The urgency of strengthening health information to support public perception and involvement in the COVID-19 vaccine / La urgencia de fortalecer la información de salud respalda la participación comunitaria en la vacuna contra la COVID-19

Objective: To identify the driving and inhibiting factors and to find a prototype of community involvement in the COVID-19 vaccine. Method: Data sources from PubMed database, Google Scholar, Web of Science, and ProQuest. The data were obtained based on searches using the keyword COVID-19 (n = 11,.599), focusing on community acceptance (n = 813), community involvement (n = 86), and types of articles (n = 46). Articles that meet the inclusion criteria are seven, and the data were analyzed with ATLAS Ti.9 software. Results: Engagement and driving factors have the highest correlation (0.38). The drivers, perceptions of vulnerability, and inhibiting factors determine community involvement. The perception of exposure can be a supporting or inhibiting factor influenced by information reinforcement. Conclusions: Strengthening positive information can alter the sense of community vulnerability, making it a driving force for participation in the COVID-19 vaccine campaign. This finding is an appropriate strategy to expand the reach and resolve public doubts about accepting the vaccine. (AU)

Objetivo: Identificar los factores impulsores e inhibidores y encontrar un prototipo de participación comunitaria en la vacuna contra la COVID-19. Método: Fuentes de datos de las bases de datos PubMed, Google Scholar, Web of Science y ProQuest. Los datos totales se basan en búsquedas con la palabra clave COVID-19 (n = 11.599), centrándose en la aceptación de la comunidad (n = 813), la participación de la comunidad (n = 86) y los tipos de artículos de investigación (n = 46). Los artículos que cumplieron con los criterios de inclusión fueron siete. Los datos se analizaron con el software ATLAS Ti.9. Resultados: El compromiso y los factores impulsores tienen la correlación más alta (0,38). La participación de la comunidad está determinada por tres factores: impulsores, percepciones de vulnerabilidad e inhibidores. La percepción de vulnerabilidad puede ser un factor de apoyo o de inhibición que se ve influido por el refuerzo de la información. Conclusiones: Fortalecer la información positiva puede cambiar la percepción de vulnerabilidad de la comunidad para que se convierta en un factor motivador para que esta se involucre en la vacuna contra la COVID-19. Este hallazgo es una estrategia adecuada para ampliar el alcance y resolver las dudas del público sobre la aceptación de la vacuna contra la COVID-19. (AU)

The urgency of strengthening health information to support public perception and involvement in the COVID-19 vaccine.

OBJECTIVE: To identify the driving and inhibiting factors and to find a prototype of community involvement in the COVID-19 vaccine. METHOD: Data sources from PubMed database, Google Scholar, Web of Science, and ProQuest. The data were obtained based on searches using the keyword COVID-19 (n=11,.599), focusing on community acceptance (n=813), community involvement (n=86), and types of articles (n=46). Articles that meet the inclusion criteria are seven, and the data were analyzed with ATLAS Ti.9 software. RESULTS: Engagement and driving factors have the highest correlation (0.38). The drivers, perceptions of vulnerability, and inhibiting factors determine community involvement. The perception of exposure can be a supporting or inhibiting factor influenced by information reinforcement. CONCLUSIONS: Strengthening positive information can alter the sense of community vulnerability, making it a driving force for participation in the COVID-19 vaccine campaign. This finding is an appropriate strategy to expand the reach and resolve public doubts about accepting the vaccine.

Analyzing the use of pesticides on health complaints of farmers in Waihatu Village, Indonesia.

OBJECTIVE: The study aimed to find the factors that contributed greatly to health complaints due to use of pesticides. METHOD: The research using the cross-sectional research design. The sample was determined using a total sampling technique. Data analysis was performed by path analysis using Smart PLS. RESULTS: The result of the study found that the use of pesticides affected the working time t-statistic 3.467. The use of pesticides affects health complaints t-statistic 2.586. Types of pesticides affect working time t-statistic 2. Improper timing of spraying and the frequency of spraying has a bigger impact on farmers' health complaints. CONCLUSIONS: Spraying time has the greatest influence on health complaints. It is recommended that farmers reduce the frequency of spraying more than 2 times a day, spraying time in the morning, and pay attention to the wind direction to reduce exposure and health hazards due to pesticides.

Analyzing the use of pesticides on health complaints of farmers in Waihatu Village, Indonesia

Objective: The study aimed to find the factors that contributed greatly to health complaints due to use of pesticides. Method: The research using the cross-sectional research design. The sample was determined using a total sampling technique. Data analysis was performed by path analysis using Smart PLS. Results: The result of the study found that the use of pesticides affected the working time t-statistic 3.467. The use of pesticides affects health complaints t-statistic 2.586. Types of pesticides affect working time t-statistic 2. Improper timing of spraying and the frequency of spraying has a bigger impact on farmers’ health complaints. Conclusions: Spraying time has the greatest influence on health complaints. It is recommended that farmers reduce the frequency of spraying more than 2 times a day, spraying time in the morning, and pay attention to the wind direction to reduce exposure and health hazards due to pesticides. (AU)