Epidemiology

Social media study of public opinions on potential COVID-19 vaccines: informing dissent, disparities, and dissemination

1. Hanjia Lyu
2. Junda Wang
3. Wei Wu
4. Viet Duong
5. Xiyang Zhang
6. Timothy D. Dye
7. Jiebo Luo

• Curated by eLife

  Evaluation Summary:

  This study uses social media data (namely twitter) to analyse factors of covid-vaccine acceptance. It first trains a classifier to detect whether a tweets pro-vaccine, neutral, or against. Using then a large corpus of accounts, it investigates multiple factors explaining this position in a light counterfactual analysis. The central finding is that the most socioeconomically disadvantaged groups are more likely to hold polarized opinions on COVID-19 vaccines; other findings inclduing that personal pandemic experience has an important impact on acceptance, or that interest in politics modulates acceptance. This study a good example of what machine learning can do with social media data; however it is also a good example of the high data-demands and limitations of a machine learning approach. The correlations found are plausible but the causal implications are not evidenced strongly enough to guide public policy.

  (This preprint has been reviewed by eLife. We include the public reviews from the reviewers here; the authors also receive private feedback with suggested changes to the manuscript. Reviewer #1 and Reviewer #2 agreed to share their names with the authors.)

Reviewed by eLife, ScreenIT

Dynamic prioritization of COVID-19 vaccines when social distancing is limited for essential workers

1. Jack H. Buckner
2. Gerardo Chowell
3. Michael R. Springborn

Reviewed by ScreenIT

Investigating the effects of absolute humidity and movement on COVID-19 seasonality in the United States

1. Gary Lin
2. Alisa Hamilton
3. Oliver Gatalo
4. Fardad Haghpanah
5. Takeru Igusa
6. Eili Klein

Reviewed by ScreenIT

Racial and Ethnic Disparities in Population-Level Covid-19 Mortality

1. Cary P. Gross
2. Utibe R. Essien
3. Saamir Pasha
4. Jacob R. Gross
5. Shi-yi Wang
6. Marcella Nunez-Smith

Reviewed by ScreenIT

Assessment of Vaccination and Underreporting on COVID-19 Infections in Turkey Based On Effective Reproduction Number

1. Tuğba Akman Yıldız
2. Emek Köse
3. Necibe Tuncer

Reviewed by ScreenIT

When is SARS-CoV-2 in your shopping list?

1. Gustavo Hernandez-Mejia
2. Esteban A. Hernandez-Vargas

Reviewed by ScreenIT

Getting to zero quickly in the 2019-nCov epidemic with vaccines or rapid testing

1. Gerardo Chowell
2. Ranu Dhillon
3. Devabhaktuni Srikrishna

Reviewed by ScreenIT

Longitudinal Trends and Risk Factors for Depressed Mood Among Canadian Adults During the First Wave of COVID-19

1. Gustavo S. Betini
2. John P. Hirdes
3. Rhéda Adekpedjou
4. Christopher M. Perlman
5. Nathan Huculak
6. Paul Hébert

Reviewed by ScreenIT

Assessment of effective mitigation and prediction of the spread of SARS-CoV-2 in Germany using demographic information and spatial resolution

1. Martin J. Kühn
2. Daniel Abele
3. Tanmay Mitra
4. Wadim Koslow
5. Majid Abedi
6. Kathrin Rack
7. Martin Siggel
8. Sahamoddin Khailaie
9. Margrit Klitz
10. Sebastian Binder
11. Luca Spataro
12. Jonas Gilg
13. Jan Kleinert
14. Matthias Häberle
15. Lena Plötzke
16. Christoph D. Spinner
17. Melanie Stecher
18. Xiao Xiang Zhu
19. Achim Basermann
20. Michael Meyer-Hermann

Reviewed by ScreenIT

Macrolevel association of COVID-19 with non-communicable disease risk factors in India

1. Kiran Gaur
2. Raghubir S. Khedar
3. Kishore Mangal
4. Arvind K. Sharma
5. Rajinder K. Dhamija
6. Rajeev Gupta

Reviewed by ScreenIT