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Covid-19 Vaccines & Therapeutics Twitter Report for the Week of October 16, 2022

There were 4,992 unique tweets. The number of tweets on a given day ranged from 561 on Tuesday, the 18th to 915 on Saturday, the 22nd. Pfizer vaccine had the most tweets this week with 2,166. Monoclonal antibodies had the fewest tweets this week with 156.
Worldwide Covid-19 new cases & deaths

worldwide Covid-19 new cases and deaths week of 2022-10-16


Daily sentiment

Net daily sentiment ranged from -35.85 for Remdesivir on Sunday the 16th to 16.78 for Monoclonal antibodies on Saturday the 22nd.

The sentiment for each tweet is scored from -1 (most negative) to +1 (most positive) using VADER sentiment analysis. Net sentiment is calculated by summing the sentiment across all tweets for a given day and/or category, then normalizing the score by the number of tweets.

daily sentiment for tweets discussin Covid-19 vaccines and therapeutics published between 2022-10-16 and 2022-10-22


Medical conditions from the MedDRA dictionary

Infection was the most frequently observed medical condition mentioned. Forgetfulness had the highest overall net sentiment of 10.64. Poisoning had the lowest net sentiment this week (-52.09).

medical condition count sentiment
Infection 140 -1.31
Flu 79 -27.64
Sickness 55 -41.10
Cancer 45 -37.68
Confused, Confusion 31 -19.07
Pneumonia 31 -38.84
Coldness, Cold 27 -33.51
Pain 23 -39.88
Poisoning 23 -52.09
Forgetfulness 22 10.64

MedDra is a standardized medical terminology developed by the International Council for Harmonization Cross-referencing tweets against this list is a starting point for identifying medical conditions mentioned in tweets.


Cross-referencing the MedDRA dictionary by sentiment and topic

Positive tweets:

There were 150 tweets with an strong positive sentiment. The top 10 most frequent medical conditions mentioned within these tweets were (1) Infection, (2) Flu, (3) Blindness, Blind, (4) Cancer, (5) Forgetfulness, (6) Fall, (7) Arthritis, (8) Coldness, Cold, (9) Sickness, (10) Confused, Confusion. Of these terms, Blindness, Blind (n=9), Fall (n=6), Arthritis (n=5) were not in the top 10 most frequent terms across all tweets.

Meddra conditions associated with positive tweets about Covid-19 vaccines and therapeutics published between 2022-10-16 and 2022-10-22

Negative tweets:

There were 333 tweets with an strong negative sentiment. The top 10 most frequent medical conditions mentioned within these tweets were (1) Infection, (2) Flu, (3) Sickness, (4) Cancer, (5) Pneumonia, (6) Confused, Confusion, (7) Poisoning, (8) Coldness, Cold, (9) Pain, (10) Drug ineffective. Of these terms, Drug ineffective (n=12) were not in the top 10 most frequent terms across all tweets.

Meddra conditions associated with negative tweets about Covid-19 vaccines and therapeutics published between 2022-10-16 and 2022-10-22


Word-level analysis

The 25 most important words within positive tweets (compared to negative and neutral) tweets are shown in the treemap below. The size of each box represents the weighted score of each word. The word “treat” within the search for “Ivermectin” had the highest overall weight. When the words are summed for each topic, Pfizer vaccine had the highest overall weight.

words associated with positive tweets about Covid-19 vaccines and therapeutics published between 2022-10-16 and 2022-10-22

The 25 most important words within negative tweets (compared to positive and neutral) tweets are shown in the treemap below. The word “risk” within the search for “Moderna vaccine” had the highest overall weight. When the words are summed for each topic, “Ivermectin” had the highest overall weight within negative tweets.

words associated with negative tweets about Covid-19 vaccines and therapeutics published between 2022-10-16 and 2022-10-22

This analysis of words evaluates the stemmed version of words using the Snowball algorithm. By stemming words, words with similar meaning, such as pain, painful & pained, are grouped together as simply “pain”.


References

Webpage created in R version 4.1.0 (2021-05-18) and R Studio (Version 1.4.1717) using the following packages: plotly, kableExtra, formattable, treemap, and wordpressr.

  • C. Sievert. Interactive Web-Based Data Visualization with R, plotly, and shiny. Chapman and Hall/CRC Florida, 2020.
  • Hao Zhu (2021). kableExtra: Construct Complex Table with ‘kable’ and Pipe Syntax. R package version 1.3.4.
  • Kun Ren and Kenton Russell (2021). formattable: Create ‘Formattable’ Data Structures. R package version 0.2.1.
  • Martijn Tennekes (2021). treemap: Treemap Visualization. R package version 2.4-3.
  • Simit Patel (2021). wordpressr: An API Wrapper for WordPress Site APIs. R package version 0.1.0.
  • WHO COVID-19 Dashboard. Geneva: World Health Organization, 2020. Available online: https://covid19.who.int/ (last cited: Oct 28, 2022).
  • Hutto, C.J. & Gilbert, E.E. (2014). VADER: A Parsimonious Rule-based Model for Sentiment Analysis of Social Media Text. Eighth International Conference on Weblogs and Social Media (ICWSM-14). Ann Arbor, MI, June 2014.

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