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jeni10

Where to find statistics on UK deaths involving the coronavirus (COVID-19) and infectio... - 0 views

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    a list of datasets from the ONS
fionntan

GitHub - reichlab/covid19-forecast-hub: Projections of COVID-19, in standardized format - 0 views

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    The goal of this repository is to create a standardized set of data on forecasts from teams making projections of cumulative and incident deaths and incident hospitalizations due to COVID-19 in the United States.
fionntan

Coronavirus Models Are Nearing Consensus, but Reopening Could Throw Them Off Again - 0 views

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    The researchers say that they are getting better at understanding the dynamics of the pandemic as Americans largely shelter in place, and that improved knowledge may explain the growing consensus of the models. The near-term future of the pandemic is also a little easier to imagine, with deaths flattening instead of growing rapidly. There may be some peer pressure, too. Nicholas Reich, a biostatistician at the University of Massachusetts who has led a project to standardize and compare model outputs, said he worried about the temptation to "herd" outputs. "Probably no one wants to have the really super-outlying low model or the super-outlying high model," he said.
Ben Snaith

'Immunity passports' in the context of COVID-19 - 0 views

  • At this point in the pandemic, there is not enough evidence about the effectiveness of antibody-mediated immunity to guarantee the accuracy of an “immunity passport” or “risk-free certificate.” People who assume that they are immune to a second infection because they have received a positive test result may ignore public health advice. The use of such certificates may therefore increase the risks of continued transmission. As new evidence becomes available, WHO will update this scientific brief.
Ben Snaith

Digital immunity passport 'the lesser of two evils,' says UK startup boss - POLITICO - 0 views

  • The idea behind so-called digital “passports” is that they would allow people who have recovered from the coronavirus to signal their immunity and thus move around freely, enabling economies to open up. But there are fears such a system, which is at a preliminary stage of discussion with the developer, could lead to discrimination, create perverse incentives to get infected, and violate privacy.
  • The scheme also relies on reliable antibody testing and enough kits for large-scale testing — neither of which exist, yet. Not to mention that health experts don’t know whether immunity to the coronavirus even exists and, if it does, how long it lasts. In late April, the World Health Organisation (WHO) warned against a passport scheme on the basis that “there is currently no evidence that people who have recovered from Covid-19 and have antibodies are protected from a second infection.”
  • Onfido’s technology would work by first verifying someone’s identity — by comparing a picture or video of their face against a picture of their identity card — and then linking that to a coronavirus test result. People would then be able to bring up a QR code on an app or a browser signalling their immunity status just by taking a picture of their face.
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  • As to privacy, Kassai says data in Onfido's system would be stored on “a private server for an individual,” that can only be accessed with the user's face. "No private business, no government should really be, there's no need for them to hold your personal data. You as a consumer should," he says.
Ben Snaith

