Fertility;
COVID-19;
vaccination;
social media;
twitter;
text analysis;
D O I:
10.3233/SHTI231044
中图分类号:
TP18 [人工智能理论];
学科分类号:
081104 ;
0812 ;
0835 ;
1405 ;
摘要:
We used text analysis to examine trends and self-reporting in Twitter regarding COVID-19 disease and COVID-19 vaccines' effects on fertility. Trends and self-reporting related to COVID19 vaccines indicates that further research is needed to enable women to feel they have sufficient information to make decisions regarding vaccination, together with social listening and engagement with women's concerns regarding vaccination effects.