Data pipelines in a public health emergency: The human in the machine

Ashton, 2020 Cori, 2017, Key data for outbreak evaluation: building on the Ebola experience, Philos. Trans. R. Soc. B, 372, 10.1098/rstb.2016.0371 Ferguson, 2020 FitzJohn, 2021 2021, Coronavirus: lessons learned to date 2022 Knock, 2021, Key epidemiological drivers and impact of interventions in the 2020 SARS-CoV-2 epidemic in England, Sci. Transl. Med., 10.1126/scitranslmed.abg4262 Kraemer, 2021, Data curation during a pandemic and lessons learned from COVID-19, Nat. Comput. Sci., 1, 9, 10.1038/s43588-020-00015-6 Mathieu, 2022, Commit to transparent pandemic data — not fancy dashboards, Nature, 10.1038/d41586-022-00424-9 Park, 2021, How COVID-19 has fundamentally changed clinical research in global health, Lancet Glob. Health, 9, e711, 10.1016/S2214-109X(20)30542-8 Public Health England, 2022 R Core Team, 2020 Sonabend, 2021, Non-pharmaceutical interventions, vaccination, and the SARS-CoV-2 delta variant in England: a mathematical modelling study, Lancet, 398, 1825, 10.1016/S0140-6736(21)02276-5 Therrien, 2020, A critical review of the data pipeline: how wastewater system operation flows from data to intelligence, Water Sci. Technol., 82, 2613, 10.2166/wst.2020.393 VIMC, 2017