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Short Report

Intent to get vaccinated against COVID-19 among reproductive-aged women in Texas

Abbey B. BerensonCenter for Interdisciplinary Research in Women’s Health (ABB, MC, JMH), Department of Obstetrics and Gynecology (ABB, MC, JMH), School of Medicine (MK), The University of Texas Medical Branch, Galveston, TX, USACorrespondence[email protected]

Mihyun ChangCenter for Interdisciplinary Research in Women’s Health (ABB, MC, JMH), Department of Obstetrics and Gynecology (ABB, MC, JMH), School of Medicine (MK), The University of Texas Medical Branch, Galveston, TX, USA

Jacqueline M. HirthCenter for Interdisciplinary Research in Women’s Health (ABB, MC, JMH), Department of Obstetrics and Gynecology (ABB, MC, JMH), School of Medicine (MK), The University of Texas Medical Branch, Galveston, TX, USA

Manasa KanukurthyCenter for Interdisciplinary Research in Women’s Health (ABB, MC, JMH), Department of Obstetrics and Gynecology (ABB, MC, JMH), School of Medicine (MK), The University of Texas Medical Branch, Galveston, TX, USA

Figures & data

Table 1. Characteristics of reproductive-aged (18–45 year old) female respondents, stratified by likelihood of acceptance of COVID vaccine (N = 342)

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Table 2. Reasons that may affect the decision to get the COVID-19 vaccine (N = 342)

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Table 3. Perceptions of Covid-19 likelihood of accepting the vaccine with doctor’s recommendation (N = 342)

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Table 4. Multivariable analysis of likelihood of accepting the COVID-19 vaccine if doctor recommends it by characteristics (N = 342)

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Intent to get vaccinated against COVID-19 among reproductive-aged women in Texas

Table 1. Characteristics of reproductive-aged (18–45 year old) female respondents, stratified by likelihood of acceptance of COVID vaccine (N = 342)

Table 2. Reasons that may affect the decision to get the COVID-19 vaccine (N = 342)

Table 3. Perceptions of Covid-19 likelihood of accepting the vaccine with doctor’s recommendation (N = 342)

Table 4. Multivariable analysis of likelihood of accepting the COVID-19 vaccine if doctor recommends it by characteristics (N = 342)

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Intent to get vaccinated against COVID-19 among reproductive-aged women in Texas

Figures & data

Table 1. Characteristics of reproductive-aged (18–45 year old) female respondents, stratified by likelihood of acceptance of COVID vaccine (N = 342)

Table 2. Reasons that may affect the decision to get the COVID-19 vaccine (N = 342)

Table 3. Perceptions of Covid-19 likelihood of accepting the vaccine with doctor’s recommendation (N = 342)

Table 4. Multivariable analysis of likelihood of accepting the COVID-19 vaccine if doctor recommends it by characteristics (N = 342)

Supplemental Material

Reprints and Corporate Permissions

Academic Permissions

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