Fascinating to hear about the genesis, implementation, & development of the NHS coronavirus dashboard by @Pouriaaa at the #RadStats conference.
@RadicalStats
Where we are now...!

#RadStats
It's far from a simple process, and is not just a gigantic Excel file...!!

#RadStats
Nor is it just a matter of adding a few new numbers each day...

...uses 90 computers!

#RadStats
An awful lot of thought goes into how the data are displayed & described...

...it's a continuing process, with user research, &c.

#RadStats
Not least accessibility...

(...which they certainly don't approach as a simple box-ticking exercise)

#RadStats
It's a true, live, public service...!!

#RadStats
OpenData has its advantages and disadvantages...

#RadStats
"A million armchair specialists doing QA for us"!!

#RadStats
And it's broadcast to the nation within minutes of upload...

#RadStats
They are sanguine about the (ab)uses made of the data by others...

...& learn from mistakes.

#RadStats
Many data sources are complex to wrangle & reconcile...

...e.g. deaths—50 relevant metrics to consider!

#Radstats
But their meticulousness, openness & responsiveness to the public engenders trust...

#Radstats
No-one can do it all, but others adapt the data really well, e.g. below:

#Radstats
Collaboration engendered by this open, trusted approach...

#Radstats
And people use for for many reasons...

..."It has material impact on people's daily activities"

#Radstats
And all the software is open source...

#Radstats
Many lessons for the future...

..."More important to do things fast, than to do them nice".

Someone needs to have the final say about how things are done, at the time. Decisions have to be made.

Need expertise in handling large volumes of data in (near) real time.

#Radstats
"It's just good luck that this happened—a few people in the right place at the right time"

NB Many people have made this possible by contributions.

#Radstats
@Pouriaaa has shown just how complex the process is of garnering, collating, quality controlling and displaying all this data — and in near real time...

...big shout out to him and @statsgeekclare & team!!

#Radstats
Now on to session three...

#Radstats
Dr Jennifer Badham on modelling COVID-19 responsewith local planners

#Radstats
The dramatis personae in the local resilience forum...!

#Radstats
How it started...

#Radstats
Background theory...

...data-oriented cf process-oriented models.

#Radstats
What is 'agent-based modelling'...?

...involves people interacting with their environments, then simulates these different interactions.

#Radstats
Building the ABM model

#Radstats
Demonstration of the model on a video clip...

#Radstats
Three elements in model:
1. epidemic state
2. transmission process
3. policy options

#Radstats
Sorry, lost a tweet I'd written about the three elements of the model!

#Radstats
The initial use in March 2020, demonstates levels of uncertainties...

#Radstats
By June (other events occurred!) and the model began to be used for answering specific questions...

...both by modellers and by local decision-makers.

#Radstats
Also allowed horizon-scanning with a variety of 'what if' cases...

#Radstats
By October, more data, impending lockdown meant model could be and needed to be
modified, with better predicition of hospitalisation risks.

#Radstats
In Novemeber the model became embedded in the Durham council dashboard...

...different asumptions with their outcomes shown

#Radstats
In December, discrepancy became evident that hadn't been noticed before

#Radstats
In January, new variant, people's reduced activitiy, & immunisations necessitated adjustments to model.

#Radstats
Late January, Durham (blue) & Yorkshire (red) data showed distinct differences...

#Radstats
Reflections:
1) No model is 'right', they do different things.
2) More potential improvements identified

#Radstats
NB both direct and indirect decision support are enhanced by this process—e.g. making assumptions explicit

#Radstats
The concept of 'justified stories' creating a coherent narrative around the data & assumptions...

#Radstats
Conclusions...

NB all available via Jen's GitHub

#Radstats
Session 4 starting now

Mike Sandys (Director of Public Health for Leicestershire CC) on How a Director of Public Health has engaged with data during COVID and what issues have been experienced

#Radstats
Leicestershire's experience of COVID-19

#Radstats
Leicestershire's 3 stages of data:
1) national lockdown #1 - little data
2) local restricition - dawn of decent data
3) second lockdown - data +++

#Radstats
First phase: only a vague snapshot of the true picture...

...much fear because of lack of data.

Deaths largely located around local care homes.

#Radstats
By June, as data started becoming more available, better understanding of the situation developed, allowed better comms...

...but decisions influenced by central govenment's announcements.

