202 citations · 520 across the 6 of their papers we have counts for
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stat.ME2024
Mapping Incidence and Prevalence Peak Data for SIR Forecasting Applications
Alexander C. Murph, G. Casey Gibson, Lauren J. Beesley +4
Infectious disease modeling and forecasting have played a key role in helping assess and respond to epidemics and pandemics. Recent work has leveraged data on disease peak infectio…
stat.ME2021★ 25 cited
Addressing delayed case reporting in infectious disease forecast modeling
Lauren J Beesley, Dave Osthus, Sara Y Del Valle
Infectious disease forecasting is of great interest to the public health community and policymakers, since forecasts can provide insight into disease dynamics in the near future an…