Dataset: COVID-19-related knowledge, attitudes, and practices among decisionmakers of indigenous municipalities in Guatemala
Document Type
Data Set
Publication Date
4-17-2020
Abstract
Indigenous communities are often socially and economically marginalized which makes them particularly vulnerable to the impact of COVID-19. The Population Council has a longstanding partnership with indigenous communities in Guatemala through the "Abriendo Oportunidades" program. To understand the knowledge, perspectives, and needs related to the COVID-19 pandemic, we will conduct key informant interviews with indigenous community leaders and frontline workers. Phone-based surveys will be carried out with approximately 130 key informants in the municipalities of Chisec, Patzún, San Andrés Semetabaj, San Juan Ostuncalco, San Juan Sacatepéquez, San Pedro Carchá, Santa María Chiquimula, Totonicapán, Uspantán and Sololá in April 2020. These individual profiles will include heads of household, former girl-program mentors, community health workers and providers, education officers, traditional birth attendants, and municipal officers. We anticipate this effort will provide initial baseline information and subsequent interviews may be conducted throughout 2020. Results from this study will help inform national and municipal prevention and mitigation strategies for indigenous communities and identify government resources that may be prioritized to meet the needs of these communities. Findings will also help decisionmakers understand the effects that COVID-19 is having on girls, girls’ education, and sexual and reproductive health under these rapidly changing conditions.
DOI
10.7910/DVN/30MVD1
Language
English
Recommended Citation
del Valle, Angel, Hannah Briggs, Benjamin Chang, Aiken Chew, Brian Medina, Gabriela Muñoz, Thoai Ngo, Elizabeth Vásquez, Corinne White, and Ramón Zamora. 2020. "COVID-19-related knowledge, attitudes, and practices among decisionmakers of indigenous municipalities in Guatemala," https://doi.org/10.7910/DVN/30MVD1, Harvard Dataverse, V1.
Project
Responding to the COVID-19 Pandemic
Comments
Click here to access study description