The Use of Mobility Data for Responding to the COVID-19 Pandemic

As the COVID-19 pandemic continues to upend the way people move, work, and gather, governments, businesses, and public health researchers have looked increasingly at mobility data to support pandemic response. This data, assets that describe human location and movement, generally has been collected for purposes directly related to a company's business model, including optimizing the delivery of consumer services, supply chain management or targeting advertisements. However, these call detail records, smartphone-mobility data, vehicle-derived GPS, and other mobility data assets can also be used to study patterns of movement. These patterns of movement have, in turn, been used by organizations to forecast disease spread and inform decisions on how to best manage activity in certain locations.Researchers at The GovLab and Cuebiq, supported by the Open Data Institute, identified 51 notable projects from around the globe launched by public sector and research organizations with companies that use mobility data for these purposes. It curated five projects among this listing that highlight the specific opportunities (and risks) presented by using this asset. Though few of these highlighted projects have provided public outputs that make assessing project success difficult, organizations interviewed considered mobility data to be a useful asset that enabled better public health surveillance, supported existing decision-making processes, or otherwise allowed groups to achieve their research goals.The report below summarizes some of the major points identified in those case studies. While acknowledging that location data can be a highly sensitive data type that can facilitate surveillance or expose data subjects if used carelessly, it finds mobility data can support research and inform decisions when applied toward narrowly defined research questions through frameworks that acknowledge and proactively mitigate risk. These frameworks can vary based on the individual circumstances facing data users, suppliers, and subjects. However, there are a few conditions that can enable users and suppliers to promote publicly beneficial and responsible data use and overcome the serious obstacles facing them.For data users (governments and research institutions), functional access to real-time and contextually relevant data can support research goals, even though a lack of data science competencies and both short and long-term funding sources represent major obstacles for this goal. Data suppliers (largely companies), meanwhile, need governance structures and mechanisms that facilitate responsible re-use, including data re-use agreements that define who, what, where, and when, and under what conditions data can be shared. A lack of regulatory clarity and the absence of universal governance and privacy standards have impeded effective and responsible dissemination of mobility for research and humanitarian purposes. Finally, for both data users and suppliers, we note that collaborative research networks that allow organizations to seek out and provide data can serve as enablers of project success by facilitating exchange of methods and resources, and closing the gap between research and practice.Based on these findings, we recommend the development of clear governance and privacy frameworks, increased capacity building around data use within the public sector, and more regular convenings of ecosystem stakeholders (including the public and data subjects) to broaden collaborative networks. We also propose solutions towards making the responsible use of mobility data more sustainable for longterm impact beyond the current pandemic. A failure to develop regulatory and governance frameworks that can responsibly manage mobility data could lead to a regression to the ad hoc and uncoordinated approaches that previously defined mobility data applications. It could also lead to disparate standards about organizations' responsibilities to the public

ARCHANGEL: Trusted Archives of Digital Public Documents

We present ARCHANGEL; a decentralised platform for ensuring the long-term integrity of digital documents stored within public archives. Document integrity is fundamental to public trust in archives. Yet currently that trust is built upon institutional reputation --- trust at face value in a centralised authority, like a national government archive or University. ARCHANGEL proposes a shift to a technological underscoring of that trust, using distributed ledger technology (DLT) to cryptographically guarantee the provenance, immutability and so the integrity of archived documents. We describe the ARCHANGEL architecture, and report on a prototype of that architecture build over the Ethereum infrastructure. We report early evaluation and feedback of ARCHANGEL from stakeholders in the research data archives space

pH monitoring of gastro-oesophageal reflux before and after laparoscopic sleeve gastrectomy

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Long-term follow-up after bariatric surgery in a national cohort

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Multicentre cohort study of antihypertensive and lipid‐lowering therapy cessation after bariatric surgery

International audienceBACKGROUND:Few studies have assessed changes in antihypertensive and lipid-lowering therapy after bariatric surgery. The aim of this study was to assess the 6-year rates of continuation, discontinuation or initiation of antihypertensive and lipid-lowering therapy after bariatric surgery compared with those in a matched control group of obese patients.METHODS:This nationwide observational population-based cohort study used data extracted from the French national health insurance database. All patients undergoing gastric bypass or sleeve gastrectomy in France in 2009 were matched with control patients. Mixed-effect logistic regression models were used to analyse factors that influenced discontinuation or initiation of treatment over a 6-year interval.RESULTS:In 2009, 8199 patients underwent primary gastric bypass (55·2 per cent) or sleeve gastrectomy (44·8 per cent). After 6 years, the proportion of patients receiving antihypertensive and lipid-lowering therapy had decreased more in the bariatric group than in the control group (antihypertensives: -40·7 versus -11·7 per cent respectively; lipid-lowering therapy: -53·6 versus -20·2 per cent; both P < 0·001). Gastric bypass was the main predictive factor for discontinuation of therapy for hypertension (odds ratio (OR) 9·07, 95 per cent c.i. 7·72 to 10·65) and hyperlipidaemia (OR 11·91, 9·65 to 14·71). The proportion of patients not receiving treatment at baseline who were subsequently started on medication was lower after bariatric surgery than in controls for hypertension (5·6 versus 15·8 per cent respectively; P < 0·001) and hyperlipidaemia (2·2 versus 9·1 per cent; P < 0·001). Gastric bypass was the main protective factor for antihypertensives (OR 0·22, 0·18 to 0·26) and lipid-lowering medication (OR 0·12, 0·09 to 0·15).CONCLUSION:Bariatric surgery is associated with a good discontinuation of antihypertensive and lipid-lowering therapy, with gastric bypass being more effective than sleeve gastrectomy

Gastric Band Removal in Revisional Bariatric Surgery, One-Step Versus Two-Step: a Systematic Review and Meta-analysis

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