COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries

Widespread acceptance of COVID-19 vaccines is crucial for achieving sufficient immunization coverage to end the global pandemic, yet few studies have investigated COVID-19 vaccination attitudes in lower-income countries, where large-scale vaccination is just beginning. We analyze COVID-19 vaccine acceptance across 15 survey samples covering 10 low- and middle-income countries (LMICs) in Asia, Africa and South America, Russia (an upper-middle-income country) and the United States, including a total of 44,260 individuals. We find considerably higher willingness to take a COVID-19 vaccine in our LMIC samples (mean 80.3%; median 78%; range 30.1 percentage points) compared with the United States (mean 64.6%) and Russia (mean 30.4%). Vaccine acceptance in LMICs is primarily explained by an interest in personal protection against COVID-19, while concern about side effects is the most common reason for hesitancy. Health workers are the most trusted sources of guidance about COVID-19 vaccines. Evidence from this sample of LMICs suggests that prioritizing vaccine distribution to the Global South should yield high returns in advancing global immunization coverage. Vaccination campaigns should focus on translating the high levels of stated acceptance into actual uptake. Messages highlighting vaccine efficacy and safety, delivered by healthcare workers, could be effective for addressing any remaining hesitancy in the analyzed LMICs

COVID-19 vaccine acceptance and hesitancy in low- and middle-income countries

Widespread acceptance of COVID-19 vaccines is crucial for achieving sufficient immunization coverage to end the global pandemic, yet few studies have investigated COVID-19 vaccination attitudes in lower-income countries, where large-scale vaccination is just beginning. We analyze COVID-19 vaccine acceptance across 15 survey samples covering 10 low- and middle-income countries (LMICs) in Asia, Africa and South America, Russia (an upper-middle-income country) and the United States, including a total of 44,260 individuals. We find considerably higher willingness to take a COVID-19 vaccine in our LMIC samples (mean 80.3%; median 78%; range 30.1 percentage points) compared with the United States (mean 64.6%) and Russia (mean 30.4%). Vaccine acceptance in LMICs is primarily explained by an interest in personal protection against COVID-19, while concern about side effects is the most common reason for hesitancy. Health workers are the most trusted sources of guidance about COVID-19 vaccines. Evidence from this sample of LMICs suggests that prioritizing vaccine distribution to the Global South should yield high returns in advancing global immunization coverage. Vaccination campaigns should focus on translating the high levels of stated acceptance into actual uptake. Messages highlighting vaccine efficacy and safety, delivered by healthcare workers, could be effective for addressing any remaining hesitancy in the analyzed LMICs.Publisher PDFPeer reviewe

Mapa de brecha de evidencia de los Factores Asociados al Aprendizaje sobre el desempeño en la prueba Saber 11

El presente documento se centró en identificar las brechas de evidencia sobre Factores Asociados al Aprendizaje (FAA) a través de la recopilación y sistematización de documentos y estudios sobre la relación entre los FAA y el desempeño en la evaluación de estado en Colombia, prueba Saber 11.El presente documento se centró en identificar las brechas de evidencia sobre Factores Asociados al Aprendizaje (FAA) a través de la recopilación y sistematización de documentos y estudios sobre la relación entre los FAA y el desempeño en la evaluación de estado en Colombia, prueba Saber 11. Luego de esto se creó un Mapa de Brecha de Evidencia que permite ilustrar de forma agregada cuáles son los factores que se han estudiado más en la literatura que afectan el desempeño académico y en cuáles otros factores existe una brecha de evidencia. La motivación surge de la identificación de vacíos conceptuales acerca de los factores que inciden en el desempeño y que impactan los resultados de las pruebas Saber 11, desagregados por puntaje global, matemáticas, lenguaje, competencias ciudadanas, inglés y ciencias. Gracias al Mapa de Brecha de Evidencia se pueden identificar dos tipos de brechas, una sobre los factores asociados y otra sobre los puntajes de la prueba Saber 11. Se identifica que las áreas de ciencias, inglés y ciencias sociales son las áreas que menos cuentan con estudios de Factores Asociados al Aprendizaje y, por otro lado, los Factores Asociados relacionados con el clima escolar, número de estudiantes en el aula, medio ambiente y contexto presentan una menor cantidad de estudios disponibles.Magíster en Economía AplicadaMaestrí