Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study
South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD)...
Ausführliche Beschreibung
Autor*in: |
Patrick D. M. C. Katoto [verfasserIn] Saahier Parker [verfasserIn] Nancy Coulson [verfasserIn] Nirvana Pillay [verfasserIn] Sara Cooper [verfasserIn] Anelisa Jaca [verfasserIn] Edison Mavundza [verfasserIn] Gregory Houston [verfasserIn] Candice Groenewald [verfasserIn] Zaynab Essack [verfasserIn] Jane Simmonds [verfasserIn] Londiwe Deborah Shandu [verfasserIn] Marilyn Couch [verfasserIn] Nonkululeko Khuzwayo [verfasserIn] Nobukhosi Ncube [verfasserIn] Phelele Bhengu [verfasserIn] Heidi van Rooyen [verfasserIn] Charles Shey Wiysonge [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2022 |
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Schlagwörter: |
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Übergeordnetes Werk: |
In: Vaccines - MDPI AG, 2013, 10(2022), 3, p 353 |
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Übergeordnetes Werk: |
volume:10 ; year:2022 ; number:3, p 353 |
Links: |
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DOI / URN: |
10.3390/vaccines10030353 |
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Katalog-ID: |
DOAJ079250459 |
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10.3390/vaccines10030353 doi (DE-627)DOAJ079250459 (DE-599)DOAJ26ceaffbee3244f7bb018c7bbf2b1443 DE-627 ger DE-627 rakwb eng Patrick D. M. C. Katoto verfasserin aut Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. immunization vaccine acceptance behaviors social drivers SARS-CoV-2 Medicine R Saahier Parker verfasserin aut Nancy Coulson verfasserin aut Nirvana Pillay verfasserin aut Sara Cooper verfasserin aut Anelisa Jaca verfasserin aut Edison Mavundza verfasserin aut Gregory Houston verfasserin aut Candice Groenewald verfasserin aut Zaynab Essack verfasserin aut Jane Simmonds verfasserin aut Londiwe Deborah Shandu verfasserin aut Marilyn Couch verfasserin aut Nonkululeko Khuzwayo verfasserin aut Nobukhosi Ncube verfasserin aut Phelele Bhengu verfasserin aut Heidi van Rooyen verfasserin aut Charles Shey Wiysonge verfasserin aut In Vaccines MDPI AG, 2013 10(2022), 3, p 353 (DE-627)736559205 (DE-600)2703319-3 2076393X nnns volume:10 year:2022 number:3, p 353 https://doi.org/10.3390/vaccines10030353 kostenfrei https://doaj.org/article/26ceaffbee3244f7bb018c7bbf2b1443 kostenfrei https://www.mdpi.com/2076-393X/10/3/353 kostenfrei https://doaj.org/toc/2076-393X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 3, p 353 |
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10.3390/vaccines10030353 doi (DE-627)DOAJ079250459 (DE-599)DOAJ26ceaffbee3244f7bb018c7bbf2b1443 DE-627 ger DE-627 rakwb eng Patrick D. M. C. Katoto verfasserin aut Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. immunization vaccine acceptance behaviors social drivers SARS-CoV-2 Medicine R Saahier Parker verfasserin aut Nancy Coulson verfasserin aut Nirvana Pillay verfasserin aut Sara Cooper verfasserin aut Anelisa Jaca verfasserin aut Edison Mavundza verfasserin aut Gregory Houston verfasserin aut Candice Groenewald verfasserin aut Zaynab Essack verfasserin aut Jane Simmonds verfasserin aut Londiwe Deborah Shandu verfasserin aut Marilyn Couch verfasserin aut Nonkululeko Khuzwayo verfasserin aut Nobukhosi Ncube verfasserin aut Phelele Bhengu verfasserin aut Heidi van Rooyen verfasserin aut Charles Shey Wiysonge verfasserin aut In Vaccines MDPI AG, 2013 10(2022), 3, p 353 (DE-627)736559205 (DE-600)2703319-3 2076393X nnns volume:10 year:2022 number:3, p 353 https://doi.org/10.3390/vaccines10030353 kostenfrei https://doaj.org/article/26ceaffbee3244f7bb018c7bbf2b1443 kostenfrei https://www.mdpi.com/2076-393X/10/3/353 kostenfrei https://doaj.org/toc/2076-393X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 3, p 353 |
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10.3390/vaccines10030353 doi (DE-627)DOAJ079250459 (DE-599)DOAJ26ceaffbee3244f7bb018c7bbf2b1443 DE-627 ger DE-627 rakwb eng Patrick D. M. C. Katoto verfasserin aut Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. immunization vaccine acceptance behaviors social drivers SARS-CoV-2 Medicine R Saahier Parker verfasserin aut Nancy Coulson verfasserin aut Nirvana Pillay verfasserin aut Sara Cooper verfasserin aut Anelisa Jaca verfasserin aut Edison Mavundza verfasserin aut Gregory Houston verfasserin aut Candice Groenewald verfasserin aut Zaynab Essack verfasserin aut Jane Simmonds verfasserin aut Londiwe Deborah Shandu verfasserin aut Marilyn Couch verfasserin aut Nonkululeko Khuzwayo verfasserin aut Nobukhosi Ncube verfasserin aut Phelele Bhengu verfasserin aut Heidi van Rooyen verfasserin aut Charles Shey Wiysonge verfasserin aut In Vaccines MDPI AG, 2013 10(2022), 3, p 353 (DE-627)736559205 (DE-600)2703319-3 2076393X nnns volume:10 year:2022 number:3, p 353 https://doi.org/10.3390/vaccines10030353 kostenfrei https://doaj.org/article/26ceaffbee3244f7bb018c7bbf2b1443 kostenfrei https://www.mdpi.com/2076-393X/10/3/353 kostenfrei https://doaj.org/toc/2076-393X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 3, p 353 |
