Publications by authors named "Mercy Obasanya"
Article Synopsis
- The study examines the impact of structural racism on maternal health disparities among non-Hispanic Black women in North Texas through a system dynamics modeling approach.
- Participants identified 83 key variables and created behavior-over-time graphs and causal loop diagrams that revealed complex interactions among these variables.
- The findings highlighted 11 targets for action and confirmed that structural racism is a significant factor influencing maternal health outcomes for this group.
Racial and Ethnic Differences in Maternal and Child COVID-19 Vaccination Intent Among Pregnant and Postpartum Women in the USA (April-June 2020): an Application of Health Belief Model.
J Racial Ethn Health Disparities
October 2023
This study investigated racial/ethnic differences in pregnant and postpartum women's intentions to receive the COVID-19 vaccination (maternal COVID-19 vaccination intent) and intentions to vaccinate their children against COVID-19 (child COVID-19 vaccination intent) during the early months of the COVID-19 pandemic (April-June 2020). This study also assessed Health Belief Model constructs to examine their influence on maternal and child COVID-19 vaccination intent by race/ethnicity. This study includes 489 US pregnant and postpartum women (18-49 years) recruited via Prolific Academic to complete a 55-item cross-sectional online survey.
View Article and Find Full Text PDFObjective: The aims of the study were to examine the association between social media sentiments surrounding COVID-19 vaccination and the effects on vaccination rates in the United States (US), as well as other contributing factors to the COVID-19 vaccine hesitancy.
Method: The dataset used in this study consists of vaccine-related English tweets collected in real-time from January 4 - May 11, 2021, posted within the US, as well as health literacy (HL), social vulnerability index (SVI), and vaccination rates at the state level.
Results: The findings presented in this study demonstrate a significant correlation between the sentiments of the tweets and the vaccination rate in the US.