Tweets Analysis - Keyword: @adamjkucharski
Overview
Total number of tweets analysed
123
Earliest tweet was on
2023-02-18
Latest tweet was on
2023-02-28
Tweets covering
9 days
Average age of authors' accounts
8 years
Summarization
The tweets cover a range of topics including upcoming book releases, events, transmission of viruses, measles modeling, and hospitalization rates due to repeated infections. The tweets feature various experts in the field such as @TimHarford, @Ananyo, @d_spiegel, and @TomChivers among others. The discussion also covers topics such as waning time, AB titers, and vaccination. The tweets reflect a diverse range of perspectives and worldviews on the COVID-19 pandemic and its ramifications.
Topic Modeling
- Discussion on disease transmission and control
- Role of vaccines and immunity
- The impact and future of Covid-19
- Book promotion and events
- Data analysis and modeling
Emotional Analysis
The tweets express a range of emotions including admiration for books, concern about the future of pandemics and the impact of rapid repeat infections, discussions about data and modeling, disappointment over the availability of wifi on flights, excitement about events and book signings, and anxiety about the potential hospitalizations and long-term effects of COVID-19. There are also expressions of interest and engagement in the topics discussed.
Trend Analysis
- Discussion of mathematical models and disease spread
- Promotion and discussion of books on numbers and pandemics
- Debate on future pandemic outcomes and hospitalization rates
- Events and talks related to pandemics and disease prevention
- Discussions of vaccination and immunity, including waning and protection against severe disease
Types of Tweets
Number of Retweets
33
Percentage of total tweets
26%
Number of Original tweets
3
Percentage of total tweets
2%
Number of tweets that contain Mentions
123
Percentage of total tweets
100%
Number of tweets that were Replies
86
Percentage of total tweets
69%
Number of tweets that were Quotes
14
Percentage of total tweets
11%
Number of tweets that contain Hashtags
3
Percentage of total tweets
2%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 53 |
| Twitter for iPhone | 48 |
| Twitter for Android | 21 |
| Twitter for iPad | 1 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| cmyeaton | Caitlin Rivers | Infectious disease epidemiologist @JHSPH_CHS. Writing about outbreaks and public health at https://t.co/6KMmlVUsTs | 197,818 |
| adamjkucharski | Adam Kucharski | Co-director @LSHTM_CEPR. @WellcomeTrust fellow and @TEDFellow. Author of The Rules of Contagion. Views own. @adamjkucharski@med-mastodon.com | 146,666 |
| rahmstorf | Stefan Rahmstorf ๐ fediscience.org/@rahmstorf ๐ฆฃ | Head of Earth System Analysis @ Potsdam Institute for Climate Impact Research & professor of Physics of the Oceans @ Potsdam University. Dad. Opinions my own! | 142,812 |
| VictimOfMaths | Colin Angus | Alcohol policy modeller in @sarg_scharr @sheffielduni | Health inequalities | COVID-19 | Data visualisation | RStats | Cake | Cycling | Pedantry | Birds | 21,097 |
| JATetro | Jason ๐ป๐๐ ๐ฎ๐๐๐ ๐ฎ๐๐ Tetro | Hosts 2X award winner Super Awesome Science Show. 30+yrs micro/immuno research. Wrote The Germ Code & The Germ Files. Writes screen/marketing. Fights infodemic. | 13,498 |
| LeahButlerSmith | Leah Butler-Smith ~ check your moral compass | Shadow Banned Enhanced Life strategist. Trauma Therapist.Say NO to WEF - Have Hope for Humanity. Podcast Host: https://t.co/ZICJvTqXAO, https://t.co/LEWgWWbVN4 | 13,375 |
| HungLee | Hung Lee | Curator, Recruiting Brainfood | 10,589 |