allfieldsGer |
10.3390/vaccines10030353 doi (DE-627)DOAJ079250459 (DE-599)DOAJ26ceaffbee3244f7bb018c7bbf2b1443 DE-627 ger DE-627 rakwb eng Patrick D. M. C. Katoto verfasserin aut Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. immunization vaccine acceptance behaviors social drivers SARS-CoV-2 Medicine R Saahier Parker verfasserin aut Nancy Coulson verfasserin aut Nirvana Pillay verfasserin aut Sara Cooper verfasserin aut Anelisa Jaca verfasserin aut Edison Mavundza verfasserin aut Gregory Houston verfasserin aut Candice Groenewald verfasserin aut Zaynab Essack verfasserin aut Jane Simmonds verfasserin aut Londiwe Deborah Shandu verfasserin aut Marilyn Couch verfasserin aut Nonkululeko Khuzwayo verfasserin aut Nobukhosi Ncube verfasserin aut Phelele Bhengu verfasserin aut Heidi van Rooyen verfasserin aut Charles Shey Wiysonge verfasserin aut In Vaccines MDPI AG, 2013 10(2022), 3, p 353 (DE-627)736559205 (DE-600)2703319-3 2076393X nnns volume:10 year:2022 number:3, p 353 https://doi.org/10.3390/vaccines10030353 kostenfrei https://doaj.org/article/26ceaffbee3244f7bb018c7bbf2b1443 kostenfrei https://www.mdpi.com/2076-393X/10/3/353 kostenfrei https://doaj.org/toc/2076-393X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 10 2022 3, p 353 |
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Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study |
abstract |
South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. |
abstractGer |
South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. |
abstract_unstemmed |
South Africa launched a mass COVID-19 vaccination campaign in May 2021, targeting 40 million adults. Understanding predictors of COVID-19 vaccine intentions was required to achieve this goal. We conducted a population-based survey in June–July 2021 using the WHO Behavioral and Social Drivers (BeSD) of COVID-19 Vaccination tool to determine predictors of vaccine hesitancy, defined as intention to refuse or uncertainty whether to accept COVID-19 vaccination. There were 1193 participants, mean age 39 (standard deviation 15) years, and 53% women, of whom 58% trusted information provided by healthcare workers and 32% were vaccine hesitant. Independent predictors of vaccine hesitancy included concerns about side effects (odds ratio (OR) 11.41; 95% confidence interval (CI) 3.5–50.80), lack of access to the online vaccine registration platform (OR 4.75; CI 2.15–10.37), distrust of government (OR 3.0; CI 1.33–6.77), belief in conspiracy theories (OR 3.01; CI 1.32–6.77), having no monthly income (OR 1.84; CI 1.12–3.07), and depending on someone else to make vaccination decision (OR 2.47; CI 1.06–5.77). We identified modifiable predictors of vaccine hesitancy at the start of South Africa’s COVID-19 vaccination rollout. These factors should be addressed by different stakeholders involved in the national immunization program through tailored communication and other effective strategies that increase vaccine literacy, reach low-income households, and engender confidence in government. |
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container_issue |
3, p 353 |
title_short |
Predictors of COVID-19 Vaccine Hesitancy in South African Local Communities: The VaxScenes Study |
url |
https://doi.org/10.3390/vaccines10030353 https://doaj.org/article/26ceaffbee3244f7bb018c7bbf2b1443 https://www.mdpi.com/2076-393X/10/3/353 https://doaj.org/toc/2076-393X |
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author2 |
Saahier Parker Nancy Coulson Nirvana Pillay Sara Cooper Anelisa Jaca Edison Mavundza Gregory Houston Candice Groenewald Zaynab Essack Jane Simmonds Londiwe Deborah Shandu Marilyn Couch Nonkululeko Khuzwayo Nobukhosi Ncube Phelele Bhengu Heidi van Rooyen Charles Shey Wiysonge |
author2Str |
Saahier Parker Nancy Coulson Nirvana Pillay Sara Cooper Anelisa Jaca Edison Mavundza Gregory Houston Candice Groenewald Zaynab Essack Jane Simmonds Londiwe Deborah Shandu Marilyn Couch Nonkululeko Khuzwayo Nobukhosi Ncube Phelele Bhengu Heidi van Rooyen Charles Shey Wiysonge |
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doi_str |
10.3390/vaccines10030353 |
up_date |
2024-07-03T22:30:35.458Z |
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