diff --git a/bad-pres.md b/bad-pres.md new file mode 100644 index 0000000..bee1aff --- /dev/null +++ b/bad-pres.md @@ -0,0 +1,41 @@ +1: +* Way too much text +* Just reading the presentation +* Monotone +* Speeding through it +* Limit use of lego in diagrams + +2: +* Not explaining the diagram (which is confusing) + +3: +* Maybe you're meant to discuss your references +* Also put them at the end + +4: +* Waste of space +* Shit animations + +5: +* No jokes +* No cats + +6: +* Stealing slides +* Terrible formatting (Can't read text) + +7: +* Can't answer any Qs + +General notes: +* You'll be marked on the slides, so make sure to include all information (just don't make it too dense) +* End with key points of the presentation, don't just ask for questions +* Proofread/do a test presentation +* Eyecontact, or just keep your camera on + +References: +* Put them on the relevant slide, or right at the end (after conclusion and Qs) +* Use Leeds Harvard, or Leeds numeric + +Other useful stuff: +* Google Scholar diff --git a/close-contact.md b/close-contact.md new file mode 100644 index 0000000..88058d0 --- /dev/null +++ b/close-contact.md @@ -0,0 +1,17 @@ +[Relevant paper](https://covid19.nhs.uk/risk-scoring-algorithm.html), and [Summary article](https://faq.covid19.nhs.uk/article/KA-01159/en-us) + +* "Close contact" is generally summarised as being within 2m of the subject for > 15 minutes, but is actually based on an algorithm + * Upon agreeing to share the contact data collected by the app, data is given to Google/Apple API + * The user provides a date when they first noticed COVID-19 symptoms (if this was not already given), which is used to estimate their level of infectiousness on each day from 2 days before onset to 10 days after. It is higher closer to the onset. + * Data includes the signal strength between each device, which is measured on average every 3.6 minutes, stored and then transmitted to the other device + * Signal strength can be affected by external factors (location of phone on body, rf environment, etc.), so distance cannot be calculated exactly + * Each device now has its own and the other's strength measurements, which it uses to estimate a distance + * Using this set of measurements over time, the device calculates a "risk score" using these distance estimates: + * ( (Total time spent within 1 metre) + Sum( (Time spent within 1 metre or further) / (Distance^2) ) ) * ( Est. level of infectiousness on the day of the encounter ) + * The threshold "risk score" is defined to produce results similar to the 2 metre 15 minute rule + * If a contact crossed this threshold, they are notified + * The risk level was transmitted as "Low", "Standard" or "High", although in more recent versions of GAEN API, Low has changed to None. + + + +* Later versions of GAEN (Google/Apple Exposure Notifications) (>=1.6) and subsequently newer versions of NHS app added a REVOKED close contact report type, which denotes that previous close contact reports related to a users key can be discarded, for example if a user self-reported positive but PCR'ed negative. ([source](https://developers.google.com/android/exposure-notifications/exposure-notifications-api#data-structures), see "reportType" atrribute in "TemporaryExposureKey" class) diff --git a/covid19-app-system-public b/covid19-app-system-public new file mode 160000 index 0000000..aa949bb --- /dev/null +++ b/covid19-app-system-public @@ -0,0 +1 @@ +Subproject commit aa949bbf26dc15b169d4fe215a41160d29d945b0 diff --git a/privacy.md b/privacy.md new file mode 100644 index 0000000..1636343 --- /dev/null +++ b/privacy.md @@ -0,0 +1,3 @@ +* Contact tracing data is only shared if one chooses to when they test positive +* The app's source code is publicly available ([github](https://github.com/nihp-public/covid19-app-system-public)), and a vulnerability exposure program has been set up ([here](https://hackerone.com/nhscovid19app?type=team)) + * Source available doesn't mean app is secure, but can mean vulnerabilites are found more quickly diff --git a/stats.md b/stats.md new file mode 100644 index 0000000..5ad05a9 --- /dev/null +++ b/stats.md @@ -0,0 +1,6 @@ +--* A mean number of 4.2 notifications were sent per user who tested positive and accepted contact tracing-- + +* As of 6th October 2021, ~6.9 million contact tracing alerts have been sent ([from NHS](https://stats.app.covid19.nhs.uk/#contact-tracing-alerts), "Number of contact tracing alerts sent (England)") with ~2.1 million positive tests reported in app (same link, "Number of test results linked to the app (England)", "Total positive test results") + * Therefore, notifications were sent to, on average, roughly 3 people who came into 'close contact' with a person who tested positive and reported it. + +