Tweets Analysis - Keyword: @IHME_UW
Overview
Total number of tweets analysed
244
Earliest tweet was on
2023-02-11
Latest tweet was on
2023-02-21
Tweets covering
9 days
Average age of authors' accounts
8 years
Summarization
The team from the Institute for Health Metrics and Evaluation (IHME) conducted a graph-based study comparing vaccine and infection for different outcomes for a 3-year period, finding that natural infection leads to strong protection from hospitalization/death. The research was met with criticism (via five concern letters to The Lancet) on inconsistencies, disagreements, and implausible findings. Other research indicated that with each COVID-19 infection, the risk increases, as well as the high rate of community transmission. Vaccination is deemed the safest route to immunity, though natural immunity has its benefits as well regarding T and B cells protecting against severe illness.
Topic Modeling
- Vaccination vs Natural Infection
- Studies, Scientific Discourse and Criticism
- Immunity and Infection Protection
- Data Analysis and Modeling
- Global Health and Diseases
Emotional Analysis
The emotions expressed in these tweets range from appreciation to disappointment and frustration. The authors of the tweets express appreciation for the work of the IHME_UW team and The Lancet, as well as disappointment with the team's refusal to engage with reasonable criticism. Additionally, some of the tweets express frustration with the lack of reporting on air pollution and the refusal to acknowledge natural immunity. Overall, the tweets reflect a range of emotions related to the work of the IHME_UW team and the need for public health policies to evolve to reflect the increasing levels of immunity to COVID-19.
Trend Analysis
- Vaccination and Natural Immunity
- Excess Deaths and Implausible Results
- COVID-19 Infection and Protection
- Burden of Different Diseases
- Air Pollution and Public Health
Types of Tweets
Number of Retweets
83
Percentage of total tweets
34%
Number of Original tweets
25
Percentage of total tweets
10%
Number of tweets that contain Mentions
244
Percentage of total tweets
100%
Number of tweets that were Replies
126
Percentage of total tweets
51%
Number of tweets that were Quotes
38
Percentage of total tweets
15%
Number of tweets that contain Hashtags
41
Percentage of total tweets
16%
Top 5 devices used to tweet
| Source | Count |
|---|---|
| Twitter Web App | 125 |
| Twitter for iPhone | 50 |
| Twitter for Android | 45 |
| publichealthaggregator | 12 |
| Twitter for iPad | 4 |
What devices were used to tweet
Top 10 accounts with highest followers count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| EricTopol | Eric Topol | physician-scientist, author, editor https://t.co/vwstu2BYrC Ground Truths: https://t.co/YhatcCa3jA | 684,998 |
| MonicaGandhi9 | Monica Gandhi MD, MPH | MD, MPH; ID/HIV MD; UCSF (tweets own); No conflicts; Wrote book on HIV informing COVID & pandemic playbook for Mayo Clinic Press called "Endemic" (pub. 7/11/23) | 94,020 |
| IHME_UW | Institute for Health Metrics and Evaluation (IHME) | A research center at @UW quantifying global health challenges like #COVID19: https://t.co/VbwttwiMwW & making the #GBDstudy: https://t.co/oZEYdtnGH5 #PopulationHealth | 64,520 |
| keyaki1117 | 笹山登生 | ウォッチ・アナライザー。元衆議院議員。関心テーマは日米経済、環境・農業、感染症。「社会にチョットづつのコモンズを増やそう」が合言葉。「シカゴ・オプション売買戦略マニュアル」https://t.co/NqVlOwZqacは好評。 | 27,752 |
| H_S_Global | Health Systems Global | International membership organization dedicated to promoting #HealthSystems research & knowledge translation. RTs≠endorsement. #HSR2022 | 26,633 |
| isanidad | iSanidad | "iSanidad. Lo mejor de la Sanidad" es un portal de información profesional sanitaria que contribuye al mejor conocimiento del entorno de la profesión médica | 22,999 |
