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An extended brief overviewing a bread swath of responses from higher educational institutions worldwide, to the COVID-19 pandemic.

We are writing this openly-published letter to express deep concerns regarding the paper recently published in JAMA Network Open: Estimation of US Children’s Educational Attainment and Years of Life Lost Associated With Primary School Closures During the Coronavirus Disease 2019 Pandemic DOI: 10.1001/jamanetworkopen.2020.28786The paper by Christakis, Van Cleve, and Zimmerman(2020,abbrev. CVZ) is built upon multiple critically flawed assumptions, obvious misuse of the standard analytical tools, and clear mistakes in study design. Additionally, the analysis presented contains crucial mathematical and statistical errors that completely revert the main results, sufficient that if the estimates had been calculated according to the declared methodology, the results would completely contradict the stated conclusions and policy recommendations. These are not idle criticisms. This study has received enormous public attention, and its results immediately appeared in discussions of public health policies around schools worldwide. The central question is resolving an evidence base for the inevitable tradeoff between (a) the very real harms of missed education provoked by policies that decrease viral spread vs. (b) the resumption of education as a social good which increases viral spread. This is an incredibly important public health question, and it demands careful cost-benefit analysis. To that end, this paper adds no usable evidence whatsoever.

Over the covid-19 lockdown period, Dr James Rogers worked with history teachers and academics to keep the learning going in lockdown. He now has a fantastic range of videos and podcasts available. All content is free to access and is explicitly designed to help teachers and students undertake A-Level and GCSE history revision.Podcast - Slavery and Emancipation in the United States, with Dr Cathrine Armstrong.Podcast - The History of Terrorism - The IRA, with Professor Caroline Kennedy-Pipe.Video - The Rise of Hitler - Hitler, Power, and War, with Ms Laurie Matthews.Video - The Home Front in WW2 - The Butterfly Bombing of Grimsby, with Dr James Rogers.

Compilations of video clips of Italian mayors berating citizens breaking quarantine to walk dogs, jog, or play ping pong have become something of a ‘viral’ sensation both in Italy and globally. The clips are often amusing, featuring politicians accusing their constituents of vanity, incontinence, and other assorted sins. As anthropologists interested in the politics of accusation , these small-scale disputes allow us to think through the sorts of political horizons that the novel coronavirus is bringing into being. As the virus spreads, we seek to track the sorts of accusations that spread with it as they provoke what we call virological witch hunts. Unlike the episodes of public blaming and shaming some political figures have promoted through national media, virological witch hunts are small-scale, bottom-up, intimate, and usually amplified through local social networks. We link them to the phenomenon of the untori in XVI- XVII century Lombardy, another bottom-up surge of accusations against those believed to be spreading disease that authorities had to deal with. Relying on social media, we have been reaching out to quarantined residents of the province of Bergamo, in the Lombardy region who have been publicly shamed for perceived transgressions in the midst of the quarantine. The responses offer insight into how the pandemic has precipitated what Massimo, one of our interlocutors, has termed a “collective, hysterical version of preexisting individual patterns of blaming and shaming”.

Dr James Rogers explains how we can draw parallels between the current COVID-19 pandemic and the Second World War, particularly in how humans have responded to an extraordinary challenge.

In the past few months more than a billion people have faced restrictions unlike any seen before. Shops are closed; the death toll is rising; people across the globe have been forced to rise to an extraordinary challenge. But it is important to remember that humans have experienced pandemics before. In this documentary Dan Snow explores some of these previous pandemics and what they can teach us about Covid-19. He talks to Dr James Rogers about what lessons we can learn from WW2.

The population-level case-fatality rate (CFR) associated with COVID-19 varies substantially, both across countries time and within countries over time. We analyze the contribution of two key determinants of the variation in the observed CFR: the age-structure of diagnosed infection cases and age-specific case-fatality rates. We use data on diagnosed COVID-19 cases and death counts attributable to COVID-19 by age for China, Germany, Italy, South Korea, Spain, the United States, and New York City. We calculate the CFR for each population at the latest data point and also for Italy over time. We use demographic decomposition to break the difference between CFRs into unique contributions arising from the age-structure of confirmed cases and the age-specific case-fatality. In late April 2020, CFRs varied from 2.2% in South Korea to 13.0% in Italy. The age-structure of detected cases often explains more than two thirds of cross-country variation in the CFR. In Italy, the CFR increased from 4.2% to 13.0% between March 9 and April 22, 2020, and more than 90% of the change was due to increasing age-specific case-fatality rates. The importance of the age-structure of confirmed cases likely reflects several factors, including different testing regimes and differences in transmission trajectories; while increasing age-specific case-fatality rates in Italy could indicate other factors, such as the worsening health outcomes of those infected with COVID-19. Our findings lend support to recommendations for data to be disaggregated by age, and potentially other variables, to facilitate a better understanding of population-level differences in CFRs. They also show the need for well designed seroprevalence studies to ascertain the extent to which differences in testing regimes drive differences in the age-structure of detected cases.