The novel coronavirus, SARS-CoV-2, commonly known as COVID19 has become a global pandemic in early 2020. The world has mounted a global social distancing intervention on a scale thought unimaginable prior to this outbreak; however, the economic impact and sustainability limits of this policy create significant challenges for government leaders around the world. Understanding the future spread and growth of COVID19 is further complicated by data quality issues due to high numbers of asymptomatic patients who may transmit the disease yet show no symptoms; lack of testing resources; failure of recovered patients to be counted; delays in reporting hospitalizations and deaths; and the co-morbidity of other life-threatening illnesses. We propose a Monte Carlo method for inferring true case counts from observed deaths using clinical estimates of Infection Fatality Ratios and Time to Death. Findings indicate that current COVID19 confirmed positive counts represent a small fraction of actual cases, and that even relatively effective surveillance regimes fail to identify all infectious individuals. We further demonstrate that the miscount also distorts officials' ability to discern the peak of an epidemic, confounding efforts to assess the efficacy of various interventions.

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There is a lingering notion among Beowulf scholars, despite Chauncey Tinker's effort to dispel it eighty years ago, that the Beowulf manuscript is slowly but inexorably crumbling away in its modern home in the British Library. The gloomy news for a general audience is that the manuscript, ‘charred at the edges by the fire’ that decimated the Cotton Library in 1731, ‘continues to deteriorate year by year’. A scholarly audience gets the same impression from Norman Davis, who gives us a reproduction of an old transliteration beside new photographs of the manuscript. He says, ‘Zupitza's transliteration … has permanent value as a record of what he could see in the manuscript in 1880–2’, a comment that certainly implies that Zupitza was able to see more in the manuscript a century ago than we can see today. In fact, with the aid of modern artificial lighting, notably fibre-optic and ultra-violet light, we can see far more in the manuscript today than Zupitza was able to see in 1882.

Abstract. An unusual alliance called the ARCHway Project is developing an EditionProduction Technology (EPT), a technological infrastructure for collaborative research, teaching, and learning between computer scientists and specialists in Old English. 1 Our goal is to identify and solve problems of mutual importance in building image-based electronic editions of significant cultural materials. The EPT will allow us to implement and integrate both new and already available software applications, to construct a digital library of