| crwequine | Cindy Wilinski | Basic Researcher (IL-22 primarily) NO political affiliations, theyโre all incompetent. #autistic #mcs #leukinlab Opinions are my own. | 9,635 |
| DavidJoffe64 | David Joffe PhD, FRACP ๐ฆ๐บ | Respiratory Physician with expertise in NIV Sleep and Respiratory Failure. Visiting Medical Officer. Intelligence Group Respiratory ACI. | 8,660 |
| kkelland | Kate Kelland | Chief Scientific Writer at CEPI. Mother of two. Ultrarunner. Triathlete. Ironman finisher in 11:19:13. Likes: hard work; asking questions; learning new things. | 5,718 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| JATetro | Jason ๐ป๐๐ ๐ฎ๐๐๐ ๐ฎ๐๐ Tetro | Hosts 2X award winner Super Awesome Science Show. 30+yrs micro/immuno research. Wrote The Germ Code & The Germ Files. Writes screen/marketing. Fights infodemic. | 7,195 |
| crwequine | Cindy Wilinski | Basic Researcher (IL-22 primarily) NO political affiliations, theyโre all incompetent. #autistic #mcs #leukinlab Opinions are my own. | 6,823 |
| Butterworthy | Trevor Butterworth | Cofounder, VP Communications & Governance @indicioID, digital identity; adj. lecturer in #scicomm, TBSI, Trinity College Dublin; Irish/American/USA/IRL | 5,051 |
| _PH___PH_ | PH ๐ฑ__๐ท 124+ ๐ AUS weekly deaths COVID-19 | ๐ 2050 is too late ๐ itโs a climate + biodiversity EMERGENCY ๐ฆ SARS-CoV-2 is in the AIR: ventilate/HEPA #BetterMasks ๐ท #ZeroCovid ๐ฑ | 5,001 |
| CarlosDPonciano | Carlos Domรญnguez P. | Docente Enseรฑanza Pรบblica (Psicopedagogรญa) GVA | 4,983 |
| heyemmahey | emma schwartz | founder of yall (ig) New Products @meta @facebook ๐ณ๏ธโ๐ Previously VP Product @meetup & @axios | 4,955 |
| AbundantLandUse | Abundant Pedestrian Sheds | Efficient land use (= equity) can be achieved with tools that enhance competitions, not just zoning reform.(I'm here to learn, and I only block back) | 4,913 |
| OldratEssex | Karen Watson @KarenWatson@mastodonapp.uk | First they came for the protestors and I did nothing then they came for the journalists and nobody knew who they came for after that | 3,462 |
| DiMooz | DiMooz | - | 3,414 |
| HungLee | Hung Lee | Curator, Recruiting Brainfood | 2,913 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| arijitchakrav | Biologist who knows some math, working in pharma R&D. Day job-helping companies make drugs more efficiently. Night โjobโ- publishing on covid. (he/him) | 12 |
| MarvinH2_G2 | I have a defective personality module. | 12 |
| TheWatchdogDBQ | LIKES: facts, science, civil debate, and free speech DISLIKES: media bias BLOCKS: only for rudeness & profanity | 5 |
| pratikunterwegs | Building tools for pandemic preparedness @LSHTM in the Epiverse Initiative. PhD in eco-evo from @univgroningen; R, data, and former bird botherer. | 4 |
| holyZarquon_ | Top life moments: getting a 1st in Psychology and another in Social Work. lowest: withdrawing from doing a PhD in psychology because of poor MH. #NDPH 9 years+ | 4 |
| Kent_Cyclist | Bioanalytical chemist, cycling campaigner (formerly based in Chester) now back in Kent. Cycling UK, Spokes member. Route planner for Le Tour de Sandwich. | 4 |
| VictimOfMaths | Alcohol policy modeller in @sarg_scharr @sheffielduni | Health inequalities | COVID-19 | Data visualisation | RStats | Cake | Cycling | Pedantry | Birds | 4 |
| HarrySpoelstra | CardioVascular Surgeon, international clinical research, spin-offs, peer-Reviewer, globetrotter, #covididiots/insults =instant block, KIWI | 4 |
| DavidJoffe64 | Respiratory Physician with expertise in NIV Sleep and Respiratory Failure. Visiting Medical Officer. Intelligence Group Respiratory ACI. | 3 |