#Radstats
The local population couldn't be briefed about why the decisions were made, hence much restiveness...

...public engagement did have some positive effects

#Radstats
Soon, as more data became avaialble, the disparity between cases in the community & hospital became clear & could be communicated to the public...

...good data allow pre-emptive comms, which is invaluable to support the public's understanding, engagement & response.

#Radstats
The current situation—data++...

...triangulating many channels of data (sewage data, heat maps, activity/exposure data, &c), both formal & informal.

#Radstats
Reflections on latest phase:
- really useful (incl qual) data available now

#Radstats
Major developments, both in team, locality & public...

..should we teach children better stats!!

#Radstats
Next presentation:

Andrei Morgan on The impact of the Coronavirus pandemic on perinatal activity

#Radstats
Title slide

#Radstats
...and acknowledgements

#Radstats
Re EMBRACE inter-hospital neonatal (& in utero) transfer system, which covers 15 NHS trusts (~20 hospitals)

#Radstats
Trigger - two studies on reduced pre-term births & increased stillbirths during pandemic...

..wanted to investigate this

#Radstats
Demographic & geographic background...

...and data sources considered.

#Radstats
However not all data sources available or complete, therefore only option was to approach all the relevant hospitals...

...and the items of data sought were set out.

#Radstats
Huge difficulty getting the data from trusts...

...black entries on second pic = missing data item

#Radstats
Could use multiple imputation (i.e. assume missing data by other data patterns) but may potential pitfalls—allowing bias— with this...

...didn't work!

#Radstats
When looking only at 2020 in detail, wrt lockdown, no obvious pattern was identified re stillbirths & pre-term births...

#Radstats
Many caveats...

...but other studies from around the worls seem to concur—no obvious impact of pandemic on this issue.

#Radstats
What next...

...more detailed data needed, but:
- prob no great link between SARS-CoV-2
- subtle behaviour changes may be occurring
- will take time
- watch this space!

NB
1) data cleaning vital
2) data collection is hard
3) silos hinder!

#Radstats
Now Session 5

Ted Schrecker on Health inequality in a post-pandemic world: the real grand challenges

#Radstats
Title slide & introduction...

...mainly focusing on US & Uk (& a little on Canada), & alluding to the 'Gate's grandes challenge' in public health

#Radstats
Background - Halimi's 'inequality machine reshaping the planet'...

...and how we might 'build back better' post pandemic.

#Radstats
A schematic of the model envisaged by the speaker, re differential exposures, opportunities, vulnerabilities & consequences to the infection.

#Radstats
Rising inequalities in the UK & US, pre-pandemic..

#Radstats
More examples...

...augmented by austerity, & drainage of resources from local authorities.

#Radstats
This was not un-commented on—see @MichaelMarmot & @richardhorton1, for examples, among others...

#Radstats
Warning signals evident...

...Chicago has the widest intra-city health inequality in USA, & 'deaths of despair'.

#Radstats
Many causes, incl...
- de-industrialization
-corporate crime

#Radstats
We new a pandemic would come...

...but forgot it would hit the most deprived, the most.

#Radstats
Across countries, and by work and race...

#Radstats
We know economic crises exacerbate inequality...

#Radstats
Although rescue measures will blunt the pandemic's effects in the short term, the imact in the long term will be massive...

#Radstats
Key concept in this is 'risk contagion' (Thelen, 2019)...

...problems in one domain trigger problems in others.

#Radstats
An example of this intersection of risk...

...with rising hunger in US & UK.

#Radstats
With impact on work, too...

#Radstats
With no to pitiful sick leave/pay in US & UK...

#Radstats
'Not everyone has lost out from the pandemic...'

#Radstats
...and again.

#Radstats
'The deterioration of democracy...'

#Radstats
How might we build back better...?

...four scenarios:

#Radstats
1. rapid growth rebound*
2. stagnation*
3. economic/health collapse (like post-USSR)*
4. equity-oriented redevelopment strategy

[*with ⬆ inequality]

#Radstats
Now Q&As....

#Radstats
Concluding Session starting in about 5 mins...

After COVID – Where now for Radical Statistics?

#Radstats
I have to leave now, but thanks, #Radstats, for a fascinating day's content! 👍🙂

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5 May 20
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(an excellent, if a little technical, review of how doctors should assess patients with suspected Covid-19) 2/n
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3/n
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#CochraneInspires
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#CochraneInspires
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