Modelling disease outbreaks in realistic urban social networks
2004 · Nature · 2,133 citations
https://doi.org/10.1038/nature02541
M
Madhav Marathe
Biocom(US)
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Madhav Marathe is an academic researcher from Biocom. The author has contributed to research in topics: COVID-19 epidemiological studies & Complex Network Analysis Techniques & Data-Driven Disease Surveillance. The author has an h-index of 60, co-authored 624 publications.
ORCID: 0000-0003-1653-0658Papers by this author
worksCommentary on Ferguson, et al., “Impact of Non-pharmaceutical Interventions (NPIs) to Reduce COVID-19 Mortality and Healthcare Demand”
2020 · Bulletin of Mathematical Biology · 942 citations
https://doi.org/10.1007/s11538-020-00726-x
Using data-driven agent-based models for forecasting emerging infectious diseases
2017 · Epidemics · 203 citations
https://doi.org/10.1016/j.epidem.2017.02.010
The United States COVID-19 Forecast Hub dataset
2022 · Scientific Data · 123 citations
https://doi.org/10.1038/s41597-022-01517-w
Epidemiological and economic impact of COVID-19 in the US
2021 · Scientific Reports · 73 citations
https://doi.org/10.1038/s41598-021-99712-z
Evaluation of the US COVID-19 Scenario Modeling Hub for informing pandemic response under uncertainty
2023 · Nature Communications · 57 citations
https://doi.org/10.1038/s41467-023-42680-x
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