Which Covid-19 Data Can You Trust? - 2 views

  • In a crisis situation like the one we are in, data can be an essential tool for crafting responses, allocating resources, measuring the effectiveness of interventions, such as social distancing, and telling us when we might reopen economies. However, incomplete or incorrect data can also muddy the waters, obscuring important nuances within communities, ignoring important factors such as socioeconomic realities, and creating false senses of panic or safety, not to mention other harms such as needlessly exposing private information.
  • Unfortunately, many of these technological solutions — however well intended — do not provide the clear picture they purport to. In many cases, there is insufficient engagement with subject-matter experts, such as epidemiologists who specialize in modeling the spread of infectious diseases or front-line clinicians who can help prioritize needs. But because technology and telecom companies have greater access to mobile device data, enormous financial resources, and larger teams of data scientists, than academic researchers do, their data products are being rolled out at a higher volume than high quality studies.
  • To some extent, all data risk breaching the privacy of individual or group identities, but publishing scorecards for specific neighborhoods risks shaming or punishing communities, while ignoring the socioeconomic realities of people’s lives that make it difficult for them to stay home.
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  • Even more granular examples, such as footfalls at identifiable business locations, risks de-identifying religious groups; patients visiting cancer hospitals, HIV clinics, or reproductive health clinics; or those seeking public assistance. The medical and public health communities long ago deemed the un-masking of such information without consent unacceptable, but companies have recently been releasing it on publicly available dashboards.
  • Until we know more about how these changing movement patterns impact epidemiological aspects of the disease, we should use these data with caution.
  • Simply presenting them, or interpreting them without a proper contextual understanding, could inadvertently lead to imposing or relaxing restrictions on lives and livelihoods, based on incomplete information.
  • In the absence of a tightly coupled testing and treatment plan, however, these apps risk either providing false reassurance to communities where infectious but asymptomatic individuals can continue to spread disease, or requiring an unreasonably large number of people to quarantine. The behavioral response of the population to these apps is therefore unknown and likely to vary significantly across societies.
  • Some contact-tracing apps follow black-box algorithms, which preclude the global community of scientists from refining them or adopting them elsewhere. These non-transparent, un-validated interventions — which are now being rolled out (or rolled back) in countries such as China, India, Israel and Vietnam — are in direct contravention to the open cross-border collaboration that scientists have adopted to address the Covid-19 pandemic.
  • pidemiological models that can help predict the burden and pattern of spread of Covid-19 rely on a number of parameters that are, as yet, wildly uncertain. We still lack many of the basic facts about this disease, including how many people have symptoms, whether people who have been infected are immune to reinfection, and — crucially — how many people have been infected so far. In the absence of reliable virological testing data, we cannot fit models accurately, or know confidently what the future of this epidemic will look like for all these reasons, and yet numbers are being presented to governments and the public with the appearance of certainty
  • Telenor, the Norwegian telco giant has led the way in responsible use of aggregated mobility data from cell phone tower records. Its data have been used, in close collaboration with scientists and local practitioners, to model, predict, and respond to outbreaks around the world. Telenor has openly published its methods and provided technological guidance on how telco data can be used in public health emergencies in a responsible, anonymized format that does not risk de-identification.
  • The Covid-19 Mobility Data Network, of which we are part, comprises a voluntary collaboration of epidemiologists from around the world analyzes aggregated data from technology companies to provide daily insights to city and state officials from California to Dhaka, Bangladesh.
Ben Snaith

Reports to help combat COVID-19 - The Keyword - 0 views

  • For example, this information could help officials understand changes in essential trips that can shape recommendations on business hours or inform delivery service offerings.
  • Ultimately, understanding not only whether people are traveling, but also trends in destinations, can help officials design guidance to protect public health and essential needs of communities.
  • The Community Mobility Reports are powered by the same world-class anonymization technology that we use in our products every day. For these reports, we use differential privacy, which adds artificial noise to our datasets enabling high quality results without identifying any individual person. 
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  • The insights are created with aggregated, anonymized sets of data from users who have turned on the Location History setting, which is off by default.
Ben Snaith

Covid-19 UK Mobility Project - 1 views

  • These reports are based on similar analysis carried out on Italian data Pepe E. et al. 2020 and US data Klein B. et al. 2020. We aim to provide and assess the changes in commuting and mobility at local authority level across UK during the COVID-19 health crisis.
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    apologies for the obnoxiously sized images
Ben Snaith

Britons want quality of life indicators to take priority over economy | Society | The G... - 0 views

  • A YouGov poll has found eight out of 10 people would prefer the government to prioritise health and wellbeing over economic growth during the coronavirus crisis, and six in 10 would still want the government to pursue health and wellbeing ahead of growth after the pandemic has subsided, though nearly a third would prioritise the economy instead at that point.
  • The focus on GDP means economic growth can take place at the expense of the environment, and people’s quality of life, without any of the resulting damages ever being taken into account, the report argues. That in turn encourages ministers and officials to seek ways of raising the GDP figures, even if rising nominal growth is accompanied by environmental degradation, worsening health, poor educational attainment and increasing poverty.
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