| VictimOfMaths | Colin Angus | Alcohol policy modeller in @sarg_scharr @sheffielduni | Health inequalities | COVID-19 | Data visualisation | RStats | Cake | Cycling | Pedantry | Birds | 21,087 |
| AWokeZombie | Woke Zombie 🇺🇸😊 | A typical Data-loving Jersey Girl Pronouns: Muppet/Clown | 21,011 |
| AnastasiaSMihai | Dr Anastasia Mihailidou FAHA FCSANZ FESC | Snr Hospital Scientist @NSLHD, Head, C&HR Lab, @KollingINST; Hon A/Prof MQ University, Chair, @ISHBP Communications, @HyperAHA #SoMe Ed | 16,718 |
| benryanwriter | Benjamin Ryan | 🔬Health & science reporter: COVID, HIV, mpox | Cancer Survivor | Contributor: @NYTimes @NBCNews @Guardian @TRF Also: @WashingtonPost @TheAtlantic @TheNation | 16,029 |
Top 10 accounts with highest friends count
| Username | Name | Bio | Followers count |
|---|---|---|---|
| keyaki1117 | 笹山登生 | ウォッチ・アナライザー。元衆議院議員。関心テーマは日米経済、環境・農業、感染症。「社会にチョットづつのコモンズを増やそう」が合言葉。「シカゴ・オプション売買戦略マニュアル」https://t.co/NqVlOwZqacは好評。 | 30,505 |
| CydM | Cyd Madsen | Born & raised in SoCal, now a proud #Arkansan. USC educated, wife of retired teacher of 45 yrs (married 44 yrs) Fierce Democrat BlueCrew Writer/artist | 7,011 |
| AnastasiaSMihai | Dr Anastasia Mihailidou FAHA FCSANZ FESC | Snr Hospital Scientist @NSLHD, Head, C&HR Lab, @KollingINST; Hon A/Prof MQ University, Chair, @ISHBP Communications, @HyperAHA #SoMe Ed | 6,222 |
| TimothyWSchwab | Tim Schwab | Investigative journalist. Writing book on Bill Gates & the Gates Foundation for @HenryHolt. Intel/sources/leads? DMs open, DM for Signal | 5,966 |
| snorman1776 | Stinson Norwood | "Survived" Covid bc I can run a mile in under an hour | CIO @ https://t.co/kJwRipGJWD | @GYamey's bane | I’ve been vaccinated for Yellow Fever and you have not | 5,333 |
| CyprianDe | Cyprian De Coteau | Worked in Fashion all my Life. Designer:Cyprian DeCoteau PEOPLE! #Clothes! #GaysinFashion!✊🏿💖🌈🇹🇹 | 5,005 |
| tglynn101 | Tim Glynn | MD, analyst. ☘🇦🇫🇵🇸🌻🏳️🌈☮📚Interests include: the climate emergency 🌍🌏🌎🔥♻️, music, public health. Likes: equity, honesty, respect for other people. | 5,002 |
| schheng1 | Susana Chheng | En: Funding Programs / Research / Knowledge Creation / Innovation / Medicine / Health Science Fr: Médecine / Sciende de la santé / Science de la vie | 5,001 |
| NurseLeeLeeLee | 𝐃𝐞𝐜𝐞𝐧𝐜𝐲 | $HMBL $ENZC To save 1 life is to save all of humanity. Tikkun Olam💥𝐑N⛑Inventor: who sells on 📺 sometimes~ see me on QVC. NYC💃NJ🍕Fl🏝Independent of thought. | 4,999 |
| fluxcapdoodah | Bob | Investigating ideas, arguments, evidence, strategies and stories. Likes, follows and retweets are bookmarks, sometimes quizzical, not endorsements. | 4,989 |
Most active users
| Username | Bio | Number of tweets |
|---|---|---|
| monitor_PH | Surveying the field of Public Health. Maintained by @thisisdaryn.Curation of sources is a work in progress. Send feedback to darynr at gmail. | 12 |
| phytools_liam | Evolutionary biologist, R developer, 🇨🇦🇬🇧🌎 adopted by 🇺🇸🇨🇱. Tweets about phylogenetics & (far too often) COVID. | 8 |
| _ppmv | “you don’t incrementally learn a system. You unlearn its necessary lies/Be ruthless with systems, kind to people” Kaminsky/Brooks. Fletcher/Fulbright. d|e|f|i|中 | 8 |
| kleachkemon | Bridging the gap between science & policy @IHME_UW. Contributing Editor @ThinkGlobalHlth. Parent. All views my own. Retweets & follows ≠ endorsements. She/her. | 6 |
| ThinkGlobalHlth | A new site examining how changes in health are reshaping economies, societies, and everyday lives. An initiative from @CFR_org. Follows≠endorsements. | 6 |
| DocJeffD | Health Officer, Public Health - Seattle & King County, WA; ID doc; Prof. Medicine/Infectious Diseases, U Washington. Personal account, not representing PHSKC. | 4 |
| stein_caroline | Postdoctoral Scholar @IHME_UW | 4 |
