New South Wales outbreak paths update for 3 July 2021:
Inspired by the very informative work of @dbRaevn, a dataviz of the paths of infection, for the current COVID-19 outbreak.
Interactive dataviz, data and source code available here:
github.com/Mike-Honey/covid-…
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Thanks @Mike_Honey_ and @dbRaevn you've visualised the outbreak nicely. Outbreak management looks now at critical issue of % cases not in isolation. Visualising this would be helpful as I'd like to show it at a data conference - giving all credit to both of you
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Unfortunately except when specific cases are called out, we only get told the sum total of cases in a day that were isolating, not which cases, so I can't indicate them on the map. However, @juliette_io does chart these numbers over time to see the trend:
Seems green was the right colour for this chart
Gladys says more cases in quarantine / isolation during infectious period show there are 'green shoots' in controlling outbreak🌱
Saturday: (+35)
🏠Yes: 23
🐦No: 9
🏃♂️In part: 3
#covid19aus #covidnsw #covid19nsw #COVID19Vic
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thanks I've been following this purple group since the beginning as its critical. I have your link and @Mike_Honey_ and will show this to the conference on how outbreak epi has advanced from 'line list' and 'spot maps' 😆
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Singapore publishes daily epidemiology reports that include individual case numbers & links (see p5 example 3 July: moh.gov.sg/docs/librariespro…).
Daily! The level of basic data provided puts Australia to shame.
Can't we, or won't we, provide these details? #covidaus
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Indeed. Data could be improved by simply date case number isolation eg 4Jul274NI (not in isolation) and mesh locator. Check out Po-Shen Loh’s app uses voluntary data entry by case then uses social network of case to inform users of degree of closeness to case.
Jul 4, 2021 · 4:09 AM UTC
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