How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data
- DOI
- 10.3390/ijerph17113923
- Published
- 2020-06-01
- Container
- International Journal of Environmental Research and Public Health
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/ijerph17113923,
title = {How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data},
author = {Toussaint Rouamba and Sekou Samadoulougou and Cheick Saïd Compaoré and Halidou Tinto and Jean Gaudart and Fati Kirakoya-Samadoulougou},
year = {2020},
journal = {International Journal of Environmental Research and Public Health},
doi = {10.3390/ijerph17113923},
url = {https://doi.org/10.3390/ijerph17113923}
}RIS
TY - JOUR TI - How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data AU - Toussaint Rouamba AU - Sekou Samadoulougou AU - Cheick Saïd Compaoré AU - Halidou Tinto AU - Jean Gaudart AU - Fati Kirakoya-Samadoulougou PY - 2020 JO - International Journal of Environmental Research and Public Health DO - 10.3390/ijerph17113923 UR - https://doi.org/10.3390/ijerph17113923 ER -
APA
Rouamba, T., Samadoulougou, S., Compaoré, C. S., Tinto, H., Gaudart, J., & Kirakoya-Samadoulougou, F. (2020). How to Estimate Optimal Malaria Readiness Indicators at Health-District Level: Findings from the Burkina Faso Service Availability and Readiness Assessment (SARA) Data. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph17113923
Source records
- crossref · retrieved 2026-09-26T13:28:52.007Z