Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.
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%0 Journal Article
%1 journals/jamia/WangLHKOMMNL23
%A Wang, Hanyin
%A Li, Yikuan
%A Hutch, Meghan R.
%A Kline, Adrienne S.
%A Otero, Sebastian
%A Mithal, Leena B.
%A Miller, Emily S.
%A Naidech, Andrew
%A Luo, Yuan
%D 2023
%J J. Am. Medical Informatics Assoc.
%K dblp
%N 5
%P 923-931
%T Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.
%U http://dblp.uni-trier.de/db/journals/jamia/jamia30.html#WangLHKOMMNL23
%V 30
@article{journals/jamia/WangLHKOMMNL23,
added-at = {2023-06-02T00:00:00.000+0200},
author = {Wang, Hanyin and Li, Yikuan and Hutch, Meghan R. and Kline, Adrienne S. and Otero, Sebastian and Mithal, Leena B. and Miller, Emily S. and Naidech, Andrew and Luo, Yuan},
biburl = {https://www.bibsonomy.org/bibtex/2ae4accbb4b680150830b2a2b29844ae1/dblp},
ee = {https://doi.org/10.1093/jamia/ocad029},
interhash = {1dc959ddfb4e9fbf8804150a389de38a},
intrahash = {ae4accbb4b680150830b2a2b29844ae1},
journal = {J. Am. Medical Informatics Assoc.},
keywords = {dblp},
month = {April},
number = 5,
pages = {923-931},
timestamp = {2024-04-08T17:12:53.000+0200},
title = {Patterns of diverse and changing sentiments towards COVID-19 vaccines: a sentiment analysis study integrating 11 million tweets and surveillance data across over 180 countries.},
url = {http://dblp.uni-trier.de/db/journals/jamia/jamia30.html#WangLHKOMMNL23},
volume = 30,
year = 2023
}