27 September 2021.
]Search in Google Scholar
[
Heilweil, R. (2021, December 21). How omicron broke COVID-19 testing. Vox.
]Search in Google Scholar
[
Hughes, H. (2021). The use of emergency department electronic health data for syndromic surveillance to enhance public health surveillance programmes in England (Order No. 28827644). Available at: ProQuest Dissertations & Theses Global.
]Search in Google Scholar
[
Keshaviah, A., Hu, X., & Henry, M. (2021). Developing a Flexible National Wastewater Surveillance System for COVID-19 and Beyond. Environmental Health Perspectives, Vol. 129, Issue 4. DOI: 10.1289/EHP8572.805768133877858
]Open DOISearch in Google Scholar
[
Kreier, F. (2021). The Myriad Ways Sewage Surveillance Is Helping Fight COVID Around the World. Nature.10.1038/d41586-021-01234-133972790
]Search in Google Scholar
[
Kester, D.T. (2021). Proactive text messaging for public health surveillance during the COVID-19 pandemic (Order No. 28652914). Available at: ProQuest Dissertations & Theses Global.
]Search in Google Scholar
[
McNabb, S.J.N., Conde, J.M., Ferland, L., Memish, Z.A., Okutani, S., Park, M.M., Ryland, P., Shaikh, A.T., & Singh, V. (Eds.). (2016). Transforming Public Health Surveillance: Proactive measures for prevention, detection, and response. Elsevier.
]Search in Google Scholar
[
Russell, T.W., Hellewell, J., Abbott, S., Golding, N., Gibbs, H., Jarvis, C.I., van Zandvoort, K., CMMD COVID-19 working group, Flasche, S., Eggo, R. M., Edmunds, W. J., & Kucharski, A. J. (2020, March 22). Using a delay-adjusted case fatality ratio to estimate under-reporting. CMMID Repository, available at: https://cmmid.github.io/topics/covid19/global_cfr_estimates.html, 05 October 2021.
]Search in Google Scholar