| wokabaut_meri | Happiest with a backpack in the wilderness Love hills and the odd trip on 2 wheels Longterm Mac tragic Artist Designer Biodynamic Gardener Dog Trainer Poet | 2 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1629057577072951296 | ๐ซEVENT๐ซ What does a future free from pandemics look like and how can we get there? Join Disease X author @kkelland in conversation with @adamjkucharski ๐๏ธ8 March โฐ17:30 - 18:30 GMT ๐In-person at LSHTM Find out more ๐ https://t.co/oCZkHUdyMz https://t.co/JnyGtZUJ1r | 14 |
| 1627689389672304642 | Beautiful hardbacks in of Numbercrunch by @BristOliver showing the resplendence of numbers, made even more radiant with words from @TimHarford, @Ananyo, @d_spiegel, @TomChivers, @adamjkucharski, @Soccermatics and @whippletom. In bookshops next week - available to pre-order now. https://t.co/A9tQZQDxfA | 6 |
| 1630248577472823297 | Come and join me and @adamjkucharski for this event at @LSHTM_CEPR next week. I'll also be signing copies of DISEASE X - The 100 Days Mission to End Pandemics https://t.co/F4j0Yuq9Jj | 5 |
| 1630050611386552321 | New pre-print out (see below). An interesting dilemma arises where the optimal population intervention may require enhanced transmission in some subgroups.@j_mccaw @CamZachreson @emma_mcbryde @TAH_Sci @mert0248 @rozeggo @adamjkucharski @mlipsitch @bencowling88 https://t.co/I7oYfbdy8n | 4 |
| 1628875903907266561 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave Results by @adamjkucharski at LSHTM reproduced my endemic equilibrium. In addition to my reproducing the original paper by Ira Schwartz, who I contacted.So I'm very confident the results are solid - they've been cross checked various ways.https://t.co/lTUtbCRXeY | 3 |
| 1628893904048193536 | @HarrySpoelstra @DavidJoffe64 @ejustin46 @MeetJess @white_bite @xabitron1 @C_A_Gustave @adamjkucharski HOWEVER: biggest question of our day is how does IFR (& long covid + other risk) evolve over multiple infections.Does it go down to near zero & how rapidly?Because that will dictate what fraction of society become hosp, disabled, killed long term.1/2+1/4+1/8+1/16 ... = 1 | 2 |
| 1628891308554084357 | @HarrySpoelstra @DavidJoffe64 @ejustin46 @MeetJess @white_bite @xabitron1 @C_A_Gustave @adamjkucharski This is likely the "Great Hope" of infectophilesThat we can take repeat infection without huge hospitalisation ratesFend for ourselves, once weak are weeded outGiven immune recovery needed, rapid repeat infections & long covid + other burdens, I don't think future is pretty | 2 |
| 1628876792349052933 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave @adamjkucharski A final interesting result was to show in the limit of high R0: SEASONALITY DISAPPEARS.Waning time only dominates when you get infected -- and how many are infected at a time.You just get infected as soon as you wane.No summer respite. | 2 |
| 1628900976978546688 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave @adamjkucharski Some real (UK) data on number infected at any given time.https://t.co/We6M9KTVfF | 2 |
| 1628882941215494145 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave @adamjkucharski For measles, onset to chaos can be explainedSource of "S"usceptible is births if no waningNeed to build up "S" kids so Reff >1 & burn up S pool.Birth rate interacts w seasonality & can multiply the period to build up poolRapid (<1year) waning kills this & waning dominates | 1 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1627689389672304642 | Beautiful hardbacks in of Numbercrunch by @BristOliver showing the resplendence of numbers, made even more radiant with words from @TimHarford, @Ananyo, @d_spiegel, @TomChivers, @adamjkucharski, @Soccermatics and @whippletom. In bookshops next week - available to pre-order now. https://t.co/A9tQZQDxfA | 20 |