| AliHMokdad | Husband, father, epidemiologist, Chief Strategy Officer @UW_PHI, Professor @IHME_UW, former @CDCgov senior epidemiologist and director of @BRFSS | 4 |
| tigresseleanor | Malum enim bonum videtur in mentibus eorum, quos deus ducit ad interitum. | 3 |
| ildfluer | Atheist • Ultracrepidarian • DEMOCRACY IS NOT INEVITABLE • Reject LNP + ALP • End the CCP • Relax, it's only Twitter. | 3 |
Tweets per day
Top 10 tweets with highest Retweet count
| ID | Text | Retweet count |
|---|---|---|
| 1626367582910709761 | Link https://t.co/CVIyJDjF74 Graph shows comparison vs vaccination for different outcomes over time Conclusion👇pulls a lot of data all together Work by @IHME_UW team https://t.co/ucnoWJ0SB8 | 32 |
| 1626388577490972673 | Our new @IHME_UW study of past #COVID19 infection protection against re-infection shows that protection pre #Omicron variants was very high and remained high even after 40 weeks. 1/ https://t.co/nr6QjqfrqA | 16 |
| 1624816009512161281 | New @TheLancet: 5 concern letters on @IHME_UW excess deaths: inconsistencies, disagreement w WHO, Euromomo, WMD, Economist. Results confirm+expand ours in @IntJEpidemiol Fig: @jschoeley @hippopedoid @ArielKarlinsky @CharlesTTHF⬇️🧐 https://t.co/FC3p62Abm8 https://t.co/UoWVfWlreM https://t.co/lWgbxsbI9X | 16 |
| 1626649956768485393 | Dr Catherine Johnson @IHME_UW provides strong msg #GBD prediction with growing populations: ❣️⬆️ burden of #CVD in women with increase in older age 🌍 ❣️need for controlling high #cholesterol high fasting glucose high systolic #bloodpressure for women #RISE2023 @Drroxmehran https://t.co/ToFJLVlvJG | 9 |
| 1625058842898833408 | Thanks to @TheLancet for advancing the scientific discourse on excess mortality. Our letter, with others, shows that many of @IHME_UW expected number of deaths are implausible. I'm disappointed by the author's response which addresses none of the issues raised. https://t.co/pjX19QIfZl | 7 |
| 1626405512760930305 | IMMUNITY: Natural infection, vaccination, hybrid immunity all work same way - generate T/B cells against virus (see pinned tweets) protect against severe disease. @IHME_UW shows strong protection from natural infection against hospitalization/death (>88% at 10 months& counting) https://t.co/Y1eeUX4EaA | 6 |
| 1625007555666919429 | Advancing age and underlying #CVD predispose to increased risk of #SARSCoV2 infection and #COVID-related #hospitalization and death. Figure shows the mechanistic contributions to #cardiovascular complications of #COVID19. #NIHCEAL @IHME_UW @mvaduganathan https://t.co/Fzhjv3TDWa https://t.co/iAYN1ZMRf7 | 6 |
| 1626377481971433473 | As most of the world has some immunity to COVID-19—either through vaccination, previous infection, or both—public health policies need to evolve to reflect this reality. My latest with my brilliant @IHME_UW colleagues @stein_caroline & @HNassereldine1. https://t.co/5FxiEyerj6 | 6 |
| 1627717386315890706 | Anna Lok on the path to a #HepatitisB cure at #CROI2023, citing the Global Burden of Disease study from @IHME_UW published last year in @LancetGastroHep, available here https://t.co/5VJRm5qucY | 5 |
| 1625070297450795010 | Ugh. I have a lot of time for @IHME_UW but their consistent refusal to engage with reasonable criticism is disgraceful (@TheLancet don’t come out of this too well either, mind). Full credit to @WHO for taking a more open and receptive approach. https://t.co/PsDrDHw0cI | 5 |
Top 10 tweets with highest Like count
| ID | Text | Like count |
|---|---|---|
| 1626367582910709761 | Link https://t.co/CVIyJDjF74 Graph shows comparison vs vaccination for different outcomes over time Conclusion👇pulls a lot of data all together Work by @IHME_UW team https://t.co/ucnoWJ0SB8 | 173 |
