Eight challenges for network epidemic models
2014 · Epidemics · 190 citations
https://doi.org/10.1016/j.epidem.2014.07.003
L
Lorenzo Pellis
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Lorenzo Pellis is an academic researcher from University of Manchester. The author has contributed to research in topics: COVID-19 epidemiological studies & SARS-CoV-2 and COVID-19 Research & Mathematical and Theoretical Epidemiology and Ecology Models. The author has an h-index of 30, co-authored 104 publications.
ORCID: 0000-0002-3436-6487Papers by this author
worksNine challenges for deterministic epidemic models
2014 · Epidemics · 156 citations
https://doi.org/10.1016/j.epidem.2014.09.006
Challenges for modelling interventions for future pandemics
2022 · Epidemics · 85 citations
https://doi.org/10.1016/j.epidem.2022.100546
Systematic selection between age and household structure for models aimed at emerging epidemic predictions
2020 · Nature Communications · 49 citations
https://doi.org/10.1038/s41467-019-14229-4
Hospital Length of Stay For COVID-19 Patients: Data-Driven Methods for Forward Planning
2020 · Research Square · 21 citations
https://doi.org/10.21203/rs.3.rs-56855/v1
Voluntary risk mitigation behaviour can reduce impact of SARS-CoV-2: a real-time modelling study of the January 2022 Omicron wave in England
2023 · BMC Medicine · 8 citations
https://doi.org/10.1186/s12916-022-02714-5
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