![]() Yahya Abdul-Mateen II is going from the DCEU to the MCU. Image Credit: Michael Buckner for Variety Check out the all the performers in the MCU who have Emmy nominations to their names. That includes Majors, who was nominated in 2021 for the HBO series “Lovecraft Country.” “Quantumania” also introduces Bill Murray, a two-time Emmy champ, and William Jackson Harper, a 2020 nominee for “The Good Place.” That’s on top of already boasting Emmy winner Michael Douglas and nominee Michelle Pfeiffer. There are now a whopping 123 performers in the MCU who have Emmy nominations to their names. ![]() With each new performer who signs on, the pedigree of the mega-franchise grows. The actor, who first appeared in the Season 1 finale of “Loki” as He Who Remains, a variant of Kang, is one of the recent additions to the ever-expanding MCU. 17, is the first entry of Phase Five, one that will be dominated by the new big bad, Kang the Conqueror, played by Jonathan Majors. “Ant-Man and the Wasp: Quantumania,” which it theaters Feb. We recommend such “peace time” forecasting challenges as key elements to improve coordination and inspire collaboration between modeling groups ahead of the next pandemic threat, and to assess model forecasting accuracy for a variety of known and hypothetical pathogens.It took the tiniest hero to usher in the next big phase of the Marvel Cinematic Universe. Overall, this synthetic forecasting challenge provided a deep understanding of model performance under controlled data and epidemiological conditions. The 4th challenge scenario − mirroring an uncontrolled Ebola outbreak with substantial data reporting noise − was poorly predicted by all modeling teams. Individual model outputs and ensemble predictions improved with data accuracy and availability by the second time point, just before the peak of the epidemic, estimates of final size were within 20% of the target. There was no relationship between model complexity and prediction accuracy however, the top performing models for short-term weekly incidence were reactive models with few parameters, fitted to a short and recent part of the outbreak. With respect to weekly case incidence targets, ensemble predictions based on a Bayesian average of the 8 participating models outperformed any individual model and did substantially better than a null auto-regressive model. Prediction targets included 1–4 week-ahead case incidences, outbreak size, peak timing, and several natural history parameters. Challenge participants were invited to predict 140 epidemiological targets across 5 different time points of 4 synthetic Ebola outbreaks, each involving different levels of interventions and “fog of war” in outbreak data made available for predictions. Here we present the results of a synthetic forecasting challenge inspired by the West African Ebola crisis in 2014–2015 and involving 16 international academic teams and US government agencies, and compare the predictive performance of 8 independent modeling approaches. Infectious disease forecasting is gaining traction in the public health community however, limited systematic comparisons of model performance exist.
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