| 1626530077046370304 | @IHME_UW @moderna_tx @pfizer @TheLancet Over 3 years in now, most people have been infected at least once & still hospitals fill & many die. This study is twaddle at best. | 51 |
| 1626405512760930305 | IMMUNITY: Natural infection, vaccination, hybrid immunity all work same way - generate T/B cells against virus (see pinned tweets) protect against severe disease. @IHME_UW shows strong protection from natural infection against hospitalization/death (>88% at 10 months& counting) https://t.co/Y1eeUX4EaA | 43 |
| 1624816009512161281 | New @TheLancet: 5 concern letters on @IHME_UW excess deaths: inconsistencies, disagreement w WHO, Euromomo, WMD, Economist. Results confirm+expand ours in @IntJEpidemiol Fig: @jschoeley @hippopedoid @ArielKarlinsky @CharlesTTHF⬇️🧐 https://t.co/FC3p62Abm8 https://t.co/UoWVfWlreM https://t.co/lWgbxsbI9X | 43 |
| 1625058842898833408 | Thanks to @TheLancet for advancing the scientific discourse on excess mortality. Our letter, with others, shows that many of @IHME_UW expected number of deaths are implausible. I'm disappointed by the author's response which addresses none of the issues raised. https://t.co/pjX19QIfZl | 40 |
| 1626388577490972673 | Our new @IHME_UW study of past #COVID19 infection protection against re-infection shows that protection pre #Omicron variants was very high and remained high even after 40 weeks. 1/ https://t.co/nr6QjqfrqA | 38 |
| 1625070297450795010 | Ugh. I have a lot of time for @IHME_UW but their consistent refusal to engage with reasonable criticism is disgraceful (@TheLancet don’t come out of this too well either, mind). Full credit to @WHO for taking a more open and receptive approach. https://t.co/PsDrDHw0cI | 38 |
| 1624762630219988992 | Find out about our latest publication on the burden of tracheal, bronchus, and lung cancer in North Africa and Middle East region using the GBD 2019 data published in @FrontOncology. Many thanks to @IHME_UW, @shkhanmohammadi and @SaharSaeediM! https://t.co/b1fRoG4lPs | 21 |
| 1627860346546573312 | CoV-19 cases are in CDC’s substantial community transmission range despite being greatly undercounted largely b/c at-home antigen tests not reported & fewer people tested by PCR. @IHME_UW estimated (DEC 2022) that about 5% of cases were reported. 3/https://t.co/ODCKcZ97FB https://t.co/cxdqEj8QEV | 20 |
| 1626551241927950336 | @IHME_UW @moderna_tx @pfizer @TheLancet The study indicated that the risk seems to increase with each infection. “This means that even if you’ve had two COVID-19 infections, it’s better to avoid a third,” Al-Aly said. “And if you’ve had three infections, it’s best to avoid the fourth.” https://t.co/v2UHJp1cU8 | 19 |
Top 3 Languages Used In Tweets
Top 10 Hashtags used
| Hashtag | Count |
|---|---|
| #covid19 | 12 |
| #covid | 10 |
| #cvd | 5 |
| #salud | 3 |
| #sanidad | 3 |
| #omicron | 3 |
| #cardiovascular | 3 |
| #hepatitisb | 2 |
| #croi2023 | 2 |
| #síntomas | 2 |
Top 10 Hashtags Used In Tweets
Top 10 mentions
| Mention | Count |
|---|---|
| @ihme_uw | 246 |
| @thelancet | 40 |
| @erictopol | 32 |
| @moderna_tx | 22 |
| @pfizer | 22 |
| @monicagandhi9 | 22 |
| @alihmokdad | 14 |
| @thinkglobalhlth | 14 |
| @mayer_iras | 13 |
| @realcheckmarker | 12 |
Top 10 mentions
Wordcloud of Tweets
Emojis
Average number of emojis used per tweet
39
Emojis used in tweets
| Emoji | Count | Emoji Text |
|---|---|---|
| 👇 | 13 | backhand_index_pointing_down |
| ⬆️ | 7 | up_arrow |
| 🆕 | 4 | NEW_button |
| ❣️ | 4 | heart_exclamation |
| 🤡 | 4 | clown_face |
| 🦠 | 3 | microbe |
| ⬇️ | 3 | down_arrow |
| 🏡 | 3 | house_with_garden |
| 🔹 | 3 | small_blue_diamond |
| 2️⃣ | 2 | keycap_2 |
Emojis groups
| Emoji Group | Count |
|---|---|
| Symbols | 31 |
| Smileys & Emotion | 22 |
| People & Body | 18 |
| Travel & Places | 6 |
| Flags | 6 |
| Objects | 5 |
| Activities | 5 |
| Animals & Nature | 4 |