| 1629057577072951296 | ๐ซEVENT๐ซ What does a future free from pandemics look like and how can we get there? Join Disease X author @kkelland in conversation with @adamjkucharski ๐๏ธ8 March โฐ17:30 - 18:30 GMT ๐In-person at LSHTM Find out more ๐ https://t.co/oCZkHUdyMz https://t.co/JnyGtZUJ1r | 20 |
| 1628891308554084357 | @HarrySpoelstra @DavidJoffe64 @ejustin46 @MeetJess @white_bite @xabitron1 @C_A_Gustave @adamjkucharski This is likely the "Great Hope" of infectophilesThat we can take repeat infection without huge hospitalisation ratesFend for ourselves, once weak are weeded outGiven immune recovery needed, rapid repeat infections & long covid + other burdens, I don't think future is pretty | 17 |
| 1628876792349052933 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave @adamjkucharski A final interesting result was to show in the limit of high R0: SEASONALITY DISAPPEARS.Waning time only dominates when you get infected -- and how many are infected at a time.You just get infected as soon as you wane.No summer respite. | 14 |
| 1628875903907266561 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave Results by @adamjkucharski at LSHTM reproduced my endemic equilibrium. In addition to my reproducing the original paper by Ira Schwartz, who I contacted.So I'm very confident the results are solid - they've been cross checked various ways.https://t.co/lTUtbCRXeY | 11 |
| 1630050611386552321 | New pre-print out (see below). An interesting dilemma arises where the optimal population intervention may require enhanced transmission in some subgroups.@j_mccaw @CamZachreson @emma_mcbryde @TAH_Sci @mert0248 @rozeggo @adamjkucharski @mlipsitch @bencowling88 https://t.co/I7oYfbdy8n | 11 |
| 1628882941215494145 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave @adamjkucharski For measles, onset to chaos can be explainedSource of "S"usceptible is births if no waningNeed to build up "S" kids so Reff >1 & burn up S pool.Birth rate interacts w seasonality & can multiply the period to build up poolRapid (<1year) waning kills this & waning dominates | 9 |
| 1628900976978546688 | @DavidJoffe64 @ejustin46 @MeetJess @white_bite @HarrySpoelstra @xabitron1 @C_A_Gustave @adamjkucharski Some real (UK) data on number infected at any given time.https://t.co/We6M9KTVfF | 8 |
| 1628890377150136323 | @HarrySpoelstra @DavidJoffe64 @ejustin46 @MeetJess @white_bite @xabitron1 @C_A_Gustave @adamjkucharski Dictated by memory (B) cells, on which you will know more than meTake around 5 days to proliferate and dump an AB counter-attack.Given incubation <2 days for current covid, doesn't stop symptomatic infection/transmission but WILL reduce severe & hospitalisation. | 7 |
| 1628068393533288454 | @adamjkucharski @VikiLovesFACS I feel unexpectedly disappointed that wifi is now common and increasingly free on flights, for this reason. | 7 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #weekendwork | 1 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @adamjkucharski | 123 |
| @ejustin46 | 25 |
| @meetjess | 25 |
| @xabitron1 | 25 |
| @c_a_gustave | 25 |
| @davidjoffe64 | 24 |
| @white_bite | 24 |
| @harryspoelstra | 21 |
| @cb_hagen | 16 |
| @marvinh2_g2 | 13 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
17
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| ๐ซ | 4 | dizzy |
| ๐ | 2 | thumbs_up |
| ๐๏ธ | 2 | spiral_calendar |
| โฐ | 2 | alarm_clock |
| ๐ | 2 | round_pushpin |
| ๐ | 2 | backhand_index_pointing_right |
| ๐ | 1 | disappointed_face |
| ๐ | 1 | backhand_index_pointing_down |
| ๐ฐ | 1 | anxious_face_with_sweat |
| ๐ค | 1 | thinking_face |
Emojis groups
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 11 |
| People & Body | 5 |
| Objects | 4 |
| Travel & Places | 2 |